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Sample records for readera medical decision

  1. Medical decisions under uncertainty.

    PubMed

    Carmi, A

    1993-01-01

    The court applies the criteria of the reasonable doctor and common practice in order to consider the behaviour of a defendant physician. The meaning of our demand that the doctor expects that his or her acts or omissions will bring about certain implications is that, according to the present circumstances and subject to the limited knowledge of the common practice, the course of certain events or situations in the future may be assumed in spite of the fog of uncertainty which surrounds us. The miracles and wonders of creation are concealed from us, and we are not aware of the way and the nature of our bodily functioning. Therefore, there seems to be no way to avoid mistakes, because in several cases the correct diagnosis cannot be determined even with the most advanced application of all information available. Doctors find it difficult to admit that they grope in the dark. They wish to form clear and accurate diagnoses for their patients. The fact that their profession is faced with innumerable and unavoidable risks and mistakes is hard to swallow, and many of them claim that in their everyday work this does not happen. They should not content themselves by changing their style. A radical metamorphosis is needed. They should not be tempted to formulate their diagnoses in 'neutral' statements in order to be on the safe side. Uncertainty should be accepted and acknowledged by the profession and by the public at large as a human phenomenon, as an integral part of any human decision, and as a clear characteristic of any legal or medical diagnosis.(ABSTRACT TRUNCATED AT 250 WORDS)

  2. Influence of framing on medical decision making

    PubMed Central

    Gong, Jingjing; Zhang, Yan; Feng, Jun; Huang, Yonghua; Wei, Yazhou; Zhang, Weiwei

    2013-01-01

    Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts, especially in medical decision making. Unfortunately, research is still inconsistent as to how so many variables impact framing effects in medical decision making. Additionally, much attention should be paid to the framing effect not only in hypothetical scenarios but also in clinical experience. PMID:27034630

  3. Medical Decision-Making by Psychiatry Residents

    ERIC Educational Resources Information Center

    El-Mallakh, Rif; Zinner, Jill; Mackey, Amanda; Tamas, Rebecca L.; Martin, Chanley M.; Dalton, Jerad; Dhaliwal, Nitu; Luddington, Nicole; Numan, Farhad U.; Nunes, Ross; Taylor, Stephen; Ye, Lu

    2007-01-01

    Objective: Several conspiring factors have resulted in an increase in the level of medical burden in psychiatric patients. Psychiatry residents require increasing levels of medical sophistication. To assess the medical decision-making of psychiatry residents, the authors examined the outcome in subjects initially seen in the emergency psychiatric…

  4. [Kairos. Decision-making in medical ethics].

    PubMed

    Jousset, David

    2014-06-01

    This paper assesses the decision making patterns in medical ethics: the formalized pattern of decision science, the meditative pattern of an art of judgement and lastly the still-to-be-elaborated pattern of kairology or sense of the right time. The ethical decision is to be thought out in the conditions of medical action while resorting to the philosophical concepts that shed light on the issue. And it is precisely where medicine and philosophy of human action meet that the Greek notion of kairos, or "propitious moment", evokes the critical point where decision has to do with what is vital. Reflection shows that this kairos can be thought out outside the sacrificial pattern (deciding comes down to killing a possibility) by understanding the opportune moment as a sign of ethical action, as the condition for the formation of the subject (making a decision) and finally as a new relationship to time, including in the context of medical urgency. Thus with an approach to clinical ethics centred on the relation to the individual, the focus is less on the probabilistic knowledge of the decidable than on the meaning of the decision, and the undecidable comes to be accepted as an infinite dimension going beyond the limits of our acts, which makes the contingency and the grandeur of human responsibility.

  5. Automated critiquing of medical decision trees.

    PubMed

    Wellman, M P; Eckman, M H; Fleming, C; Marshall, S L; Sonnenberg, F A; Pauker, S G

    1989-01-01

    The authors developed a decision tree-critiquing program (called BUNYAN) that identifies potential modeling errors in medical decision trees. The program's critiques are based on the structure of a decision problem, obtained from an abstract description specifying only the basic semantic categories of the model's components. A taxonomy of node and branch types supplies the primitive building blocks for representing decision trees. Bunyan detects potential problems in a model by matching general pattern expressions that refer to these primitives. A small set of general principles justifies critiquing rules that detect four categories of potential structural problems: impossible strategies, dominated strategies, unaccountable violations of symmetry, and omission of apparently reasonable strategies. Although critiquing based on structure alone has clear limitations, principled structural analysis constitutes the core of a methodology for reasoning about decision models.

  6. Stochastic dominance and medical decision making.

    PubMed

    Leshno, Moshe; Levy, Haim

    2004-08-01

    Stochastic Dominance (SD) criteria are decision making tools which allow us to choose among various strategies with only partial information on the decision makers' preferences. The notion of Stochastic Dominance has been extensively employed and developed in the area of economics, finance, agriculture, statistics, marketing and operation research since the late 1960s. For example, it may tell us which of two medical treatments with uncertain outcomes is preferred in the absence of full information on the patients' preferences. This paper presents a short review of the SD paradigm and demonstrates how the SD criteria may be employed in medical decision making, using the case of small abdominal aortic aneurysms as an illustration. Thus, for instance by assuming risk aversion one can employ second-degree stochastic dominance to divide the set of all possible treatments into the efficient set, from which the decision makers should always choose, and the inefficient (inferior) set. By employing Prospect Stochastic Dominance (PSD) a similar division can be conducted corresponding to all S-shaped utility functions.

  7. Liberal rationalism and medical decision-making.

    PubMed

    Savulescu, Julian

    1997-04-01

    I contrast Robert Veatch's recent liberal vision of medical decision-making with a more rationalist liberal model. According to Veatch, physicians are biased in their determination of what is in their patient's overall interests in favour of their medical interests. Because of the extent of this bias, we should abandon the practice of physicians offering what they guess to be the best treatment option. Patients should buddy up with physicians who share the same values -- 'deep value pairing'. The goal of choice is maximal promotion of patient values. I argue that if subjectivism about value and valuing is true, this move is plausible. However, if objectivism about value is true -- that there really are states which are good for people regardless of whether they desire to be in them -- then we should accept a more rationalist liberal alternative. According to this alternative, what is required to decide which course is best is rational dialogue between physicians and patients, both about the patient's circumstances and her values, and not the seeking out of people, physicians or others, who share the same values. Rational discussion requires that physicians be reasonable and empathic. I describe one possible account of a reasonable physician.

  8. Extracting clinical information to support medical decision based on standards.

    PubMed

    Gomoi, Valentin; Vida, Mihaela; Stoicu-Tivadar, Lăcrămioara; Stoicu-Tivadar, Vasile

    2011-01-01

    The paper presents a method connecting medical databases to a medical decision system, and describes a service created to extract the necessary information that is transferred based on standards. The medical decision can be improved based on many inputs from different medical locations. The developed solution is described for a concrete case concerning the management for chronic pelvic pain, based on the information retrieved from diverse healthcare databases.

  9. Medical Specialty Decision Model: Utilizing Social Cognitive Career Theory

    ERIC Educational Resources Information Center

    Gibson, Denise D.; Borges, Nicole J.

    2004-01-01

    Objectives: The purpose of this study was to develop a working model to explain medical specialty decision-making. Using Social Cognitive Career Theory, we examined personality, medical specialty preferences, job satisfaction, and expectations about specialty choice to create a conceptual framework to guide specialty choice decision-making.…

  10. Portrayal of medical decision making around medical interventions life-saving encounters on three medical television shows

    PubMed Central

    Schwei, Rebecca J; Jacobs, Elizabeth A.; Wingert, Katherine; Montague, Enid

    2015-01-01

    Introduction Previous literature has shown that patients obtain information about the medical system from television shows. Additionally, shared decision making is regularly cited as the ideal way to make decisions during a medical encounter. Little information exists surrounding the characteristics of medical decision-making, such as who makes the decision, on medical television shows. We evaluate the characteristics of medical decisions in lifesaving encounters on medical television shows and evaluate if these characteristics were different on staged and reality television shows. Methods We coded type of medical intervention, patient’s ability to participate in decision, presence of patient advocate during decision, final decision maker, decision to use intervention, and controversy surrounding decision on three television shows. Frequencies by show were calculated and differences across the three television shows and between staged (ER) and reality (BostonMed and Hopkins) television shows were assessed with chi-square tests. Results The final data set included 37 episodes, 137 patients and 593 interventions. On ER, providers were significantly more likely to make the decision about the medical intervention without informing the patient when a patient was capable of making a decision compared to BostonMed or Hopkins (p<0.001). Across all shows, 99% of all decisions on whether to use a medical intervention resulted in the use of that intervention. Discussion Medical interventions are widely portrayed in the medical television shows we analyzed. It is possible that what patients see on television influences their expectations surrounding the decision making process and the use of medical interventions in everyday healthcare encounters. PMID:26478829

  11. Heuristics: foundations for a novel approach to medical decision making.

    PubMed

    Bodemer, Nicolai; Hanoch, Yaniv; Katsikopoulos, Konstantinos V

    2015-03-01

    Medical decision-making is a complex process that often takes place during uncertainty, that is, when knowledge, time, and resources are limited. How can we ensure good decisions? We present research on heuristics-simple rules of thumb-and discuss how medical decision-making can benefit from these tools. We challenge the common view that heuristics are only second-best solutions by showing that they can be more accurate, faster, and easier to apply in comparison to more complex strategies. Using the example of fast-and-frugal decision trees, we illustrate how heuristics can be studied and implemented in the medical context. Finally, we suggest how a heuristic-friendly culture supports the study and application of heuristics as complementary strategies to existing decision rules.

  12. Exploring Factors Affecting Emergency Medical Services Staffs' Decision about Transporting Medical Patients to Medical Facilities

    PubMed Central

    Seyedin, Hesam; Jamshidi-Orak, Roohangiz

    2014-01-01

    Transfer of patients in medical emergency situations is one of the most important missions of emergency medical service (EMS) staffs. So this study was performed to explore affecting factors in EMS staffs' decision during transporting of patients in medical situations to medical facilities. The participants in this qualitative study consisted of 18 EMS staffs working in prehospital care facilities in Tehran, Iran. Data were gathered through semistructured interviews. The data were analyzed using a content analysis approach. The data analysis revealed the following theme: “degree of perceived risk in EMS staffs and their patients.” This theme consisted of two main categories: (1) patient's condition' and (2) the context of the EMS mission'. The patent's condition category emerged from “physical health statuses,” “socioeconomic statuses,” and “cultural background” subcategories. The context of the EMS mission also emerged from two subcategories of “characteristics of the mission” and EMS staffs characteristics'. EMS system managers can consider adequate technical, informational, financial, educational, and emotional supports to facilitate the decision making of their staffs. Also, development of an effective and user-friendly checklist and scoring system was recommended for quick and easy recognition of patients' needs for transportation in a prehospital situation. PMID:24891953

  13. Exploring Factors Affecting Emergency Medical Services Staffs' Decision about Transporting Medical Patients to Medical Facilities.

    PubMed

    Ebrahimian, Abbasali; Seyedin, Hesam; Jamshidi-Orak, Roohangiz; Masoumi, Gholamreza

    2014-01-01

    Transfer of patients in medical emergency situations is one of the most important missions of emergency medical service (EMS) staffs. So this study was performed to explore affecting factors in EMS staffs' decision during transporting of patients in medical situations to medical facilities. The participants in this qualitative study consisted of 18 EMS staffs working in prehospital care facilities in Tehran, Iran. Data were gathered through semistructured interviews. The data were analyzed using a content analysis approach. The data analysis revealed the following theme: "degree of perceived risk in EMS staffs and their patients." This theme consisted of two main categories: (1) patient's condition' and (2) the context of the EMS mission'. The patent's condition category emerged from "physical health statuses," "socioeconomic statuses," and "cultural background" subcategories. The context of the EMS mission also emerged from two subcategories of "characteristics of the mission" and EMS staffs characteristics'. EMS system managers can consider adequate technical, informational, financial, educational, and emotional supports to facilitate the decision making of their staffs. Also, development of an effective and user-friendly checklist and scoring system was recommended for quick and easy recognition of patients' needs for transportation in a prehospital situation.

  14. Evaluation of fuzzy relation method for medical decision support.

    PubMed

    Wagholikar, Kavishwar; Mangrulkar, Sanjeev; Deshpande, Ashok; Sundararajan, Vijayraghavan

    2012-02-01

    The potential of computer based tools to assist physicians in medical decision making, was envisaged five decades ago. Apart from factors like usability, integration with work-flow and natural language processing, lack of decision accuracy of the tools has hindered their utility. Hence, research to develop accurate algorithms for medical decision support tools, is required. Pioneering research in last two decades, has demonstrated the utility of fuzzy set theory for medical domain. Recently, Wagholikar and Deshpande proposed a fuzzy relation based method (FR) for medical diagnosis. In their case studies for heart and infectious diseases, the FR method was found to be better than naive bayes (NB). However, the datasets in their studies were small and included only categorical symptoms. Hence, more evaluative studies are required for drawing general conclusions. In the present paper, we compare the classification performance of FR with NB, for a variety of medical datasets. Our results indicate that the FR method is useful for classification problems in the medical domain, and that FR is marginally better than NB. However, the performance of FR is significantly better for datasets having high proportion of unknown attribute values. Such datasets occur in problems involving linguistic information, where FR can be particularly useful. Our empirical study will benefit medical researchers in the choice of algorithms for decision support tools.

  15. Navigating the Decision Space: Shared Medical Decision Making as Distributed Cognition.

    PubMed

    Lippa, Katherine D; Feufel, Markus A; Robinson, F Eric; Shalin, Valerie L

    2016-08-23

    Despite increasing prominence, little is known about the cognitive processes underlying shared decision making. To investigate these processes, we conceptualize shared decision making as a form of distributed cognition. We introduce a Decision Space Model to identify physical and social influences on decision making. Using field observations and interviews, we demonstrate that patients and physicians in both acute and chronic care consider these influences when identifying the need for a decision, searching for decision parameters, making actionable decisions Based on the distribution of access to information and actions, we then identify four related patterns: physician dominated; physician-defined, patient-made; patient-defined, physician-made; and patient-dominated decisions. Results suggests that (a) decision making is necessarily distributed between physicians and patients, (b) differential access to information and action over time requires participants to transform a distributed task into a shared decision, and (c) adverse outcomes may result from failures to integrate physician and patient reasoning. Our analysis unifies disparate findings in the medical decision-making literature and has implications for improving care and medical training.

  16. Resuscitation decision making by New Mexico emergency medical technicians.

    PubMed

    Johnson, D R; Maggiore, W A

    1993-03-01

    The extent to which Emergency Medical Service personnel are placed in situations in which difficult cardiopulmonary resuscitation decisions must be made has been poorly explored. Further, it is not known whether this kind of decision making is troubling to emergency medical technicians. Although it is likely that emergency medical service systems handle withholding cardiopulmonary resuscitation in a variety of ways, the authors chose to examine a cross-section of New Mexico emergency medical technicians. Using a survey instrument, emergency medical technicians of all training levels, representing several emergency medical service systems around the state were asked how many times in their career they had been in a situation in which cardiopulmonary resuscitation had been withheld without a direct physician order. Of 310 individuals surveyed, 211 (66.8%) responded that this had occurred at least once. When asked whether they had been troubled by one of these situations, 86 of 211 (41%) individuals responded "yes." When a variety of demographic factors were evaluated, only training to the paramedic level was identified as being an independent predictor of those who were troubled (P = .019). Emergency medical technician training, protocols, and do not resuscitate programs may need to be expanded to give further guidance to prehospital personnel when making difficult resuscitation decisions.

  17. Medical decision support systems and therapeutics: The role of autopilots.

    PubMed

    Woosley, R L; Whyte, J; Mohamadi, A; Romero, K

    2016-02-01

    For decades, medical practice has increasingly relied on prescription medicines to treat, cure, or prevent illness but their net benefit is reduced by prescribing errors that result in adverse drug reactions (ADRs) and tens of thousands of deaths each year. Optimal prescribing requires effective management of massive amounts of data. Clinical decision support systems (CDSS) can help manage information and support optimal therapeutic decisions before errors are made by operating as the prescribers' "autopilot."

  18. The Integrated Medical Model: A Risk Assessment and Decision Support Tool for Space Flight Medical Systems

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric; Minard, Charles; Saile, Lynn; deCarvalho, Mary Freire; Myers, Jerry; Walton, Marlei; Butler, Douglas; Iyengar, Sriram; Johnson-Throop, Kathy; Baumann, David

    2009-01-01

    The Integrated Medical Model (IMM) is a decision support tool that is useful to mission planners and medical system designers in assessing risks and designing medical systems for space flight missions. The IMM provides an evidence based approach for optimizing medical resources and minimizing risks within space flight operational constraints. The mathematical relationships among mission and crew profiles, medical condition incidence data, in-flight medical resources, potential crew functional impairments, and clinical end-states are established to determine probable mission outcomes. Stochastic computational methods are used to forecast probability distributions of crew health and medical resource utilization, as well as estimates of medical evacuation and loss of crew life. The IMM has been used in support of the International Space Station (ISS) medical kit redesign, the medical component of the ISS Probabilistic Risk Assessment, and the development of the Constellation Medical Conditions List. The IMM also will be used to refine medical requirements for the Constellation program. The IMM outputs for ISS and Constellation design reference missions will be presented to demonstrate the potential of the IMM in assessing risks, planning missions, and designing medical systems. The implementation of the IMM verification and validation plan will be reviewed. Additional planned capabilities of the IMM, including optimization techniques and the inclusion of a mission timeline, will be discussed. Given the space flight constraints of mass, volume, and crew medical training, the IMM is a valuable risk assessment and decision support tool for medical system design and mission planning.

  19. Patient decision making in the face of conflicting medication information

    PubMed Central

    Elstad, Emily; Carpenter, Delesha M.; Devellis, Robert F.

    2012-01-01

    When patients consult more than one source of information about their medications, they may encounter conflicting information. Although conflicting information has been associated with negative outcomes, including worse medication adherence, little is known about how patients make health decisions when they receive conflicting information. The objective of this study was to explore the decision making strategies that individuals with arthritis use when they receive conflicting medication information. Qualitative telephone interviews were conducted with 20 men and women with arthritis. Interview vignettes posed scenarios involving conflicting information from different sources (e.g., doctor, pharmacist, and relative), and respondents were asked how they would respond to the situation. Data analysis involved inductive coding to identify emergent themes and deductive contextualization to make meaning from the emergent themes. In response to conflicting medication information, patients used rules of thumb, trial and error, weighed benefits and risks, and sought more information, especially from a doctor. Patients relied heavily on trial and error when there was no conflicting information involved in the vignette. In contrast, patients used rules of thumb as a unique response to conflicting information. These findings increase our understanding of what patients do when they receive conflicting medication information. Given that patient exposure to conflicting information is likely to increase alongside the proliferation of medication information on the Internet, patients may benefit from assistance in identifying the most appropriate decision strategies for dealing with conflicting information, including information about best information sources. PMID:22943889

  20. General practitioners' decisions about discontinuation of medication: an explorative study.

    PubMed

    Nixon, Michael Simon; Vendelø, Morten Thanning

    2016-06-20

    Purpose - The purpose of this paper is to investigate how general practitioners' (GPs) decisions about discontinuation of medication are influenced by their institutional context. Design/methodology/approach - In total, 24 GPs were interviewed, three practices were observed and documents were collected. The Gioia methodology was used to analyse data, drawing on a theoretical framework that integrate the sensemaking perspective and institutional theory. Findings - Most GPs, who actively consider discontinuation, are reluctant to discontinue medication, because the safest course of action for GPs is to continue prescriptions, rather than discontinue them. The authors conclude that this is in part due to the ambiguity about the appropriateness of discontinuing medication, experienced by the GPs, and in part because the clinical guidelines do not encourage discontinuation of medication, as they offer GPs a weak frame for discontinuation. Three reasons for this are identified: the guidelines provide dominating triggers for prescribing, they provide weak priming for discontinuation as an option, and they underscore a cognitive constraint against discontinuation. Originality/value - The analysis offers new insights about decision making when discontinuing medication. It also offers one of the first examinations of how the institutional context embedding GPs influences their decisions about discontinuation. For policymakers interested in the discontinuation of medication, the findings suggest that de-stigmatising discontinuation on an institutional level may be beneficial, allowing GPs to better justify discontinuation in light of the ambiguity they experience.

  1. Dispositional optimism, self-framing and medical decision-making.

    PubMed

    Zhao, Xu; Huang, Chunlei; Li, Xuesong; Zhao, Xin; Peng, Jiaxi

    2015-03-01

    Self-framing is an important but underinvestigated area in risk communication and behavioural decision-making, especially in medical settings. The present study aimed to investigate the relationship among dispositional optimism, self-frame and decision-making. Participants (N = 500) responded to the Life Orientation Test-Revised and self-framing test of medical decision-making problem. The participants whose scores were higher than the middle value were regarded as highly optimistic individuals. The rest were regarded as low optimistic individuals. The results showed that compared to the high dispositional optimism group, participants from the low dispositional optimism group showed a greater tendency to use negative vocabulary to construct their self-frame, and tended to choose the radiation therapy with high treatment survival rate, but low 5-year survival rate. Based on the current findings, it can be concluded that self-framing effect still exists in medical situation and individual differences in dispositional optimism can influence the processing of information in a framed decision task, as well as risky decision-making.

  2. How Numeracy Influences Risk Comprehension and Medical Decision Making

    PubMed Central

    Reyna, Valerie F.; Nelson, Wendy L.; Han, Paul K.; Dieckmann, Nathan F.

    2009-01-01

    We review the growing literature on health numeracy, the ability to understand and use numerical information, and its relation to cognition, health behaviors, and medical outcomes. Despite the surfeit of health information from commercial and noncommercial sources, national and international surveys show that many people lack basic numerical skills that are essential to maintain their health and make informed medical decisions. Low numeracy distorts perceptions of risks and benefits of screening, reduces medication compliance, impedes access to treatments, impairs risk communication (limiting prevention efforts among the most vulnerable), and, based on the scant research conducted on outcomes, appears to adversely affect medical outcomes. Low numeracy is also associated with greater susceptibility to extraneous factors (i.e., factors that do not change the objective numerical information). That is, low numeracy increases susceptibility to effects of mood or how information is presented (e.g., as frequencies vs. percentages) and to biases in judgment and decision making (e.g., framing and ratio bias effects). Much of this research is not grounded in empirically supported theories of numeracy or mathematical cognition, which are crucial for designing evidence-based policies and interventions that are effective in reducing risk and improving medical decision making. To address this gap, we outline four theoretical approaches (psychophysical, computational, standard dual-process, and fuzzy trace theory), review their implications for numeracy, and point to avenues for future research. PMID:19883143

  3. Medical and nursing clinical decision making: a comparative epistemological analysis.

    PubMed

    Rashotte, Judy; Carnevale, F A

    2004-07-01

    The aim of this article is to explore the complex forms of knowledge involved in diagnostic and interventional decision making by comparing the processes in medicine and nursing, including nurse practitioners. Many authors assert that the practice of clinical decision making involves the application of theoretical knowledge (acquired in the classroom and textbooks) as well as research evidence, upon concrete particular cases. This approach draws on various universal principles and algorithms to facilitate the task. On the other hand, others argue that this involves an intuitive form of judgement that is difficult to teach, one that is acquired principally through experience. In an exploration of these issues, this article consists of three sections. A clarification of terms commonly used when discussing decision making is provided in the first section. In the second section, an epistemological analysis of decision making is presented by examining several perspectives and comparing them for their use in the nursing and medical literature. Bunge's epistemological framework for decision making (based on scientific realism) is explored for its fit with the aims of medicine and nursing. The final section presents a discussion of knowledge utilization and decision making as it relates to the implications for the education and ongoing development of nurse practitioners. It is concluded that Donald Schön's conception of reflective practice best characterizes the skillful conduct of clinical decision making.

  4. Human-Computer Interaction with Medical Decisions Support Systems

    NASA Technical Reports Server (NTRS)

    Adolf, Jurine A.; Holden, Kritina L.

    1994-01-01

    Decision Support Systems (DSSs) have been available to medical diagnosticians for some time, yet their acceptance and use have not increased with advances in technology and availability of DSS tools. Medical DSSs will be necessary on future long duration space missions, because access to medical resources and personnel will be limited. Human-Computer Interaction (HCI) experts at NASA's Human Factors and Ergonomics Laboratory (HFEL) have been working toward understanding how humans use DSSs, with the goal of being able to identify and solve the problems associated with these systems. Work to date consists of identification of HCI research areas, development of a decision making model, and completion of two experiments dealing with 'anchoring'. Anchoring is a phenomenon in which the decision maker latches on to a starting point and does not make sufficient adjustments when new data are presented. HFEL personnel have replicated a well-known anchoring experiment and have investigated the effects of user level of knowledge. Future work includes further experimentation on level of knowledge, confidence in the source of information and sequential decision making.

  5. Virtual medical record implementation for enhancing clinical decision support.

    PubMed

    Gomoi, Valentin-Sergiu; Dragu, Daniel; Stoicu-Tivadar, Vasile

    2012-01-01

    Development of clinical decision support systems (CDS) is a process which highly depends on the local databases, this resulting in low interoperability. To increase the interoperability of CDS a standard representation of clinical information is needed. The paper suggests a CDS architecture which integrates several HL7 standards and the new vMR (virtual Medical Record). The clinical information for the CDS systems (the vMR) is represented with Topic Maps technology. Beside the implementation of the vMR, the architecture integrates: a Data Manager, an interface, a decision making system (based on Egadss), a retrieving data module. Conclusions are issued.

  6. The limitations of decision trees and automatic learning in real world medical decision making.

    PubMed

    Kokol, P; Zorman, M; Stiglic, M M; Malèiae, I

    1998-01-01

    The decision tree approach is one of the most common approaches in automatic learning and decision making. It is popular for its simplicity in constructing, efficient use in decision making and for simple representation, which is easily understood by humans. The automatic learning of decision trees and their use usually show very good results in various "theoretical" environments. The training sets are usually large enough for learning algorithm to construct a hypothesis consistent with the underlying concept. But in real life it is often impossible to find the desired number of training objects for various reasons. The lack of possibilities to measure attribute values, high cost and complexity of such measurements, unavailability of all attributes at the same time are the typical representatives. There are different ways to deal with some of these problems, but in a delicate field of medical decision making, we cannot allow ourselves to make any inaccurate decisions. We have measured the values of 24 attributes before and after the 82 operations of children in age between 2 and 10 years. The aim was to find the dependencies between attribute values and a child's predisposition to acidemia--the decrease of blood's pH. Our main interest was in discovering predisposition to two forms of acidosis, the metabolic acidosis and the respiratory acidosis, which can both have serious effects on child's health. We decided to construct different decision trees from a set of training objects, which was complete (there were no missing attribute values), but on the other hand not large enough to avoid the effect of overfitting. A common approach to evaluation of a decision tree is the use of a test set. In our case we decided that instead of using a test set, we ask medical experts to take a closer look at the generated trees. They examined and evaluated the decision trees branch by branch. Their comments on the generated trees can be found in this paper. The comments show, that

  7. Racial-ethnic biases, time pressure, and medical decisions.

    PubMed

    Stepanikova, Irena

    2012-09-01

    This study examined two types of potential sources of racial-ethnic disparities in medical care: implicit biases and time pressure. Eighty-one family physicians and general internists responded to a case vignette describing a patient with chest pain. Time pressure was manipulated experimentally. Under high time pressure, but not under low time pressure, implicit biases regarding blacks and Hispanics led to a less serious diagnosis. In addition, implicit biases regarding blacks led to a lower likelihood of a referral to specialist when physicians were under high time pressure. The results suggest that when physicians face stress, their implicit biases may shape medical decisions in ways that disadvantage minority patients.

  8. MIDAS intelligent platform for medical services, support for decision optimization in virtual medical communities.

    PubMed

    Arotăriţei, D; Toma, C M; Turnea, M; Toma, Vasilica

    2008-01-01

    The paper describes the implementation of a open multifunctional platform--MIDAS--for heterogeneous medical data management--support for optimization of clinical decision in virtual medical communities. The objectives of this intelligent environment are: diagnostic easier by access to heterogeneous medical data, a virtual support for medical personal in order to reduce medical errors, fast access to resources for education and improvement of medical education for physicians and students. The structure of the platform is based on a core module and a number of dedicated modules that give an important advantage as re-configurable platform depending on necessities. The core module tries to be as general is possible in order to be used in the future as core model in a platform focused on dentistry cases.

  9. A study to enhance medical students’ professional decision-making, using teaching interventions on common medications

    PubMed Central

    Wilcock, Jane; Strivens, Janet

    2015-01-01

    Aim To create sustained improvements in medical students’ critical thinking skills through short teaching interventions in pharmacology. Method The ability to make professional decisions was assessed by providing year-4 medical students at a UK medical school with a novel medical scenario (antenatal pertussis vaccination). Forty-seven students in the 2012 cohort acted as a pretest group, answering a questionnaire on this novel scenario. To improve professional decision-making skills, 48 students from the 2013 cohort were introduced to three commonly used medications, through tutor-led 40-min teaching interventions, among six small groups using a structured presentation of evidence-based medicine and ethical considerations. Student members then volunteered to peer-teach on a further three medications. After a gap of 8 weeks, this cohort (post-test group) was assessed for professional decision-making skills using the pretest questionnaire, and differences in the 2-year groups analysed. Results Students enjoyed presenting on medications to their peers but had difficulty interpreting studies and discussing ethical dimensions; this was improved by contextualising information via patient scenarios. After 8 weeks, most students did not show enhanced clinical curiosity, a desire to understand evidence, or ethical questioning when presented with a novel medical scenario compared to the previous year group who had not had the intervention. Students expressed a high degree of trust in guidelines and expert tutors and felt that responsibility for their own actions lay with these bodies. Conclusion Short teaching interventions in pharmacology did not lead to sustained improvements in their critical thinking skills in enhancing professional practice. It appears that students require earlier and more frequent exposure to these skills in their medical training. PMID:26051556

  10. Decision support in medical practice: a physician's perspective

    NASA Astrophysics Data System (ADS)

    Shieh, Yao-Yang; Roberson, Glenn H.

    1998-03-01

    A physician's decision support system consists of three components: (1) a comprehensive patient record and medical knowledge database, (2) information infrastructure for data storage, transfer, and (3) an analytical inference engine, accompanied by business operation database. Medical knowledge database provides the guideline for the selection of powerful clinical features or tests to be observed so that an accurate diagnosis as well as effective treatment can be quickly reached. With a tremendous amount of information stored in multiple data centers, it takes an effective information infrastructure to provide streamlined flow of information to the physician in a timely fashion. A real-time analytical inference engine mimics the physician's reasoning process. However due to incomplete, imperfect data and medical knowledge, a realistic output from this engine will be a list of options with associated confidence level, expected risk, so that the physician can make a well-informed final decision. Physicians are challenged to pursue the objective of ensuring an acceptable quality of care in an economically restrained environment. Therefore, business operation data have to be factored into the calculation of overall loss. Follow-up of diagnosis and treatment provides retrospective assessment of the accuracy and effectiveness of the existing inference engine.

  11. Medical decision making and the Human Rights Act 1998.

    PubMed

    Loughrey, J

    2001-01-01

    At present in the UK, when there is conflict of opinion between relatives and health care professionals regarding the treatment of incompetent patients, the courts generally support the latter over the former. This article examines the potential impact of the Human Rights Act 1998, which incorporates the European Convention on Human Rights into UK law, on this position. The possibility of challenges by relatives to disputed decisions on the grounds of Articles 2,3,8 and 14 is examined in the light of relevant Convention jurisprudence. It concludes that the Act will not necessarily result in relatives' views taking priority over doctors', given that the domestic test of the patient's best interests may not infringe the Convention. However, more account will have to be taken of relatives' views given the requirement for the courts to adopt a rights based analysis and to take a more pro-active role in scrutinising medical decision making.

  12. Decision support environment for medical product safety surveillance.

    PubMed

    Botsis, Taxiarchis; Jankosky, Christopher; Arya, Deepa; Kreimeyer, Kory; Foster, Matthew; Pandey, Abhishek; Wang, Wei; Zhang, Guangfan; Forshee, Richard; Goud, Ravi; Menschik, David; Walderhaug, Mark; Woo, Emily Jane; Scott, John

    2016-12-01

    We have developed a Decision Support Environment (DSE) for medical experts at the US Food and Drug Administration (FDA). The DSE contains two integrated systems: The Event-based Text-mining of Health Electronic Records (ETHER) and the Pattern-based and Advanced Network Analyzer for Clinical Evaluation and Assessment (PANACEA). These systems assist medical experts in reviewing reports submitted to the Vaccine Adverse Event Reporting System (VAERS) and the FDA Adverse Event Reporting System (FAERS). In this manuscript, we describe the DSE architecture and key functionalities, and examine its potential contributions to the signal management process by focusing on four use cases: the identification of missing cases from a case series, the identification of duplicate case reports, retrieving cases for a case series analysis, and community detection for signal identification and characterization.

  13. Evaluation of RxNorm for Medication Clinical Decision Support

    PubMed Central

    Freimuth, Robert R.; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G.

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS. PMID:25954360

  14. Evaluation of RxNorm for Medication Clinical Decision Support.

    PubMed

    Freimuth, Robert R; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS.

  15. Medical decision support: experience with implementing the Arden Syntax at the Columbia-Presbyterian Medical Center.

    PubMed Central

    Jenders, R. A.; Hripcsak, G.; Sideli, R. V.; DuMouchel, W.; Zhang, H.; Cimino, J. J.; Johnson, S. B.; Sherman, E. H.; Clayton, P. D.

    1995-01-01

    We began implementation of a medical decision support system (MDSS) at the Columbia-Presbyterian Medical Center (CPMC) using the Arden Syntax in 1992. The Clinical Event Monitor which executes the Medical Logic Modules (MLMs) runs on a mainframe computer. Data are stored in a relational database and accessed via PL/I programs known as Data Access Modules (DAMs). Currently we have 18 clinical, 12 research and 10 administrative MLMs. On average, the clinical MLMs generate 50357 simple interpretations of laboratory data and 1080 alerts each month. The number of alerts actually read varies by subject of the MLM from 32.4% to 73.5%. Most simple interpretations are not read at all. A significant problem of MLMs is maintenance, and changes in laboratory testing and message output can impair MLM execution significantly. We are now using relational database technology and coded MLM output to study the process outcome of our MDSS. PMID:8563259

  16. DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS

    PubMed Central

    CHEN, JONATHAN H; GOLDSTEIN, MARY K; ASCH, STEVEN M; ALTMAN, RUSS B

    2015-01-01

    Automatically data-mining clinical practice patterns from electronic health records (EHR) can enable prediction of future practices as a form of clinical decision support (CDS). Our objective is to determine the stability of learned clinical practice patterns over time and what implication this has when using varying longitudinal historical data sources towards predicting future decisions. We trained an association rule engine for clinical orders (e.g., labs, imaging, medications) using structured inpatient data from a tertiary academic hospital. Comparing top order associations per admission diagnosis from training data in 2009 vs. 2012, we find practice variability from unstable diagnoses with rank biased overlap (RBO)<0.35 (e.g., pneumonia) to stable admissions for planned procedures (e.g., chemotherapy, surgery) with comparatively high RBO>0.6. Predicting admission orders for future (2013) patients with associations trained on recent (2012) vs. older (2009) data improved accuracy evaluated by area under the receiver operating characteristic curve (ROC-AUC) 0.89 to 0.92, precision at ten (positive predictive value of the top ten predictions against actual orders) 30% to 37%, and weighted recall (sensitivity) at ten 2.4% to 13%, (P<10−10). Training with more longitudinal data (2009-2012) was no better than only using recent (2012) data. Secular trends in practice patterns likely explain why smaller but more recent training data is more accurate at predicting future practices. PMID:26776186

  17. [Medical end-of-life decisions and assisted suicide].

    PubMed

    Bosshard, Georg

    2008-07-01

    Medical end-of-life decisions that potentially shorten life (Sterbehilfe) are normally divided into four categories: Passive Sterbehilfe refers to withholding or withdrawing life-prolonging measures, indirect Sterbehilfe refers to the use of agents such as opioids or sedatives to alleviate symptoms of a terminally ill patient, assisted suicide (Suizidbeihilfe or Beihilfe zum Suizid) refers to prescribing and/or supplying a lethal drug in order to help someone to end his own life, and active euthanasia - which is illegal in any circumstances - means a doctor actively ending a patients life. In passive and indirect euthanasia, the will of a competent patient, or the presumed will of an incompetent patient respectively, is crucial. Assisted suicide is not illegal according to the Swiss Penal Code as long as there are no motives of self-interest of the individual assisting, and the individual assisted has decisional capacity. However, for doctors participating in assisted suicide, specific requirements of medical due care have to be met. What this means in the context of assisted suicide has recently been elaborated by the Swiss Federal Court of Justice.

  18. 78 FR 28631 - Experian, Experian Healthcare (Medical Present Value (MPV)-Credit Services and Decision Analytics...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-15

    ... Employment and Training Administration Experian, Experian Healthcare (Medical Present Value (MPV)-- Credit... 4, 2013, applicable to workers of Experian, Experian Healthcare, (medical Present Value (MPV... Present Value (MPV)--Credit Services and Decision Analytics), Plymouth, Massachusetts...

  19. The professional medical ethics model of decision making under conditions of clinical uncertainty.

    PubMed

    McCullough, Laurence B

    2013-02-01

    The professional medical ethics model of decision making may be applied to decisions clinicians and patients make under the conditions of clinical uncertainty that exist when evidence is low or very low. This model uses the ethical concepts of medicine as a profession, the professional virtues of integrity and candor and the patient's virtue of prudence, the moral management of medical uncertainty, and trial of intervention. These features combine to justifiably constrain clinicians' and patients' autonomy with the goal of preventing nondeliberative decisions of patients and clinicians. To prevent biased recommendations by the clinician that promote such nondeliberative decisions, medically reasonable alternatives supported by low or very low evidence should be offered but not recommended. The professional medical ethics model of decision making aims to improve the quality of decisions by reducing the unacceptable variation that can result from nondeliberative decision making by patients and clinicians when evidence is low or very low.

  20. Exploration Clinical Decision Support System: Medical Data Architecture

    NASA Technical Reports Server (NTRS)

    Lindsey, Tony; Shetye, Sandeep; Shaw, Tianna (Editor)

    2016-01-01

    The Exploration Clinical Decision Support (ECDS) System project is intended to enhance the Exploration Medical Capability (ExMC) Element for extended duration, deep-space mission planning in HRP. A major development guideline is the Risk of "Adverse Health Outcomes & Decrements in Performance due to Limitations of In-flight Medical Conditions". ECDS attempts to mitigate that Risk by providing crew-specific health information, actionable insight, crew guidance and advice based on computational algorithmic analysis. The availability of inflight health diagnostic computational methods has been identified as an essential capability for human exploration missions. Inflight electronic health data sources are often heterogeneous, and thus may be isolated or not examined as an aggregate whole. The ECDS System objective provides both a data architecture that collects and manages disparate health data, and an active knowledge system that analyzes health evidence to deliver case-specific advice. A single, cohesive space-ready decision support capability that considers all exploration clinical measurements is not commercially available at present. Hence, this Task is a newly coordinated development effort by which ECDS and its supporting data infrastructure will demonstrate the feasibility of intelligent data mining and predictive modeling as a biomedical diagnostic support mechanism on manned exploration missions. The initial step towards ground and flight demonstrations has been the research and development of both image and clinical text-based computer-aided patient diagnosis. Human anatomical images displaying abnormal/pathological features have been annotated using controlled terminology templates, marked-up, and then stored in compliance with the AIM standard. These images have been filtered and disease characterized based on machine learning of semantic and quantitative feature vectors. The next phase will evaluate disease treatment response via quantitative linear

  1. Medical factors influencing decision making regarding radiation therapy for breast cancer

    PubMed Central

    Dilaveri, Christina A; Sandhu, Nicole P; Neal, Lonzetta; Neben-Wittich, Michelle A; Hieken, Tina J; Mac Bride, Maire Brid; Wahner-Roedler, Dietlind L; Ghosh, Karthik

    2014-01-01

    Radiation therapy is an important and effective adjuvant therapy for breast cancer. Numerous health conditions may affect medical decisions regarding tolerance of breast radiation therapy. These factors must be considered during the decision-making process after breast-conserving surgery or mastectomy for breast cancer. Here, we review currently available evidence focusing on medical conditions that may affect the patient–provider decision-making process regarding the use of radiation therapy. PMID:25429241

  2. Experience and Medical Decision-Making in Outdoor Leaders

    ERIC Educational Resources Information Center

    Galloway, Shayne

    2007-01-01

    Outdoor leaders function in naturalistic decision-making contexts and may be influenced by personal, social, and environmental factors in making critical decisions in the field. The experience level of the outdoor instructor is posited as a critical variable in the development of his/her decision-making and overall judgment. This research measures…

  3. Foundations of medical decision-making for older adults with cardiovascular disease.

    PubMed

    Lipman, Hannah I; Kalra, Ankur; Kirkpatrick, James N

    2015-07-01

    In order to help older adults with cardiovascular disease navigate complex decisions, clinicians must know tenets of medical ethics and have good communication skills. The elements of decision making capacity and informed consent are reviewed, using relevant clinical examples to illustrate the basic concepts. The shared decision making model, by which clinician and patient work together to determine the plan of care, is described. Useful communication techniques to implement shared decision making are suggested.

  4. The Integrated Medical Model - A Risk Assessment and Decision Support Tool for Human Space Flight Missions

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric; Minard, Charles G.; Saile, Lynn; FreiredeCarvalho, Mary; Myers, Jerry; Walton, Marlei; Butler, Douglas; Lopez, Vilma

    2010-01-01

    The Integrated Medical Model (IMM) is a decision support tool that is useful to space flight mission planners and medical system designers in assessing risks and optimizing medical systems. The IMM employs an evidence-based, probabilistic risk assessment (PRA) approach within the operational constraints of space flight.

  5. Not a Humbug: the evolution of patient-centred medical decision-making.

    PubMed

    Trump, Benjamin D; Linkov, Faina; Edwards, Robert P; Linkov, Igor

    2015-12-01

    This 'Christmas Issue'-type paper uses the framework of 'A Christmas Carol' to tell about the evolution of decision-making in evidence-based medicine (EBM). The Ghost of the Past represents paternalistic medicine, the Ghost of the Present symbolises EBM, while the Ghost of the Future serves as a patient-centred system where research data and tools of decision science are jointly used to make optimal medical decisions for individual patients. We argue that this shift towards a patient-centred approach to EBM and medical care is the next step in the evolution of medical decision-making, which would help to empower patients with the capability to make educated decisions throughout the course of their medical treatment.

  6. Military Medical Decision Support for Homeland Defense During Emergency

    DTIC Science & Technology

    2004-12-01

    Integrated Decision Support ( MERMAIDS ) developed for training of emergency response teams using heterogeneous resources under a unified command and control...The MERMAIDS has been designed to contain a decision-centric interface, which is not only useful for emergency information management, but has...decision models to support response planning during emergency conditions. An expert heuristic evaluation of the MERMAIDS is encouraging. The expert

  7. Justification of automated decision-making: medical explanations as medical arguments.

    PubMed Central

    Shankar, R. D.; Musen, M. A.

    1999-01-01

    People use arguments to justify their claims. Computer systems use explanations to justify their conclusions. We are developing WOZ, an explanation framework that justifies the conclusions of a clinical decision-support system. WOZ's central component is the explanation strategy that decides what information justifies a claim. The strategy uses Toulmin's argument structure to define pieces of information and to orchestrate their presentation. WOZ uses explicit models that abstract the core aspects of the framework such as the explanation strategy. In this paper, we present the use of arguments, the modeling of explanations, and the explanation process used in WOZ. WOZ exploits the wealth of naturally occurring arguments, and thus can generate convincing medical explanations. Images Figure 5 PMID:10566388

  8. Individual Differences in Decision-Making and Confidence: Capturing Decision Tendencies in a Fictitious Medical Test

    ERIC Educational Resources Information Center

    Jackson, Simon A.; Kleitman, Sabina

    2014-01-01

    Decision-making is a complex process that is largely studied from an experimental perspective or in specific organizational contexts. As such, no generalizable framework exists with which to study decision-making from an individual differences perspective for predictive/selection purposes. By generalising a context-specific decision model proposed…

  9. Embodying medical expertise in decision support systems for health care management: techniques and benefits.

    PubMed

    Frank, M S

    1998-11-01

    Health care providers and payers are faced with ever-increasing pressures to lower costs, improve quality, and maximize profits. As medical information technology evolves, more medically related data are being collected, stored electronically within a data warehouse, and made available for decision support in the pursuit of lower costs and higher quality in health care. The article describes how medical expertise can be captured and integrated into decision support systems to improve awareness and predictability of disease and disease-associated financial risk within a population of patients, ultimately providing patient-centric and provider-centric opportunities to improve health and decrease costs. The concept of medical logic engineering is introduced.

  10. In search of tools to aid logical thinking and communicating about medical decision making.

    PubMed

    Hunink, M G

    2001-01-01

    To have real-time impact on medical decision making, decision analysts need a wide variety of tools to aid logical thinking and communication. Decision models provide a formal framework to integrate evidence and values, but they are commonly perceived as complex and difficult to understand by those unfamiliar with the methods, especially in the context of clinical decision making. The theory of constraints, introduced by Eliyahu Goldratt in the business world, provides a set of tools for logical thinking and communication that could potentially be useful in medical decision making. The author used the concept of a conflict resolution diagram to analyze the decision to perform carotid endarterectomy prior to coronary artery bypass grafting in a patient with both symptomatic coronary and asymptomatic carotid artery disease. The method enabled clinicians to visualize and analyze the issues, identify and discuss the underlying assumptions, search for the best available evidence, and use the evidence to make a well-founded decision. The method also facilitated communication among those involved in the care of the patient. Techniques from fields other than decision analysis can potentially expand the repertoire of tools available to support medical decision making and to facilitate communication in decision consults.

  11. Medical and pharmacy coverage decision making at the population level.

    PubMed

    Mohr, Penny E; Tunis, Sean R

    2014-06-01

    Medicare is one of the largest health care payers in the United States. As a result, its decisions about coverage have profound implications for patient access to care. In this commentary, the authors describe how Medicare used evidence on heterogeneity of treatment effects to make population-based decisions on health care coverage for implantable cardiac defibrillators. This case is discussed in the context of the rapidly expanding availability of comparative effectiveness research. While there is a potential tension between population-based and patient-centered decision making, the expanded diversity of populations and settings included in comparative effectiveness research can provide useful information for making more discerning and informed policy and clinical decisions.

  12. Fuzzy Cognitive Map scenario-based medical decision support systems for education.

    PubMed

    Georgopoulos, Voula C; Chouliara, Spyridoula; Stylios, Chrysostomos D

    2014-01-01

    Soft Computing (SC) techniques are based on exploiting human knowledge and experience and they are extremely useful to model any complex decision making procedure. Thus, they have a key role in the development of Medical Decision Support Systems (MDSS). The soft computing methodology of Fuzzy Cognitive Maps has successfully been used to represent human reasoning and to infer conclusions and decisions in a human-like way and thus, FCM-MDSSs have been developed. Such systems are able to assist in critical decision-making, support diagnosis procedures and consult medical professionals. Here a new methodology is introduced to expand the utilization of FCM-MDSS for learning and educational purposes using a scenario-based learning (SBL) approach. This is particularly important in medical education since it allows future medical professionals to safely explore extensive "what-if" scenarios in case studies and prepare for dealing with critical adverse events.

  13. The Integrated Medical Model: A Decision Support Tool for In-flight Crew Health Care

    NASA Technical Reports Server (NTRS)

    Butler, Doug

    2009-01-01

    This viewgraph presentation reviews the development of an Integrated Medical Model (IMM) decision support tool for in-flight crew health care safety. Clinical methods, resources, and case scenarios are also addressed.

  14. A Medical Decision Support System for the Space Station Health Maintenance Facility

    PubMed Central

    Ostler, David V.; Gardner, Reed M.; Logan, James S.

    1988-01-01

    NASA is developing a Health Maintenance Facility (HMF) to provide the equipment and supplies necessary to deliver medical care in the Space Station. An essential part of the Health Maintenance Facility is a computerized Medical Decision Support System (MDSS) that will enhance the ability of the medical officer (“paramedic” or “physician”) to maintain the crew's health, and to provide emergency medical care. The computer system has four major functions: 1) collect and integrate medical information into an electronic medical record from Space Station medical officers, HMF instrumentation, and exercise equipment; 2) provide an integrated medical record and medical reference information management system; 3) manage inventory for logistical support of supplies and secure pharmaceuticals; 4) supply audio and electronic mail communications between the medical officer and ground based flight surgeons. ImagesFigure 1

  15. Do Continuing Medical Education Articles Foster Shared Decision Making?

    ERIC Educational Resources Information Center

    Labrecque, Michel; Lafortune, Valerie; Lajeunesse, Judith; Lambert-Perrault, Anne-Marie; Manrique, Hermes; Blais, Johanne; Legare, France

    2010-01-01

    Introduction: Defined as reviews of clinical aspects of a specific health problem published in peer-reviewed and non-peer-reviewed medical journals, offered without charge, continuing medical education (CME) articles form a key strategy for translating knowledge into practice. This study assessed CME articles for mention of evidence-based…

  16. Targeting Continuing Medical Education on Decision Makers: Who Decides to Transfuse Blood?

    ERIC Educational Resources Information Center

    Goodnough, Lawrence T.; And Others

    1992-01-01

    Staff communication patterns were observed during 13 open-heart surgeries to identify the transfusion decision makers. It was determined that targeting decision makers for continuing medical education would improve the quality of transfusion practice and increase the efficiency of continuing education. (SK)

  17. Reliability analysis framework for computer-assisted medical decision systems

    SciTech Connect

    Habas, Piotr A.; Zurada, Jacek M.; Elmaghraby, Adel S.; Tourassi, Georgia D.

    2007-02-15

    We present a technique that enhances computer-assisted decision (CAD) systems with the ability to assess the reliability of each individual decision they make. Reliability assessment is achieved by measuring the accuracy of a CAD system with known cases similar to the one in question. The proposed technique analyzes the feature space neighborhood of the query case to dynamically select an input-dependent set of known cases relevant to the query. This set is used to assess the local (query-specific) accuracy of the CAD system. The estimated local accuracy is utilized as a reliability measure of the CAD response to the query case. The underlying hypothesis of the study is that CAD decisions with higher reliability are more accurate. The above hypothesis was tested using a mammographic database of 1337 regions of interest (ROIs) with biopsy-proven ground truth (681 with masses, 656 with normal parenchyma). Three types of decision models, (i) a back-propagation neural network (BPNN), (ii) a generalized regression neural network (GRNN), and (iii) a support vector machine (SVM), were developed to detect masses based on eight morphological features automatically extracted from each ROI. The performance of all decision models was evaluated using the Receiver Operating Characteristic (ROC) analysis. The study showed that the proposed reliability measure is a strong predictor of the CAD system's case-specific accuracy. Specifically, the ROC area index for CAD predictions with high reliability was significantly better than for those with low reliability values. This result was consistent across all decision models investigated in the study. The proposed case-specific reliability analysis technique could be used to alert the CAD user when an opinion that is unlikely to be reliable is offered. The technique can be easily deployed in the clinical environment because it is applicable with a wide range of classifiers regardless of their structure and it requires neither additional

  18. Doc, What Would You Do If You Were Me? On Self-Other Discrepancies in Medical Decision Making

    ERIC Educational Resources Information Center

    Garcia-Retamero, Rocio; Galesic, Mirta

    2012-01-01

    Doctors often make decisions for their patients and predict their patients' preferences and decisions to customize advice to their particular situation. We investigated how doctors make decisions about medical treatments for their patients and themselves and how they predict their patients' decisions. We also studied whether these decisions and…

  19. Sources of variability in uncertain medical decisions in the ICU: a process tracing study

    PubMed Central

    Kostopoulou, O; Wildman, M

    2004-01-01

    Background: Consistency of medical decision making (equity) is an important component of quality of care. When patients with chronic obstructive pulmonary disease (COPD) present with an exacerbation needing respiratory support they may die if it is not provided. However, if the disease has reached its terminal stage, ventilation will prolong the process of dying. The ventilation outcome is uncertain and there is evidence of variability when this decision is made, the sources of which are not well understood. Objectives: To identify sources of variability and propose ways of tackling them in order to promote equity in this type of medical decision. Methods: Six case histories were selected from hospital records of COPD patients. Fourteen senior doctors from seven hospitals in the West Midlands participated. A process tracing approach was used which consisted of (1) withholding case information until specifically requested by the doctors, (2) estimating survival during the decision making process, and (3) concurrent questioning regarding information interpretation and its impact on survival estimates and decisions. Results: The observed decision variability was attributed to doctors attaching importance to different information, gathering different information, and interpreting information differently. There were significant differences between doctors in the amount of information requested. Conclusions: Differences in information gathering and interpretation by clinicians can result in different decisions being made about the same patient. This variation may exist for other uncertain medical decisions and may be tackled by providing clinicians with prognostic models in the form of usable decision aids. PMID:15289630

  20. The Role of Medical Expenditure Risk in Portfolio Allocation Decisions.

    PubMed

    Ayyagari, Padmaja; He, Daifeng

    2016-10-09

    Economic theory suggests that medical spending risk affects the extent to which households are willing to accept financial risk, and consequently their investment portfolios. In this study, we focus on the elderly for whom medical spending represents a substantial risk. We exploit the exogenous reduction in prescription drug spending risk because of the introduction of Medicare Part D in the U.S. in 2006 to identify the causal effect of medical spending risk on portfolio choice. Consistent with theory, we find that Medicare-eligible persons increased risky investment after the introduction of prescription drug coverage, relative to a younger, ineligible cohort. Copyright © 2016 John Wiley & Sons, Ltd.

  1. Altruism and self interest in medical decision making.

    PubMed

    Rubin, Paul H

    2009-01-01

    We seem to prefer that medicine and medical care be provided through altruistic motives. Even the pharmaceutical industry justifies its behavior in terms of altruistic purposes. But economists have known since Adam Smith that self-interested behavior can create large and growing social benefits. This is true for medical care as well as for other goods. First, I consider specifically the case of pharmaceutical promotion, both to physicians and to consumers. I argue that such promotion is highly beneficial to patients and leads to health improvements. I consider some criticisms of promotion, and show that they are misguided. I then provide some evolutionary explanations for our erroneous beliefs about medical care.

  2. Patients’ Non-Medical Characteristics Contribute to Collective Medical Decision-Making at Multidisciplinary Oncological Team Meetings

    PubMed Central

    Restivo, Léa; Apostolidis, Thémis; Bouhnik, Anne-Déborah; Garciaz, Sylvain; Aurran, Thérèse; Julian-Reynier, Claire

    2016-01-01

    Background The contribution of patients’ non-medical characteristics to individual physicians’ decision-making has attracted considerable attention, but little information is available on this topic in the context of collective decision-making. Medical decision-making at cancer centres is currently carried out using a collective approach, at MultiDisciplinary Team (MDT) meetings. The aim of this study was to determine how patients’ non-medical characteristics are presented at MDT meetings and how this information may affect the team’s final medical decisions. Design Observations were conducted at a French Cancer Centre during MDT meetings at which non-standard cases involving some uncertainty were discussed from March to May 2014. Physicians’ verbal statements and predefined contextual parameters were collected with a non-participant observational approach. Non numerical data collected in the form of open notes were then coded for quantitative analysis. Univariate and multivariate statistical analyses were performed. Results In the final sample of patients’ records included and discussed (N = 290), non-medical characteristics were mentioned in 32.8% (n = 95) of the cases. These characteristics corresponded to demographics in 22.8% (n = 66) of the cases, psychological data in 11.7% (n = 34), and relational data in 6.2% (n = 18). The patient’s age and his/her “likeability” were the most frequently mentioned characteristics. In 17.9% of the cases discussed, the final decision was deferred: this outcome was positively associated with the patients’ non-medical characteristics and with uncertainty about the outcome of the therapeutic options available. Limitations The design of the study made it difficult to draw definite cause-and-effect conclusions. Conclusion The Social Representations approach suggests that patients’ non-medical characteristics constitute a kind of tacit professional knowledge that may be frequently mobilised in physicians

  3. The Context of Medical Decision-Making: An Analysis of Practitioner/Patient Communication.

    ERIC Educational Resources Information Center

    Fisher, Sue

    This paper examines how the exchange of information in medical interviews is organized, and how that organization produces and constrains the negotiation of treatment decisions. The analysis is drawn from the verbatim transcripts of audio-taped practitioner/patient communications, information gathered from medical files, and other ethnographic…

  4. Medical decision and patient's preference: 'much ethics' and more trust always needed.

    PubMed

    Anyfantakis, Dimitrios; Symvoulakis, Emmanouil K

    2011-01-01

    There is much discussion on medical ethics literature regarding the importance of the patients' right for self-determination. We discuss some of the limitations of patient's autonomy with the aim to draw attention to the ethical complexity of medical decision making in the everyday clinical practice.

  5. Instruments for evaluating shared medical decision making: a structured literature review.

    PubMed

    Dy, Sydney Morss

    2007-12-01

    The author conducted a structured literature review of instruments for evaluating shared medical decision making. She included relevant instruments that were generalizable beyond specific situations and had been formally evaluated and organized them by domains of values or preferences, information and communication in decision making, and other aspects of decision making. For values or preferences, the author identified 11 instruments, mostly on preferences for roles and information. For information and communication, she found a systematic review of instruments for observational assessment of decision making, 3 additional observational instruments, and 3 questionnaires. For other aspects of decision making, the author identified 3 instruments in domains such as decision self-efficacy and 4 multidimensional instruments. Although instrument development tended to cluster in several areas and there were clear gaps in the literature, the diversity of instruments demonstrates the broad range of constructs involved in assessing shared decision making.

  6. Developing a framework to support shared decision making for youth mental health medication treatment.

    PubMed

    Crickard, Elizabeth L; O'Brien, Megan S; Rapp, Charles A; Holmes, Cheryl L

    2010-10-01

    Medical shared decision making has demonstrated success in increasing collaboration between clients and practitioners for various health decisions. As the importance of a shared decision making approach becomes increasingly valued in the adult mental health arena, transfer of these ideals to youth and families of youth in the mental health system is a logical next step. A review of the literature and preliminary, formative feedback from families and staff at a Midwestern urban community mental health center guided the development of a framework for youth shared decision making. The framework includes three functional areas (1) setting the stage for youth shared decision making, (2) facilitating youth shared decision making, and (3) supporting youth shared decision making. While still in the formative stages, the value of a specific framework for a youth model in support of moving from a client-practitioner value system to a systematic, intentional process is evident.

  7. A sequential decision-theoretic model for medical diagnostic system.

    PubMed

    Li, Aiping; Jin, Songchang; Zhang, Lumin; Jia, Yan

    2015-01-01

    Although diagnostic expert systems using a knowledge base which models decision-making of traditional experts can provide important information to non-experts, they tend to duplicate the errors made by experts. Decision-Theoretic Model (DTM) is therefore very useful in expert system since they prevent experts from incorrect reasoning under uncertainty. For the diagnostic expert system, corresponding DTM and arithmetic are studied and a sequential diagnostic decision-theoretic model based on Bayesian Network is given. In the model, the alternative features are categorized into two classes (including diseases features and test features), then an arithmetic for prior of test is provided. The different features affect other features weights are also discussed. Bayesian Network is adopted to solve uncertainty presentation and propagation. The model can help knowledge engineers model the knowledge involved in sequential diagnosis and decide evidence alternative priority. A practical example of the models is also presented: at any time of the diagnostic process the expert is provided with a dynamically updated list of suggested tests in order to support him in the decision-making problem about which test to execute next. The results show it is better than the traditional diagnostic model which is based on experience.

  8. The effects of dopaminergic medication on dynamic decision making in Parkinson's disease.

    PubMed

    Osman, Magda; Ryterska, Agata; Karimi, Kash; Tu, LingLing; Obeso, Ignacio; Speekenbrink, Maarten; Jahanshahi, Marjan

    2014-01-01

    In the present study we address the following questions: (1) How is performance affected when patients with Parkinson's Disease (PD) perform a dynamic decision making task? (2) Does dopaminergic medication differentially affect dynamic decision making? To address these questions participants were trained with different goals during learning: either they made intervention-based decisions or prediction-based decisions during learning. The findings show that overall there is an advantage for those trained to intervene over those trained to predict. In addition, the results are the first demonstration that PD patients 'ON' (N=20) compared to 'OFF' L-Dopa (N=15) medication and also relative to healthy age matched controls (N=16) showed lower levels of relative improvement in the accuracy of their decisions in a dynamic decision making task, and tended to use sub-optimal strategies. These findings provide support for the 'Dopamine Overdose' hypothesis using a novel decision making task, and suggest that executive functions such as decision making can be adversely affected by dopaminergic medication in PD.

  9. How Numeracy Influences Risk Comprehension and Medical Decision Making

    ERIC Educational Resources Information Center

    Reyna, Valerie F.; Nelson, Wendy L.; Han, Paul K.; Dieckmann, Nathan F.

    2009-01-01

    We review the growing literature on health numeracy, the ability to understand and use numerical information, and its relation to cognition, health behaviors, and medical outcomes. Despite the surfeit of health information from commercial and noncommercial sources, national and international surveys show that many people lack basic numerical…

  10. Racial-Ethnic Biases, Time Pressure, and Medical Decisions

    ERIC Educational Resources Information Center

    Stepanikova, Irena

    2012-01-01

    This study examined two types of potential sources of racial-ethnic disparities in medical care: implicit biases and time pressure. Eighty-one family physicians and general internists responded to a case vignette describing a patient with chest pain. Time pressure was manipulated experimentally. Under high time pressure, but not under low time…

  11. Decisions about Confidentiality in Medical Student Mental Health Settings.

    ERIC Educational Resources Information Center

    Lindenthal, Jacob Jay; And Others

    1984-01-01

    Examined responses of psychologists and psychiatrists in medical schools (N=59) to vignettes representing student problems. Results suggested practitioners were generally unwilling to break confidentiality in response to problems involving suicidal tendencies, sexual coercion/seduction, social transgressions, or falsifying data. Only suggestions…

  12. The philosophical moment of the medical decision: revisiting emotions felt, to improve ethics of future decisions

    PubMed Central

    Coz, Pierre Le; Tassy, Sebastien

    2007-01-01

    The present investigation looks for a solution to the problem of the influence of feelings and emotions on our ethical decisions. This problem can be formulated in the following way. On the one hand, emotions (fear, pity and so on) can alter our sense of discrimination and lead us to make our wrong decisions. On the other hand, it is known that lack of sensitivity can alter our judgment and lead us to sacrifice basic ethical principles such as autonomy, beneficence, non‐maleficence and justice. Only emotions can turn a decision into an ethical one, but they can also turn it into an unreasonable one. To avoid this contradiction, suggest integrating emotions with the decisional factors of the process of “retrospective thinking”. During this thinking, doctors usually try to identify the nature and impact of feelings on the decision they have just made. In this retrospective moment of analysis of the decision, doctors also question themselves on the feelings they did not experience. They do this to estimate the consequences of this lack of feeling on the way they behaved with the patient. PMID:17664307

  13. The ethical dilemma of population-based medical decision making.

    PubMed

    Kirsner, R S; Federman, D G

    1998-11-01

    Over the past several years, there has been a growing interest in population-based medicine. Some elements in healthcare have used population-based medicine as a technique to decrease healthcare expenditures. However, in their daily practice of medicine, physicians must grapple with the question of whether they incorporate population-based medicine when making decisions for an individual patient. They therefore may encounter an ethical dilemma. Physicians must remember that the physician-patient relationship is of paramount importance and that even well-conducted research may not be applicable to an individual patient.

  14. Decision support for evidence-based pharmacotherapy detects adherence problems but does not impact medication use.

    PubMed

    Willis, Janese M; Edwards, Rex; Anstrom, Kevin J; Johnson, Fred S; Del Fiol, Guilherme; Kawamoto, Kensaku; Lapointe, Nancy M Allen; Eisenstein, Eric L; Lobach, David F

    2013-01-01

    Although evidence-based pharmacotherapies are a principal component of patient care, 30-50% of patients do not take their medications as prescribed. We conducted a randomized trial of two clinical decision support (CDS) interventions in 2219 patients: patient adherence reports to providers (n=744), patient adherence reports to providers + email notices to care managers (n=736), and controls (739). At 18-month follow-up, there were no treatment-related differences in patient medication adherence (overall, by medication class, and by medical condition). There also were no treatment-related differences in patient clinical and economic outcomes. Thus, while this study's CDS information interventions were successfully delivered to providers and care managers, and were effective in identifying medication adherence deficits and in increasing care manager responses to medication adherences issues, these interventions were not able to alter patient medication behavior.

  15. The framing effect in medical decision-making: a review of the literature.

    PubMed

    Gong, Jingjing; Zhang, Yan; Yang, Zheng; Huang, Yonghua; Feng, Jun; Zhang, Weiwei

    2013-01-01

    The framing effect, identified by Tversky and Kahneman, is one of the most striking cognitive biases, in which people react differently to a particular choice depending whether it is presented as a loss or as a gain. Numerous studies have subsequently demonstrated the robustness of the framing effect in a variety of contexts, especially in medical decision-making. Compared to daily decisions, medical decisions are of low frequency but of paramount importance. The framing effect is a well-documented bias in a variety of studies, but research is inconsistent regarding whether and how variables influence framing effects in medical decision-making. To clarify the discrepancy in the previous literature, published literature in the English language concerning the framing effect was retrieved using electronic and bibliographic searches. Two reviewers examined each article for inclusion and evaluated the articles' methodological quality. The framing effect in medical decision-making was reviewed in these papers. No studies identified an influence of framing information upon compliance with health recommendations, and different studies demonstrate different orientations of the framing effect. Because so many variables influence the presence or absence of the framing effect, the unexplained heterogeneity between studies suggests the possibility of a framing effect under specific conditions. Further research is needed to determine why the framing effect is induced and how it can be precluded.

  16. Factors predicting desired autonomy in medical decisions: Risk-taking and gambling behaviors

    PubMed Central

    Fortune, Erica E; Shotwell, Jessica J; Buccellato, Kiara; Moran, Erin

    2016-01-01

    This study investigated factors that influence patients’ desired level of autonomy in medical decisions. Analyses included previously supported demographic variables in addition to risk-taking and gambling behaviors, which exhibit a strong relationship with overall health and decision-making, but have not been investigated in conjunction with medical autonomy. Participants (N = 203) completed measures on Amazon’s Mechanical Turk, including two measures of autonomy. Two hierarchical regressions revealed that the predictors explained a significant amount of variance for both measures, but the contribution of predictor variables was incongruent between models. Possible causes for this incongruence and implications for patient–physician interactions are discussed. PMID:28070406

  17. Factors predicting desired autonomy in medical decisions: Risk-taking and gambling behaviors.

    PubMed

    Fortune, Erica E; Shotwell, Jessica J; Buccellato, Kiara; Moran, Erin

    2016-01-01

    This study investigated factors that influence patients' desired level of autonomy in medical decisions. Analyses included previously supported demographic variables in addition to risk-taking and gambling behaviors, which exhibit a strong relationship with overall health and decision-making, but have not been investigated in conjunction with medical autonomy. Participants (N = 203) completed measures on Amazon's Mechanical Turk, including two measures of autonomy. Two hierarchical regressions revealed that the predictors explained a significant amount of variance for both measures, but the contribution of predictor variables was incongruent between models. Possible causes for this incongruence and implications for patient-physician interactions are discussed.

  18. Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support.

    PubMed

    Papageorgiou, Elpiniki I; Huszka, Csaba; De Roo, Jos; Douali, Nassim; Jaulent, Marie-Christine; Colaert, Dirk

    2013-12-01

    This study aimed to focus on medical knowledge representation and reasoning using the probabilistic and fuzzy influence processes, implemented in the semantic web, for decision support tasks. Bayesian belief networks (BBNs) and fuzzy cognitive maps (FCMs), as dynamic influence graphs, were applied to handle the task of medical knowledge formalization for decision support. In order to perform reasoning on these knowledge models, a general purpose reasoning engine, EYE, with the necessary plug-ins was developed in the semantic web. The two formal approaches constitute the proposed decision support system (DSS) aiming to recognize the appropriate guidelines of a medical problem, and to propose easily understandable course of actions to guide the practitioners. The urinary tract infection (UTI) problem was selected as the proof-of-concept example to examine the proposed formalization techniques implemented in the semantic web. The medical guidelines for UTI treatment were formalized into BBN and FCM knowledge models. To assess the formal models' performance, 55 patient cases were extracted from a database and analyzed. The results showed that the suggested approaches formalized medical knowledge efficiently in the semantic web, and gave a front-end decision on antibiotics' suggestion for UTI.

  19. What role does health literacy play in patients' involvement in medical decision-making?

    PubMed Central

    Brabers, Anne E. M.; Rademakers, Jany J. D. J. M.; Groenewegen, Peter P.; van Dijk, Liset; de Jong, Judith D.

    2017-01-01

    Patients vary in their preferences towards involvement in medical decision-making. Previous research, however, gives no clear explanation for this observed variation in their involvement. One possible explanation might be health literacy. Health literacy refers to personal characteristics and social resources needed for people to access, understand and use information to make decisions about their health. This study aimed to examine the relationship between health literacy and self-reported patient involvement. With respect to health literacy, we focused on those competences relevant for medical decision-making. We hypothesized that people with higher health literacy report that they are more involved in medical decision-making. A structured questionnaire was sent to members of the Dutch Health Care Consumer Panel in May 2015 (response 46%, N = 974). Health literacy was measured using five scales of the Health Literacy Questionnaire. A regression model was used to estimate the relationship between health literacy and self-reported involvement. In general, our results did not show a relationship between health literacy and self-reported involvement. We did find a positive significant association between the health literacy scale appraisal of health information and self-reported involvement. Our hypothesis was partly confirmed. The results from this study suggest that higher order competences, that is to say critical health literacy, in particular, are important in reporting involvement in medical decision-making. Future research is recommended to unravel further the relationship between health literacy and patient involvement in order to gain insight into whether health literacy might be an asset to enhance patient participation in medical decision-making. PMID:28257472

  20. What role does health literacy play in patients' involvement in medical decision-making?

    PubMed

    Brabers, Anne E M; Rademakers, Jany J D J M; Groenewegen, Peter P; van Dijk, Liset; de Jong, Judith D

    2017-01-01

    Patients vary in their preferences towards involvement in medical decision-making. Previous research, however, gives no clear explanation for this observed variation in their involvement. One possible explanation might be health literacy. Health literacy refers to personal characteristics and social resources needed for people to access, understand and use information to make decisions about their health. This study aimed to examine the relationship between health literacy and self-reported patient involvement. With respect to health literacy, we focused on those competences relevant for medical decision-making. We hypothesized that people with higher health literacy report that they are more involved in medical decision-making. A structured questionnaire was sent to members of the Dutch Health Care Consumer Panel in May 2015 (response 46%, N = 974). Health literacy was measured using five scales of the Health Literacy Questionnaire. A regression model was used to estimate the relationship between health literacy and self-reported involvement. In general, our results did not show a relationship between health literacy and self-reported involvement. We did find a positive significant association between the health literacy scale appraisal of health information and self-reported involvement. Our hypothesis was partly confirmed. The results from this study suggest that higher order competences, that is to say critical health literacy, in particular, are important in reporting involvement in medical decision-making. Future research is recommended to unravel further the relationship between health literacy and patient involvement in order to gain insight into whether health literacy might be an asset to enhance patient participation in medical decision-making.

  1. Doc, what would you do if you were me? On self-other discrepancies in medical decision making.

    PubMed

    Garcia-Retamero, Rocio; Galesic, Mirta

    2012-03-01

    Doctors often make decisions for their patients and predict their patients' preferences and decisions to customize advice to their particular situation. We investigated how doctors make decisions about medical treatments for their patients and themselves and how they predict their patients' decisions. We also studied whether these decisions and predictions coincide with the decisions that the patients make for themselves. We document 3 important findings. First, doctors made more conservative decisions for their patients than for themselves (i.e., they more often selected a safer medical treatment). Second, doctors did so even if they accurately predicted that their patients would want a riskier treatment than the one they selected. Doctors, therefore, showed substantial self-other discrepancies in medical decision making and did not make decisions that accurately reflected their patients' preferences. Finally, patients were not aware of these discrepancies and thought that the decisions their doctors made for themselves would be similar to the decisions they made for their patients. We explain these results in light of 2 current theories of self-other discrepancies in judgment and decision making: the risk-as-feelings hypothesis and the cognitive hypothesis. Our results have important implications for research on expert decision making and for medical practice, and shed some light on the process underlying self-other discrepancies in decision making.

  2. [Subjectivity, decision and neurodegenerative diseases: reflexions on the role of the clinical psychologist in medical decision making].

    PubMed

    Brocq, H; Liarte, A; Soriani, M-H; Desnuelle, C

    2013-01-01

    Should a patient be forced to accept a treatment, especially when suffering from a neurodegenerative disease? We argue that physicians, nurses and care givers should instead accept his or her choice in accordance with the principle that every patient is an autonomous person able to make a choice, even in case of declined cognition. Beside the legal obligation, we suggest a theoretical approach and focus on the practical impacts of the patient's decision. Our objective is to promote the value of ethical doubt and attentive listening to individual opinions, so as to improve the quality of the medical staff's work and reduce patients' distress when affected by fatal diseases.

  3. Clinical-decision support based on medical literature: A complex network approach

    NASA Astrophysics Data System (ADS)

    Jiang, Jingchi; Zheng, Jichuan; Zhao, Chao; Su, Jia; Guan, Yi; Yu, Qiubin

    2016-10-01

    In making clinical decisions, clinicians often review medical literature to ensure the reliability of diagnosis, test, and treatment because the medical literature can answer clinical questions and assist clinicians making clinical decisions. Therefore, finding the appropriate literature is a critical problem for clinical-decision support (CDS). First, the present study employs search engines to retrieve relevant literature about patient records. However, the result of the traditional method is usually unsatisfactory. To improve the relevance of the retrieval result, a medical literature network (MLN) based on these retrieved papers is constructed. Then, we show that this MLN has small-world and scale-free properties of a complex network. According to the structural characteristics of the MLN, we adopt two methods to further identify the potential relevant literature in addition to the retrieved literature. By integrating these potential papers into the MLN, a more comprehensive MLN is built to answer the question of actual patient records. Furthermore, we propose a re-ranking model to sort all papers by relevance. We experimentally find that the re-ranking model can improve the normalized discounted cumulative gain of the results. As participants of the Text Retrieval Conference 2015, our clinical-decision method based on the MLN also yields higher scores than the medians in most topics and achieves the best scores for topics: #11 and #12. These research results indicate that our study can be used to effectively assist clinicians in making clinical decisions, and the MLN can facilitate the investigation of CDS.

  4. A Case Study of Career Emegency Medical Technicians: Factors That Influenced Their Decision to Stay

    ERIC Educational Resources Information Center

    Miller, Denine V.

    2013-01-01

    This case study (Stake, 1995) examined the perceptions of long-term Emergency Medical Technicians (EMTs) to identify factors influencing their decision to remain employed as EMTs for the duration of a career. EMT retention plans frequently utilize data from either employee exit interviews or workers with intent to leave, and since privacy law…

  5. Micromanaging Death: Process Preferences, Values, and Goals in End-of-Life Medical Decision Making

    ERIC Educational Resources Information Center

    Hawkins, Nikki Ayers; Ditto, Peter H.; Danks, Joseph H.; Smucker, William D.

    2005-01-01

    Purpose: This study examined patients' and surrogates' attitudes about using advance directives to manage end-of-life medical care. It also explored process preferences, or how patients want decisions to be made. Design and Methods: Data come from the third wave of the Advance Directives, Values Assessment, and Communication Enhancement project, a…

  6. Family Matters: Dyadic Agreement in End-of-Life Medical Decision Making

    ERIC Educational Resources Information Center

    Schmid, Bettina; Allen, Rebecca S.; Haley, Philip P.; DeCoster, Jamie

    2010-01-01

    Purpose: We examined race/ethnicity and cultural context within hypothetical end-of-life medical decision scenarios and its influence on patient-proxy agreement. Design and Methods: Family dyads consisting of an older adult and 1 family member, typically an adult child, responded to questions regarding the older adult's preferences for…

  7. Partnered Decisions? U.S. Couples and Medical Help-Seeking for Infertility

    ERIC Educational Resources Information Center

    Johnson, Katherine M.; Johnson, David R.

    2009-01-01

    We examined male partners' influence on the decision to seek medical help for infertility using the National Study of Fertility Barriers. Building upon an existing help-seeking framework, we incorporated characteristics of both partners from 219 heterosexual couples who had ever perceived a fertility problem. In logistic regression analyses, we…

  8. The Allied Health Care Professional's Role in Assisting Medical Decision Making at the End of Life

    ERIC Educational Resources Information Center

    Lambert, Heather

    2012-01-01

    As a patient approaches the end of life, he or she faces a number of very difficult medical decisions. Allied health care professionals, including speech-language pathologists (SLPs) and occupational therapists (OTs), can be instrumental in assisting their patients to make advance care plans, although their traditional job descriptions do not…

  9. Medical Decision-Making and Minors: Issues of Consent and Assent.

    ERIC Educational Resources Information Center

    Kuther, Tara L.

    2003-01-01

    After a brief discussion of legal perspectives on informed consent, the present review examines the developmental literature on children and adolescents' capacities to make medical decisions that are informed, voluntary, and rational. The purposes and benefits of assent are identified. Remaining questions of how to evaluate capacity and balance…

  10. Evaluation of field triage decision scheme educational resources: audience research with emergency medical service personnel.

    PubMed

    Sarmiento, Kelly; Eckstein, Daniel; Zambon, Allison

    2013-03-01

    In an effort to encourage appropriate field triage procedures, the Centers for Disease Control and Prevention (CDC), in collaboration with the National Highway Traffic Safety Administration and the American College of Surgeons-Committee on Trauma, convened the National Expert Panel on Field Triage to update the Field Triage Decision Scheme: The National Trauma Triage Protocol (Decision Scheme). In support of the Decision Scheme, CDC developed educational resources for emergency medical service (EMS) professionals, one of CDC's first efforts to develop and broadly disseminate educational information for the EMS community. CDC wanted to systematically collect information from the EMS community on what worked and what did not with respect to these educational materials and which materials were of most use. An evaluation was conducted to obtain feedback from EMS professionals about the Decision Scheme and use of Decision Scheme educational materials. The evaluation included a survey and a series of focus groups. Findings indicate that a segment of the Decision Scheme's intended audience is using the materials and learning from them, and they have had a positive influence on their triage practices. However, many of the individuals who participated in this research are not using the Decision Scheme and indicated that the materials have not affected their triage practices. Findings presented in this article can be used to inform development and distribution of additional Decision Scheme educational resources to ensure they reach a greater proportion of EMS professionals and to inform other education and dissemination efforts with the EMS community.

  11. Guided medication dosing for elderly emergency patients using real-time, computerized decision support

    PubMed Central

    Lo, Helen G; Burdick, Elisabeth; Keohane, Carol; Bates, David W

    2011-01-01

    Objective To evaluate the impact of a real-time computerized decision support tool in the emergency department that guides medication dosing for the elderly on physician ordering behavior and on adverse drug events (ADEs). Design A prospective controlled trial was conducted over 26 weeks. The status of the decision support tool alternated OFF (7/17/06–8/29/06), ON (8/29/06–10/10/06), OFF (10/10/06–11/28/06), and ON (11/28/06–1/16/07) in consecutive blocks during the study period. In patients ≥65 who were ordered certain benzodiazepines, opiates, non-steroidals, or sedative-hypnotics, the computer application either adjusted the dosing or suggested a different medication. Physicians could accept or reject recommendations. Measurements The primary outcome compared medication ordering consistent with recommendations during ON versus OFF periods. Secondary outcomes included the admission rate, emergency department length of stay for discharged patients, 10-fold dosing orders, use of a second drug to reverse the original medication, and rate of ADEs using previously validated explicit chart review. Results 2398 orders were placed for 1407 patients over 1548 visits. The majority (49/53; 92.5%) of recommendations for alternate medications were declined. More orders were consistent with dosing recommendations during ON (403/1283; 31.4%) than OFF (256/1115; 23%) periods (p≤0.0001). 673 (43%) visits were reviewed for ADEs. The rate of ADEs was lower during ON (8/237; 3.4%) compared with OFF (31/436; 7.1%) periods (p=0.02). The remaining secondary outcomes showed no difference. Limitations Single institution study, retrospective chart review for ADEs. Conclusion Though overall agreement with recommendations was low, real-time computerized decision support resulted in greater acceptance of medication recommendations. Fewer ADEs were observed when computerized decision support was active. PMID:22052899

  12. Web-based medical facilitators in medical tourism: the third party in decision-making.

    PubMed

    Wagle, Suchitra

    2013-01-01

    The emergence of web-based medical tourism facilitators (MTFs) has added a new dimension to the phenomenon of cross-border travel. These facilitators are crucial connectors between foreign patients and host countries. They help patients navigate countries, doctors and specialties. However, little attention has been paid to the authenticity of information displayed on the facilitators' web portals, and whether they follow ethical guidelines and standards. This paper analyses the available information on MTF portals from an ethics perspective. It compares 208 facilitators across 47 countries for the services offered. Data were collected from the databases of the Medical Tourism Association and World Medical Resources. India was the most common destination country linked to 81 facilitators. The five countries with the maximum number of facilitators were the USA, the UK, India, Canada and Poland. This paper identifies concerns regarding the information displayed about patients' safety, and the maintenance of confidentiality. There is a need to develop ethical standards for this field.

  13. Decision Support Alerts for Medication Ordering in a Computerized Provider Order Entry (CPOE) System

    PubMed Central

    Beccaro, M. A. Del; Villanueva, R.; Knudson, K. M.; Harvey, E. M.; Langle, J. M.; Paul, W.

    2010-01-01

    Objective We sought to determine the frequency and type of decision support alerts by location and ordering provider role during Computerized Provider Order Entry (CPOE) medication ordering. Using these data we adjusted the decision support tools to reduce the number of alerts. Design Retrospective analyses were performed of dose range checks (DRC), drug-drug interaction and drug-allergy alerts from our electronic medical record. During seven sampling periods (each two weeks long) between April 2006 and October 2008 all alerts in these categories were analyzed. Another audit was performed of all DRC alerts by ordering provider role from November 2008 through January 2009. Medication ordering error counts were obtained from a voluntary error reporting system. Measurement/Results Between April 2006 and October 2008 the percent of medication orders that triggered a dose range alert decreased from 23.9% to 7.4%. The relative risk (RR) for getting an alert was higher at the start of the interventions versus later (RR= 2.40, 95% CI 2.28-2.52; p< 0.0001). The percentage of medication orders that triggered alerts for drug-drug interactions also decreased from 13.5% to 4.8%. The RR for getting a drug interaction alert at the start was 1.63, 95% CI 1.60-1.66; p< 0.0001. Alerts decreased in all clinical areas without an increase in reported medication errors. Conclusion We reduced the quantity of decision support alerts in CPOE using a systematic approach without an increase in reported medication errors PMID:23616845

  14. Pediatric obstetrical ethics: Medical decision-making by, with, and for pregnant early adolescents.

    PubMed

    Mercurio, Mark R

    2016-06-01

    Pregnancy in an early adolescent carries with it specific ethical considerations, in some ways different from pregnancy in an adult and from medical care of a non-pregnant adolescent. Obstetrical ethics emphasizes the right of the patient to autonomy and bodily integrity, including the right to refuse medical intervention. Pediatric ethics recognizes the right of parents, within limits, to make medical decisions for their children, and the right of a child to receive medical or surgical interventions likely to be of benefit to her, sometimes over her own objections. As the child gets older, and particularly during the years of adolescence, there is also a recognition of the right to an increasingly prominent role in decisions about her own healthcare. Pediatric obstetrical ethics, referring to ethical decisions made by, with, and for pregnant early adolescents, represents the intersection of these different cultures. Principles and approaches from both obstetrical and pediatric ethics, as well as a unified understanding of rights, obligations, and practical considerations, will be needed.

  15. Dual Processing Model for Medical Decision-Making: An Extension to Diagnostic Testing

    PubMed Central

    Tsalatsanis, Athanasios; Hozo, Iztok; Kumar, Ambuj; Djulbegovic, Benjamin

    2015-01-01

    Dual Processing Theories (DPT) assume that human cognition is governed by two distinct types of processes typically referred to as type 1 (intuitive) and type 2 (deliberative). Based on DPT we have derived a Dual Processing Model (DPM) to describe and explain therapeutic medical decision-making. The DPM model indicates that doctors decide to treat when treatment benefits outweigh its harms, which occurs when the probability of the disease is greater than the so called “threshold probability” at which treatment benefits are equal to treatment harms. Here we extend our work to include a wider class of decision problems that involve diagnostic testing. We illustrate applicability of the proposed model in a typical clinical scenario considering the management of a patient with prostate cancer. To that end, we calculate and compare two types of decision-thresholds: one that adheres to expected utility theory (EUT) and the second according to DPM. Our results showed that the decisions to administer a diagnostic test could be better explained using the DPM threshold. This is because such decisions depend on objective evidence of test/treatment benefits and harms as well as type 1 cognition of benefits and harms, which are not considered under EUT. Given that type 1 processes are unique to each decision-maker, this means that the DPM threshold will vary among different individuals. We also showed that when type 1 processes exclusively dominate decisions, ordering a diagnostic test does not affect a decision; the decision is based on the assessment of benefits and harms of treatment. These findings could explain variations in the treatment and diagnostic patterns documented in today’s clinical practice. PMID:26244571

  16. What are the Essential Elements to Enable Patient Participation in Medical Decision Making?

    PubMed Central

    McGraw, Sarah

    2007-01-01

    BACKGROUND Patient participation in shared decision making (SDM) results in increased patient knowledge, adherence, and improved outcomes. Despite the benefits of the SDM model, many patients do not attain the level of participation they desire. OBJECTIVE To gain a more complete understanding of the essential elements, or the prerequisites, critical to active patient participation in medical decision making from the patient’s perspective. DESIGN Qualitative study. SETTING Individual, in-depth patient interviews were conducted until thematic saturation was reached. Two analysts independently read the transcripts and jointly developed a list of codes. PATIENTS Twenty-six consecutive subjects drawn from community dwelling subjects undergoing bone density measurements. MEASUREMENTS Respondents’ experiences and beliefs related to patient participation in SDM. RESULTS Five elements were repeatedly described by respondents as being essential to enable patient participation in medical decision making: (1) patient knowledge, (2) explicit encouragement of patient participation by physicians, (3) appreciation of the patient’s responsibility/rights to play an active role in decision making, (4) awareness of choice, and (5) time. LIMITATIONS The generalizability of the results is limited by the homogeneity of the study sample. CONCLUSIONS Our findings have important clinical implications and suggest that several needs must be met before patients can become active participants in decisions related to their health care. These needs include ensuring that patients (1) appreciate that there is uncertainty in medicine and “buy in” to the importance of active patient participation in decisions related to their health care, (2) understand the trade-offs related to available options, and (3) have the opportunity to discuss these options with their physician to arrive at a decision concordant with their values. PMID:17443368

  17. Shared decision-making in medical encounters regarding breast cancer treatment: the contribution of methodological triangulation.

    PubMed

    Durif-Bruckert, C; Roux, P; Morelle, M; Mignotte, H; Faure, C; Moumjid-Ferdjaoui, N

    2015-07-01

    The aim of this study on shared decision-making in the doctor-patient encounter about surgical treatment for early-stage breast cancer, conducted in a regional cancer centre in France, was to further the understanding of patient perceptions on shared decision-making. The study used methodological triangulation to collect data (both quantitative and qualitative) about patient preferences in the context of a clinical consultation in which surgeons followed a shared decision-making protocol. Data were analysed from a multi-disciplinary research perspective (social psychology and health economics). The triangulated data collection methods were questionnaires (n = 132), longitudinal interviews (n = 47) and observations of consultations (n = 26). Methodological triangulation revealed levels of divergence and complementarity between qualitative and quantitative results that suggest new perspectives on the three inter-related notions of decision-making, participation and information. Patients' responses revealed important differences between shared decision-making and participation per se. The authors note that subjecting patients to a normative behavioural model of shared decision-making in an era when paradigms of medical authority are shifting may undermine the patient's quest for what he or she believes is a more important right: a guarantee of the best care available.

  18. Evaluation of the "make or buy" decision for oral solid unit-dose medications.

    PubMed

    Yeoman, A E

    1979-01-01

    Changing from one drug distribution system to another requires analysis of many standard operating procedures. Analysis of the "make or buy" decision, a form of break-even analysis, is necessary. A mathematical model is developed that considers the relevant costs and allows one to compare directly the commercially available unit-dose medication with your own repackaging process. The mathematical model is intended to aid in the decision of whether to make or buy a unit-dose form of medication. The relevant range of the model and the results are approximate but they give a good estimation of the costs involved. The information necessary to decide what form of unit-dose packaging suits your needs best and the ability to analyze the alternatives is implicit.

  19. A mobile decision support system for red eye diseases diagnosis: experience with medical students.

    PubMed

    López, Marta Manovel; López, Miguel Maldonado; de la Torre Díez, Isabel; Jimeno, José Carlos Pastor; López-Coronado, Miguel

    2016-06-01

    A good primary health care is the base for a better healthcare system. Taking a good decision on time by the primary health care physician could have a huge repercussion. In order to ease the diagnosis task arise the Decision Support Systems (DSS), which offer counselling instead of refresh the medical knowledge, in a profession where it is still learning every day. The implementation of these systems in diseases which are a frequent cause of visit to the doctor like ophthalmologic pathologies are, which affect directly to our quality of life, takes more importance. This paper aims to develop OphthalDSS, a totally new mobile DSS for red eye diseases diagnosis. The main utilities that OphthalDSS offers will be a study guide for medical students and a clinical decision support system for primary care professionals. Other important goal of this paper is to show the user experience results after OphthalDSS being used by medical students of the University of Valladolid. For achieving the main purpose of this research work, a decision algorithm will be developed and implemented by an Android mobile application. Moreover, the Quality of Experience (QoE) has been evaluated by the students through the questions of a short inquiry. The app developed which implements the algorithm OphthalDSS is capable of diagnose more than 30 eye's anterior segment diseases. A total of 67 medical students have evaluated the QoE. The students find the diseases' information presented very valuable, the appearance is adequate, it is always available and they have ever found what they were looking for. Furthermore, the students think that their quality of life has not been improved using the app and they can do the same without using the OphthalDSS app. OphthalDSS is easy to use, which is capable of diagnose more than 30 ocular diseases in addition to be used as a DSS tool as an educational tool at the same time.

  20. A history of evidence in medical decisions: from the diagnostic sign to Bayesian inference.

    PubMed

    Mazur, Dennis J

    2012-01-01

    Bayesian inference in medical decision making is a concept that has a long history with 3 essential developments: 1) the recognition of the need for data (demonstrable scientific evidence), 2) the development of probability, and 3) the development of inverse probability. Beginning with the demonstrative evidence of the physician's sign, continuing through the development of probability theory based on considerations of games of chance, and ending with the work of Jakob Bernoulli, Laplace, and others, we will examine how Bayesian inference developed.

  1. An expert-guided decision tree construction strategy: an application in knowledge discovery with medical databases.

    PubMed Central

    Tsai, Y. S.; King, P. H.; Higgins, M. S.; Pierce, D.; Patel, N. P.

    1997-01-01

    With the steady growth in electronic patient records and clinical medical informatics systems, the data collected for routine clinical use have been accumulating at a dramatic rate. Inter-disciplinary research provides a new generation of computation tools in knowledge discovery and data management is in great demand. In this study, an expert-guided decision tree construction strategy is proposed to offer an user-oriented knowledge discovery environment. The strategy allows experts, based on their expertise and/or preference, to override inductive decision tree construction process. Moreover, by reviewing decision paths, experts could focus on subsets of data that may be clues to new findings, or simply contaminated cases. PMID:9357618

  2. The law and its interaction with medical ethics in end-of-life decision making.

    PubMed

    Cerminara, Kathy L

    2011-09-01

    The previous two articles in this series explored the historical and theoretical development of medical decision making from initial reliance on medical beneficence to a more recent emphasis on patient autonomy. The law of withholding and withdrawal of treatment has much in common with medical ethics. It is based on concerns about patient autonomy expressed by courts, legislatures, and the executive branch of the government. Legally, the patient's right of self-determination has been based on a variety of sources ranging from state and federal constitutions to the common law of torts and from cases to statutes and regulations. Understanding the various sources of the law, the distinctions among those sources, and the interaction of the branches of government in this context assists in understanding the law itself. In our federalist system of government, significant legal variations can exist among the states, but although technically valid, excessive concern about compliance with the precise contours of each state's statute when surrogate decision makers are engaging in bedside deliberations is unnecessary. Regardless of source or precise legal contours, the overall goal, which neither the physician nor the patient's surrogate or proxy decision makers should forget, is to honor what the patient would want to have done. Physicians and attorneys will agree on that as a matter of both ethics and the law.

  3. An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems.

    PubMed

    Uzoka, Faith-Michael Emeka; Obot, Okure; Barker, Ken; Osuji, J

    2011-07-01

    The task of medical diagnosis is a complex one, considering the level vagueness and uncertainty management, especially when the disease has multiple symptoms. A number of researchers have utilized the fuzzy-analytic hierarchy process (fuzzy-AHP) methodology in handling imprecise data in medical diagnosis and therapy. The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out pairwise comparison of decision elements in order to determine their importance in the decision process. This study attempts to do a case comparison of the fuzzy and AHP methods in the development of medical diagnosis system, which involves basic symptoms elicitation and analysis. The results of the study indicate a non-statistically significant relative superiority of the fuzzy technology over the AHP technology. Data collected from 30 malaria patients were used to diagnose using AHP and fuzzy logic independent of one another. The results were compared and found to covary strongly. It was also discovered from the results of fuzzy logic diagnosis covary a little bit more strongly to the conventional diagnosis results than that of AHP.

  4. Medical decision making for patients with Parkinson disease under Average Cost Criterion.

    PubMed

    Goulionis, John E; Vozikis, Athanassios

    2009-06-24

    Parkinson's disease (PD) is one of the most common disabling neurological disorders and results in substantial burden for patients, their families and the as a whole society in terms of increased health resource use and poor quality of life. For all stages of PD, medication therapy is the preferred medical treatment. The failure of medical regimes to prevent disease progression and to prevent long-term side effects has led to a resurgence of interest in surgical procedures. Partially observable Markov decision models (POMDPs) are a powerful and appropriate technique for decision making. In this paper we applied the model of POMDP's as a supportive tool to clinical decisions for the treatment of patients with Parkinson's disease. The aim of the model was to determine the critical threshold level to perform the surgery in order to minimize the total lifetime costs over a patient's lifetime (where the costs incorporate duration of life, quality of life, and monetary units). Under some reasonable conditions reflecting the practical meaning of the deterioration and based on the various diagnostic observations we find an optimal average cost policy for patients with PD with three deterioration levels.

  5. What Do Physicians Believe About the Way Decisions Are Made? A Pilot Study on Metacognitive Knowledge in the Medical Context

    PubMed Central

    Iannello, Paola; Perucca, Valeria; Riva, Silvia; Antonietti, Alessandro; Pravettoni, Gabriella

    2015-01-01

    Metacognition relative to medical decision making has been poorly investigated to date. However, beliefs about methods of decision making (metacognition) play a fundamental role in determining the efficiency of the decision itself. In the present study, we investigated a set of beliefs that physicians develop in relation to the modes of making decisions in a professional environment. The Solomon Questionnaire, designed to assess metacognitive knowledge about behaviors and mental processes involved in decision making, was administered to a sample of 18 emergency physicians, 18 surgeons, and 18 internists. Significant differences in metacognitive knowledge emerged among these three medical areas. Physicians’ self-reports about the decision process mirrored the peculiarities of the context in which they operate. Their metacognitive knowledge demonstrated a reflective attitude that is an effective tool during the decision making process. PMID:27247686

  6. Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

    PubMed Central

    Miller, R A

    1994-01-01

    Articles about medical diagnostic decision support (MDDS) systems often begin with a disclaimer such as, "despite many years of research and millions of dollars of expenditures on medical diagnostic systems, none is in widespread use at the present time." While this statement remains true in the sense that no single diagnostic system is in widespread use, it is misleading with regard to the state of the art of these systems. Diagnostic systems, many simple and some complex, are now ubiquitous, and research on MDDS systems is growing. The nature of MDDS systems has diversified over time. The prospects for adoption of large-scale diagnostic systems are better now than ever before, due to enthusiasm for implementation of the electronic medical record in academic, commercial, and primary care settings. Diagnostic decision support systems have become an established component of medical technology. This paper provides a review and a threaded bibliography for some of the important work on MDDS systems over the years from 1954 to 1993. PMID:7719792

  7. Hypermedia or Hyperchaos: Using HyperCard to Teach Medical Decision Making

    PubMed Central

    Smith, W.R.; Hahn, J.S.

    1989-01-01

    HyperCard presents an uncoventional instructional environment for educators and students, in that it is nonlinear, nonsequential, and it provides innumerable choices of learning paths to learners. The danger of this environment is that it may frustrate learners whose cognitive and learning styles do not match this environment. Leaners who prefer guided learning rather than independent exploration may become distracted or disoriented by this environment, lost in “hyperspace.” In the context of medical education, these ill-matched styles may produce some physicians who have not mastered skills essential to the practice of medicine. The authors have sought to develop a HyperCard learning environment consisting of related programs that teach medical decision making. The environment allows total learner control until the learner demonstrates a need for guidance in order to achieve the essential objectives of the program. A discussion follows of the implications of hypermedia for instructional design and medical education.

  8. Investigating medical decision-making capacity in patients with cognitive impairment using a protocol based on linguistic features.

    PubMed

    Tallberg, Ing-Mari; Stormoen, Sara; Almkvist, Ove; Eriksdotter, Maria; Sundström, Erik

    2013-10-01

    A critical question is whether cognitively impaired patients have the competence for autonomous decisions regarding participation in clinical trials. The present study aimed to investigate medical decision-making capacity by use of a Swedish linguistic instrument for medical decision-making (LIMD) in hypothetical clinical trials in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Three comparable groups (age, education) participated in the study: AD (n = 20; MMSE: 24.1 ± 3.3) and MCI (n = 22; MMSE: 26.7 ± 2.4) patients and healthy controls (n = 37; MMSE: 29.1 ± 1.0). Medical decision-making capacity was operationalized as answers to questions regarding participation in three hypothetical clinical trials. Answers were scored regarding comprehension, evaluation and intelligibility of decisions, and a total LIMD score was used as the measure of medical decision-making ability. Groups differed significantly in LIMD with AD patients performing worst and MCI poorer than the control group. A strong association was found between all LIMD scores and diagnosis which supported the assertion that LIMD as it is designed is a one-dimensional instrument of medical decision-making capacity (MDMC). The results indicate that a fundamental communicative ability has an impact on the competence for autonomous decisions in cognitive impairment.

  9. Parental decision-making for medically complex infants and children: An integrated literature review

    PubMed Central

    Allen, Kimberly A.

    2014-01-01

    Background Many children with life-threatening conditions who would have died at birth are now surviving months to years longer than previously expected. Understanding how parents make decisions is necessary to prevent parental regret about decision-making, which can lead to psychological distress, decreased physical health, and decreased quality of life for the parents. Objective The aim of this integrated literature review was to describe possible factors that affect parental decision-making for medically complex children. The critical decisions included continuation or termination of a high-risk pregnancy, initiation of life-sustaining treatments such as resuscitation, complex cardiothoracic surgery, use of experimental treatments, end-of-life care, and limitation of care or withdrawal of support. Design PubMed, Cumulative Index of Nursing and Allied Health Literature, and PsycINFO were searched using the combined key terms ‘parents and decision-making’ to obtain English language publications from 2000 to June 2013. Results The findings from each of the 31 articles retained were recorded. The strengths of the empirical research reviewed are that decisions about initiating life support and withdrawing life support have received significant attention. Researchers have explored how many different factors impact decision-making and have used multiple different research designs and data collection methods to explore the decision-making process. These initial studies lay the foundation for future research and have provided insight into parental decision-making during times of crisis. Conclusions Studies must begin to include both parents and providers so that researchers can evaluate how decisions are made for individual children with complex chronic conditions to understand the dynamics between parents and parent–provider relationships. The majority of studies focused on one homogenous diagnostic group of premature infants and children with complex congenital

  10. Surrogate medical decision making on behalf of a never-competent, profoundly intellectually disabled patient who is acutely ill.

    PubMed

    Venkat, Arvind

    2012-01-01

    With the improvements in medical care and resultant increase in life expectancy of the intellectually disabled, it will become more common for healthcare providers to be confronted by ethical dilemmas in the care of this patient population. Many of the dilemmas will focus on what is in the best interest of patients who have never been able to express their wishes with regard to medical and end-of-life care and who should be empowered to exercise surrogate medical decision-making authority on their behalf. A case is presented that exemplifies the ethical and legal tensions surrounding surrogate medical decision making for acutely ill, never-competent, profoundly intellectually disabled patients.

  11. To Medicate or Not to Medicate?: The Decision-Making Process of Western Australian Parents Following Their Child's Diagnosis with an Attention Deficit Hyperactivity Disorder

    ERIC Educational Resources Information Center

    Taylor, Myra; O'Donoghue, Tom; Houghton, Stephen

    2006-01-01

    This article examines the decision-making processes that Western Australian parents utilise when deciding whether to medicate or not to medicate their child diagnosed with Attention Deficit Hyperactivity Disorder. Thirty-three parents (five fathers and 28 mothers) from a wide range of socio-economic status suburbs in Perth, Western Australia were…

  12. 77 FR 46033 - Medical University of South Carolina, et al.; Notice of Consolidated Decision on Applications for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-02

    ... Electron Microscope This is a decision consolidated pursuant to Section 6(c) of the Educational, Scientific...: Medical University of South Carolina, Charleston, SC 29403. Instrument: Electron Microscope. Manufacturer.... Applicant: University of Wyoming, Laramie, WY 82071. Instrument: Electron Microscope. Manufacturer:...

  13. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations

    PubMed Central

    Qian, Wuyong; Wang, Zhou-Jing; Li, Kevin W.

    2016-01-01

    Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical multicriteria decision model to address medical waste disposal method selection (MWDMS), where disposal methods are assessed against different criteria as intuitionistic fuzzy preference relations and criteria weights are furnished as real values. This paper first introduces new operations for a special class of intuitionistic fuzzy values, whose membership and non-membership information is cross ratio based ]0, 1[-values. New score and accuracy functions are defined in order to develop a comparison approach for ]0, 1[-valued intuitionistic fuzzy numbers. A weighted geometric operator is then put forward to aggregate a collection of ]0, 1[-valued intuitionistic fuzzy values. Similar to Saaty’s 1–9 scale, this paper proposes a cross-ratio-based bipolar 0.1–0.9 scale to characterize pairwise comparison results. Subsequently, a two-level hierarchical structure is formulated to handle multicriteria decision problems with intuitionistic preference relations. Finally, the proposed decision framework is applied to MWDMS to illustrate its feasibility and effectiveness. PMID:27618082

  14. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations.

    PubMed

    Qian, Wuyong; Wang, Zhou-Jing; Li, Kevin W

    2016-09-09

    Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical multicriteria decision model to address medical waste disposal method selection (MWDMS), where disposal methods are assessed against different criteria as intuitionistic fuzzy preference relations and criteria weights are furnished as real values. This paper first introduces new operations for a special class of intuitionistic fuzzy values, whose membership and non-membership information is cross ratio based ]0, 1[-values. New score and accuracy functions are defined in order to develop a comparison approach for ]0, 1[-valued intuitionistic fuzzy numbers. A weighted geometric operator is then put forward to aggregate a collection of ]0, 1[-valued intuitionistic fuzzy values. Similar to Saaty's 1-9 scale, this paper proposes a cross-ratio-based bipolar 0.1-0.9 scale to characterize pairwise comparison results. Subsequently, a two-level hierarchical structure is formulated to handle multicriteria decision problems with intuitionistic preference relations. Finally, the proposed decision framework is applied to MWDMS to illustrate its feasibility and effectiveness.

  15. Complementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and Challenges

    PubMed Central

    Asante Antwi, Henry

    2016-01-01

    Early accounts of the development of modern medicine suggest that the clinical skills, scientific competence, and doctors' judgment were the main impetus for treatment decision, diagnosis, prognosis, therapy assessment, and medical progress. Yet, clinician judgment has its own critics and is sometimes harshly described as notoriously fallacious and an irrational and unfathomable black box with little transparency. With the rise of contemporary medical research, the reputation of clinician judgment has undergone significant reformation in the last century as its fallacious aspects are increasingly emphasized relative to the evidence based options. Within the last decade, however, medical forecasting literature has seen tremendous change and new understanding is emerging on best ways of sharing medical information to complement the evidence based medicine practices. This review revisits and highlights the core debate on clinical judgments and its interrelations with evidence based medicine. It outlines the key empirical results of clinician judgments relative to evidence based models and identifies its key strengths and prospects, the key limitations and conditions for the effective use of clinician judgment, and the extent to which it can be optimized and professionalized for medical use. PMID:27642588

  16. Complementarity of Clinician Judgment and Evidence Based Models in Medical Decision Making: Antecedents, Prospects, and Challenges.

    PubMed

    Lulin, Zhou; Yiranbon, Ethel; Asante Antwi, Henry

    2016-01-01

    Early accounts of the development of modern medicine suggest that the clinical skills, scientific competence, and doctors' judgment were the main impetus for treatment decision, diagnosis, prognosis, therapy assessment, and medical progress. Yet, clinician judgment has its own critics and is sometimes harshly described as notoriously fallacious and an irrational and unfathomable black box with little transparency. With the rise of contemporary medical research, the reputation of clinician judgment has undergone significant reformation in the last century as its fallacious aspects are increasingly emphasized relative to the evidence based options. Within the last decade, however, medical forecasting literature has seen tremendous change and new understanding is emerging on best ways of sharing medical information to complement the evidence based medicine practices. This review revisits and highlights the core debate on clinical judgments and its interrelations with evidence based medicine. It outlines the key empirical results of clinician judgments relative to evidence based models and identifies its key strengths and prospects, the key limitations and conditions for the effective use of clinician judgment, and the extent to which it can be optimized and professionalized for medical use.

  17. Collection of Medical Original Data with Search Engine for Decision Support.

    PubMed

    Orthuber, Wolfgang

    2016-01-01

    Medicine is becoming more and more complex and humans can capture total medical knowledge only partially. For specific access a high resolution search engine is demonstrated, which allows besides conventional text search also search of precise quantitative data of medical findings, therapies and results. Users can define metric spaces ("Domain Spaces", DSs) with all searchable quantitative data ("Domain Vectors", DSs). An implementation of the search engine is online in http://numericsearch.com. In future medicine the doctor could make first a rough diagnosis and check which fine diagnostics (quantitative data) colleagues had collected in such a case. Then the doctor decides about fine diagnostics and results are sent (half automatically) to the search engine which filters a group of patients which best fits to these data. In this specific group variable therapies can be checked with associated therapeutic results, like in an individual scientific study for the current patient. The statistical (anonymous) results could be used for specific decision support. Reversely the therapeutic decision (in the best case with later results) could be used to enhance the collection of precise pseudonymous medical original data which is used for better and better statistical (anonymous) search results.

  18. The Integrated Medical Model: A Risk Assessment and Decision Support Tool for Human Space Flight Missions

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric L.; Minard, Charles; FreiredeCarvalho, Mary H.; Walton, Marlei E.; Myers, Jerry G., Jr.; Saile, Lynn G.; Lopez, Vilma; Butler, Douglas J.; Johnson-Throop, Kathy A.

    2011-01-01

    This slide presentation reviews the Integrated Medical Model (IMM) and its use as a risk assessment and decision support tool for human space flight missions. The IMM is an integrated, quantified, evidence-based decision support tool useful to NASA crew health and mission planners. It is intended to assist in optimizing crew health, safety and mission success within the constraints of the space flight environment for in-flight operations. It uses ISS data to assist in planning for the Exploration Program and it is not intended to assist in post flight research. The IMM was used to update Probability Risk Assessment (PRA) for the purpose of updating forecasts for the conditions requiring evacuation (EVAC) or Loss of Crew Life (LOC) for the ISS. The IMM validation approach includes comparison with actual events and involves both qualitative and quantitaive approaches. The results of these comparisons are reviewed. Another use of the IMM is to optimize the medical kits taking into consideration the specific mission and the crew profile. An example of the use of the IMM to optimize the medical kits is reviewed.

  19. Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

    PubMed Central

    Bal, Mert; Amasyali, M. Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse

    2014-01-01

    The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets. PMID:25295291

  20. Performance evaluation of the machine learning algorithms used in inference mechanism of a medical decision support system.

    PubMed

    Bal, Mert; Amasyali, M Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse

    2014-01-01

    The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of decision support systems consists of four main subjects called inference mechanism, knowledge-base, explanation module, and active memory. Inference mechanism constitutes the basis of decision support systems. There are various methods that can be used in these mechanisms approaches. Some of these methods are decision trees, artificial neural networks, statistical methods, rule-based methods, and so forth. In decision support systems, those methods can be used separately or a hybrid system, and also combination of those methods. In this study, synthetic data with 10, 100, 1000, and 2000 records have been produced to reflect the probabilities on the ALARM network. The accuracy of 11 machine learning methods for the inference mechanism of medical decision support system is compared on various data sets.

  1. Parent Perspectives on the Decision to Initiate Medication Treatment of Attention-Deficit/Hyperactivity Disorder

    PubMed Central

    Pappadopulos, Elizabeth; Katsiotas, Nikki J.; Berest, Alison; Jensen, Peter S.; Kafantaris, Vivian

    2012-01-01

    Abstract Objectives Despite substantial evidence supporting the efficacy of stimulant medication for children with attention-deficit/hyperactivity disorder (ADHD), adherence to stimulant treatment is often suboptimal. Applying social/cognitive theories to understanding and assessing parent attitudes toward initiating medication may provide insight into factors influencing parent decisions to follow ADHD treatment recommendations. This report describes results from formative research that used focus groups to obtain parent input to guide development of a provider-delivered intervention to improve adherence to stimulants. Methods Participants were caregivers of children with ADHD who were given a stimulant treatment recommendation. Focus groups were recorded and transcribed verbatim. Data were analyzed by inductive, grounded theory methods as well as a deductive analytic strategy using an adapted version of the Unified Theory of Behavior Change to organize and understand parent accounts. Results Five groups were conducted with 27 parents (mean child age=9.35 years; standard deviation [SD]=2.00), mean time since diagnosis=3.33 years (SD=2.47). Most parents (81.5%) had pursued stimulant treatment. Inductive analysis revealed 17 attitudes facilitating adherence and 25 barriers. Facilitators included parent beliefs that medication treatment resulted in multiple functional gains and that treatment was imperative for their children's safety. Barriers included fears of personality changes and medication side effects. Complex patterns of parent adherence to medication regimens were also identified, as well as preferences for psychiatrists who were diagnostically expert, gave psychoeducation using multiple modalities, and used a chronic illness metaphor to explain ADHD. Theory-based analyses revealed conflicting expectancies about treatment risks and benefits, significant family pressures to avoid medication, guilt and concern that their children required medication, and

  2. Expert Medical Decision-Making: How the Data-Frame Theory Can Explain Physician Sense-Making.

    PubMed

    Hudson, Darren; Singh, Gurmeet

    2017-01-01

    The major task of physicians is decision making. This is often done in time pressured situations. The traditional theory of decision making does not reflect this reality and naturalistic decision making is a more appropriate model. The first step is to make sense of the patient or the problem and the Data-Frame Theory of Klein seems to be the best model. This model has significant implications in the way we view clinical information systems, communication and medical education.

  3. Analysis of medical-decision making and the use of standards of care in oncology.

    PubMed Central

    Holzer, S.; Fremgen, A. M.; Hundahl, S. A.; Dudeck, J.

    2000-01-01

    Guidelines in medicine have been proposed as a way to assist physicians in the clinical decision-making process. Increasingly, they form the basis for assessing accountability in the delivery of healthcare services. However, experiences with their evaluation, as the most important step in the continuous guidelines process, are rare. Patient Care Evaluation Studies have been developed by the Commission on Cancer in the United States. As they reflect the "real-world" medical practice they are helpful in evaluating the quality of diagnosis, therapy and follow-up of tumor diseases in hospitals and cancer center and the compliance with current standards of care. In this context, they can provide an infrastructure for the analysis of the decision-making process. PMID:11079906

  4. Service-oriented medical system for supporting decisions with missing and imbalanced data.

    PubMed

    Zieba, Maciej

    2014-09-01

    In this paper, we propose a service-oriented support decision system (SOSDS) for diagnostic problems that is insensitive to the problems of the imbalanced data and missing values of the attributes, which are widely observed in the medical domain. The system is composed of distributed Web services, which implement machine-learning solutions dedicated to constructing the decision models directly from the datasets impaired by the high percentage of missing values of the attributes and imbalanced class distribution. The issue of the imbalanced data is solved by the application of a cost-sensitive support vector machine and the problem of missing values of attributes is handled by proposing the novel ensemble-based approach that splits the incomplete data space into complete subspaces that are further used to construct base learners. We evaluate the quality of the SOSDS components using three ontological datasets.

  5. Continuing education in ethical decision making using case studies from medical social work.

    PubMed

    McCormick, Andrew J; Stowell-Weiss, Patti; Carson, Jennifer; Tebo, Gerald; Hanson, Inga; Quesada, Bianca

    2014-01-01

    Medical social workers have needs for training in ethics that is specific to dilemmas that arise while providing service to patients who are very ill, mentally compromised, or in a terminal condition. A social work department developed a continuing education training to educate social workers in bioethics related to determining decisional capacity and understanding standards of ethical decision making. Case studies are used to illustrate ethical conflicts and the role of social workers in resolving them. The benefits of case study training are discussed.

  6. A JAVA implementation of a medical knowledge base for decision support.

    PubMed

    Ambrosiadou, V; Goulis, D; Shankararaman, V; Shamtani, G

    1999-01-01

    Distributed decision support is a challenging issue requiring the implementation of advanced computer science techniques together with tools of development which offer ease of communication and efficiency of searching and control performance. This paper presents a JAVA implementation of a knowledge base model called ARISTOTELES which may be used in order to support the development of the medical knowledge base by clinicians in diverse specialised areas of interest. The advantages that are evident by the application of such a cognitive model are ease of knowledge acquisition, modular construction of the knowledge base and greater acceptance from clinicians.

  7. Performance of online drug information databases as clinical decision support tools in infectious disease medication management.

    PubMed

    Polen, Hyla H; Zapantis, Antonia; Clauson, Kevin A; Clauson, Kevin Alan; Jebrock, Jennifer; Paris, Mark

    2008-11-06

    Infectious disease (ID) medication management is complex and clinical decision support tools (CDSTs) can provide valuable assistance. This study evaluated scope and completeness of ID drug information found in online databases by evaluating their ability to answer 147 question/answer pairs. Scope scores produced highest rankings (%) for: Micromedex (82.3), Lexi-Comp/American Hospital Formulary Service (81.0), and Medscape Drug Reference (81.0); lowest includes: Epocrates Online Premium (47.0), Johns Hopkins ABX Guide (45.6), and PEPID PDC (40.8).

  8. Using PICO to align medical evidence with MDs decision making models.

    PubMed

    O'Sullivan, Dympna; Wilk, Szymon; Michalowski, Wojtek; Farion, Ken

    2013-01-01

    Modern medicine is characterized by an "explosion" in clinical research information making practical application of Evidence-Based Medicine (EBM), problematic for many clinicians. We have developed a PICO-(evidence based search strategy focusing on Patient/Population, Intervention, Comparison and Outcome)-based framework for (indexing and retrieving medical evidence and we posit that the use of PICO allows for organizing evidence that is aligned with an MD's decision making model. We describe a study where medical students evaluated our PICO-based approach and results show that students are eager to apply EBM but are hindered by a lack of specialist skills. Students reported that the PICO-based framework for organizing evidence provided an intuitive way of accessing and evaluating evidence and would be useful for their clinical tasks.

  9. The family and harmonious medical decision making: cherishing an appropriate Confucian moral balance.

    PubMed

    Chen, Xiaoyang; Fan, Ruiping

    2010-10-01

    This essay illustrates what the Chinese family-based and harmony-oriented model of medical decision making is like as well as how it differs from the modern Western individual-based and autonomy-oriented model in health care practice. The essay discloses the roots of the Chinese model in the Confucian account of the family and the Confucian view of harmony. By responding to a series of questions posed to the Chinese model by modern Western scholars in terms of the basic individualist concerns and values embedded in the modern Western model, we conclude that the Chinese people have justifiable reasons to continue to apply the Chinese model to their contemporary health care and medical practice.

  10. Medical equipment classification: method and decision-making support based on paraconsistent annotated logic.

    PubMed

    Oshiyama, Natália F; Bassani, Rosana A; D'Ottaviano, Itala M L; Bassani, José W M

    2012-04-01

    As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification.

  11. Decision making preferences in the medical encounter – a factorial survey design

    PubMed Central

    Müller-Engelmann, Meike; Krones, Tanja; Keller, Heidi; Donner-Banzhoff, Norbert

    2008-01-01

    Background Up to now it has not been systematically investigated in which kind of clinical situations a consultation style based on shared decision making (SDM) is preferred by patients and physicians. We suggest the factorial survey design to address this problem. This method, which so far has hardly been used in health service research, allows to vary relevant factors describing clinical situations as variables systematically in an experimental random design and to investigate their importance in large samples. Methods/Design To identify situational factors for the survey we first performed a literature search which was followed by a qualitative interview study with patients, physicians and health care experts. As a result, 7 factors (e.g. "Reason for consultation" and "Number of therapeutic options") with 2 to 3 levels (e.g. "One therapeutic option" and "More than one therapeutic option") will be included in the study. For the survey the factor levels will be randomly combined to short stories describing different treatment situations. A randomized sample of all possible short stories will be given to at least 300 subjects (100 GPs, 100 patients and 100 members of self-help groups) who will be asked to rate how the decision should be made. Main outcome measure is the preference for participation in the decision making process in the given clinical situation. Data analysis will estimate the effects of the factors on the rating and also examine differences between groups. Discussion The results will reveal the effects of situational variations on participation preferences. Thus, our findings will contribute to the understanding of normative values in the medical decision making process and will improve future implementation of SDM and decision aids. PMID:19091091

  12. Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial

    PubMed Central

    2013-01-01

    Background Comparative effectiveness research (CER) documents important differences in antidepressants in terms of efficacy, safety, cost, and burden to the patient. Decision aids can adapt this evidence to help patients participate in making informed choices. In turn, antidepressant therapy will more likely reflect patients’ values and context, leading to improved adherence and mood outcomes. Methods/Design The objective of this study is to develop the Depression Medication Choice decision aid for use during primary care encounters, and to test its efficacy by conducting a clustered practical randomized trial comparing the decision aid to usual depression care in primary care practices. We will use a novel practice-based, patient-centered approach based on participatory action research that involves a multidisciplinary team of designers, investigators, clinicians, patient representatives, and other stakeholders for the development of the decision aid. We will then conduct a clustered practical randomized trial enrolling clinicians and their patients (n = 300) with moderate to severe depression from rural, suburban and inner city primary care practices (n = 10). The intervention will consist of the use of the depression medication choice decision aid during the clinical encounter. This trial will generate preliminary evidence of the relative impact of the decision aid on patient involvement in decision making, decision making quality, patient knowledge, and 6-month measures of medication adherence and mental health compared to usual depression care. Discussion Upon completion of the proposed research, we will have developed and evaluated the efficacy of the decision aid depression medication choice as a novel translational tool for CER in depression treatment, engaged patients with depression in their care, and refined the process by which we conduct practice-based trials with limited research footprint. Trial registration Clinical Trials.gov: NCT01502891 PMID

  13. RTI v medical ethics: some questions arising from the recent decision of the Chief Information Commissioner under the RTI Act.

    PubMed

    Nair, M R Hariharan

    2015-01-01

    Medical ethics attaches the utmost priority to the confidentiality of medical records. Hence, the decision of the Chief Information Commissioner (CIC) rendered on April 10, 2015 in Case No: CIC/KY/A/2014/001348SA Ms Jyoti Jeena v. PIO, Institute of Human Behaviour & Allied Science (hereinafter referred to as Jyoti Jeena), that the wife-applicant is entitled to get copies of the medical records of her estranged husband has raised many eyebrows.

  14. The Re-contextualization of the Patient: What Home Health Care Can Teach Us About Medical Decision-Making.

    PubMed

    Salter, Erica K

    2015-06-01

    This article examines the role of context in the development and deployment of standards of medical decision-making. First, it demonstrates that bioethics, and our dominant standards of medical decision-making, developed out of a specific historical and philosophical environment that prioritized technology over the person, standardization over particularity, individuality over relationship and rationality over other forms of knowing. These forces de-contextualize the patient and encourage decision-making that conforms to the unnatural and contrived environment of the hospital. The article then explores several important differences between the home health care and acute care settings. Finally, it argues that the personalized, embedded, relational and idiosyncratic nature of the home is actually a much more accurate reflection of the context in which real people make real decisions. Thus, we should work to "re-contextualize" patients, in order that they might be better equipped to make decisions that harmonize with their real lives.

  15. Participatory decision making, asthma action plans, and use of asthma medication: a population survey.

    PubMed

    Adams, Robert J; Appleton, Sarah; Wilson, David H; Ruffin, Richard E

    2005-10-01

    Use of controller asthma medication and possession of asthma action plans remains suboptimal. Our aim was to investigate the association of the propensity of physicians to involve patients in their care (participatory decision-making style) and their asthma management in a representative population sample of 3015 adults. Current doctor-diagnosed asthma was reported by 393 (13.0%). People who rated their doctors as more participatory were significantly more likely to report more regular use of controller medications and possession of a written asthma action plan, but not less asthma morbidity. Possession of a written action plan was associated with more participatory interactions (OR 2.3; 95% CI 1.1-4.7, for upper tertile scores compared to lowest tertile); more severe symptoms (OR 4.8; 95% CI 1.7-13.0), being female (OR 2.2; 95% CI 1.2-4.3), those with higher education, and residence outside the metropolitan area (OR 2.1; 95% CI 1.1-4.0). Increasing patient participation in their own care is associated with better asthma management, independent of asthma symptoms. Longitudinal studies are needed to examine if increasing participation in decisions can also improve asthma outcomes.

  16. Use of the Diabetes Medication Choice Decision Aid in patients with type 2 diabetes in Greece: a cluster randomised trial

    PubMed Central

    Karagiannis, Thomas; Liakos, Aris; Branda, Megan E; Athanasiadou, Eleni; Mainou, Maria; Boura, Panagiota; Goulis, Dimitrios G; LeBlanc, Annie; Montori, Victor M

    2016-01-01

    Objective To assess the efficacy of the Diabetes Medication Choice Decision Aid among patients with type 2 diabetes in Greece. Design Open-label cluster randomised controlled trial. Setting Primary and secondary care practices across Greece. Participants 5 sites allocated to the decision aid (n=101 patients) and 4 sites to control (n=103 patients). Intervention Clinicians and patients in the intervention arm used a decision aid, based on outcomes that both consider important when choosing among antihyperglycaemic medications. Patients in the control arm received usual care. Outcome measures The primary outcome was patient's level of decisional comfort after the initial clinical encounter. Secondary outcomes included patient's knowledge about type 2 diabetes and medications, and patient's and clinician's satisfaction. Adherence to prescribed antihyperglycaemic medication and change in glycated haemoglobin were assessed at 24 weeks. Results Patients in both arms had similar scores in overall decisional comfort (mean difference between the usual care and decision aid arms −6.9, 95% CI −21.5 to 7.7) and its subscales. Patients' knowledge was high in both arms (mean difference 2.3%, 95% CI −15.7% to 20.4%). Patients and clinicians in both groups were equally satisfied with the decision-making. No significant difference in medication adherence and glycaemic control was found across arms. Clinicians found the decision aid useful and reported that its integration in their daily routine was easy. Conclusions The decision aid was implemented and positively received in the clinical setting in Greece, in line with the patient-centred approach endorsed by current guidelines. However, this trial yielded imprecise results in terms of patient outcomes. Further research is needed to investigate the interaction between the patient and the clinician in order to clarify the association between the use of decision aids and implementation of shared decision-making. Trial

  17. Triggering the decision to undergo medical male circumcision: a qualitative study of adult men in Botswana.

    PubMed

    Wirth, Kathleen E; Semo, Bazghina-Werq; Ntsuape, Conrad; Ramabu, Nankie M; Otlhomile, Boyce; Plank, Rebeca M; Barnhart, Scott; Ledikwe, Jenny H

    2016-08-01

    In 2007, the World Health Organization endorsed voluntary medical male circumcision (VMMC) as part of comprehensive HIV-prevention strategies. A major challenge facing VMMC programs in sub-Saharan Africa remains demand creation; there is urgent need for data on key elements needed to trigger the decision among eligible men to seek VMMC. Using qualitative methods, we sought to better understand the circumcision decision-making process in Botswana related to VMMC. From July to November 2013, we conducted 27 focus group discussions in four purposively selected communities in Botswana with men (stratified by circumcision status and age), women (stratified by age) and community leaders. All discussions were facilitated by a trained same-sex interviewer, audio recorded, transcribed and translated to English, and analyzed for key themes using an inductive content analytic approach. Improved hygiene was frequently cited as a major benefit of circumcision and many participants believed that cleanliness was directly responsible for the protective effect of VMMC on HIV infection. While protection against HIV was frequently noted as a benefit of VMMC, the data indicate that increased sexual pleasure and perceived attractiveness, not fear of HIV infection, was an underlying reason why men sought VMMC. Data from this qualitative study suggest that more immediate benefits of VMMC, such as improved hygiene and sexual pleasure, play a larger role in the circumcision decision compared with protection from potential HIV infection. These findings have immediate implications for targeted demand creation and mobilization activities for increasing uptake of VMMC among adult men in Botswana.

  18. From complex questionnaire and interviewing data to intelligent Bayesian Network models for medical decision support

    PubMed Central

    Constantinou, Anthony Costa; Fenton, Norman; Marsh, William; Radlinski, Lukasz

    2016-01-01

    Objectives 1) To develop a rigorous and repeatable method for building effective Bayesian network (BN) models for medical decision support from complex, unstructured and incomplete patient questionnaires and interviews that inevitably contain examples of repetitive, redundant and contradictory responses; 2) To exploit expert knowledge in the BN development since further data acquisition is usually not possible; 3) To ensure the BN model can be used for interventional analysis; 4) To demonstrate why using data alone to learn the model structure and parameters is often unsatisfactory even when extensive data is available. Method The method is based on applying a range of recent BN developments targeted at helping experts build BNs given limited data. While most of the components of the method are based on established work, its novelty is that it provides a rigorous consolidated and generalised framework that addresses the whole life-cycle of BN model development. The method is based on two original and recent validated BN models in forensic psychiatry, known as DSVM-MSS and DSVM-P. Results When employed with the same datasets, the DSVM-MSS demonstrated competitive to superior predictive performance (AUC scores 0.708 and 0.797) against the state-of-the-art (AUC scores ranging from 0.527 to 0.705), and the DSVM-P demonstrated superior predictive performance (cross-validated AUC score of 0.78) against the state-of-the-art (AUC scores ranging from 0.665 to 0.717). More importantly, the resulting models go beyond improving predictive accuracy and into usefulness for risk management purposes through intervention, and enhanced decision support in terms of answering complex clinical questions that are based on unobserved evidence. Conclusions This development process is applicable to any application domain which involves large-scale decision analysis based on such complex information, rather than based on data with hard facts, and in conjunction with the incorporation of

  19. Decisions by Finnish Medical Research Ethics Committees: A Nationwide Study of Process and Outcomes.

    PubMed

    Hemminki, Elina; Virtanen, Jorma I; Regushevskaya, Elena

    2015-10-01

    Review by research ethics committees (RECs) is the key in medical research regulation. Data from meeting notes and project summaries were abstracted from all projects submitted in 2002 (n = 1,004) and 2007 (n = 1,045) to the official medical RECs in Finland. Data from consecutive submissions were combined per project. When comparing RECs, logistic regression was used to adjust for application characteristics. The number of projects handled varied notably by REC. In the first handling, 85% of applications in 2002 and 77% in 2007 were approved, while 13% and 20% were tabled. For 61% of the projects, the review time was <30 days, 16% had >89 days, and 6% had 6 months or longer. The variation by REC in approval rates, number of handlings, or long review times was not explained by project characteristics. In the last handling, 94% of the projects in both years were approved or concluded not to need a statement from that REC. The most common reason for tabling or not approving an application was patient autonomy, usually centered on the patient leaflet. The next most common reasons were requests for further information and dissatisfaction with the scientific aspects of the project. The reasons classified as "ethics" in the narrow sense were rare. The REC focus was to assure that researchers follow the various rules on medical research and to improve the quality of research and project documents. REC considerations could be divided into decisions based on ethics and recommendations covering other aspects.

  20. MEDICAL AND LEGAL ISSUES OF THE DECISIONS RENDERED BY THE EUROPEAN COURT OF HUMAN RIGHTS.

    PubMed

    Chakhvadze, B; Chakhvadze, G

    2017-01-01

    The European Convention on Human rights is a document that protects human rights and fundamental freedoms of individuals, and the European Court of Human Rights and its case-law makes a convention a powerful instrument to meet the new challenges of modernity and protect the principles of rule of law and democracy. This is important, particularly for young democracies, including Georgia. The more that Georgia is a party to this convention. Article 3 of the convention deals with torture, inhuman and degrading treatment, while article 8 deals with private life, home and correspondence. At the same time, the international practice of the European court of human rights shows that these articles are often used with regard to medical rights. The paper highlights the most recent and interesting cases from the case-law of the ECHR, in which the courts conclusions are based solely on the European Convention on Human Rights. In most instances, the European Court of Human Rights uses the principle of democracy with regard to medical rights. The European court of human rights considers medical rights as moral underpinning rights. Particularly in every occasion, the European Court of Human Rights acknowledges an ethical dimension of these rights. In most instances, it does not matter whether a plaintiff is a free person or prisoner, the European court of human rights make decisions based on fundamental human rights and freedoms of individuals.

  1. What is a medical decision? A taxonomy based on physician statements in hospital encounters: a qualitative study

    PubMed Central

    Ofstad, Eirik H; Frich, Jan C; Schei, Edvin; Frankel, Richard M; Gulbrandsen, Pål

    2016-01-01

    Objective The medical literature lacks a comprehensive taxonomy of decisions made by physicians in medical encounters. Such a taxonomy might be useful in understanding the physician-centred, patient-centred and shared decision-making in clinical settings. We aimed to identify and classify all decisions emerging in conversations between patients and physicians. Design Qualitative study of video recorded patient–physician encounters. Participants and setting 380 patients in consultations with 59 physicians from 17 clinical specialties and three different settings (emergency room, ward round, outpatient clinic) in a Norwegian teaching hospital. A randomised sample of 30 encounters from internal medicine was used to identify and classify decisions, a maximum variation sample of 20 encounters was used for reliability assessments, and the remaining encounters were analysed to test for applicability across specialties. Results On the basis of physician statements in our material, we developed a taxonomy of clinical decisions—the Decision Identification and Classification Taxonomy for Use in Medicine (DICTUM). We categorised decisions into 10 mutually exclusive categories: gathering additional information, evaluating test results, defining problem, drug-related, therapeutic procedure-related, legal and insurance-related, contact-related, advice and precaution, treatment goal, and deferment. Four-coder inter-rater reliability using Krippendorff's α was 0.79. Conclusions DICTUM represents a precise, detailed and comprehensive taxonomy of medical decisions communicated within patient–physician encounters. Compared to previous normative frameworks, the taxonomy is descriptive, substantially broader and offers new categories to the variety of clinical decisions. The taxonomy could prove helpful in studies on the quality of medical work, use of time and resources, and understanding of why, when and how patients are or are not involved in decisions. PMID:26868946

  2. The Effects of Clinical Decision Support Systems on Medication Safety: An Overview

    PubMed Central

    Jia, Pengli; Zhang, Longhao; Chen, Jingjing; Zhao, Pujing; Zhang, Mingming

    2016-01-01

    Background The clinical decision support system(CDSS) has potential to improving medication safety. However, the effects of the intervention were conflicting and uncertain. Meanwhile, the reporting and methodological quality of this field were unknown. Objective The aim of this overview is to evaluate the effects of CDSS on medication safety and to examine the methodological and reporting quality. Methods PubMed, Embase and Cochrane Library were searched to August 2015. Systematic reviews (SRs) investigating the effects of CDSS on medication safety were included. Outcomes were determined in advance and assessed separately for process of care and patient outcomes. The methodological quality was assessed by Assessment of Multiple Systematic Reviews (AMSTAR) and the reporting quality was examined by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results Twenty systematic reviews, consisting of 237 unique randomized controlled trials(RCTs) and 176 non-RCTs were included. Evidence that CDSS significantly impacted process of care was found in 108 out of 143 unique studies of the 16 SRs examining this effect (75%). Only 18 out of 90 unique studies of the 13 SRs reported significantly evidence that CDSS positively impacted patient outcomes (20%). Ratings for the overall scores of AMSTAR resulted in a mean score of 8.3 with a range of scores from 7.5 to 10.5. The reporting quality was varied. Some contents were particularly strong. However, some contents were poor. Conclusions CDSS reduces medication error by obviously improving process of care and inconsistently improving patient outcomes. Larger samples and longer-term studies are required to ensure more reliable evidence base on the effects of CDSS on patient outcomes. The methodological and reporting quality were varied and some realms need to be improved. PMID:27977697

  3. [Medical decision making in hospital--results of an exploratory study on the value of shared decision making from the physicians point of view].

    PubMed

    Ernst, J; Holze, S; Sonnefeld, C; Götze, H; Schwarz, R

    2007-04-01

    The changes in the relationship between doctors and patients and the transfer of shared decision making into medical treatment has often been discussed. The role and the perspective of the patients are primarily described. The aim of our study is to examine the attitudes of physicians regarding the shared decision making concept, based on 15 interviews with clinical doctors. Our findings show that most doctors know the content of the concept and mostly agree with it. Practical barriers for the realisation of shared decision making are often stressed. The meaning of the concept of shared decision making for the physicians is in some respects different from the meaning of this concept for the patients. It is important to examine this concept more particularly with standardised instruments. It will be necessary to explore not only the role of patients and physicians in the medical decision making process but also the position of other relevant persons like the relatives of the patients or the nursing staff.

  4. Development of a decision support model for scheduling clinical studies and assigning medical personnel.

    PubMed

    Grunow, Martin; Günther, Hans-Otto; Yang, Gang

    2004-11-01

    Clinical studies for the development of new drugs in the pharmaceutical industry consist of a number of individual tasks which have to be carried out in a pre-defined chronological order. Each task requires certain types of medical personnel. This paper investigates the scheduling of clinical studies to be performed during a short-term planning horizon, the allocation of workforce between the studies, and the assignment of individual employees to tasks. Instead of developing a complex monolithic decision model, a hierarchical modelling approach is suggested. In the first stage, a compact integer optimization model is solved in order to determine the start-off times of the studies and the required staffing while taking the limited availability of personnel into account. The objective is to minimize total staffing costs. The assignment of individual employees to tasks is then made in the second stage of the procedure using a binary optimization model.

  5. Knowledge discovery from data as a framework to decision support in medical domains

    PubMed Central

    Gibert, Karina

    2009-01-01

    Introduction Knowledge discovery from data (KDD) is a multidisciplinary discipline which appeared in 1996 for “non trivial identifying of valid, novel, potentially useful, ultimately understandable patterns in data”. Pre-treatment of data and post-processing is as important as the data exploitation (Data Mining) itself. Different analysis techniques can be properly combined to produce explicit knowledge from data. Methods Hybrid KDD methodologies combining Artificial Intelligence with Statistics and visualization have been used to identify patterns in complex medical phenomena: experts provide prior knowledge (pK); it biases the search of distinguishable groups of homogeneous objects; support-interpretation tools (CPG) assisted experts in conceptualization and labelling of discovered patterns, consistently with pK. Results Patterns of dependency in mental disabilities supported decision-making on legislation of the Spanish Dependency Law in Catalonia. Relationships between type of neurorehabilitation treatment and patterns of response for brain damage are assessed. Patterns of the perceived QOL along time are used in spinal cord lesion to improve social inclusion. Conclusion Reality is more and more complex and classical data analyses are not powerful enough to model it. New methodologies are required including multidisciplinarity and stressing on production of understandable models. Interaction with the experts is critical to generate meaningful results which can really support decision-making, particularly convenient transferring the pK to the system, as well as interpreting results in close interaction with experts. KDD is a valuable paradigm, particularly when facing very complex domains, not well understood yet, like many medical phenomena.

  6. Safety-cost trade-offs in medical device reuse: a Markov decision process model.

    PubMed

    Sloan, Thomas W

    2007-02-01

    Healthcare expenditures in the US are approaching 2 trillion dollars, and hospitals and other healthcare providers are under tremendous pressure to rein in costs. One cost-saving approach which is gaining popularity is the reuse of medical devices which were designed only for a single use. Device makers decry this practice as unsanitary and unsafe, but a growing number of third-party firms are willing to sterilize, refurbish, and/or remanufacture devices and resell them to hospitals at a fraction of the original price. Is this practice safe? Is reliance on single-use devices sustainable? A Markov decision process (MDP) model is formulated to study the trade-offs involved in these decisions. Several key parameters are examined: device costs, device failure probabilities, and failure penalty cost. For each of these parameters, expressions are developed which identify the indifference point between using new and reprocessed devices. The results can be used to inform the debate on the economic, ethical, legal, and environmental dimensions of this complex issue.

  7. Integrating Client and Clinician Perspectives on Psychotropic Medication Decisions: Developing a Communication-Centered Epistemic Model of Shared Decision Making for Mental Health Contexts.

    PubMed

    Mikesell, Lisa; Bromley, Elizabeth; Young, Alexander S; Vona, Pamela; Zima, Bonnie

    2016-01-01

    Shared decision making (SDM) interventions aim to improve client autonomy, information sharing, and collaborative decision making, yet implementation of these interventions has been variably perceived. Using interviews and focus groups with clients and clinicians from mental health clinics, we explored experiences with and perceptions about decision support strategies aimed to promote SDM around psychotropic medication treatment. Using thematic analysis, we identified themes regarding beliefs about participant involvement, information management, and participants' broader understanding of their epistemic expertise. Clients and clinicians highly valued client-centered priorities such as autonomy and empowerment when making decisions. However, two frequently discussed themes revealed complex beliefs about what that involvement should look like in practice: (a) the role of communication and information exchange and (b) the value and stability of clinician and client epistemic expertise. Complex beliefs regarding these two themes suggested a dynamic and reflexive approach to information management. Situating these findings within the Theory of Motivated Information Management, we discuss implications for conceptualizing SDM in mental health services and adapt Siminoff and Step's Communication Model of Shared Decision Making (CMSDM) to propose a Communication-centered Epistemic Model of Shared Decision Making (CEM-SDM).

  8. Fuzzy Trace Theory and Medical Decisions by Minors: Differences in Reasoning between Adolescents and Adults

    PubMed Central

    Wilhelms, Evan A.

    2013-01-01

    Standard models of adolescent risk taking posit that the cognitive abilities of adolescents and adults are equivalent, and that increases in risk taking that occur during adolescence are the result of socio emotional differences in impulsivity, sensation seeking, and lack of self-control. Fuzzy-trace theory incorporates these socio emotional differences. However, it predicts that there are also cognitive differences between adolescents and adults, specifically that there are developmental increases in gist-based intuition that reflects understanding. Gist understanding, as opposed to verbatim-based analysis, generally has been hypothesized to have a protective effect on risk taking in adolescence. Gist understanding is also an essential element of informed consent regarding risks in medical decision- making. Evidence thus supports the argument that adolescents’ status as mature minors should be treated as an exception rather than a presumption, because accuracy in verbatim analysis is not mature gist understanding. Use of the exception should be accompanied by medical experts’ input on the bottom-line gist of risks involved in treatment. PMID:23606728

  9. Emergency medical triage decisions are swayed by computer-manipulated cues of physical dominance in caller’s voice

    PubMed Central

    Boidron, Laurent; Boudenia, Karim; Avena, Christophe; Boucheix, Jean-Michel; Aucouturier, Jean-Julien

    2016-01-01

    In humans as well as other animals, displays of body strength such as power postures or deep masculine voices are associated with prevalence in conflicts of interest and facilitated access to resources. We conduct here an ecological and highly critical test of this hypothesis in a domain that, on first thought, would appear to be shielded from such influences: access to emergency medical care. Using acoustic manipulations of vocal masculinity, we systematically varied the perceived level of physical dominance of mock patients calling a medical call center simulator. Callers whose voice were perceived as indicative of physical dominance (i.e. those with low fundamental and formant frequency voices) obtained a higher grade of response, a higher evaluation of medical emergency and longer attention from physicians than callers with strictly identical medical needs whose voice signaled lower physical dominance. Strikingly, while the effect was important for physician participants, it was virtually non-existent when calls were processed by non-medically-trained phone operators. This finding demonstrates an unprecedented degree of vulnerability of telephone-based medical decisions to extra-medical factors carried by vocal cues, and shows that it may not simply be assumed that more medical training will shield decisions from such influences. PMID:27456205

  10. Critical thinking about adverse drug effects: lessons from the psychology of risk and medical decision-making for clinical psychopharmacology.

    PubMed

    Nierenberg, Andrew A; Smoller, Jordan W; Eidelman, Polina; Wu, Yelena P; Tilley, Claire A

    2008-01-01

    Systematic biases in decision-making have been well characterized in medical and nonmedical fields but mostly ignored in clinical psychopharmacology. The purpose of this paper is to sensitize clinicians who prescribe psychiatric drugs to the issues of the psychology of risk, especially as they pertain to the risk of side effects. Specifically, the present analysis focuses on heuristic organization and framing effects that create cognitive biases in medical practice. Our purpose is to increase the awareness of how pharmaceutical companies may influence physicians by framing the risk of medication side effects to favor their products.

  11. Optimal Medical Equipment Maintenance Service Proposal Decision Support System combining Activity Based Costing (ABC) and the Analytic Hierarchy Process (AHP).

    PubMed

    da Rocha, Leticia; Sloane, Elliot; M Bassani, Jose

    2005-01-01

    This study describes a framework to support the choice of the maintenance service (in-house or third party contract) for each category of medical equipment based on: a) the real medical equipment maintenance management system currently used by the biomedical engineering group of the public health system of the Universidade Estadual de Campinas located in Brazil to control the medical equipment maintenance service, b) the Activity Based Costing (ABC) method, and c) the Analytic Hierarchy Process (AHP) method. Results show the cost and performance related to each type of maintenance service. Decision-makers can use these results to evaluate possible strategies for the categories of equipment.

  12. An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification.

    PubMed

    Siddiqui, Muhammad Faisal; Reza, Ahmed Wasif; Kanesan, Jeevan

    2015-01-01

    A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the human brain magnetic resonance image (MRI) as normal or abnormal, to cater down the human error during identifying the diseases in brain MRIs. In this study, fast discrete wavelet transform (DWT), principal component analysis (PCA), and least squares support vector machine (LS-SVM) are used as basic components. Firstly, fast DWT is employed to extract the salient features of brain MRI, followed by PCA, which reduces the dimensions of the features. These reduced feature vectors also shrink the memory storage consumption by 99.5%. At last, an advanced classification technique based on LS-SVM is applied to brain MR image classification using reduced features. For improving the efficiency, LS-SVM is used with non-linear radial basis function (RBF) kernel. The proposed algorithm intelligently determines the optimized values of the hyper-parameters of the RBF kernel and also applied k-fold stratified cross validation to enhance the generalization of the system. The method was tested by 340 patients' benchmark datasets of T1-weighted and T2-weighted scans. From the analysis of experimental results and performance comparisons, it is observed that the proposed medical decision support system outperformed all other modern classifiers and achieves 100% accuracy rate (specificity/sensitivity 100%/100%). Furthermore, in terms of computation time, the proposed technique is significantly faster than the recent well-known methods, and it improves the efficiency by 71%, 3%, and 4% on feature extraction stage, feature reduction stage, and classification stage, respectively. These results indicate that the proposed well-trained machine learning system has the potential to make accurate predictions about brain abnormalities from the

  13. Impact of decision support in electronic medical records on lipid management in primary care.

    PubMed

    Gill, James M; Chen, Ying Xia; Glutting, Joseph J; Diamond, James J; Lieberman, Michael I

    2009-10-01

    Electronic decision-support tools may help to improve management of hyperlipidemia and other chronic diseases. This study examined the impact of lipid management tools integrated into an electronic medical record (EMR) in primary care practices. This randomized controlled trial was conducted in a national network of physicians who use an outpatient EMR. Adult primary care physicians were randomized by office to receive an electronic form that was embedded in the EMR. The form contained prompts regarding suboptimal care based on Adult Treatment Panel-III (ATP-III) guidelines, as well as reporting tools to identify patients outside of office visits whose lipid management was suboptimal. All active patients, ages 20-79 years, whose physicians participated in the study, were categorized as high, moderate, or low cardiovascular risk, and the proportion who were tested for hyperlipidemia, at lipid goal, and on lipid-lowering medications if not at goal were measured according to ATP-III guidelines. A total of 105 physicians from 25 offices and 64,150 patients were included in the study. Outcomes improved for most measures from before to 1 year after the intervention (November 1, 2005 to October 31, 2006). However, after controlling for confounding variables and for clustering in multilevel modeling, only up-to-date lipid testing for high-risk patients was statistically better in the intervention group as compared to the control group (adjusted odds ratio 15.0, P < 0.05). This study showed few differences in quality of lipid management after implementing an EMR-based disease management intervention in primary care settings. Future studies may need to examine more comprehensive interventions that include office staff in a team approach to care.

  14. A markov decision process model for the optimal dispatch of military medical evacuation assets.

    PubMed

    Keneally, Sean K; Robbins, Matthew J; Lunday, Brian J

    2016-06-01

    We develop a Markov decision process (MDP) model to examine aerial military medical evacuation (MEDEVAC) dispatch policies in a combat environment. The problem of deciding which aeromedical asset to dispatch to each service request is complicated by the threat conditions at the service locations and the priority class of each casualty event. We assume requests for MEDEVAC support arrive sequentially, with the location and the priority of each casualty known upon initiation of the request. The United States military uses a 9-line MEDEVAC request system to classify casualties as being one of three priority levels: urgent, priority, and routine. Multiple casualties can be present at a single casualty event, with the highest priority casualty determining the priority level for the casualty event. Moreover, an armed escort may be required depending on the threat level indicated by the 9-line MEDEVAC request. The proposed MDP model indicates how to optimally dispatch MEDEVAC helicopters to casualty events in order to maximize steady-state system utility. The utility gained from servicing a specific request depends on the number of casualties, the priority class for each of the casualties, and the locations of both the servicing ambulatory helicopter and casualty event. Instances of the dispatching problem are solved using a relative value iteration dynamic programming algorithm. Computational examples are used to investigate optimal dispatch policies under different threat situations and armed escort delays; the examples are based on combat scenarios in which United States Army MEDEVAC units support ground operations in Afghanistan.

  15. Novel Architecture for supporting medical decision making of different data types based on Fuzzy Cognitive Map Framework.

    PubMed

    Papageorgiou, Elpiniki; Stylios, Chrysostomos; Groumpos, Peter

    2007-01-01

    Medical problems involve different types of variables and data, which have to be processed, analyzed and synthesized in order to reach a decision and/or conclude to a diagnosis. Usually, information and data set are both symbolic and numeric but most of the well-known data analysis methods deal with only one kind of data. Even when fuzzy approaches are considered, which are not depended on the scales of variables, usually only numeric data is considered. The medical decision support methods usually are accessed in only one type of available data. Thus, sophisticated methods have been proposed such as integrated hybrid learning approaches to process symbolic and numeric data for the decision support tasks. Fuzzy Cognitive Maps (FCM) is an efficient modelling method, which is based on human knowledge and experience and it can handle with uncertainty and it is constructed by extracted knowledge in the form of fuzzy rules. The FCM model can be enhanced if a fuzzy rule base (IF-THEN rules) is available. This rule base could be derived by a number of machine learning and knowledge extraction methods. Here it is introduced a hybrid attempt to handle situations with different types of available medical and/or clinical data and with difficulty to handle them for decision support tasks using soft computing techniques.

  16. Effect of training problem-solving skill on decision-making and critical thinking of personnel at medical emergencies

    PubMed Central

    Heidari, Mohammad; Shahbazi, Sara

    2016-01-01

    Background: The aim of this study was to determine the effect of problem-solving training on decision-making skill and critical thinking in emergency medical personnel. Materials and Methods: This study is an experimental study that performed in 95 emergency medical personnel in two groups of control (48) and experimental (47). Then, a short problem-solving course based on 8 sessions of 2 h during the term, was performed for the experimental group. Of data gathering was used demographic and researcher made decision-making and California critical thinking skills questionnaires. Data were analyzed using SPSS software. Results: The finding revealed that decision-making and critical thinking score in emergency medical personnel are low and problem-solving course, positively affected the personnel’ decision-making skill and critical thinking after the educational program (P < 0.05). Conclusions: Therefore, this kind of education on problem-solving in various emergency medicine domains such as education, research, and management, is recommended. PMID:28149823

  17. [Patient participation in medical decision making within an integrated health care system in Germany: results of a controlled cohort study].

    PubMed

    Hölzel, L P; Vollmer, M; Kriston, L; Siegel, A; Härter, M

    2012-11-01

    An integrated health care project called "Gesundes Kinzigtal" was conducted in a rural area in Germany. As part of the project, physicians were trained and other measures were taken to enhance patient involvement in medical decision making. As part of the external evaluation, various effects regarding patient involvement in medical decision making, patient involvement and information preference, decision confidence, patient satisfaction with ambulatory care and patient quality of life were examined. The data were gathered by means of a questionnaire on an annual basis between 2007 and 2009. Effects were compared between patients who were participating in the integrated care project and two control groups. Analyses are based on the data of 1,205 patients. Over time all outcomes decreased slightly, except for information preference and physical quality of life. No statistically significant intervention effects on patient involvement in medical decision making or any other outcome variable could be found. The intensity of the training was presumably too low to establish an enduring change in the physician-patient interaction.

  18. Decision making, beliefs, and attitudes toward hysterectomy: a focus group study with medically underserved women in Texas.

    PubMed

    Groff, J Y; Mullen, P D; Byrd, T; Shelton, A J; Lees, E; Goode, J

    2000-01-01

    Variations in hysterectomy rates have been associated with assorted physician and patient characteristics, and the disproportionate rate of hysterectomies in African American women has been attributed to a higher prevalence of leiomyomas. The role of women's beliefs and attitudes toward hysterectomy and participation in decision making for medical treatment has not been explored as a source of variance. The purposes of this qualitative study were to explore these constructs in a triethnic sample of women to understand beliefs, attitudes, and decision-making preferences among underserved women; to facilitate development of a quantitative survey; and to inform development of interventions to assist women with such medical decisions. Twenty-three focus groups were conducted with 148 women from community sites and public health clinics. Thirteen self-identified lesbians participated in three groups. Analysis of audiotaped transcripts yielded four main themes: perceived outcomes of hysterectomy, perceived views of men/partners, opinions about healthcare providers, decision-making process. Across groups, the women expressed similar expectations from hysterectomy, differing only in the degree to which dimensions were emphasized. The women thought men perceived women with hysterectomy as less desirable for reasons unrelated to childbearing. Attitudes toward physicians were negative except among Hispanic women. All women expressed a strong desire to be involved in elective treatment decisions and would discuss their choice with important others. Implications for intervention development include enhancing women's skills and confidence to evaluate treatment options and to interact with physicians around treatment choices and creation of portable educational components for important others.

  19. Accuracy enhancement in a fuzzy expert decision making system through appropriate determination of membership functions and its application in a medical diagnostic decision making system.

    PubMed

    Das, Suddhasattwa; Roy Chowdhury, Shubhajit; Saha, Hiranmay

    2012-06-01

    The paper attempts to improve the accuracy of a fuzzy expert decision making system by tuning the parameters of type-2 sigmoid membership functions of fuzzy input variables and hence determining the most appropriate type-1 membership function. The current work mathematically models the variability of human decision making process using type-2 fuzzy sets. Moreover, an index of accuracy of a fuzzy expert system has been proposed and determined analytically. It has also been ascertained that there exists only one rule in the rule base whose associated mapping for the ith linguistic variable maps to the same value as the maximum value of the membership function for the ith linguistic variable. The improvement in decision making accuracy was successfully verified in a medical diagnostic decision making system for renal diagnostic applications. Based on the accuracy estimations applied over a set of pathophysiological parameters, viz. body mass index, glucose, urea, creatinine, systolic and diastolic blood pressure, appropriate type-1 fuzzy sets of these parameters have been determined assuming normal distribution of type-1 membership function values in type-2 fuzzy sets. The type-1 fuzzy sets so determined have been used to develop an FPGA based smart processor. Using the processor, renal diagnosis of patients has been performed with an accuracy of 98.75%.

  20. Patients' participation in decision-making in the medical field--'projectification' of patients in a neoliberal framed healthcare system.

    PubMed

    Glasdam, Stinne; Oeye, Christine; Thrysoee, Lars

    2015-10-01

    This article focuses on patients' participation in decision-making in meetings with healthcare professionals in a healthcare system, based on neoliberal regulations and ideas. Drawing on two constructed empirical cases, primarily from the perspective of patients, this article analyses and discusses the clinical practice around decision-making meetings within a Foucauldian perspective. Patients' participation in decision-making can be seen as an offshoot of respect for patient autonomy. A treatment must be chosen, when patients consult physicians. From the perspective of patients, there is a tendency for healthcare professionals to supply the patients with the information that they think are necessary for them to make their own decision. But patients do not always want to be a 'customer' in the healthcare system; they want to be a patient, consulting an expert for help and advice, which creates resistance to some parts of the decision-making process. Both professionals and patients are subject to the structural frame of the medical field, formed of both neoliberal framework and medical logic. The decision-making competence in relation to the choice of treatment is placed away from the professionals and seen as belonging to the patient. A 'projectification' of the patient occurs, whereby the patient becomes responsible for his/her choices in treatment and care and the professionals support him/her with knowledge, preferences, and alternative views, out of which he/she must make his/her own choices, and the responsibility for those choices now and in the future. At the same time, there is a tendency towards de-professionalization. In that light, participation of patients in decision-making can be regarded as a tacit governmentality strategy that shapes the location of responsibility between individual and society, and independent patients and healthcare professionals, despite the basically desirable, appropriate, and necessary idea of involving patients in their own

  1. Towards case-based medical learning in radiological decision making using content-based image retrieval

    PubMed Central

    2011-01-01

    Background Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack integration into the clinical environment with a proper learning scenario. Consequently, diagnostic training systems advancing decision-making skills are not well established in radiological education. Methods We investigated didactic concepts and appraised methods appropriate to the radiology domain, as follows: (i) Adult learning theories stress the importance of work-related practice gained in a team of problem-solvers; (ii) Case-based reasoning (CBR) parallels the human problem-solving process; (iii) Content-based image retrieval (CBIR) can be useful for computer-aided diagnosis (CAD). To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE). The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL). In order to provide a learning environment that is as similar as possible to radiological practice, we have analysed the radiological workflow and environment. Results We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA) framework, resulting in the proposed concept of the IRMAdiag training application. IRMAdiag makes use of the modular structure of IRMA and comprises (i) the IRMA core, i.e., the IRMA CBIR engine; and (ii) the IRMAcon viewer. We propose embedding IRMAdiag into hospital information technology (IT) infrastructure using the standard protocols Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven (HL7). Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system. Conclusions The IBCR-RE paradigm incorporates a

  2. From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data.

    PubMed

    Thompson, Steven; Varvel, Stephen; Sasinowski, Maciek; Burke, James P

    2016-09-01

    Big data and advances in analytical processes represent an opportunity for the healthcare industry to make better evidence-based decisions on the value generated by various tests, procedures, and interventions. Value-based reimbursement is the process of identifying and compensating healthcare providers based on whether their services improve quality of care without increasing cost of care or maintain quality of care while decreasing costs. In this article, we motivate and illustrate the potential opportunities for payers and providers to collaborate and evaluate the clinical and economic efficacy of different healthcare services. We conduct a case study of a firm that offers advanced biomarker and disease state management services for cardiovascular and cardiometabolic conditions. A value-based analysis that comprised a retrospective case/control cohort design was conducted, and claims data for over 7000 subjects who received these services were compared to a matched control cohort. Study subjects were commercial and Medicare Advantage enrollees with evidence of CHD, diabetes, or a related condition. Analysis of medical claims data showed a lower proportion of patients who received biomarker testing and disease state management services experienced a MI (p < 0.01) or diabetic complications (p < 0.001). No significant increase in cost of care was found between the two cohorts. Our results illustrate the opportunity healthcare payers such as Medicare and commercial insurance companies have in terms of identifying value-creating healthcare interventions. However, payers and providers also need to pursue system integration efforts to further automate the identification and dissemination of clinically and economically efficacious treatment plans to ensure at-risk patients receive the treatments and interventions that will benefit them the most.

  3. Innovative medical devices and hospital decision making: a study comparing the views of hospital pharmacists and physicians.

    PubMed

    Billaux, Mathilde; Borget, Isabelle; Prognon, Patrice; Pineau, Judith; Martelli, Nicolas

    2016-06-01

    Objectives Many university hospitals have developed local health technology assessment processes to guide informed decisions about new medical devices. However, little is known about stakeholders' perceptions and assessment of innovative devices. Herein, we investigated the perceptions regarding innovative medical devices of their chief users (physicians and surgeons), as well as those of hospital pharmacists, because they are responsible for the purchase and management of sterile medical devices. We noted the evaluation criteria used to assess and select new medical devices and suggestions for improving local health technology assessment processes indicated by the interviewees. Methods We randomly selected 18 physicians and surgeons (nine each) and 18 hospital pharmacists from 18 French university hospitals. Semistructured interviews were conducted between October 2012 and August 2013. Responses were coded separately by two researchers. Results Physicians and surgeons frequently described innovative medical devices as 'new', 'safe' and 'effective', whereas hospital pharmacists focused more on economic considerations and considered real innovative devices to be those for which no equivalent could be found on the market. No significant difference in evaluation criteria was found between these groups of professionals. Finally, hospital pharmacists considered the management of conflicts of interests in local health technology assessment processes to be an issue, whereas physicians and surgeons did not. Conclusions The present study highlights differences in perceptions related to professional affiliation. The findings suggest several ways in which current practices for local health technology assessment in French university hospitals could be improved and studied. What is known about the topic? Hospitals are faced with ever-growing demands for innovative and costly medical devices. To help hospital management deal with technology acquisition issues, hospital

  4. Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

    PubMed

    Shen, Ying; Colloc, Joël; Jacquet-Andrieu, Armelle; Lei, Kai

    2015-08-01

    This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts.

  5. Recovery and Resilience After a Nuclear Power Plant Disaster: A Medical Decision model for Managing an Effective, Timely, and Balanced Response

    SciTech Connect

    Coleman, C. Norman; Blumenthal, Daniel J.

    2013-05-01

    Based on experiences in Tokyo responding to the Fukushima Daiichi nuclear power plant crisis, a real-time, medical decision model is presented by which to make key health-related decisions given the central role of health and medical issues in such disasters. Focus is on response and recovery activities that are safe, timely, effective, and well-organized. This approach empowers on-site decision makers to make interim decisions without undue delay using readily available and high-level scientific, medical, communication, and policy expertise. Key features of this approach include ongoing assessment, consultation, information, and adaption to the changing conditions. This medical decision model presented is compatible with the existing US National Response Framework structure.

  6. Practical considerations to guide development of access controls and decision support for genetic information in electronic medical records

    PubMed Central

    2011-01-01

    Background Genetic testing is increasingly used as a tool throughout the health care system. In 2011 the number of clinically available genetic tests is approaching 2,000, and wide variation exists between these tests in their sensitivity, specificity, and clinical implications, as well as the potential for discrimination based on the results. Discussion As health care systems increasingly implement electronic medical record systems (EMRs) they must carefully consider how to use information from this wide spectrum of genetic tests, with whom to share information, and how to provide decision support for clinicians to properly interpret the information. Although some characteristics of genetic tests overlap with other medical test results, there are reasons to make genetic test results widely available to health care providers and counterbalancing reasons to restrict access to these test results to honor patient preferences, and avoid distracting or confusing clinicians with irrelevant but complex information. Electronic medical records can facilitate and provide reasonable restrictions on access to genetic test results and deliver education and decision support tools to guide appropriate interpretation and use. Summary This paper will serve to review some of the key characteristics of genetic tests as they relate to design of access control and decision support of genetic test information in the EMR, emphasizing the clear need for health information technology (HIT) to be part of optimal implementation of genetic medicine, and the importance of understanding key characteristics of genetic tests when designing HIT applications. PMID:22047175

  7. Initiating decision-making in neurology consultations: 'recommending' versus 'option-listing' and the implications for medical authority.

    PubMed

    Toerien, Merran; Shaw, Rebecca; Reuber, Markus

    2013-07-01

    This article compares two practices for initiating treatment decision-making, evident in audio-recorded consultations between a neurologist and 13 patients in two hospital clinics in the UK. We call these 'recommending' and 'option-listing'. The former entails making a proposal to do something; the latter entails the construction of a list of options. Using conversation analysis (CA), we illustrate each, showing that the distinction between these two practices matters to participants. Our analysis centres on two distinctions between the practices: epistemic differences and differences in the slots each creates for the patient's response. Considering the implications of our findings for understanding medical authority, we argue that option-listing - relative to recommending - is a practice whereby clinicians work to relinquish a little of their authority. This article contributes, then, to a growing body of CA work that offers a more nuanced, tempered account of medical authority than is typically portrayed in the sociological literature. We argue that future CA studies should map out the range of ways - in addition to recommending - in which treatment decision-making is initiated by clinicians. This will allow for further evidence-based contributions to debates on the related concepts of patient participation, choice, shared decision-making and medical authority.

  8. The sensitivity of medical diagnostic decision-support knowledge bases in delineating appropriate terms to document in the medical record.

    PubMed Central

    Feldman, M. J.; Barnett, G. O.; Morgan, M. M.

    1991-01-01

    A pertinent, legible and complete medical record facilitates good patient care. The recording of the symptoms, signs and lab findings which are relevant to a patient's condition contributes importantly to the medical record. The consideration and documentation of other disease states known to be related to the patient's primary illness provide further enhancement. We propose that developing sets of disease-specific core elements which a physician may want to document in the medical record can have many benefits. We hypothesize that for a given disease, terms with high importance (TI) and frequency (TF) in the DX-plain, QMR and Iliad knowledge bases (KBs) are terms which are used commonly in the medical record, and may be, in fact, terms which physicians would find useful to document. A study was undertaken to validate ten such sets of disease-specific core elements. For each of ten prevalent diseases, high TI and TF terms from the three KBs mentioned were pooled to derive the set of core elements. For each disease, all patient records (range 385 to 16,972) from a computerized ambulatory medical record database were searched to document the actual use by physicians of each of these core elements. A significant percentage (range 50 to 86%) of each set of core elements was confirmed as being used by the physicians. In addition, all medical concepts from a selection of full text records were identified, and an average of 65% of the concepts were found to be core elements.(ABSTRACT TRUNCATED AT 250 WORDS) PMID:1807600

  9. The Use of Art in the Medical Decision-Making Process of Oncology Patients

    ERIC Educational Resources Information Center

    Czamanski-Cohen, Johanna

    2012-01-01

    The introduction of written informed consent in the 1970s created expectations of shared decision making between doctors and patients that has led to decisional conflict for some patients. This study utilized a collaborative, intrinsic case study approach to the decision-making process of oncology patients who participated in an open art therapy…

  10. How Usability of a Web-Based Clinical Decision Support System Has the Potential to Contribute to Adverse Medical Events

    PubMed Central

    Graham, Timothy A.D.; Kushniruk, Andre W.; Bullard, Michael J.; Holroyd, Brian R.; Meurer, David P.; Rowe, Brian H.

    2008-01-01

    Introduction Clinical decision support systems (CDSS) have the potential to reduce adverse medical events, but improper design can introduce new forms of error. CDSS pertaining to community acquired pneumonia and neutropenic fever were studied to determine whether usability of the graphical user interface might contribute to potential adverse medical events. Methods Automated screen capture of 4 CDSS being used by volunteer emergency physicians was analyzed using structured methods. Results 422 events were recorded over 56 sessions. In total, 169 negative comments, 55 positive comments, 130 neutral comments, 21 application events, 34 problems, 6 slips, and 5 mistakes were identified. Three mistakes could have had life-threatening consequences. Conclusion Evaluation of CDSS will be of utmost importance in the future with increasing use of electronic health records. Usability engineering principles can identify interface problems that may lead to potential medical adverse events, and should be incorporated early in the software design phase. PMID:18998968

  11. Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making

    PubMed Central

    Beam, Andrew L.; Kartoun, Uri; Pai, Jennifer K.; Chatterjee, Arnaub K.; Fitzgerald, Timothy P.; Shaw, Stanley Y.; Kohane, Isaac S.

    2017-01-01

    Insomnia remains under-diagnosed and poorly treated despite its high economic and social costs. Though previous work has examined how patient characteristics affect sleep medication prescriptions, the role of physician characteristics that influence this clinical decision remains unclear. We sought to understand patient and physician factors that influence sleep medication prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical notes as well as codified data. Zolpidem and trazodone were the most widely prescribed initial sleep medication in a cohort of 1,105 patients. Some providers showed a historical preference for one medication, which was highly predictive of their future prescribing behavior. Using a predictive model (AUC = 0.77), physician preference largely determined which medication a patient received (OR = 3.13; p = 3 × 10−37). In addition to the dominant effect of empirically determined physician preference, discussion of depression in a patient’s note was found to have a statistically significant association with receiving a prescription for trazodone (OR = 1.38, p = 0.04). EMR data can yield insights into physician prescribing behavior based on real-world physician-patient interactions. PMID:28181568

  12. Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making

    NASA Astrophysics Data System (ADS)

    Beam, Andrew L.; Kartoun, Uri; Pai, Jennifer K.; Chatterjee, Arnaub K.; Fitzgerald, Timothy P.; Shaw, Stanley Y.; Kohane, Isaac S.

    2017-02-01

    Insomnia remains under-diagnosed and poorly treated despite its high economic and social costs. Though previous work has examined how patient characteristics affect sleep medication prescriptions, the role of physician characteristics that influence this clinical decision remains unclear. We sought to understand patient and physician factors that influence sleep medication prescribing patterns by analyzing Electronic Medical Records (EMRs) including the narrative clinical notes as well as codified data. Zolpidem and trazodone were the most widely prescribed initial sleep medication in a cohort of 1,105 patients. Some providers showed a historical preference for one medication, which was highly predictive of their future prescribing behavior. Using a predictive model (AUC = 0.77), physician preference largely determined which medication a patient received (OR = 3.13 p = 3 × 10‑37). In addition to the dominant effect of empirically determined physician preference, discussion of depression in a patient’s note was found to have a statistically significant association with receiving a prescription for trazodone (OR = 1.38, p = 0.04). EMR data can yield insights into physician prescribing behavior based on real-world physician-patient interactions.

  13. The Evolution of Patient Decision-Making Regarding Medical Treatment of Rheumatoid Arthritis

    PubMed Central

    Mathews, Alexandra L.; Coleska, Adriana; Burns, Patricia B.; Chung, Kevin C.

    2016-01-01

    Background The migration of health care toward a consumer driven system favors increased patient participation during the treatment decision-making process. Patient involvement in treatment decision discussions has been linked to increased treatment adherence and patient satisfaction. Previous studies have quantified decision-making styles of patients with Rheumatoid Arthritis (RA); however, none have considered the evolution in patient involvement after living with RA for decades. Objective We conducted a qualitative study to determine the decision-making model used by long-term RA patients, and to describe the changes in their involvement over time. Methods Twenty participants were recruited from the ongoing Silicone Arthroplasty in Rheumatoid Arthritis (SARA) study. Semi-structured interviews were conducted and data were analyzed using Grounded Theory methodology. Results Nineteen out of 20 participants recalled using the paternalistic decision-making model immediately following their diagnosis. Fourteen of the 19 interviewees evolved to shared decision-making (SDM). Participants attributed the change in involvement to the development of a trusting relationship with their physician as well as becoming educated about the disease. Conclusion When initially diagnosed with RA, patients may let their physician decide on the best treatment course. However, over time patients may evolve to exercise a more collaborative role. Physicians should understand that even within SDM, each patient can demonstrate a varied amount of autonomy. It is up to the physician to have a discussion with each patient to determine his or her desired level of involvement. PMID:26315611

  14. Nursing Home Stakeholder Views of Resident Involvement in Medical Care Decisions.

    PubMed

    Garcia, Theresa J; Harrison, Tracie C; Goodwin, James S

    2016-04-01

    Demand by nursing home residents for involvement in their medical care, or, patient-centered care, is expected to increase as baby boomers begin seeking long-term care for their chronic illnesses. To explore the needs in meeting this proposed demand, we used a qualitative descriptive method with content analysis to obtain the joint perspective of key stakeholders on the current state of person-centered medical care in the nursing home. We interviewed 31 nursing home stakeholders: 5 residents, 7 family members, 8 advanced practice registered nurses, 5 physicians, and 6 administrators. Our findings revealed constraints placed by the long-term care system limited medical involvement opportunities and created conflicting goals for patient-centered medical care. Resident participation in medical care was perceived as low, but important. The creation of supportive educational programs for all stakeholders to facilitate a common goal for nursing home admission and to provide assistance through the long-term care system was encouraged.

  15. Decision-Making after Prenatal Diagnosis of a Syndrome Predisposing to Intellectual Disability: What Prospective Parents Need to Know and the Importance of Non-Medical Information

    ERIC Educational Resources Information Center

    Huyard, Caroline

    2012-01-01

    Background: Recently researchers have suggested that non-medical information may impact the decision to continue or terminate a pregnancy after a prenatal diagnosis. This study is an investigation of what type of information prospective parents need for this decision-making in the case of a condition predisposing to intellectual disability.…

  16. 38 CFR 1.484 - Disclosure of medical information to the surrogate of a patient who lacks decision-making capacity.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... information to the surrogate of a patient who lacks decision-making capacity. 1.484 Section 1.484 Pensions... Patient Consent § 1.484 Disclosure of medical information to the surrogate of a patient who lacks decision... immunodeficiency virus, or sickle cell anemia to a surrogate of the patient who is the subject of such record...

  17. 38 CFR 1.484 - Disclosure of medical information to the surrogate of a patient who lacks decision-making capacity.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... information to the surrogate of a patient who lacks decision-making capacity. 1.484 Section 1.484 Pensions... Patient Consent § 1.484 Disclosure of medical information to the surrogate of a patient who lacks decision... immunodeficiency virus, or sickle cell anemia to a surrogate of the patient who is the subject of such record...

  18. 38 CFR 1.484 - Disclosure of medical information to the surrogate of a patient who lacks decision-making capacity.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... information to the surrogate of a patient who lacks decision-making capacity. 1.484 Section 1.484 Pensions... Patient Consent § 1.484 Disclosure of medical information to the surrogate of a patient who lacks decision... immunodeficiency virus, or sickle cell anemia to a surrogate of the patient who is the subject of such record...

  19. 38 CFR 1.484 - Disclosure of medical information to the surrogate of a patient who lacks decision-making capacity.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... information to the surrogate of a patient who lacks decision-making capacity. 1.484 Section 1.484 Pensions... Patient Consent § 1.484 Disclosure of medical information to the surrogate of a patient who lacks decision... immunodeficiency virus, or sickle cell anemia to a surrogate of the patient who is the subject of such record...

  20. Trends in medical end-of-life decision making in Flanders, Belgium 1998-2001-2007.

    PubMed

    Chambaere, Kenneth; Bilsen, Johan; Cohen, Joachim; Onwuteaka-Philipsen, Bregje D; Mortier, Freddy; Deliens, Luc

    2011-01-01

    In 2002, Belgium saw the enactment of 3 laws concerning euthanasia, palliative care, and patient rights that are likely to affect end-of-life decision making. This report examines trends in the occurrence and decision-making process of end-of-life practices in different patient groups since these legal changes. A large-scale retrospective survey in Flanders, Belgium, previously conducted in 1998 and 2001, was repeated in 2007. Questionnaires regarding end-of-life practices and the preceding decision-making process were mailed to physicians who certified a representative sample (N = 6927) of death certificates. The 2007 response rate was 58.4%. In patient groups in which the prevalence of life-ending drug use without explicit patient request has dropped, performance of euthanasia and assisted suicide has increased. The consistent increase in intensified pain and symptom alleviation was found in all patient groups except cancer patients. In 2007, competent patients were slightly more often involved in the discussion of end-of-life practices than in previous years. Over the years, involvement of the patient in decision making was consistently more likely among younger patients, cancer patients, and those dying at home. Physicians consulted their colleagues more often than in previous years for euthanasia and nontreatment decisions. The euthanasia law and emerging palliative care culture have substantially affected the occurrence and decision making for end-of-life practices in Belgium. Efforts are still needed to encourage shared end-of-life decision making, as some patients would benefit from advance care planning.

  1. Emotion and Value in the Evaluation of Medical Decision-Making Capacity: A Narrative Review of Arguments

    PubMed Central

    Hermann, Helena; Trachsel, Manuel; Elger, Bernice S.; Biller-Andorno, Nikola

    2016-01-01

    Ever since the traditional criteria for medical decision-making capacity (understanding, appreciation, reasoning, evidencing a choice) were formulated, they have been criticized for not taking sufficient account of emotions or values that seem, according to the critics and in line with clinical experiences, essential to decision-making capacity. The aim of this paper is to provide a nuanced and structured overview of the arguments provided in the literature emphasizing the importance of these factors and arguing for their inclusion in competence evaluations. Moreover, a broader reflection on the findings of the literature is provided. Specific difficulties of formulating and measuring emotional and valuational factors are discussed inviting reflection on the possibility of handling relevant factors in a more flexible, case-specific, and context-specific way rather than adhering to a rigid set of operationalized criteria. PMID:27303329

  2. Implementation of virtual medical record object model for a standards-based clinical decision support rule engine.

    PubMed

    Huang, Christine; Noirot, Laura A; Heard, Kevin M; Reichley, Richard M; Dunagan, Wm Claiborne; Bailey, Thomas C

    2006-01-01

    The Virtual Medical Record (vMR) is a structured data model for representing individual patient informations. Our implementation of vMR is based on HL7 Reference Information Model (RIM) v2.13 from which a minimum set of objects and attributes are selected to meet the requirement of a clinical decision support (CDS) rule engine. Our success of mapping local patient data to the vMR model and building a vMR adaptor middle layer demonstrate the feasibility and advantages of implementing a vMR in a portable CDS solution.

  3. Decision Support for Medical Treatment: A TPN Prescription System on a Central Hospital Computer

    PubMed Central

    Moliver, Nina; Coates, Allan L.

    1987-01-01

    An interactive decision-support system for the prescription of total or partial parenteral nutrition (TPN) is described. The system is applicable to all sizes and ages of patients, from premature infants to adults. Both the physician and the pharmacist are users of the system, with the physician using rule-based safety checks and branching algorithms to make decisions in the prescription process, and the pharmacist receiving the prescription totals electronically in order to complete further calculations needed. Since its introduction, the system appears to have increased the safety of the TPN prescription, saved time, and improved the quality and appropriateness of TPN prescriptions.

  4. Architecture-Level Dependability Analysis of a Medical Decision Support System

    SciTech Connect

    Pullum, Laura L; Symons, Christopher T; Patton, Robert M; Beckerman, Barbara G

    2010-01-01

    Recent advances in techniques such as image analysis, text analysis and machine learning have shown great potential to assist physicians in detecting and diagnosing health issues in patients. In this paper, we describe the approach and findings of an architecture-level dependability analysis for a mammography decision support system that incorporates these techniques. The goal of the research described in this paper is to provide an initial understanding of the dependability issues, particularly the potential failure modes and severity, in order to identify areas of potential high risk. The results will guide design decisions and provide the basis of a dependability and performance evaluation program.

  5. The Columbia-Presbyterian Medical Center decision-support system as a model for implementing the Arden Syntax.

    PubMed

    Hripcsak, G; Cimino, J J; Johnson, S B; Clayton, P D

    1991-01-01

    Columbia-Presbyterian Medical Center is implementing a decision-support system based on the Arden Syntax for Medical Logic Modules (MLM's). The system uses a compiler-interpreter pair. MLM's are first compiled into pseudo-codes, which are instructions for a virtual machine. The MLM's are then executed using an interpreter that emulates the virtual machine. This design has resulted in increased portability, easier debugging and verification, and more compact compiled MLM's. The time spent interpreting the MLM pseudo-codes has been found to be insignificant compared to database accesses. The compiler, which is written using the tools "lex" and "yacc," optimizes MLM's by minimizing the number of database accesses. The interpreter emulates a stack-oriented machine. A phased implementation of the syntax was used to speed the development of the system.

  6. The Columbia-Presbyterian Medical Center decision-support system as a model for implementing the Arden Syntax.

    PubMed Central

    Hripcsak, G.; Cimino, J. J.; Johnson, S. B.; Clayton, P. D.

    1991-01-01

    Columbia-Presbyterian Medical Center is implementing a decision-support system based on the Arden Syntax for Medical Logic Modules (MLM's). The system uses a compiler-interpreter pair. MLM's are first compiled into pseudo-codes, which are instructions for a virtual machine. The MLM's are then executed using an interpreter that emulates the virtual machine. This design has resulted in increased portability, easier debugging and verification, and more compact compiled MLM's. The time spent interpreting the MLM pseudo-codes has been found to be insignificant compared to database accesses. The compiler, which is written using the tools "lex" and "yacc," optimizes MLM's by minimizing the number of database accesses. The interpreter emulates a stack-oriented machine. A phased implementation of the syntax was used to speed the development of the system. PMID:1807598

  7. Critically Ill Patients and End-of-Life Decision-Making: The Senior Medical Resident Experience

    ERIC Educational Resources Information Center

    Ahern, Stephane P.; Doyle, Tina K.; Marquis, Francois; Lesk, Corey; Skrobik, Yoanna

    2012-01-01

    In order to improve the understanding of educational needs among residents caring for the critically ill, narrative accounts of 19 senior physician trainees participating in level of care decision-making were analyzed. In this multicentre qualitative study involving 9 university centers in Canada, in-depth interviews were conducted in either…

  8. Tutorial in medical decision modeling incorporating waiting lines and queues using discrete event simulation.

    PubMed

    Jahn, Beate; Theurl, Engelbert; Siebert, Uwe; Pfeiffer, Karl-Peter

    2010-01-01

    In most decision-analytic models in health care, it is assumed that there is treatment without delay and availability of all required resources. Therefore, waiting times caused by limited resources and their impact on treatment effects and costs often remain unconsidered. Queuing theory enables mathematical analysis and the derivation of several performance measures of queuing systems. Nevertheless, an analytical approach with closed formulas is not always possible. Therefore, simulation techniques are used to evaluate systems that include queuing or waiting, for example, discrete event simulation. To include queuing in decision-analytic models requires a basic knowledge of queuing theory and of the underlying interrelationships. This tutorial introduces queuing theory. Analysts and decision-makers get an understanding of queue characteristics, modeling features, and its strength. Conceptual issues are covered, but the emphasis is on practical issues like modeling the arrival of patients. The treatment of coronary artery disease with percutaneous coronary intervention including stent placement serves as an illustrative queuing example. Discrete event simulation is applied to explicitly model resource capacities, to incorporate waiting lines and queues in the decision-analytic modeling example.

  9. Integrated case studies and medical decision making: a novel, computer-assisted bridge from the basic sciences to the clinics.

    PubMed

    Schor, N F; Troen, P; Adler, S; Williams, J G; Kanter, S L; Mahling, D E; Sorrows, B; Skogseid, I; Bernier, G M

    1995-09-01

    This article describes a novel course that was designed to bridge the gap between the basic science years and clinical experiences in medical school by using information science and computer technology as major components of problem-based learning (PBL) sessions. The course, Integrated Case Studies and Medical Decision Making, was first given to second-year students at the University of Pittsburgh School of Medicine in the spring of 1994. It consists of 13 PBL exercises, each of which explores a clinical case. The cases, including images and gated access to information, are housed on a computer. Using one of 16 networked terminals in specially designed small-group rooms, groups of nine students progress through the cases with a faculty facilitator. The responses of students and faculty to the initial year of the course were favorable. In comparison with traditional PBL sessions, enhanced quality of and access to images and accountability for accessing case information in sequential fashion were cited as major strengths of the course. Juxtaposition of basic science and clinical material and utility in reviewing for the United States Medical Licensing Examination were also cited as strengths. The diversity of the basic science material involved in completing the cases drew overwhelming enthusiasm from students and facilitators alike. In conclusion, the course successfully employs computer and information science technology, which will be of increasing importance to future physicians. The course also serves as an effective bridge to the clinical years of medical school and as a study adjunct for the USMLE.

  10. The Influence of Attitudes, Beliefs, and Social Factors on Caregivers’ Decisions on the Use of OTC Medications in Preschool Children.

    DTIC Science & Technology

    2007-11-02

    decision to medicate their child with OTC cough and cold medications and/or call the doctor. The theoretical framework used to examine these purposes is... cough and cold medications (CCM) 66.7%, and other pain relievers 6.9%. The reported percentages are greater than 100% because many children received...and risk is associated with improper use. Smith and Feldman (1993) found only two published clinical trials addressing the efficacy of OTC cough and

  11. Nursing Home Stakeholder Views of Resident Involvement in Medical Care Decisions

    PubMed Central

    Garcia, Theresa J.; Harrison, Tracie C.; Goodwin, James S.

    2017-01-01

    Demand by nursing home residents for involvement in their medical care, or, patient-centered care, is expected to increase as baby boomers begin seeking long-term care for their chronic illnesses. To explore the needs in meeting this proposed demand, we used a qualitative descriptive method with content analysis to obtain the joint perspective of key stakeholders on the current state of person-centered medical care in the nursing home. We interviewed 31 nursing home stakeholders: 5 residents, 7 family members, 8 advanced practice registered nurses, 5 physicians, and 6 administrators. Our findings revealed constraints placed by the long-term care system limited medical involvement opportunities and created conflicting goals for patient-centered medical care. Resident participation in medical care was perceived as low, but important. The creation of supportive educational programs for all stakeholders to facilitate a common goal for nursing home admission and to provide assistance through the long-term care system was encouraged. PMID:25721717

  12. Recommendations for Modeling Disaster Responses in Public Health and Medicine: A Position Paper of The Society for Medical Decision Making

    PubMed Central

    Brandeau, Margaret L.; McCoy, Jessica H.; Hupert, Nathaniel; Holty, Jon-Erik; Bravata, Dena M.

    2013-01-01

    Purpose Mathematical and simulation models are increasingly used to plan for and evaluate health sector responses to disasters, yet no clear consensus exists regarding best practices for the design, conduct, and reporting of such models. We examined a large selection of published health sector disaster response models to generate a set of best practice guidelines for such models. Methods We reviewed a spectrum of published disaster response models addressing public health or healthcare delivery, focusing in particular on the type of disaster and response decisions considered, decision makers targeted, choice of outcomes evaluated, modeling methodology, and reporting format. We developed initial recommendations for best practices for creating and reporting such models and refined these guidelines after soliciting feedback from response modeling experts and from members of the Society for Medical Decision Making. Results We propose six recommendations for model construction and reporting, inspired by the most exemplary models: Health sector disaster response models should address real-world problems; be designed for maximum usability by response planners; strike the appropriate balance between simplicity and complexity; include appropriate outcomes, which extend beyond those considered in traditional cost-effectiveness analyses; and be designed to evaluate the many uncertainties inherent in disaster response. Finally, good model reporting is particularly critical for disaster response models. Conclusions Quantitative models are critical tools for planning effective health sector responses to disasters. The recommendations we propose can increase the applicability and interpretability of future models, thereby improving strategic, tactical, and operational aspects of preparedness planning and response. PMID:19605887

  13. “Smart Forms” in an Electronic Medical Record: Documentation-based Clinical Decision Support to Improve Disease Management

    PubMed Central

    Schnipper, Jeffrey L.; Linder, Jeffrey A.; Palchuk, Matvey B.; Einbinder, Jonathan S.; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

    2008-01-01

    Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing “Smart Forms” to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions. PMID:18436911

  14. "Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.

    PubMed

    Schnipper, Jeffrey L; Linder, Jeffrey A; Palchuk, Matvey B; Einbinder, Jonathan S; Li, Qi; Postilnik, Anatoly; Middleton, Blackford

    2008-01-01

    Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.

  15. Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images.

    PubMed

    Kuo, W J; Chang, R F; Chen, D R; Lee, C C

    2001-03-01

    To increase the ability of ultrasonographic (US) technology for the differential diagnosis of solid breast tumors, we describe a novel computer-aided diagnosis (CADx) system using data mining with decision tree for classification of breast tumor to increase the levels of diagnostic confidence and to provide the immediate second opinion for physicians. Cooperating with the texture information extracted from the region of interest (ROI) image, a decision tree model generated from the training data in a top-down, general-to-specific direction with 24 co-variance texture features is used to classify the tumors as benign or malignant. In the experiments, accuracy rates for a experienced physician and the proposed CADx are 86.67% (78/90) and 95.50% (86/90), respectively.

  16. The utility of a Personal Values Report for medical decision-making.

    PubMed

    Henderson, W; Corke, C

    2015-09-01

    Our aim was to determine if a patient's Personal Values Report (PVR) has a positive impact on a doctor's decisions regarding treatment. We conducted a prospective cohort study delivering a short, web-based hypothetical case-centred questionnaire to intensive care doctors practising in Australia and New Zealand. One hundred and twenty-four intensive care consultants and registrars agreed to participate in an online questionnaire in two routine mailings between November 2013 and February 2014. We evaluated the effect of a PVR on clinical decision-making in a case-based scenario. In addition, participants rated the utility of the PVR on their decision-making process. Participants were presented with a difficult scenario in a frail elderly man where death was almost inevitable without aggressive support but survival with severe disability was possible with significant intervention. Most doctors (52.4%) elected to continue ventilation and admit to ICU. After the PVR was made available, only 8.1% of doctors continued to choose to admit the patient to the ICU. In all cases where admission to the ICU was chosen after seeing the PVR, the admission to the ICU was stated to be to permit family to arrive before withdrawing support (an approach which was consistent with the values stated in the PVR). One hundred and twenty-one of the 124 participants (97.6%) agreed or strongly agreed that the PVR helped them get an understanding of the patient's wishes, whereas none of the participants (0%) were unsure, disagreed or strongly disagreed with this statement. The remaining 2.4% did not answer the question. It is surmised that PVRs pre-written by patients are potentially an effective and valuable tool for use in helping doctors make decisions regarding patient care.

  17. Decisions about the use of psychotropic medication during pregnancy: a qualitative study

    PubMed Central

    Stevenson, Fiona; Hamilton, Sarah; Pinfold, Vanessa; Walker, Charlotte; Dare, Ceri R J; Kaur, Harminder; Lambley, Ruth; Szymczynska, Paulina; Nicolls, Vicky; Petersen, Irene

    2016-01-01

    Objective To understand the perspectives of women with severe mental illness concerning the use of psychotropic medicines while pregnant. Design Interviews conducted by female peer researchers with personal experience of making or considering decisions about using psychotropic medicines in pregnancy, supported by professional researchers. Participants 12 women who had had a baby in the past 5 years and had taken antipsychotics or mood-stabilisers for severe mental illness within the 12-month period immediately prior to that pregnancy. Recruitment to the study was via peer networks and the women interviewed came from different regions of England. Setting Interviews were arranged in places where women felt comfortable and that accommodated their childcare needs including their home, local library and the research office. Results The views expressed demonstrated complex attempts to engage with decision-making about the use of psychotropic medicines in pregnancy. In nearly all cases, the women expressed the view that healthcare professionals had access to limited information leaving women to rely on experiential and common sense evidence when making decisions about medicine taking during pregnancy. Conclusions The findings complement existing work using electronic health records by providing explanations for the discontinuation of psychotropic medicines in pregnancy. Further work is necessary to understand health professionals’ perspectives on the provision of services and care to women with severe mental illness during pregnancy. PMID:26817641

  18. Triage Decision Trees and Triage Protocols: Changing Strategies for Medical Rescue in Civilian Mass Casualty Situations.

    DTIC Science & Technology

    1984-02-06

    o . .. ° . - . . - • . . . . state of fruition by Gtnerall Basil Pruitt of Brooke Army Medical Center. A simple calculation based on the depth...A.S., Berstein R.S. and Johnson D.S., Ocular effects following the volcanic eruptions of Mount St. Helens, Arch Ophthalmol 101 Mar 83 p. 376 79

  19. OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records

    PubMed Central

    Chen, Jonathan H; Podchiyska, Tanya

    2016-01-01

    Objective: To answer a “grand challenge” in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR), analogous to Netflix or Amazon.com’s product recommender. Materials and Methods: EMR data were extracted from 1 year of hospitalizations (>18K patients with >5.4M structured items including clinical orders, lab results, and diagnosis codes). Association statistics were counted for the ∼1.5K most common items to drive an order recommender. The authors assessed the recommender’s ability to predict hospital admission orders and outcomes based on initial encounter data from separate validation patients. Results: Compared to a reference benchmark of using the overall most common orders, the recommender using temporal relationships improves precision at 10 recommendations from 33% to 38% (P < 10−10) for hospital admission orders. Relative risk-based association methods improve inverse frequency weighted recall from 4% to 16% (P < 10−16). The framework yields a prediction receiver operating characteristic area under curve (c-statistic) of 0.84 for 30 day mortality, 0.84 for 1 week need for ICU life support, 0.80 for 1 week hospital discharge, and 0.68 for 30-day readmission. Discussion: Recommender results quantitatively improve on reference benchmarks and qualitatively appear clinically reasonable. The method assumes that aggregate decision making converges appropriately, but ongoing evaluation is necessary to discern common behaviors from “correct” ones. Conclusions: Collaborative filtering recommender algorithms generate clinical decision support that is predictive of real practice patterns and clinical outcomes. Incorporating temporal relationships improves accuracy. Different evaluation metrics satisfy different goals (predicting likely events vs. “interesting” suggestions). PMID:26198303

  20. Recovery and resilience after a nuclear power plant disaster: a medical decision model for managing an effective, timely, and balanced response.

    PubMed

    Coleman, C Norman; Blumenthal, Daniel J; Casto, Charles A; Alfant, Michael; Simon, Steven L; Remick, Alan L; Gepford, Heather J; Bowman, Thomas; Telfer, Jana L; Blumenthal, Pamela M; Noska, Michael A

    2013-04-01

    Resilience after a nuclear power plant or other radiation emergency requires response and recovery activities that are appropriately safe, timely, effective, and well organized. Timely informed decisions must be made, and the logic behind them communicated during the evolution of the incident before the final outcome is known. Based on our experiences in Tokyo responding to the Fukushima Daiichi nuclear power plant crisis, we propose a real-time, medical decision model by which to make key health-related decisions that are central drivers to the overall incident management. Using this approach, on-site decision makers empowered to make interim decisions can act without undue delay using readily available and high-level scientific, medical, communication, and policy expertise. Ongoing assessment, consultation, and adaption to the changing conditions and additional information are additional key features. Given the central role of health and medical issues in all disasters, we propose that this medical decision model, which is compatible with the existing US National Response Framework structure, be considered for effective management of complex, large-scale, and large-consequence incidents.

  1. Cesarean section without clinical indication versus vaginal delivery as a paradigmatic model in the discourse of medical setting decisions.

    PubMed

    Demontis, Roberto; Pisu, Salvatore; Pintor, Michela; D'aloja, Ernesto

    2011-12-01

    Natural childbirth has ceased to be considered the gold standard in the delivery room. For this reason cesarean section on demand is increasing. Many obstetricians justify this phenomenon on evidence-based obstetrical practice. However, other pieces of evidence demonstrate that the data are often a product of the social milieu, and as stated by Wendland, "technology magically wards off the unpredictability and danger of birth". In a recent paper, Kalish pointed out several problems with cesarean deliveries in the absence of medical indications regarding issues of good clinical practice, autonomy, and informed consent. From the late 1990s, the medical community began to speak in favor of women's autonomy in childbirth decisions thus supporting the maternal choice and request for a cesarean section. Starting from these new considerations, it is of primary importance to understand whether emphasizing patient's autonomy is the best, or the only, way to helping the medical decisional process. This general approach may be helpful in all the other cases in which patient's autonomy and physician's responsibility appear to be intertwined in an apparent conflicting manner. We fear that the rhetoric of autonomous choice represents a fundamental shift from medicine-based beneficence toward a perilous relationship founded mainly on patient's wishes, representing a dangerous slippery slope where the physician could be reduced to the role of a functionary delegated to execute patient's claims and demands.

  2. Basic list of veterinary medical serials, third edition: using a decision matrix to update the core list of veterinary journals

    PubMed Central

    Ugaz, Ana G; Boyd, C. Trenton; Croft, Vicki F; Carrigan, Esther E; Anderson, Katherine M

    2010-01-01

    Objective: This paper presents the methods and results of a study designed to produce the third edition of the “Basic List of Veterinary Medical Serials,” which was established by the Veterinary Medical Libraries Section in 1976 and last updated in 1986. Methods: A set of 238 titles were evaluated using a decision matrix in order to systematically assign points for both objective and subjective criteria and determine an overall score for each journal. Criteria included: coverage in four major indexes, scholarly impact rank as tracked in two sources, identification as a recommended journal in preparing for specialty board examinations, and a veterinary librarian survey rating. Results: Of the 238 titles considered, a minimum scoring threshold determined the 123 (52%) journals that constituted the final list. The 36 subject categories represented on the list include general and specialty disciplines in veterinary medicine. A ranked list of journals and a list by subject category were produced. Conclusion: Serials appearing on the third edition of the “Basic List of Veterinary Medical Serials” met expanded objective measures of quality and impact as well as subjective perceptions of value by both librarians and veterinary practitioners. PMID:20936066

  3. Feature Engineering and a Proposed Decision-Support System for Systematic Reviewers of Medical Evidence

    PubMed Central

    Bekhuis, Tanja; Tseytlin, Eugene; Mitchell, Kevin J.; Demner-Fushman, Dina

    2014-01-01

    Objectives Evidence-based medicine depends on the timely synthesis of research findings. An important source of synthesized evidence resides in systematic reviews. However, a bottleneck in review production involves dual screening of citations with titles and abstracts to find eligible studies. For this research, we tested the effect of various kinds of textual information (features) on performance of a machine learning classifier. Based on our findings, we propose an automated system to reduce screeing burden, as well as offer quality assurance. Methods We built a database of citations from 5 systematic reviews that varied with respect to domain, topic, and sponsor. Consensus judgments regarding eligibility were inferred from published reports. We extracted 5 feature sets from citations: alphabetic, alphanumeric+, indexing, features mapped to concepts in systematic reviews, and topic models. To simulate a two-person team, we divided the data into random halves. We optimized the parameters of a Bayesian classifier, then trained and tested models on alternate data halves. Overall, we conducted 50 independent tests. Results All tests of summary performance (mean F3) surpassed the corresponding baseline, P<0.0001. The ranks for mean F3, precision, and classification error were statistically different across feature sets averaged over reviews; P-values for Friedman's test were .045, .002, and .002, respectively. Differences in ranks for mean recall were not statistically significant. Alphanumeric+ features were associated with best performance; mean reduction in screening burden for this feature type ranged from 88% to 98% for the second pass through citations and from 38% to 48% overall. Conclusions A computer-assisted, decision support system based on our methods could substantially reduce the burden of screening citations for systematic review teams and solo reviewers. Additionally, such a system could deliver quality assurance both by confirming concordant

  4. [Medical data warehousing as a generator of system component for decision support in health care].

    PubMed

    Catibusić, Sulejman; Hadzagić-Catibusić, Feriha; Zubcević, Smail

    2004-01-01

    Growth in role of data warehousing as strategic information for decision makers is significant. Many health institutions have data warehouse implementations in process of development or even in production. This article was made with intention to improve general understanding of data warehousing requirements form the point of view of end-users, and information system as well. For that reason, in this document advantages and arguments for implementation, techniques and methods of data warehousing, data warehouse foundation and exploration of information as final product of data warehousing process have been described.

  5. Media coverage of medical decision making at the end of life: a Belgian case study.

    PubMed

    Van Brussel, Leen; Van Landeghem, Paul; Cohen, Joachim

    2014-01-01

    This article presents a content analysis of Belgian media coverage of end-of-life decision making. The authors examine a selection of press articles and the differences among media genres in covering the issue. In general terms, they found an overreporting of euthanasia; a focus on dying processes resulting from cancer and Alzheimer's disease; and an attention to political discussions and political voices, which outnumber patient voices. In genre-specific terms, unlike mainstream media, niche media reported less mediagenic aspects of the end of life. Finally, although popular mainstream media focus on personal aspects of the end-of-life, elite mainstream media privilege political aspects.

  6. Optimizing medical device buying. Value analysis models can help you improve decision-making process.

    PubMed

    Feldstein, Josh; Brooks, Elizabeth

    2010-05-01

    Value Analysis Models (VAMs) are a burgeoning analytical tool that can help materials managers, operating room managers, CFOs and others to make comparative value assessments before reaching a critical purchasing decision. Although relatively new to the hospital field, more and more manufacturers are supporting these initiatives to bring critical information to their customers and the health care industry. VAMs aren't designed to conclude that one product is better than another but to be a tool that can help make the product acquisition process much easier.

  7. Court Decisions on Medical Malpractice in China After the New Tort Liability Law.

    PubMed

    Zhang, Kui; Li, Yuan; Fan, Fei; Liu, Xin; Deng, Zhen-Hua

    2016-09-01

    A new Tort Law of the People's Republic of China became effective on July 1, 2010. We undertook an analysis of medical malpractice lawsuits brought before regional courts in Beijing districts after this new Tort Liability Law went into effect. In total, 726 cases eventuating in a final verdict were collected from the Beijing district courts from 2011 to 2013 in this retrospective study; 83.7% of the 726 alleged instances of medical malpractice were confirmed to be malpractice by the final verdict. The disciplines most frequently involved with claims of medical malpractice were obstetrics and gynecology, the most frequent outcomes was death, and the most common types of case associated with malpractice was surgery related. The average length of time between the occurrence of the injury and closure of the claim was 9.2 months, and the average payment was ¥163,000. Since the introduction of the new Tort Liability Law, the average time to complete a litigation was shortened, but it has made little apparent difference otherwise.

  8. Ehrlichia Meningitis Mimicking Aneurysmal Subarachnoid Hemorrhage: A Case Study for Medical Decision-Making Heuristics.

    PubMed

    Dredla, Brynn; Freeman, William D

    2016-04-01

    Thunderclap headache is a sudden and severe headache that can occur after an aneurysmal subarachnoid hemorrhage (SAH). Subarachnoid hemorrhage is a medical emergency that requires prompt attention and hospitalization. Patients with thunderclap headache often undergo a noncontrast head computed tomography (CT) scan to ascertain SAH bleeding and, if the scan is negative, then undergo a lumbar puncture to look for cerebrospinal fluid (CSF) red blood cells (RBCs), which would be consistent with an aneurysmal leak. If the initial CT is negative and CSF is positive for RBCs, patients are usually admitted to the hospital for evaluation of intracranial aneurysm. We encountered a patient with thunderclap headache whose initial head CT was negative for SAH and whose CSF tested positive for RBCs. The patient was referred to our center for evaluation and management of aneurysmal SAH. However, on careful review of the patient's medical history, serum laboratory values, and spinal fluid values, the patient was diagnosed with Ehrlichia chaffeensis meningitis. While Ehrlichia meningitis is rare, it is important to recognize the clinical clues that could help avoid formal cerebral angiography, a costly and potentially unnecessary procedure. We present how this case represented a cognitive framing bias and anchoring heuristic as well as steps that medical providers can use to prevent such cognitive errors in diagnosis.

  9. Physicians' personal values in determining medical decision-making capacity: a survey study.

    PubMed

    Hermann, Helena; Trachsel, Manuel; Biller-Andorno, Nikola

    2015-09-01

    Decision-making capacity (DMC) evaluations are complex clinical judgements with important ethical implications for patients' self-determination. They are achieved not only on descriptive grounds but are inherently normative and, therefore, dependent on the values held by those involved in the DMC evaluation. To date, the issue of whether and how physicians' personal values relate to DMC evaluation has never been empirically investigated. The present survey study aimed to investigate this question by exploring the relationship between physicians' value profiles and the use of risk-relative standards in capacity evaluations. The findings indicate that physicians' personal values are of some significance in this regard. Those physicians with relatively high scores on the value types of achievement, power-resource, face and conformity to interpersonal standards were more likely to apply risk-relative criteria in a range of situations, using more stringent assessment standards when interventions were riskier. By contrast, those physicians who strongly emphasise hedonism, conformity to rules and universalism concern were more likely to apply equal standards regardless of the consequences of a decision. Furthermore, it has been shown that around a quarter of all respondents do not appreciate that their values impact on their DMC evaluations, highlighting a need to better sensitise physicians in this regard. The implications of these findings are discussed, especially in terms of the moral status of the potential and almost unavoidable influence of physicians' values.

  10. Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial.

    PubMed

    Bernstein, Steven L; Rosner, June; DeWitt, Michelle; Tetrault, Jeanette; Hsiao, Allen L; Dziura, James; Sussman, Scott; O'Connor, Patrick; Toll, Benjamin

    2017-02-13

    Tobacco dependence treatment for hospitalized smokers results in long-term cessation if treatment continues at least 30 days post-discharge. Health information technology may facilitate ongoing tobacco dependence treatment after hospital discharge. To describe the use and impact of a new decision support tool and order set for inpatient physicians, addressing tobacco dependence treatment for hospitalized smokers, embedded in an electronic health record (EHR). In a cluster-randomized trial, 254 physicians were randomized (1:1) to either receive or not receive the decision support tool and order set, which were embedded in the Epic (Madison, WI) EHR used at 2 hospitals in a single city. When an adult patient was admitted to a medical service, an electronic alert appeared if the patient was coded in the EHR as a smoker. For physicians randomized to the intervention, the alert linked to an order set to prescribe tobacco treatment medications and refer the patient to the state tobacco quitline. Additionally, "tobacco use disorder" was added to the patient's problem list, and an e-mail was sent to the patient's primary care provider (PCP). In the control arm, an alert fired with no screen visibility. Generalized estimating equations were used to model the data. Since August 2013, the alert has appeared for 10,939 patients (5391 intervention, 5548 control). Compared to control physicians, intervention physicians were more likely to order tobacco treatment medication (35 vs. 29%, P < 0.0001), populate the problem list with tobacco use disorder (41 vs. 2%, P < 0.0001), and make a referral to the state smokers' quitline (30 vs. 0%, P < 0.0001). In addition, intervention physicians sent an e-mail to the patient's PCP 4152 (99%) times. Designing and implementing an order set and alert for tobacco treatment in an EHR is feasible and helps physicians place more orders for tobacco treatment medication, referrals to the state smokers' quitline, and e-mails to patients' PCPs

  11. Consistency versus Completeness in Medical Decision Making: Exemplar of 155 Patients Autopsied after Coronary Artery Bypass Graft Surgery

    PubMed Central

    Moore, G. William; Hutchins, Grover M.

    1982-01-01

    Diagnoses made at autopsy are usually yes-no (binary) decisions inferred from clinicopathologic data. A major conceptual problem in determining cause of death is that variables used in classifying some patients may be missing in other patients. A model with too few logical implications will be mathematically incomplete for small data sets; but a model too many implications may be inconsistent with large data sets. We examined the 155 patients autopsied after coronary artery bypass surgery from The Johns Hopkins Hospital autopsy database of 43200 cases. Diagnoses entered on a word processor and transmitted to a minicomputer were solved by the Quine-McCluskey algorithm. Our analysis disclosed that 41% of patients suffered a fatal complication of cardiac surgery; 43% had established surgical complications or unrelated causes of death; and in 17% of cases the cause of death was unexplained. Computerized symbolic logic analysis of medical information is useful in testing the completeness of a proposed set of causes of death.

  12. Point of care information services: a platform for self-directed continuing medical education for front line decision makers

    PubMed Central

    Moja, Lorenzo; Kwag, Koren Hyogene

    2015-01-01

    The structure and aim of continuing medical education (CME) is shifting from the passive transmission of knowledge to a competency-based model focused on professional development. Self-directed learning is emerging as the foremost educational method for advancing competency-based CME. In a field marked by the constant expansion of knowledge, self-directed learning allows physicians to tailor their learning strategy to meet the information needs of practice. Point of care information services are innovative tools that provide health professionals with digested evidence at the front line to guide decision making. By mobilising self-directing learning to meet the information needs of clinicians at the bedside, point of care information services represent a promising platform for competency-based CME. Several points, however, must be considered to enhance the accessibility and development of these tools to improve competency-based CME and the quality of care. PMID:25655251

  13. Understanding older peoples' decisions about the use of sleeping medication: issues of control and autonomy.

    PubMed

    Venn, Susan; Arber, Sara

    2012-11-01

    Poor sleep is known to impact on health and wellbeing in later life and has implications for the ability of older people to remain active during the day. Medical treatments for chronic poor sleep have primarily included the regular, long-term prescribing of hypnotics, which are known to impact on older people's health, cognitive function and quality of life. Therefore, recent policy and practice has focused on reducing such prescribing, on encouraging older people to stop taking long-term hypnotics and on finding alternative, non-pharmacological ways to manage poor sleep. However, little research has been undertaken to understand the perspectives of older people who choose not to seek professional help for their poor sleep, despite the potential impact of poor sleep on their health and ability to remain active. Through in-depth interviews with 62 older men and women living in their own homes in England, this article explores the factors that deter older people from seeking professional help for their poor sleep. We argue that these are located in their perceptions of the normativity of poor sleep in later life, their beliefs about prescription sleeping medications and their desire to maintain control and autonomy over their everyday and night lives.

  14. Improving Medical Decision Making and Health Promotion through Culture-Sensitive Health Communication: An Agenda for Science and Practice.

    PubMed

    Betsch, Cornelia; Böhm, Robert; Airhihenbuwa, Collins O; Butler, Robb; Chapman, Gretchen B; Haase, Niels; Herrmann, Benedikt; Igarashi, Tasuku; Kitayama, Shinobu; Korn, Lars; Nurm, Ülla-Karin; Rohrmann, Bernd; Rothman, Alexander J; Shavitt, Sharon; Updegraff, John A; Uskul, Ayse K

    2016-10-01

    This review introduces the concept of culture-sensitive health communication. The basic premise is that congruency between the recipient's cultural characteristics and the respective message will increase the communication's effectiveness. Culture-sensitive health communication is therefore defined as the deliberate and evidence-informed adaptation of health communication to the recipients' cultural background in order to increase knowledge and improve preparation for medical decision making and to enhance the persuasiveness of messages in health promotion. To achieve effective health communication in varying cultural contexts, an empirically and theoretically based understanding of culture will be indispensable. We therefore define culture, discuss which evolutionary and structural factors contribute to the development of cultural diversity, and examine how differences are conceptualized as scientific constructs in current models of cultural differences. In addition, we will explicate the implications of cultural differences for psychological theorizing, because common constructs of health behavior theories and decision making, such as attitudes or risk perception, are subject to cultural variation. In terms of communication, we will review both communication strategies and channels that are used to disseminate health messages, and we will discuss the implications of cultural differences for their effectiveness. Finally, we propose an agenda both for science and for practice to advance and apply the evidence base for culture-sensitive health communication. This calls for more interdisciplinary research between science and practice but also between scientific disciplines and between basic and applied research.

  15. Parental refusal of life-saving treatments for adolescents: Chinese familism in medical decision-making re-visited.

    PubMed

    Hui, Edwin

    2008-06-01

    This paper reports two cases in Hong Kong involving two native Chinese adolescent cancer patients (APs) who were denied their rights to consent to necessary treatments refused by their parents, resulting in serious harm. We argue that the dynamics of the 'AP-physician-family-relationship' and the dominant role Chinese families play in medical decision-making (MDM) are best understood in terms of the tendency to hierarchy and parental authoritarianism in traditional Confucianism. This ethic has been confirmed and endorsed by various Chinese writers from Mainland China and Hong Kong. Rather than giving an unqualified endorsement to this ethic, based more on cultural sentimentalism than rational moral reasoning, we warn that a strong familism in MDM, which deprives 'weak' family members of rights, represents the less desirable elements of this tradition, against which healthcare professionals working in this cultural milieu need to safeguard. Specifically for APs, we suggest that parental authority and family integrity should be re-interpreted in terms of parental responsibility and the enhancement of children's interests respectively, as done in the West. This implies that when parents refuse to consent to necessary treatment and deny their adolescent children's right to consent, doctors, as the only remaining advocates of the APs' interest, have the duty to inform the state, which can override parental refusal to enable the doctors to fulfill their professional and moral obligations. In so doing the state exercises its 'parens patriae' power to defend the defenseless in society and the integrity of the medical profession.

  16. Hyperbolic Dirac Nets for medical decision support. Theory, methods, and comparison with Bayes Nets.

    PubMed

    Robson, Barry

    2014-08-01

    We recently introduced the concept of a Hyperbolic Dirac Net (HDN) for medical inference on the grounds that, while the traditional Bayes Net (BN) is popular in medicine, it is not suited to that domain: there are many interdependencies such that any "node" can be ultimately conditional upon itself. A traditional BN is a directed acyclic graph by definition, while the HDN is a bidirectional general graph closer to a diffuse "field" of influence. Cycles require bidirectionality; the HDN uses a particular type of imaginary number from Dirac׳s quantum mechanics to encode it. Comparison with the BN is made alongside a set of recipes for converting a given BN to an HDN, also adding cycles that do not usually require reiterative methods. This conversion is called the P-method. Conversion to cycles can sometimes be difficult, but more troubling was that the original BN had probabilities needing adjustment to satisfy realism alongside the important property called "coherence". The more general and simpler K-method, not dependent on the BN, is usually (but not necessarily) derived by data mining, and is therefore also introduced. As discussed, BN developments may converge to an HDN-like concept, so it is reasonable to consider the HDN as a BN extension.

  17. “The Ultimate Decision Is Yours”: Exploring Patients’ Attitudes about the Overuse of Medical Interventions

    PubMed Central

    Schleifer, David; Rothman, David J.

    2012-01-01

    Previous research has found that American patients strongly believe that more testing and more treatment lead to better outcomes and, to a lesser extent, that newer treatments are more effective. We conducted five focus groups with privately insured, healthy, middle-aged Americans (n = 43) to explore these apparent preferences. Contrary to previous research, an unexpected distinction emerged. Participants placed enormous value on testing and screening, reacting with hostility to guidelines recommending less of either. However, they were suspicious of overmedication. The wariness of pharmaceuticals and enthusiasm for testing and screening both appear to reflect participants’ efforts to take responsibility for their health. But recommendations to test and screen less conflicted with their active, engaged, information-seeking roles. Nonetheless, given patients’ concerns about overuse of pharmaceuticals, we maintain that they can learn to understand the connections between over-testing and over-treatment, and can actively choose to do less. We close with suggestions about how treatment guidelines can better communicate these connections to patients. Our findings cannot necessarily be generalized beyond privately-insured, healthy, middle-aged Americans. But because we found that, among these individuals, attitudes towards pharmaceuticals differ from attitudes towards testing and screening, we maintain that future research should also distinguish among and compare attitudes towards different types of medical interventions. PMID:23300706

  18. On the growth rates of human malignant tumors: implications for medical decision making.

    PubMed

    Friberg, S; Mattson, S

    1997-08-01

    Testicular carcinomas, pediatric tumors, and some mesenchymal tumors are examples of rapidly proliferating cell populations, for which the tumor volume doubling time (TVDT) can be counted in days. Cancers from the breast, prostate, and colon are frequently slow-growing, displaying a TVDT of months or years. Irrespective of their growth rates, most human tumors have been found: to start from one single cell, to have a long subclinical period, to grow at constant rates for long periods of time, to start to metastasize often even before the primary is detected, and to have metastases that often grow at approximately the same rate as the primary tumor. The recognition of basic facts in tumor cell kinetics is essential in the evaluation of important present-day strategies in oncology. Among the facts emphasized in this review are: (1) Screening programs. Most tumors are several years old when detectable by present-day diagnostic methods. This makes the term "early detection" questionable. (2) Legal trials. The importance of so-called doctor's delay is often discussed, but the prognostic value of "early" detection is overestimated. (3) Analyses of clinical trials. Such analysis may be differentiated depending on the growth rates of the type of tumor studied. Furthermore, uncritical analysis of survival data may be misleading if the TVDT is not taken into consideration. (4) Analyses of epidemiological data. If causes of malignant tumors in humans are searched for, the time of exposure must be extended far back in the subject's history. (5) Risk estimations by insurance companies. For the majority of human cancers, the 5-year survival rate is not a valid measurement for cure. Thus, basic knowledge of tumor kinetics may have important implications for political health programs, legal trials, medical science, and insurance policies.

  19. Key role of social work in effective communication and conflict resolution process: Medical Orders for Life-Sustaining Treatment (MOLST) Program in New York and shared medical decision making at the end of life.

    PubMed

    Bomba, Patricia A; Morrissey, Mary Beth; Leven, David C

    2011-01-01

    In this article, the authors review the development of the Medical Orders for Life-Sustaining Treatment (MOLST) Program and recent landmark legislation in New York State in the context of advance care planning and shared medical decision making at the end of life. Social workers are central health care professionals in working with patients, families, practitioners, health care agents, and surrogates in the health systems and in the communication and conflict resolution process that is integral to health care decision making. The critical importance of ethics and end-of-life training and education for social workers is also addressed. Data from a pilot study evaluating interdisciplinary ethics training on legal and ethical content in communication and conflict resolution skills in health care decision making are reported. Recommendations are made for research on education and training of social workers, and investigation of the role and influence of systems in shaping social work involvement in end-of-life and palliative care.

  20. Enhancing Medical Decision-Making Evaluations: Introduction of Normative Data for the Capacity to Consent to Treatment Instrument.

    PubMed

    Gerstenecker, Adam; Niccolai, Lindsay; Marson, Daniel; Triebel, Kristen L

    2016-04-01

    A number of measures have been developed to assess medical decision-making capacity (MDC) in adults. However, their clinical utility is limited by a lack of available normative data. In the current study, we introduce age-independent and age-adjusted normative data for a measure of MDC: the Capacity to Consent to Treatment Instrument. The sample consisted of 308 cognitively normal, community-dwelling adults ranging in age from 19 to 86 years. For age-adjusted norms, individual raw scores were first converted to age-corrected scaled scores based on position within a cumulative frequency distribution and then grouped according to empirically supported age ranges. For age-independent norms, the same method was utilized but without age-corrections being applied or participants being grouped into age ranges. This study has the potential to enhance MDC evaluations by allowing clinicians to compare a patient's performance on the Capacity to Consent to Treatment Instrument with that of adults regardless of age as well as to same age peers. Tables containing normative corrections are supplementary material available online at http://asm.sagepub.com/supplemental.

  1. Anticipating hyperthermic efficiency of magnetic colloids using a semi-empirical model: a tool to help medical decisions.

    PubMed

    Fernández van Raap, M B; Coral, D F; Yu, S; Muñoz, G A; Sánchez, F H; Roig, A

    2017-03-08

    Magnetic hyperthermia, a modality that uses radio frequency heating assisted with single-domain magnetic nanoparticles, is becoming established as a powerful oncological therapy. Much improvement in nanomaterials development, to enhance their heating efficiency by tuning the magnetic colloidal properties, has been achieved. However, methodological standardization to accurately and univocally determine the colloidal properties required to numerically reproduce a specific heating efficiency using analytical expressions still holds. Thus, anticipating the hyperthermic performances of magnetic colloids entails high complexity due to polydispersity, aggregation and dipolar interactions always present in real materials to a greater or lesser degree. Here, by numerically simulating the experimental results and using real biomedical aqueous colloids, we analyse and compare several approaches to reproduce experimental specific absorption rate values. Then, we show that the relaxation time, determined using a representative mean activation energy consistently derived from four independent experiments accurately reproduces experimental heating efficiencies. Moreover, the so-derived relaxation time can be used to extrapolate the heating performance of the magnetic nanoparticles to the other field conditions within the framework of the linear response theory. We thus present a practical tool that may truly aid the design of medical decisions.

  2. Consistency versus completeness in medical decision-making: exemplar of 155 patients autopsied after coronary artery bypass graft surgery.

    PubMed

    Moore, G W; Hutchins, G M

    1983-01-01

    Diagnoses made at autopsy are usually yes-no (binary) decisions inferred from clinicopathologic data. A major conceptual problem in determining cause of death is that variables used in classifying some patients may be missing in other patients. A model with too few logical implications will be mathematically incomplete for small data sets; but a model with too many implications may be inconsistent with large data sets. We examined the 155 patients autopsied after coronary artery bypass surgery from The Johns Hopkins Hospital autopsy data base of 43,200 cases. Diagnoses entered on a word processor and transmitted to a minicomputer were solved by the Quine-McCluskey algorithm. Our analysis disclosed that 41% of patients suffered a fatal complication of cardiac surgery; 43% had established surgical complications or unrelated causes of death; and in 17% of cases the cause of death was unexplained. Computerized symbolic logic analysis of medical information is useful in testing the completeness of a proposed set of causes of death.

  3. Real-time use of the iPad by third-year medical students for clinical decision support and learning: a mixed methods study

    PubMed Central

    Nuss, Michelle A.; Hill, Janette R.; Cervero, Ronald M.; Gaines, Julie K.; Middendorf, Bruce F.

    2014-01-01

    Purpose Despite widespread use of mobile technology in medical education, medical students’ use of mobile technology for clinical decision support and learning is not well understood. Three key questions were explored in this extensive mixed methods study: 1) how medical students used mobile technology in the care of patients, 2) the mobile applications (apps) used and 3) how expertise and time spent changed overtime. Methods This year-long (July 2012–June 2013) mixed methods study explored the use of the iPad, using four data collection instruments: 1) beginning and end-of-year questionnaires, 2) iPad usage logs, 3) weekly rounding observations, and 4) weekly medical student interviews. Descriptive statistics were generated for the questionnaires and apps reported in the usage logs. The iPad usage logs, observation logs, and weekly interviews were analyzed via inductive thematic analysis. Results Students predominantly used mobile technology to obtain real-time patient data via the electronic health record (EHR), to access medical knowledge resources for learning, and to inform patient care. The top four apps used were Epocrates®, PDF Expert®, VisualDx®, and Micromedex®. The majority of students indicated that their use (71%) and expertise (75%) using mobile technology grew overtime. Conclusions This mixed methods study provides substantial evidence that medical students used mobile technology for clinical decision support and learning. Integrating its use into the medical student's daily workflow was essential for achieving these outcomes. Developing expertise in using mobile technology and various apps was critical for effective and efficient support of real-time clinical decisions. PMID:25317266

  4. The impact of mass media health communication on health decision-making and medical advice-seeking behavior of u.s. Hispanic population.

    PubMed

    De Jesus, Maria

    2013-01-01

    Mass media health communication has enormous potential to drastically alter how health-related information is disseminated and obtained by different populations. However, there is little evidence regarding the influence of media channels on health decision-making and medical advice-seeking behaviors among the Hispanic population. The Pew 2007 Hispanic Healthcare Survey was used to test the hypothesis that the amount of mass media health communication (i.e., quantity of media-based health information received) is more likely to influence Hispanic adults' health decision-making and medical advice-seeking behavior compared to health literacy and language proficiency variables. Results indicated that quantity of media-based health information is positively associated with health decision-making and medical advice-seeking behavior above and beyond the influence of health literacy and English and Spanish language proficiency. In a context where physician-patient dynamics are increasingly shifting from a passive patient role model to a more active patient role model, media-based health information can serve as an influential cue to action, prompting Hispanic individuals to make certain health-related decisions and to seek more health advice and information from a health provider. Study implications are discussed.

  5. Herding: a new phenomenon affecting medical decision-making in multiple sclerosis care? Lessons learned from DIScUTIR MS

    PubMed Central

    Saposnik, Gustavo; Maurino, Jorge; Sempere, Angel P; Ruff, Christian C; Tobler, Philippe N

    2017-01-01

    neurologists caring for MS patients. Herding may affect medical decisions and lead to poorer outcomes in the management of MS. PMID:28203061

  6. Age Targeting of Voluntary Medical Male Circumcision Programs Using the Decision Makers’ Program Planning Toolkit (DMPPT) 2.0

    PubMed Central

    Kripke, Katharine; Opuni, Marjorie; Schnure, Melissa; Sgaier, Sema; Castor, Delivette; Reed, Jason; Stover, John

    2016-01-01

    Background Despite considerable efforts to scale up voluntary medical male circumcision (VMMC) for HIV prevention in priority countries over the last five years, implementation has faced important challenges. Seeking to enhance the effect of VMMC programs for greatest and most immediate impact, the U. S. President’s Plan for AIDS Relief (PEPFAR) supported the development and application of a model to inform national planning in five countries from 2013–2014. Methods and Findings The Decision Makers’ Program Planning Toolkit (DMPPT) 2.0 is a simple compartmental model designed to analyze the effects of client age and geography on program impact and cost. The DMPPT 2.0 model was applied in Malawi, South Africa, Swaziland, Tanzania, and Uganda to assess the impact and cost of scaling up age-targeted VMMC coverage. The lowest number of VMMCs per HIV infection averted would be produced by circumcising males ages 20–34 in Malawi, South Africa, Tanzania, and Uganda and males ages 15–34 in Swaziland. The most immediate impact on HIV incidence would be generated by circumcising males ages 20–34 in Malawi, South Africa, Tanzania, and Uganda and males ages 20–29 in Swaziland. The greatest reductions in HIV incidence over a 15-year period would be achieved by strategies focused on males ages 10–19 in Uganda, 15–24 in Malawi and South Africa, 10–24 in Tanzania, and 15–29 in Swaziland. In all countries, the lowest cost per HIV infection averted would be achieved by circumcising males ages 15–34, although in Uganda this cost is the same as that attained by circumcising 15- to 49-year-olds. Conclusions The efficiency, immediacy of impact, magnitude of impact, and cost-effectiveness of VMMC scale-up are not uniform; there is important variation by age group of the males circumcised and countries should plan accordingly. PMID:27410966

  7. An antibiotic decision-making tool for patients with pneumonia admitted to a medical intensive care unit.

    PubMed

    Huang, Sheng-Feng; Chang, Jung-San; Sheu, Chau-Chyun; Liu, Yu-Ting; Lin, Ying-Chi

    2016-09-01

    Pneumonia is a leading cause of death in medical intensive care units (MICUs). Delayed or inappropriate antibiotic therapy largely increases morbidity and mortality. Multidrug-resistant (MDR) micro-organisms are major reasons for inappropriate antibiotic use. Currently there is no good antibiotic decision-making tool designed for critically ill patients. The objective of this study was to develop a convenient MDR prediction scoring system for patients admitted to MICUs with pneumonia. A retrospective cohort study was conducted using databases and chart reviews of pneumonia patients admitted to a 30-bed MICU from 2012 to 2013. Forward logistic regression was applied to identify independent MDR risk factors for prediction tool development. A total of 283 pneumonia episodes from 263 patients with positive cultures from blood or respiratory secretions were recruited, of which 154 (54.4%) were MDR episodes. Long-term ventilation (OR = 11.09; P = 0.026), residence in a long-term care facility (OR = 2.50; P = 0.005), MDR infection/colonisation during the preceding 90 days (OR = 2.08; P = 0.041), current hospitalisation ≥2 days (OR = 1.98; P = 0.019) and stroke (OR = 1.81; P = 0.035) were identified as independent predictors for MDR pneumonia. The area under the ROC curve of this prediction tool was much higher than that of ATS/IDSA classification (0.69 vs. 0.54; P <0.001). The prediction accuracy of this tool with risk score ≥1 for MDR infections was 63.7%. This simple five-item, one-step scoring tool for critically ill patients admitted to the MICU could help physicians provide timely appropriate empirical antibiotics.

  8. Health Economic Data in Reimbursement of New Medical Technologies: Importance of the Socio-Economic Burden as a Decision-Making Criterion

    PubMed Central

    Iskrov, Georgi; Dermendzhiev, Svetlan; Miteva-Katrandzhieva, Tsonka; Stefanov, Rumen

    2016-01-01

    Background: Assessment and appraisal of new medical technologies require a balance between the interests of different stakeholders. Final decision should take into account the societal value of new therapies. Objective: This perspective paper discusses the socio-economic burden of disease as a specific reimbursement decision-making criterion and calls for the inclusion of it as a counterbalance to the cost-effectiveness and budget impact criteria. Results/Conclusions: Socio-economic burden is a decision-making criterion, accounting for diseases, for which the assessed medical technology is indicated. This indicator is usually researched through cost-of-illness studies that systematically quantify the socio-economic burden of diseases on the individual and on the society. This is a very important consideration as it illustrates direct budgetary consequences of diseases in the health system and indirect costs associated with patient or carer productivity losses. By measuring and comparing the socio-economic burden of different diseases to society, health authorities and payers could benefit in optimizing priority setting and resource allocation. New medical technologies, especially innovative therapies, present an excellent case study for the inclusion of socio-economic burden in reimbursement decision-making. Assessment and appraisal have been greatly concentrated so far on cost-effectiveness and budget impact, marginalizing all other considerations. In this context, data on disease burden and inclusion of explicit criterion of socio-economic burden in reimbursement decision-making may be highly beneficial. Realizing the magnitude of the lost socio-economic contribution resulting from diseases in question could be a reasonable way for policy makers to accept a higher valuation of innovative therapies. PMID:27582707

  9. “I didn’t even know what I was looking for”: A qualitative study of the decision-making processes of Canadian medical tourists

    PubMed Central

    2012-01-01

    Background Medical tourism describes the private purchase and arrangement of medical care by patients across international borders. Increasing numbers of medical facilities in countries around the world are marketing their services to a receptive audience of international patients, a phenomenon that has largely been made possible by the growth of the Internet. The growth of the medical tourism industry has raised numerous concerns around patient safety and global health equity. In spite of these concerns, there is a lack of empirical research amongst medical tourism stakeholders. One such gap is a lack of engagement with medical tourists themselves, where there is currently little known about how medical tourists decide to access care abroad. We address this gap through examining aspects of Canadian medical tourists’ decision-making processes. Methods Semi-structured phone interviews were administered to 32 Canadians who had gone abroad as medical tourists. Interviews touched on motivations, assessment of risks, information seeking processes, and experiences at home and abroad. A thematic analysis of the interview transcripts followed. Results Three overarching themes emerged from the interviews: (1) information sources consulted; (2) motivations, considerations, and timing; and (3) personal and professional supports drawn upon. Patient testimonials and word of mouth connections amongst former medical tourists were accessed and relied upon more readily than the advice of family physicians. Neutral, third-party information sources were limited, which resulted in participants also relying on medical tourism facilitators and industry websites. Conclusions While Canadian medical tourists are often thought to be motivated by wait times for surgery, cost and availability of procedures were common primary and secondary motivations for participants, demonstrating that motivations are layered and dynamic. The findings of this analysis offer a number of important factors

  10. [Euthanasia and other decisions at the end of life (Proposal for a more transparent terminology and some thoughts on the legal framework of medical treatment)].

    PubMed

    Vadász, Gábor

    2010-10-24

    Indication of euthanasia is only one of several medical decisions at the end of life. Precise definition of this topic related to the clinical events happening around the sick-bed is not complete in the legal and medical literature. The present review attempts to classify the different end of life events with the aim of clarifying which of these do not belong to the concept of passive euthanasia. Euthanasia is not a legal category. The everyday expressions of active and passive euthanasia are simplifications, which cover actions of different purposes. Use of these in medical and legal literature can be confusing and misleading. We differentiate decisions at the end of life on basis of their purpose. Based on the definition and category of the Hungarian Doctors' Chamber, euthanasia is the act or the lack of action in order to mercifully shorten or end the life of a suffering fellow-man to help him. Concepts of active, passive and forced euthanasia are defined. The terms of indirect and intermediate euthanasia are not used in order to avoid misunderstanding. Help and participation of non-professionals in the implementation cannot be completely excluded from the concept of euthanasia, and we believe euthanasia is not merely related to doctors. We outline those medical decisions at the end of life which do not belong to the category of passive euthanasia, namely: withdrawal of ineffective and life sustaining treatments, letting go of the patient, contra-indication of therapy escalation, use of palliative therapy, pain-relieving treatment, compromise medicine, consideration of reanimation and choosing cost-effective therapy. We touch upon the subject of the living will, why it cannot be applied, and its relation to active and passive euthanasia. With reference to the legal regulation of life saving and life sustaining treatment, we deal with the expected spirit of medical legislation.

  11. WHAT ROLE SHOULD PUBLIC OPINION PLAY IN ETHICO-LEGAL DECISION MAKING? THE EXAMPLE OF SELECTING SEX FOR NON-MEDICAL REASONS USING PREIMPLANTATION GENETIC DIAGNOSIS.

    PubMed

    Fovargue, Sara; Bennett, Rebecca

    2016-01-01

    In this article, we consider the prohibition on the use of preimplantation genetic diagnosis to select an embryo on the basis of its sex for non -: medical reasons. We use this as a case study to explore the role that public consultations have and should play in ethico-legal decision-making. Until the Human Fertilisation and Embryology Act 1990 was amended by the Human Fertilisation and Embryology Act 2008, non-medical sex selection of an embryo was not statutorily regulated, but it was the policy of the Human Fertilisation and Embryology Authority that such selection should not occur. However, since 2009, it has been a criminal offence to select an embryo on the basis of its sex for non-medical reasons. We consider the reasons given for this change and explore the role that 'public opinion' had in the decision-making process. On the face of it, asking the public what they think seems reasonable, fair and democratic, and those who are not in favour of public consultations being accorded great weight in matters of policy may appear out of touch and as wanting to impose their moral views on the public at large. But there are problems with doing so, especially when seeking to regulate ethically controversial issues. We discuss whether regulation should be influenced by public opinion obtained via 'public consultations', and utilise sex selection for non-medical reasons as an example of how (apparently) public opinion was used to support the criminalisation of this practice.

  12. In Favour of Medical Dissensus: Why We Should Agree to Disagree About End‐of‐Life Decisions

    PubMed Central

    Truog, Robert; Savulescu, Julian

    2015-01-01

    Abstract End‐of‐life decision‐making is controversial. There are different views about when it is appropriate to limit life‐sustaining treatment, and about what palliative options are permissible. One approach to decisions of this nature sees consensus as crucial. Decisions to limit treatment are made only if all or a majority of caregivers agree. We argue, however, that it is a mistake to require professional consensus in end‐of‐life decisions. In the first part of the article we explore practical, ethical, and legal factors that support agreement. We analyse subjective and objective accounts of moral reasoning: accord is neither necessary nor sufficient for decisions. We propose an alternative norm for decisions – that of ‘professional dissensus’. In the final part of the article we address the role of agreement in end‐of‐life policy. Such guidelines can ethically be based on dissensus rather than consensus. Disagreement is not always a bad thing. PMID:25908398

  13. Clinical Impact of Education Provision on Determining Advance Care Planning Decisions among End Stage Renal Disease Patients Receiving Regular Hemodialysis in University Malaya Medical Centre

    PubMed Central

    Hing (Wong), Albert; Chin, Loh Ee; Ping, Tan Li; Peng, Ng Kok; Kun, Lim Soo

    2016-01-01

    Introduction: Advance care planning (ACP) is a process of shared decision-making about future health-care plans between patients, health care providers, and family members, should patients becomes incapable of participating in medical treatment decisions. ACP discussions enhance patient's autonomy, focus on patient's values and treatment preferences, and promote patient-centered care. ACP is integrated as part of clinical practice in Singapore and the United States. Aim: To assess the clinical impact of education provision on determining ACP decisions among end-stage renal disease patients on regular hemodialysis at University Malaya Medical Centre (UMMC). To study the knowledge and attitude of patients toward ACP and end-of-life issues. Materials and Methods: Fifty-six patients were recruited from UMMC. About 43 questions pretest survey adapted from Lyon's ACP survey and Moss's cardiopulmonary resuscitation (CPR) attitude survey was given to patients to answer. An educational brochure is then introduced to these patients, and a posttest survey carried out after that. The results were analyzed using SPSS version 22.0. Results: Opinion on ACP, including CPR decisions, showed an upward trend on the importance percentage after the educational brochure exposure, but this was statistically not significant. Seventy-five percent of participants had never heard of ACP before, and only 3.6% had actually prepared a written advanced directive. Conclusion: The ACP educational brochure clinically impacts patients’ preferences and decisions toward end-of-life care; however, this is statistically not significant. Majority of patients have poor knowledge on ACP. This study lays the foundation for execution of future larger scale clinical trials, and ultimately, the incorporation of ACP into clinical practice in Malaysia. PMID:27803566

  14. Medical communication and technology: a video-based process study of the use of decision aids in primary care consultations

    PubMed Central

    Kaner, Eileen; Heaven, Ben; Rapley, Tim; Murtagh, Madeleine; Graham, Ruth; Thomson, Richard; May, Carl

    2007-01-01

    Background Much of the research on decision-making in health care has focused on consultation outcomes. Less is known about the process by which clinicians and patients come to a treatment decision. This study aimed to quantitatively describe the behaviour shown by doctors and patients during primary care consultations when three types of decision aids were used to promote treatment decision-making in a randomised controlled trial. Methods A video-based study set in an efficacy trial which compared the use of paper-based guidelines (control) with two forms of computer-based decision aids (implicit and explicit versions of DARTS II). Treatment decision concerned warfarin anti-coagulation to reduce the risk of stroke in older patients with atrial fibrillation. Twenty nine consultations were video-recorded. A ten-minute 'slice' of the consultation was sampled for detailed content analysis using existing interaction analysis protocols for verbal behaviour and ethological techniques for non-verbal behaviour. Results Median consultation times (quartiles) differed significantly depending on the technology used. Paper-based guidelines took 21 (19–26) minutes to work through compared to 31 (16–41) minutes for the implicit tool; and 44 (39–55) minutes for the explicit tool. In the ten minutes immediately preceding the decision point, GPs dominated the conversation, accounting for 64% (58–66%) of all utterances and this trend was similar across all three arms of the trial. Information-giving was the most frequent activity for both GPs and patients, although GPs did this at twice the rate compared to patients and at higher rates in consultations involving computerised decision aids. GPs' language was highly technically focused and just 7% of their conversation was socio-emotional in content; this was half the socio-emotional content shown by patients (15%). However, frequent head nodding and a close mirroring in the direction of eye-gaze suggested that both parties

  15. Development of a Mobile System Decision-support for Medical Diagnosis of Asthma in Primary Healthcare--InteliMED.

    PubMed

    Menezes, Júlio; Gusmão, Cristine

    2015-01-01

    The structure of public and primary healthcare in Brazil is organized in a way to provide decentralized services. In theory, this scenario could enable the usage of mobile devices integrated with information systems of several purposes. In addition, there is a need of decision-support tools that are based on collected evidences, once the professional of primary healthcare, which essentially has general knowledge (non-specialist). Therefore there is a need of information that support the decision-making process on more specific contexts. This paper presents the proposal, experience of development and application of the InteliMED, a decision-support system to asthma diagnosis of children and adolescents through decision-trees and mobile devices (smartphones and tablets).

  16. Veterinary decision making in relation to metritis - a qualitative approach to understand the background for variation and bias in veterinary medical records

    PubMed Central

    Lastein, Dorte B; Vaarst, Mette; Enevoldsen, Carsten

    2009-01-01

    Background Results of analyses based on veterinary records of animal disease may be prone to variation and bias, because data collection for these registers relies on different observers in different settings as well as different treatment criteria. Understanding the human influence on data collection and the decisions related to this process may help veterinary and agricultural scientists motivate observers (veterinarians and farmers) to work more systematically, which may improve data quality. This study investigates qualitative relations between two types of records: 1) 'diagnostic data' as recordings of metritis scores and 2) 'intervention data' as recordings of medical treatment for metritis and the potential influence on quality of the data. Methods The study is based on observations in veterinary dairy practice combined with semi-structured research interviews of veterinarians working within a herd health concept where metritis diagnosis was described in detail. The observations and interviews were analysed by qualitative research methods to describe differences in the veterinarians' perceptions of metritis diagnosis (scores) and their own decisions related to diagnosis, treatment, and recording. Results The analysis demonstrates how data quality can be affected during the diagnostic procedures, as interaction occurs between diagnostics and decisions about medical treatments. Important findings were when scores lacked consistency within and between observers (variation) and when scores were adjusted to the treatment decision already made by the veterinarian (bias). The study further demonstrates that veterinarians made their decisions at 3 different levels of focus (cow, farm, population). Data quality was influenced by the veterinarians' perceptions of collection procedures, decision making and their different motivations to collect data systematically. Conclusion Both variation and bias were introduced into the data because of veterinarians' different

  17. Health-related beliefs and decisions about accessing HIV medical care among HIV-infected persons who are not receiving care.

    PubMed

    Beer, Linda; Fagan, Jennifer L; Valverde, Eduardo; Bertolli, Jeanne

    2009-09-01

    In the United States, the publically supported national HIV medical care system is designed to provide HIV medical care to those who would otherwise not receive such care. Nevertheless, many HIV-infected persons are not receiving medical care. Limited information is available from HIV-infected persons not currently in care about the reasons they are not receiving care. From November 2006 to February 2007, we conducted five focus groups at community-based organizations and health departments in five U.S. cities to elicit qualitative information about barriers to entering HIV care. The 37 participants were mostly male (n = 29), over the age of 30 (n = 34), and all but one had not received HIV medical care in the previous 6 months. The focus group discussions revealed health belief-related barriers that have often been overlooked by studies of access to care. Three key themes emerged: avoidance and disbelief of HIV serostatus, conceptions of illness and appropriate health care, and negative experiences with, and distrust of, health care. Our findings point to the potentially important influence of these health-related beliefs on individual decisions about whether to access HIV medical care. We also discuss the implications of these beliefs for provider-patient communication, and suggest that providers frame their communications with patients such that they are attentive to the issues identified by our respondents, to better engage patients as partners in the treatment process.

  18. Data-mining to build a knowledge representation store for clinical decision support. Studies on curation and validation based on machine performance in multiple choice medical licensing examinations.

    PubMed

    Robson, Barry; Boray, Srinidhi

    2016-06-01

    Extracting medical knowledge by structured data mining of many medical records and from unstructured data mining of natural language source text on the Internet will become increasingly important for clinical decision support. Output from these sources can be transformed into large numbers of elements of knowledge in a Knowledge Representation Store (KRS), here using the notation and to some extent the algebraic principles of the Q-UEL Web-based universal exchange and inference language described previously, rooted in Dirac notation from quantum mechanics and linguistic theory. In a KRS, semantic structures or statements about the world of interest to medicine are analogous to natural language sentences seen as formed from noun phrases separated by verbs, prepositions and other descriptions of relationships. A convenient method of testing and better curating these elements of knowledge is by having the computer use them to take the test of a multiple choice medical licensing examination. It is a venture which perhaps tells us almost as much about the reasoning of students and examiners as it does about the requirements for Artificial Intelligence as employed in clinical decision making. It emphasizes the role of context and of contextual probabilities as opposed to the more familiar intrinsic probabilities, and of a preliminary form of logic that we call presyllogistic reasoning.

  19. The Cochrane Lecture. The best and the enemy of the good: randomised controlled trials, uncertainty, and assessing the role of patient choice in medical decision making.

    PubMed Central

    McPherson, K

    1994-01-01

    This lecture aimed to create a bridge to span the conceptual and ideological gap between randomised controlled trials and systematic observational comparisons and to reduce unwanted and unproductive polarisation. The argument, simply put, is that since randomisation alone eliminates the selection effect of therapeutic decision making, anything short of randomisation to attribute cause to consequent outcome is a waste of time. If observational comparison does have any significant part in evaluating medical outcomes, there is a grave danger of "the best", to paraphrase Voltaire, becoming "the enemy of the good". The first section aims to emphasise the advantages of randomised controlled trials. Then the nature of an essential precondition--medical uncertainty--is discussed in terms of its extent and effect. Next, the role of patient choice in medical decision making is considered, both when outcomes can safely be attributed to treatment choice and when they cannot. There may be many important situations in which choice itself affects outcome and this could mean that random comparisons give biased estimates of true therapeutic effects. In the penultimate section, the implications of this possibility both for randomised controlled trials and for outcome research is pursued and lastly there are some simple recommendations for reliable outcome research. PMID:8138772

  20. Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record Systems

    PubMed Central

    Szlosek, Donald A; Ferrett, Jonathan

    2016-01-01

    Introduction: As the number of clinical decision support systems (CDSSs) incorporated into electronic medical records (EMRs) increases, so does the need to evaluate their effectiveness. The use of medical record review and similar manual methods for evaluating decision rules is laborious and inefficient. The authors use machine learning and Natural Language Processing (NLP) algorithms to accurately evaluate a clinical decision support rule through an EMR system, and they compare it against manual evaluation. Methods: Modeled after the EMR system EPIC at Maine Medical Center, we developed a dummy data set containing physician notes in free text for 3,621 artificial patients records undergoing a head computed tomography (CT) scan for mild traumatic brain injury after the incorporation of an electronic best practice approach. We validated the accuracy of the Best Practice Advisories (BPA) using three machine learning algorithms—C-Support Vector Classification (SVC), Decision Tree Classifier (DecisionTreeClassifier), k-nearest neighbors classifier (KNeighborsClassifier)—by comparing their accuracy for adjudicating the occurrence of a mild traumatic brain injury against manual review. We then used the best of the three algorithms to evaluate the effectiveness of the BPA, and we compared the algorithm’s evaluation of the BPA to that of manual review. Results: The electronic best practice approach was found to have a sensitivity of 98.8 percent (96.83–100.0), specificity of 10.3 percent, PPV = 7.3 percent, and NPV = 99.2 percent when reviewed manually by abstractors. Though all the machine learning algorithms were observed to have a high level of prediction, the SVC displayed the highest with a sensitivity 93.33 percent (92.49–98.84), specificity of 97.62 percent (96.53–98.38), PPV = 50.00, NPV = 99.83. The SVC algorithm was observed to have a sensitivity of 97.9 percent (94.7–99.86), specificity 10.30 percent, PPV 7.25 percent, and NPV 99.2 percent for

  1. Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

    PubMed

    Goldstein, Mary K; Coleman, Robert W; Tu, Samson W; Shankar, Ravi D; O'Connor, Martin J; Musen, Mark A; Martins, Susana B; Lavori, Philip W; Shlipak, Michael G; Oddone, Eugene; Advani, Aneel A; Gholami, Parisa; Hoffman, Brian B

    2004-01-01

    Information technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient-specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to the organizational context. We describe the application of a "sociotechnical" approach to integration of ATHENA DSS, a decision support system for the treatment of hypertension, into geographically dispersed primary care clinics. We applied an iterative technical design in response to organizational input and obtained ongoing endorsements of the project by the organization's administrative and clinical leadership. Conscious attention to organizational context at the time of development, deployment, and maintenance of the system was associated with extensive clinician use of the system.

  2. 60 FR 13701 - Medical College of Pennsylvania, et al.; Notice of Consolidated Decision on Applications for Duty...

    Federal Register 2010, 2011, 2012, 2013, 2014

    1995-03-14

    ... Hughes Medical Institute, Houston, TX 77030. Instrument: X-Ray Diffraction Image Processor, Model DIP..., 1994. Reasons: The foreign instrument provides: (1) sensitivity of 1 x-ray proton per level,...

  3. External audit of clinical practice and medical decision making in a new Asian oncology center: Results and implications for both developing and developed nations

    SciTech Connect

    Shakespeare, Thomas P. . E-mail: ThomasShakespeare@gmail.com; Back, Michael F.; Lu, Jiade J.; Lee, Khai Mun; Mukherjee, Rahul K.

    2006-03-01

    Purpose: The external audit of oncologist clinical practice is increasingly important because of the incorporation of audits into national maintenance of certification (MOC) programs. However, there are few reports of external audits of oncology practice or decision making. Our institution (The Cancer Institute, Singapore) was asked to externally audit an oncology department in a developing Asian nation, providing a unique opportunity to explore the feasibility of such a process. Methods and Materials: We audited 100 randomly selected patients simulated for radiotherapy in 2003, using a previously reported audit instrument assessing clinical documentation/quality assurance and medical decision making. Results: Clinical documentation/quality assurance, decision making, and overall performance criteria were adequate 74.4%, 88.3%, and 80.2% of the time, respectively. Overall 52.0% of cases received suboptimal management. Multivariate analysis revealed palliative intent was associated with improved documentation/clinical quality assurance (p = 0.07), decision making (p 0.007), overall performance (p = 0.003), and optimal treatment rates (p 0.07); non-small-cell lung cancer or central nervous system primary sites were associated with better decision making (p = 0.001), overall performance (p = 0.03), and optimal treatment rates (p = 0.002). Conclusions: Despite the poor results, the external audit had several benefits. It identified learning needs for future targeting, and the auditor provided facilitating feedback to address systematic errors identified. Our experience was also helpful in refining our national revalidation audit instrument. The feasibility of the external audit supports the consideration of including audit in national MOC programs.

  4. [Medical decision in a very elderly patient: a case report of application of the Leonetti law in emergency medicine].

    PubMed

    Burnod, A; Choquet, C; Houissa, H; Danis, J; Pellenc, Q; Duchateau, F X

    2014-05-01

    Advanced care decision in emergency medicine is difficult for the elderly. How to be fair, avoiding an unreasonable obstinacy? Based on the case of very old person, we show how an optimal management can be decided in accordance with the spirit of the law.

  5. Actual and Perceived Gender Differences in the Accuracy of Surrogate Decisions about Life-Sustaining Medical Treatment among Older Spouses

    ERIC Educational Resources Information Center

    Zettel-Watson, Laura; Ditto, Peter H.; Danks, Joseph H.; Smucker, William D.

    2008-01-01

    This study examined the influence of surrogate gender on the accuracy of substituted judgments about the use of life-sustaining treatment in a sample of 249 older adults and their self-selected surrogate decision-makers. Overall, wives were more accurate than husbands at predicting their spouses' treatment wishes. Surrogates' perceptions of their…

  6. 77 FR 20009 - Howard Hughes Medical Institute, et al.; Notice of Consolidated Decision on Applications for Duty...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-03

    ... Applications for Duty-Free Entry of Electron Microscope This is a decision consolidated pursuant to Section 6(c...: Electron Microscope. Manufacturer: FEI Company, Czech Republic. Intended Use: See notice at 77 FR 12240..., AR 72079. Instrument: Electron Microscope. Manufacturer: JEOL Instruments, Japan. Intended Use:...

  7. Nurses' attitudes towards end-of-life decisions in medical practice: a nationwide study in Flanders, Belgium.

    PubMed

    Inghelbrecht, E; Bilsen, J; Mortier, F; Deliens, L

    2009-10-01

    We investigated on a nationwide level the attitudes of nurses towards end-of-life decisions (ELDs) that may hasten death and towards their role in those decisions. We took a representative random sample of 6000 nurses in Flanders, Belgium. Response rate was 62.5%. Most nurses agreed with the practice of withholding/withdrawing potentially life-prolonging treatments (93%), with decisions to alleviate symptoms with possible life-shortening side effects (96%) and with the practice of euthanasia (92%). Their support for the different decisions existed regardless of whether they had cared for terminally ill patients or not. Most nurses also thought that they have an important role to play especially in the ELD-making process. Nurses' views on their proper role in the administration of drugs in euthanasia and continuous deep sedation showed a large dispersal. Overall, nurses' work setting determines their opinions on nurses' role in ELDs. In conclusion, nurses accept a wide variety of ELDs being practiced with terminally ill patients.

  8. Use of Clinical Decision Guidance as a New Public Health Tool for the Medical Management of Internal Contamination in Radiological Mass Casualty Scenarios.

    PubMed

    Wiley, Albert L

    2016-09-01

    This review is a discussion of special issues associated with the medical and public health management of persons at risk of internal contamination from radionuclides, following various radiological mass-casualty scenarios, as well as definition, discussion and use of the Clinical Decision Guidance (CDG) in such scenarios. Specific medical countermeasures are available for reducing the internal radiation dose and the subsequent stochastic and deterministic risks to persons internally contaminated with radionuclides from nuclear power plant, fuel processing and nuclear weapon accidents/incidents. There is a public health need for rapidly identifying and quantifying the 'source term' of such radiation exposures and assessment of the associated committed doses, so that appropriate medical countermeasure(s) can be given as soon as possible. The CDG, which was initially defined in NCRP-161, was specifically developed to be a new public health tool for facilitating the integration of local community healthcare professionals into the general medical, mass casualty, triage and treatment response of internally contaminated populations.

  9. A Qualitative Study on Factors that Influence Turkish Medical Students’ Decisions to Become Family Physicians After the Health Transformation Programme

    PubMed Central

    Tanriover, Ozlem; Hidiroglu, Seyhan; Akan, Hulya; Ay, Pinar; Erdogan, Yalcin; Karavus, Melda; Vitrinel, Ayca; Hayran, Osman

    2014-01-01

    Background: In Turkey, general practitioners were authorized to work as family physicians without specialization, within the scope of the Health Transformation Programme, due to inadequate number of family medicine specialists since 2004. With this new implementation Family Medicine specialty became a less preferable option for medical students. Aims: The study was to investigate the perspectives of medical students and understand the issues to choose Family Medicine specialty as a career option. Materials and Methods: This qualitative study was performed with 48 final year medical students using a convenience sample from two medical universities. Results: Three main categories emerged from the data viewing Family Medicine ‘as a specialty’, ‘as an employment’, and finally ‘as a system’. Very few students stated that Family Medicine would be their choice for specialty. Conclusions: Family Medicine does not seem to be an attractive option in career planning by medical students. Several factors that may constrain students from choosing Family Medicine include: not perceiving Family Medicine as a field of expertise, and the adverse conditions at work which may originate from duality in the system. PMID:25006564

  10. The clinical decision analysis using decision tree.

    PubMed

    Bae, Jong-Myon

    2014-01-01

    The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients' value.

  11. The clinical decision analysis using decision tree

    PubMed Central

    Bae, Jong-Myon

    2014-01-01

    The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients’ value. PMID:25358466

  12. [Choice and disclosure of preferences, towards sharing the therapeutic decision in cancerology: from economic theory to medical practice].

    PubMed

    Protière, C; Moatti, J P; Maraninchi, D; Viens, P

    1998-02-01

    Today, as it is often difficult to demonstrate the superiority of a new molecule or a therapeutic strategy in term of plain efficacy on disease, the incitement is strong to provide some complementary argument of assessment, we are assisting to the emergence of a new concept: shared therapeutic decision making. Is the application of this concept--with make the paternalistic model questionnable--adapted to all cases? What are the different levels of participation that could be envisaged? Are there favourable methods for this participations? This shared decision making--direct (patients' choice between treatment options) or indirect (integration of elicited preferences in the decision process)--if it has to be efficient, must surround with care: to define its application limitation, to protect itself of manipulation. It shall require to consider information transmission difficulties, to establish some elicitation preference method. Some technical, such as time trade off, standard gamble or willingness to pay, supported by economic theory of expected utility, permit to help eliciting patients' preferences and to structure the therapeutic choice. Some empirical study of preference elicitation shall permit to get clear the complexity of trade off between the different choice element that could enter in the acceptability of the treatment for patients.

  13. The Association Between Use of a Clinical Decision Support Tool and Adherence to Monitoring for Medication-Laboratory Guidelines in the Ambulatory Setting

    PubMed Central

    Lau, B.; Overby, C. L.; Wirtz, H. S.; Devine, E. B.

    2013-01-01

    Summary Background Stage 2 Meaningful Use criteria require the use of clinical decision support systems (CDSS) on high priority health conditions to improve clinical quality measures. Although CDSS hold great promise, implementation has been fraught with challenges, evidence of their impact is mixed, and the optimal method of content delivery is unknown. Objective The authors investigated whether implementation of a simple clinical decision support (CDS) tool was associated with improved prescriber adherence to national medication-laboratory monitoring guidelines for safety (hepatic function, renal function, myalgias/rhabdomyolysis) and intermediate outcomes for antidiabetic (Hemoglobin A1c; HbA1c) and antihyperlipidemic (low density lipoprotein; LDL) medications prescribed within a diabetes registry. Methods This was a retrospective observational study conducted in three phases of CDS implementation (2008–2009): pre-, transition-, and post-Prescriptions evaluated were ordered from an electronic health record within a multispecialty medical group. Adherence was evaluated within and without applying guideline-imposed time constraints. Results Forty-thousand prescriptions were ordered over three timeframes. For hepatic and renal function, the proportion of prescriptions for which labs were monitored at any time increased from 52% to 65% (p<0.001); those that met time guidelines, from 14% to 21% (p<0.001). Only 6% of required labs were drawn to monitor for myalgias/rhabdomyolysis, regardless of timeframe. Over 90% of safety labs were within normal limits. The proportion of labs monitored at any time for LDL increased from 56% to 64% (p<0.001); those that met time guidelines from 11% to 17% (p<0.001). The proportion of labs monitored at any time for HbA1c remained the same (72%); those that met time guidelines decreased from 45% to 41% (p<0.001). Conclusion A simple CDS tool may be associated with improved adherence to guidelines. Efforts are needed to confirm

  14. Value as the key concept in the health care system: how it has influenced medical practice and clinical decision-making processes

    PubMed Central

    Marzorati, Chiara; Pravettoni, Gabriella

    2017-01-01

    In the last 10 years, value has played a key role in the health care system. In this concept, innovations in medical practice and the increasing importance of patient centeredness have contributed to draw the attention of the medical community. Nonetheless, a large consensus on the meaning of “value” is still lacking: patients, physicians, policy makers, and other health care professionals have different ideas on which component of value may play a prominent role. Yet, shared clinical decision-making and patient empowerment have been recognized as fundamental features of the concept of value. Different paradigms of health care system embrace different meanings of value, and the absence of common and widely accepted definition does not help to identify a unique model of care in health care system. Our aim is to provide an overview of those paradigms that have considered value as a key theoretical concept and to investigate how the presence of value can influence the medical practice. This article may contribute to draw attention toward patients and propose a possible link between health care system based on “value” and new paradigms such as patient-centered system (PCS), patient empowerment, and P5 medicine, in order to create a predictive, personalized, preventive, participatory, and psycho-cognitive model to treat patients. Indeed, patient empowerment, value-based system, and P5 medicine seem to shed light on different aspects of a PCS, and this allows a better understanding of people under care. PMID:28356752

  15. Value as the key concept in the health care system: how it has influenced medical practice and clinical decision-making processes.

    PubMed

    Marzorati, Chiara; Pravettoni, Gabriella

    2017-01-01

    In the last 10 years, value has played a key role in the health care system. In this concept, innovations in medical practice and the increasing importance of patient centeredness have contributed to draw the attention of the medical community. Nonetheless, a large consensus on the meaning of "value" is still lacking: patients, physicians, policy makers, and other health care professionals have different ideas on which component of value may play a prominent role. Yet, shared clinical decision-making and patient empowerment have been recognized as fundamental features of the concept of value. Different paradigms of health care system embrace different meanings of value, and the absence of common and widely accepted definition does not help to identify a unique model of care in health care system. Our aim is to provide an overview of those paradigms that have considered value as a key theoretical concept and to investigate how the presence of value can influence the medical practice. This article may contribute to draw attention toward patients and propose a possible link between health care system based on "value" and new paradigms such as patient-centered system (PCS), patient empowerment, and P5 medicine, in order to create a predictive, personalized, preventive, participatory, and psycho-cognitive model to treat patients. Indeed, patient empowerment, value-based system, and P5 medicine seem to shed light on different aspects of a PCS, and this allows a better understanding of people under care.

  16. A method for fuzzy soft sets in decision making based on grey relational analysis and d-s theory of evidence: application to medical diagnosis.

    PubMed

    Xie, Ningxin; Wen, Guoqiu; Li, Zhaowen

    2014-01-01

    A method based on grey relational analysis and D-S theory of evidence is proposed for fuzzy soft sets in decision making. Firstly, grey relational analysis is used to calculate grey mean relational degrees and determine uncertain degrees of parameters. Then based on uncertain degrees, suitable mass functions of different independent alternatives with different parameters can be constructed. Next, D-S rule of evidence combination is applied to aggregate these alternatives into a collective alternative. Finally, these alternatives are ranked and the best alternative(s) are obtained. Moreover, the effectiveness and feasibility of this method are demonstrated by comparing with the mean potentiality approach and giving an application to medical diagnosis.

  17. Cost-effectiveness of a shared computerized decision support system for diabetes linked to electronic medical records

    PubMed Central

    Holbrook, Anne; Blackhouse, Gordon; Troyan, Sue; Goeree, Ron

    2011-01-01

    Background Computerized decision support systems (CDSSs) are believed to enhance patient care and reduce healthcare costs; however the current evidence is limited and the cost-effectiveness remains unknown. Objective To estimate the long-term cost-effectiveness of a CDSS linked to evidence-based treatment recommendations for type 2 diabetes. Methods Using the Ontario Diabetes Economic Model, changes in factors (eg, HbA1c) from a randomized controlled trial were used to estimate cost-effectiveness. The cost of implementation, development, and maintenance of the core dataset, and projected diabetes-related complications were included. The base case assumed a 1-year treatment effect, 5% discount rate, and 40-year time horizon. Univariate, one-way sensitivity analyses were carried out by altering different parameter values. The perspective was the Ontario Ministry of Health and costs were in 2010 Canadian dollars. Results The cost of implementing the intervention was $483 699. The one-year intervention reduced HbA1c by 0.2 and systolic blood pressure by 3.95 mm Hg, but increased body mass index by 0.02 kg/m2, resulting in a relative risk reduction of 14% in the occurrence of amputation. The model estimated that the intervention resulted in an additional 0.0117 quality-adjusted life year; the incremental cost-effectiveness ratio was $160 845 per quality-adjusted life-year. Conclusion The web-based prototype decision support system slightly improved short-term risk factors. The model predicted moderate improvements in long-term health outcomes. This disease management program will need to develop considerable efficiencies in terms of costs and processes or improved effectiveness to be considered a cost-effective intervention for treating patients with type 2 diabetes. PMID:22052900

  18. Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.

    PubMed

    González-Ferrer, A; Peleg, M; Marcos, M; Maldonado, J A

    2016-07-01

    Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients' data. This is most effectively done via intermediate data schemas, which enable querying the data according to the semantics of a shared standard intermediate schema. This study aims to evaluate the use of HL7 virtual medical record (vMR) and openEHR archetypes as intermediate schemas for capturing clinical statements from CIGs that are mappable to electronic health records (EHRs) containing patient data and patient-specific recommendations. Using qualitative research methods, we analyzed the encoding of ten representative clinical statements taken from two CIGs used in real decision-support systems into two health information models (openEHR archetypes and HL7 vMR instances) by four experienced informaticians. Discussion among the modelers about each case study example greatly increased our understanding of the capabilities of these standards, which we share in this educational paper. Differing in content and structure, the openEHR archetypes were found to contain a greater level of representational detail and structure while the vMR representations took fewer steps to complete. The use of openEHR in the encoding of CIG clinical statements could potentially facilitate applications other than decision-support, including intelligent data analysis and integration of additional properties of data items from existing EHRs. On the other hand, due to their smaller size and fewer details, the use of vMR potentially supports quicker mapping of EHR data into clinical statements.

  19. Decisive evidence on a smaller-than-you-think phenomenon: revisiting the "1-in-X" effect on subjective medical probabilities.

    PubMed

    Sirota, Miroslav; Juanchich, Marie; Kostopoulou, Olga; Hanak, Robert

    2014-05-01

    Accurate perception of medical probabilities communicated to patients is a cornerstone of informed decision making. People, however, are prone to biases in probability perception. Recently, Pighin and others extended the list of such biases with evidence that "1-in-X" ratios (e.g., "1 in 12") led to greater perceived probability and worry about health outcomes than "N-in-X*N" ratios (e.g., "10 in 120"). Subsequently, the recommendation was to avoid using "1-in-X" ratios when communicating probabilistic information to patients. To warrant such a recommendation, we conducted 5 well-powered replications and synthesized the available data. We found that 3 out of the 5 replications yielded statistically nonsignificant findings. In addition, our results showed that the "1-in-X" effect was not moderated by numeracy, cognitive reflection, age, or gender. To quantify the evidence for the effect, we conducted a Bayes factor meta-analysis and a traditional meta-analysis of our 5 studies and those of Pighin and others (11 comparisons, N = 1131). The meta-analytical Bayes factor, which allowed assessment of the evidence for the null hypothesis, was very low, providing decisive evidence to support the existence of the "1-in-X" effect. The traditional meta-analysis showed that the overall effect was significant (Hedges' g = 0.42, 95% CI 0.29-0.54). Overall, we provide decisive evidence for the existence of the "1-in-X" effect but suggest that it is smaller than previously estimated. Theoretical and practical implications are discussed.

  20. Asthma Medications and Pregnancy

    MedlinePlus

    ... Associated Conditions Asthma and Pregnancy Asthma Medications Asthma Medications Make an Appointment Refer a Patient Ask a ... for both mother and child. Making Decisions about Medication During Pregnancy It is important that your asthma ...

  1. Integrated approach for designing medical decision support systems with knowledge extracted from clinical databases by statistical methods.

    PubMed Central

    Krusinska, E.; Babic, A.; Chowdhury, S.; Wigertz, O.; Bodemar, G.; Mathiesen, U.

    1991-01-01

    In clinical research data is often studied by a particular method without previous analysis of quality or semantic contents which could link clinical database and data analytical (e.g. statistical) procedures. In order to avoid bias caused by this situation, we propose that the analysis of medical data should be divided into two main steps. In the first one we concentrate on conducting the quality, semantic and structure analyses. In the second step our aim is to build an appropriate dictionary of data analysis methods for further knowledge extraction. Methods like robust statistical techniques, procedures for mixed continuous and discrete data, fuzzy linguistic approach, machine learning and neural networks can be included. The results may be evaluated both using test samples and applying other relevant data-analytical techniques to the particular problem under the study. PMID:1807621

  2. Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives.

    PubMed

    Sirajuddin, Anwar M; Osheroff, Jerome A; Sittig, Dean F; Chuo, John; Velasco, Ferdinand; Collins, David A

    2009-01-01

    Effective clinical decision support (CDS) is essential for addressing healthcare performance improvement imperatives, but care delivery organizations (CDO) typically struggle with CDS deployment. Ensuring safe and effective medication delivery to patients is a central focus of CDO performance improvement efforts, and this article provides an overview of best-practice strategies for applying CDS to these goals. The strategies discussed are drawn from a new guidebook, co-published and co-sponsored by more than a dozen leading organizations. Developed by scores of CDS implementers and experts, the guidebook outlines key steps and success factors for applying CDS to medication management. A central thesis is that improving outcomes with CDS interventions requires that the CDS five rights be addressed successfully. That is, the interventions must deliver the right information, to the right person, in the right format, through the right channel, at the right point in workflow. This paper provides further details about these CDS five rights, and highlights other important strategies for successful CDS programs.

  3. Medical tourism.

    PubMed

    Tompkins, Olga S

    2010-01-01

    Medical tourism is becoming popular as an alternative to the high cost of health care in the United States and as an inexpensive resource for cosmetic surgery. The occupational health nurse is an excellent resource to assist in the pre-decision due diligence and post-decision travel health counseling.

  4. Beyond Metformin: Safety Considerations in the Decision-Making Process for Selecting a Second Medication for Type 2 Diabetes Management

    PubMed Central

    Buse, John B.; Del Prato, Stefano; Home, Philip D.; LeRoith, Derek; Nauck, Michael A.; Raz, Itamar; Rosenstock, Julio; Riddle, Matthew C.

    2014-01-01

    The trend toward personalized management of diabetes has focused attention on the differences among available pharmacological agents in terms of mechanisms of action, efficacy, and, most important, safety. Clinicians must select from these features to develop individualized therapy regimens. In June 2013, a nine-member Diabetes Care Editors’ Expert Forum convened to review safety evidence for six major diabetes drug classes: insulin, sulfonylureas (SUs), thiazolidinediones (TZDs), glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, and sodium glucose cotransporter 2 inhibitors. This article, an outgrowth of the forum, summarizes well-delineated and theoretical safety concerns related to these drug classes, as well as the panelists’ opinions regarding their best use in patients with type 2 diabetes. All of the options appear to have reasonably wide safety margins when used appropriately. Those about which we know the most—metformin, SUs, insulin, and perhaps now also TZDs—are efficacious in most patients and can be placed into a basic initial algorithm. However, these agents leave some clinical needs unmet. Selecting next steps is a more formidable process involving newer agents that are understood less well and for which there are unresolved questions regarding risk versus benefit in certain populations. Choosing a specific agent is not as important as implementing some form of early intervention and advancing rapidly to some form of combination therapy as needed. When all options are relatively safe given the benefits they confer, therapeutic decision making must rely on a personalized approach, taking into account patients’ clinical circumstances, phenotype, pathophysiological defects, preferences, abilities, and costs. PMID:25147257

  5. Ontology driven decision support systems for medical diagnosis - an interactive form for consultation in patients with plasma cell disease.

    PubMed

    Donfack Guefack, Valéry; Bertaud Gounot, Valérie; Duvauferrier, Régis; Bourde, Annabel; Morelli, John; Lasbleiz, Jérémy

    2012-01-01

    Multiple myeloma (MM) is a malignant disorder characterized by the monoclonal proliferation of B cell derived plasma cells in the bone marrow. The diagnosis depends on the identification of abnormal monoclonal marrow plasma cells, monoclonal protein in the serum or urine, evidence of end-organ damage, and a clinical picture consistent with MM. The distinction between MM stages- monoclonal gammopathy of undetermined significance or indolent myeloma-is critical in guiding therapy. This paper describes how to produce ontology-driven semiological rules base (SRB) and a consultation form to aid in the diagnosis of plasma cells diseases. We have extracted the MM sub-ontology from the NCI Thesaurus. Using Protégé 3.4.2 and owl1, criteria in the literature for the diagnosis and staging of MM have been added to the ontology. All quantitative parameters have been transformed to a qualitative format. A formal description of MM variants and stages has been given. The obtained ontology has been checked by a reasoner and instantiated to obtain a SRB. The form created has been tested and evaluated utilizing 63 clinical medical reports. The likelihood for a disease being the correct diagnosis is determined by computing a ratio. The resulting tool is relevant for MM diagnosis and staging.

  6. The Physician's Role in Ethical Decisions

    ERIC Educational Resources Information Center

    Chevalier, Robert B.

    1977-01-01

    Many medical issues today require ethical as well as strictly medical decisions. Described is the need for the inclusion of medical ethics in the schools, beginning with science ethics in the secondary level and continuing through medical school. (MA)

  7. Decision support using anesthesia information management system records and accreditation council for graduate medical education case logs for resident operating room assignments.

    PubMed

    Wanderer, Jonathan P; Charnin, Jonathan; Driscoll, William D; Bailin, Michael T; Baker, Keith

    2013-08-01

    Our goal in this study was to develop decision support systems for resident operating room (OR) assignments using anesthesia information management system (AIMS) records and Accreditation Council for Graduate Medical Education (ACGME) case logs and evaluate the implementations. We developed 2 Web-based systems: an ACGME case-log visualization tool, and Residents Helping in Navigating OR Scheduling (Rhinos), an interactive system that solicits OR assignment requests from residents and creates resident profiles. Resident profiles are snapshots of the cases and procedures each resident has done and were derived from AIMS records and ACGME case logs. A Rhinos pilot was performed for 6 weeks on 2 clinical services. One hundred sixty-five requests were entered and used in OR assignment decisions by a single attending anesthesiologist. Each request consisted of a rank ordered list of up to 3 ORs. Residents had access to detailed information about these cases including surgeon and patient name, age, procedure type, and admission status. Success rates at matching resident requests were determined by comparing requests with AIMS records. Of the 165 requests, 87 first-choice matches (52.7%), 27 second-choice matches (16.4%), and 8 third-choice matches (4.8%) were made. Forty-three requests were unmatched (26.1%). Thirty-nine first-choice requests overlapped (23.6%). Full implementation followed on 8 clinical services for 8 weeks. Seven hundred fifty-four requests were reviewed by 15 attending anesthesiologists, with 339 first-choice matches (45.0%), 122 second-choice matches (16.2%), 55 third-choice matches (7.3%), and 238 unmatched (31.5%). There were 279 overlapping first-choice requests (37.0%). The overall combined match success rate was 69.4%. Separately, we developed an ACGME case-log visualization tool that allows individual resident experiences to be compared against case minimums as well as resident peer groups. We conclude that it is feasible to use ACGME case

  8. Standards for reporting randomized controlled trials in medical informatics: a systematic review of CONSORT adherence in RCTs on clinical decision support

    PubMed Central

    Berntsen, G; Lassen, K; Bellika, J G; Wootton, R; Lindsetmo, R O

    2011-01-01

    Introduction The Consolidated Standards for Reporting Trials (CONSORT) were published to standardize reporting and improve the quality of clinical trials. The objective of this study is to assess CONSORT adherence in randomized clinical trials (RCT) of disease specific clinical decision support (CDS). Methods A systematic search was conducted of the Medline, EMBASE, and Cochrane databases. RCTs on CDS were assessed against CONSORT guidelines and the Jadad score. Result 32 of 3784 papers identified in the primary search were included in the final review. 181 702 patients and 7315 physicians participated in the selected trials. Most trials were performed in primary care (22), including 897 general practitioner offices. RCTs assessing CDS for asthma (4), diabetes (4), and hyperlipidemia (3) were the most common. Thirteen CDS systems (40%) were implemented in electronic medical records, and 14 (43%) provided automatic alerts. CONSORT and Jadad scores were generally low; the mean CONSORT score was 30.75 (95% CI 27.0 to 34.5), median score 32, range 21–38. Fourteen trials (43%) did not clearly define the study objective, and 11 studies (34%) did not include a sample size calculation. Outcome measures were adequately identified and defined in 23 (71%) trials; adverse events or side effects were not reported in 20 trials (62%). Thirteen trials (40%) were of superior quality according to the Jadad score (≥3 points). Six trials (18%) reported on long-term implementation of CDS. Conclusion The overall quality of reporting RCTs was low. There is a need to develop standards for reporting RCTs in medical informatics. PMID:21803926

  9. Bilastine in allergic rhinoconjunctivitis and urticaria: a practical approach to treatment decisions based on queries received by the medical information department

    PubMed Central

    Leceta, Amalia; Sologuren, Ander; Valiente, Román; Campo, Cristina; Labeaga, Luis

    2017-01-01

    Background Bilastine is a safe and effective commonly prescribed non-sedating H1-antihistamine approved for symptomatic treatment in patients with allergic disorders such as rhinoconjunctivitis and urticaria. It was evaluated in many patients throughout the clinical development required for its approval, but clinical trials generally exclude many patients who will benefit in everyday clinical practice (especially those with coexisting diseases and/or being treated with concomitant drugs). Following its introduction into clinical practice, the Medical Information Specialists at Faes Farma have received many practical queries regarding the optimal use of bilastine in different circumstances. Data sources and methods Queries received by the Medical Information Department and the responses provided to senders of these queries. Results The most frequent questions received by the Medical Information Department included the potential for drug-drug interactions with bilastine and commonly used agents such as anticoagulants (including the novel oral anticoagulants), antiretrovirals, antituberculosis regimens, corticosteroids, digoxin, oral contraceptives, and proton pump inhibitors. Most of these medicines are not usually allowed in clinical trials, and so advice needs to be based upon the pharmacological profiles of the drugs involved and expert opinion. The pharmacokinetic profile of bilastine appears favourable since it undergoes negligible metabolism and is almost exclusively eliminated via renal excretion, and it neither induces nor inhibits the activity of several isoenzymes from the CYP 450 system. Consequently, bilastine does not interact with cytochrome metabolic pathways. Other queries involved specific patient groups such as subjects with renal impairment, women who are breastfeeding or who are trying to become pregnant, and patients with other concomitant diseases. Interestingly, several questions related to topics that are well covered in the Summary of Product

  10. ANNOTATION TAKEN, IN THE PERSPECTIVE OF CRIMINAL AND CONSTITUTIONAL LAW, AS WELL AS IN CRIMINOLOGY, TO THE DECISION OF THE PORTUGUESE CONSTITUTIONAL COURT, OF JANUARY 13, 2011--WITH RESPECT TO THE PROBLEMS OF "CONSENT" AND "MEDICAL ACT".

    PubMed

    Bandeira, Gonçalo S de Melo

    2014-07-01

    1--Summary of the decision taken by the Portuguese Constitutional Court, of January 13, 2011; 2--Complete text of the decision of the Portuguese Constitutional Court, of January 13, 2011, Judge Maria João ANTUNES (Reporter), Judge Carlos Pamplona de OLIVEIRA, Judge José Borges SOEIRO, Judge Gil GALVÃO, Judge Rui Manuel Moura RAMOS (President)--in terms of the appositive declaration to the sentence n. 487/2010: t.c.http://www. tribunalconstitucional.pt, August 1, 2011; 3--Brief annotation to the problem of the "medical act"; 3.1--Plus some conclusions on the brief annotation to the problem of the "medical act"; 3.2--Brief annotation to the problem of "consent"--continuation of the previous comments; 4--Conclusions. It must never be forgotten that "consent" does not stand as the only cause of exclusion of unlawfulness.

  11. Costs, Control or Just Good Clinical Practice? The Use of Antipsychotic Medications and Formulary Decision-Making in Large U.S. Prisons and Jails

    ERIC Educational Resources Information Center

    Veysey, Bonita M.; Stenius, Vanja; Mazade, Noel; Schacht, Lucille

    2007-01-01

    Medications are central to the psychiatric armamentorium in U.S. jails and prisons. Psychiatric medications are used both to stabilize acute symptoms as well as maintain mental health once symptoms are reduced. Both jails and prisons rely heavily on traditional antipsychotics, but both have a full array of atypical medications in their…

  12. Attitudes of Oncologists, Oncology Nurses, and Patients from a Women's Clinic Regarding Medical Decision Making for Older and Younger Breast Cancer Patients.

    ERIC Educational Resources Information Center

    Beisecker, Analee E.; And Others

    1994-01-01

    Administered Beisecker Locus of Authority in Decision Making: Breast Cancer survey to 67 oncologists, 94 oncology nurses, and 288 patients from women's clinic. All groups believed that physicians should have dominant role in decision making. Nurses felt that patients should have more input than patients or physicians felt they should. Physicians…

  13. Teaching Medical Ethics to Medical Students.

    ERIC Educational Resources Information Center

    Loewy, Erich H.

    1986-01-01

    The evolution and goals of teaching medical ethics, the nature of medical ethics, and integrating such teaching into the curriculum are examined. Because moral considerations are as much a part of medical decisions as technical considerations, teaching is best done in the context of real cases. (Author/MLW)

  14. Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-Health tools versus print materials: A randomized controlled trial

    PubMed Central

    Heisler, Michele; Choi, Hwajung; Palmisano, Gloria; Mase, Rebecca; Richardson, Caroline; Fagerlin, Angela; Montori, Victor M.; Spencer, Michael; An, Laurence C.

    2015-01-01

    Background Health care centers serving low-income communities have scarce resources to support medication decision-making among patients with poorly controlled diabetes. Objective We compared outcomes between community health worker (CHW) use of a tailored, interactive web-based tablet-delivered tool (iDecide) versus use of print educational materials. Design A randomized two-arm trial from 2011-2013. Trial Registration NCT01427660. Setting Community health center in Detroit serving a Latino and African American low-income population. Participants 188 adults with a hemoglobinA1c >7.5% (55%) or who reported questions, concerns, or difficulty taking diabetes medications Primary Funding Sources Agency for Health Care Quality and Research (1R18HS019256-01) and P30DK092926 (MCDTR) Measurements Primary outcomes were changes in knowledge about anti-hyperglycemic medications, patient-reported medication decisional conflict, and satisfaction with anti-hyperglycemic medication information. We also examined changes in diabetes distress, self-efficacy, medication adherence, and A1c. Intervention Participants were randomized to receive a 1-2 hour session with a CHW using either iDecide or printed educational materials and two follow-up calls. Results 94% of participants completed three-month follow-up. Both groups improved across most measures. iDecide participants reported greater improvements in satisfaction with medication information (helpfulness, p=.007; clarity, p=.03) and in diabetes distress compared to the print materials group (p<0.001). There were no differences between groups in other outcomes. Limitations The study was conducted at one health center over a short period, and the CHWs were experienced in behavioral counseling, thus possibly mitigating the need for additional support tools. Conclusions Most outcomes were similarly improved among participants receiving both types of diabetes medication decision-making support. Longer-term evaluations are necessary to

  15. Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system.

    PubMed

    Woods, Allie D; Mulherin, David P; Flynn, Allen J; Stevenson, James G; Zimmerman, Christopher R; Chaffee, Bruce W

    2014-01-01

    The specificity of medication-related alerts must be improved to overcome the pernicious effects of alert fatigue. A systematic comparison of new drug orders to historical orders could improve alert specificity and relevance. Using historical order data from a computerized provider order entry system, we alerted physicians to atypical orders during the prescribing of five medications: calcium, clopidogrel, heparin, magnesium, and potassium. The percentage of atypical orders placed for these five medications decreased during the 92 days the alerts were active when compared to the same period in the previous year (from 0.81% to 0.53%; p=0.015). Some atypical orders were appropriate. Fifty of the 68 atypical order alerts were over-ridden (74%). However, the over-ride rate is misleading because 28 of the atypical medication orders (41%) were changed. Atypical order alerts were relatively few, identified problems with frequencies as well as doses, and had a higher specificity than dose check alerts.

  16. The Integrated Medical Model

    NASA Technical Reports Server (NTRS)

    Butler, Douglas J.; Kerstman, Eric

    2010-01-01

    This slide presentation reviews the goals and approach for the Integrated Medical Model (IMM). The IMM is a software decision support tool that forecasts medical events during spaceflight and optimizes medical systems during simulations. It includes information on the software capabilities, program stakeholders, use history, and the software logic.

  17. Value-Based Assessment of New Medical Technologies: Towards a Robust Methodological Framework for the Application of Multiple Criteria Decision Analysis in the Context of Health Technology Assessment.

    PubMed

    Angelis, Aris; Kanavos, Panos

    2016-05-01

    In recent years, multiple criteria decision analysis (MCDA) has emerged as a likely alternative to address shortcomings in health technology assessment (HTA) by offering a more holistic perspective to value assessment and acting as an alternative priority setting tool. In this paper, we argue that MCDA needs to subscribe to robust methodological processes related to the selection of objectives, criteria and attributes in order to be meaningful in the context of healthcare decision making and fulfil its role in value-based assessment (VBA). We propose a methodological process, based on multi-attribute value theory (MAVT) methods comprising five distinct phases, outline the stages involved in each phase and discuss their relevance in the HTA process. Importantly, criteria and attributes need to satisfy a set of desired properties, otherwise the outcome of the analysis can produce spurious results and misleading recommendations. Assuming the methodological process we propose is adhered to, the application of MCDA presents three very distinct advantages to decision makers in the context of HTA and VBA: first, it acts as an instrument for eliciting preferences on the performance of alternative options across a wider set of explicit criteria, leading to a more complete assessment of value; second, it allows the elicitation of preferences across the criteria themselves to reflect differences in their relative importance; and, third, the entire process of preference elicitation can be informed by direct stakeholder engagement, and can therefore reflect their own preferences. All features are fully transparent and facilitate decision making.

  18. Decision making.

    PubMed

    Chambers, David W

    2011-01-01

    A decision is a commitment of resources under conditions of risk in expectation of the best future outcome. The smart decision is always the strategy with the best overall expected value-the best combination of facts and values. Some of the special circumstances involved in decision making are discussed, including decisions where there are multiple goals, those where more than one person is involved in making the decision, using trigger points, framing decisions correctly, commitments to lost causes, and expert decision makers. A complex example of deciding about removal of asymptomatic third molars, with and without an EBD search, is discussed.

  19. Are Providers More Likely to Contribute to Healthcare Disparities Under High Levels of Cognitive Load? How Features of the Healthcare Setting May Lead to Biases in Medical Decision Making

    PubMed Central

    Burgess, Diana J.

    2014-01-01

    Systematic reviews of healthcare disparities suggest that clinicians’ diagnostic and therapeutic decision making varies by clinically irrelevant characteristics, such as patient race, and that this variation may contribute to healthcare disparities. However, there is little understanding of the particular features of the healthcare setting under which clinicians are most likely to be inappropriately influenced by these characteristics. This study delineates several hypotheses to stimulate future research in this area. It is posited that healthcare settings in which providers experience high levels of cognitive load will increase the likelihood of racial disparities via 2 pathways. First, providers who experience higher levels of cognitive load are hypothesized to make poorer medical decisions and provide poorer care for all patients, due to lower levels of controlled processing (H1). Second, under greater levels of cognitive load, it is hypothesized that healthcare providers’ medical decisions and interpersonal behaviors will be more likely to be influenced by racial stereotypes, leading to poorer processes and outcomes of care for racial minority patients (H2). It is further hypothesized that certain characteristics of healthcare settings will result in higher levels of cognitive load experienced by providers (H3). Finally, it is hypothesized that minority patients will be disproportionately likely to be treated in healthcare settings in which providers experience greater levels of cognitive load (H4a), which will result in racial disparities due to lower levels of controlled processing by providers (H4b) and the influence of racial stereotypes (H4c).The study concludes with implications for research and practice that flow from this framework. PMID:19726783

  20. End-of-Life Decisions

    MedlinePlus

    ... assertive and persistent in seeking information and in speaking up on your loved one’s behalf. It is ... same medical decisions that the individual you are speaking for would have made. To do this you ...

  1. Information Literacy for Users at the National Medical Library of Cuba: Cochrane Library Course for the Search of Best Evidence for Clinical Decisions

    ERIC Educational Resources Information Center

    Santana Arroyo, Sonia; del Carmen Gonzalez Rivero, Maria

    2012-01-01

    The National Medical Library of Cuba is currently developing an information literacy program to train users in the use of biomedical databases. This paper describes the experience with the course "Cochrane Library: Evidence-Based Medicine," which aims to teach users how to make the best use of this database, as well as the evidence-based…

  2. Decision technology.

    PubMed

    Edwards, W; Fasolo, B

    2001-01-01

    This review is about decision technology-the rules and tools that help us make wiser decisions. First, we review the three rules that are at the heart of most traditional decision technology-multi-attribute utility, Bayes' theorem, and subjective expected utility maximization. Since the inception of decision research, these rules have prescribed how we should infer values and probabilities and how we should combine them to make better decisions. We suggest how to make best use of all three rules in a comprehensive 19-step model. The remainder of the review explores recently developed tools of decision technology. It examines the characteristics and problems of decision-facilitating sites on the World Wide Web. Such sites now provide anyone who can use a personal computer with access to very sophisticated decision-aiding tools structured mainly to facilitate consumer decision making. It seems likely that the Web will be the mode by means of which decision tools will be distributed to lay users. But methods for doing such apparently simple things as winnowing 3000 options down to a more reasonable number, like 10, contain traps for unwary decision technologists. The review briefly examines Bayes nets and influence diagrams-judgment and decision-making tools that are available as computer programs. It very briefly summarizes the state of the art of eliciting probabilities from experts. It concludes that decision tools will be as important in the 21st century as spreadsheets were in the 20th.

  3. Medical Issues: Nutrition

    MedlinePlus

    ... support & care > living with sma > medical issues > nutrition Nutrition Good nutrition is essential to health and growth. ... must make decisions based on their own needs. Nutrition Considerations Since we are still waiting for clinical ...

  4. Treatment decisions under ambiguity.

    PubMed

    Berger, Loïc; Bleichrodt, Han; Eeckhoudt, Louis

    2013-05-01

    Many health risks are ambiguous in the sense that reliable and credible information about these risks is unavailable. In health economics, ambiguity is usually handled through sensitivity analysis, which implicitly assumes that people are neutral towards ambiguity. However, empirical evidence suggests that people are averse to ambiguity and react strongly to it. This paper studies the effects of ambiguity aversion on two classical medical decision problems. If there is ambiguity regarding the diagnosis of a patient, ambiguity aversion increases the decision maker's propensity to opt for treatment. On the other hand, in the case of ambiguity regarding the effects of treatment, ambiguity aversion leads to a reduction in the propensity to choose treatment.

  5. Organizational Decisions.

    DTIC Science & Technology

    1982-03-01

    240 finance departments of county, city and state governments’ promotion decisions, Halabv (1976) obtained evidence that the analysis of the decision...oper- ations research techniques and practicing finance managers avoid complex mathematical models in favor of a few simple rules in investment decision...likely its managers to spend time with outside organizations. Similarly, organizations that depend on outside financing select more outside members

  6. CHESS: a computer-based system for providing information, referrals, decision support and social support to people facing medical and other health-related crises.

    PubMed

    Gustafson, D H; Bosworth, K; Hawkins, R P; Boberg, E W; Bricker, E

    1992-01-01

    CHESS (the Comprehensive Health Enhancement Support System) is an interactive, computer-based system to support people facing health-related crises or concerns. CHESS provides information, referral to service providers, support in making tough decisions and networking to experts and others facing the same concerns. CHESS will improve access to health and human services for people who would otherwise face psychological, social, economic or geographic barriers to receiving services. CHESS has developed programs in five specific topic areas: Academic Crisis, Adult Children of Alcoholics, AIDS/HIV Infection, Breast Cancer and Sexual Assault. The lessons learned, and the structures developed, will serve as a model for future implementation of CHESS programs in a broad range of other topic areas. CHESS is designed around three major desired outcomes: 1) improving the emotional health status of users; 2) increasing the cost-effective use of health and human services; and 3) reducing the incidence of risk-taking behaviors that can lead to injury or illness. Pilot-testing and initial analysis of controlled evaluation data has shown that CHESS is extensively used, is useful and easy-to-use, and produces positive emotional outcomes. Further evaluation in continuing.

  7. Ototoxic Medications (Medication Effects)

    MedlinePlus

    ... Information for the Public / Hearing and Balance Ototoxic Medications (Medication Effects) By Barbara Cone, Patricia Dorn, Dawn Konrad- ... Audiology Information Series [PDF]. What Is Ototoxicity? Certain medications can damage the ear, resulting in hearing loss, ...

  8. Beyond metformin: safety considerations in the decision-making process for selecting a second medication for type 2 diabetes management: reflections from a diabetes care editors' expert forum.

    PubMed

    Cefalu, William T; Buse, John B; Del Prato, Stefano; Home, Philip D; LeRoith, Derek; Nauck, Michael A; Raz, Itamar; Rosenstock, Julio; Riddle, Matthew C

    2014-09-01

    The trend toward personalized management of diabetes has focused attention on the differences among available pharmacological agents in terms of mechanisms of action, efficacy, and, most important, safety. Clinicians must select from these features to develop individualized therapy regimens. In June 2013, a nine-member Diabetes Care Editors' Expert Forum convened to review safety evidence for six major diabetes drug classes: insulin, sulfonylureas (SUs), thiazolidinediones (TZDs), glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, and sodium glucose cotransporter 2 inhibitors. This article, an outgrowth of the forum, summarizes well-delineated and theoretical safety concerns related to these drug classes, as well as the panelists' opinions regarding their best use in patients with type 2 diabetes. All of the options appear to have reasonably wide safety margins when used appropriately. Those about which we know the most-metformin, SUs, insulin, and perhaps now also TZDs-are efficacious in most patients and can be placed into a basic initial algorithm. However, these agents leave some clinical needs unmet. Selecting next steps is a more formidable process involving newer agents that are understood less well and for which there are unresolved questions regarding risk versus benefit in certain populations. Choosing a specific agent is not as important as implementing some form of early intervention and advancing rapidly to some form of combination therapy as needed. When all options are relatively safe given the benefits they confer, therapeutic decision making must rely on a personalized approach, taking into account patients' clinical circumstances, phenotype, pathophysiological defects, preferences, abilities, and costs.

  9. Refusal to medical interventions.

    PubMed

    Palacios, G; Herreros, B; Pacho, E

    2014-10-01

    Refusal to medical interventions is the not acceptance, voluntary and free, of an indicated medical intervention. What the physician should do in case of refusal? It is understandable that the rejection of a validated medical intervention is difficult to accept by the responsible physician when raises the conflict protection of life versus freedom of choice. Therefore it is important to follow some steps to incorporate the most relevant aspects of the conflict. These steps include: 1) Give complete information to patients, informing on possible alternatives, 2) determine whether the patient can decide (age, competency and level of capacity), 3) to ascertain whether the decision is free, 4) analyze the decision with the patient, 5) to persuade, 6) if the patient kept in the rejection decision, consider conscientious objection, 7) take the decision based on the named criteria, 8) finally, if the rejection is accepted, offer available alternatives.

  10. Cognitive processes in anesthesiology decision making.

    PubMed

    Stiegler, Marjorie Podraza; Tung, Avery

    2014-01-01

    The quality and safety of health care are under increasing scrutiny. Recent studies suggest that medical errors, practice variability, and guideline noncompliance are common, and that cognitive error contributes significantly to delayed or incorrect diagnoses. These observations have increased interest in understanding decision-making psychology.Many nonrational (i.e., not purely based in statistics) cognitive factors influence medical decisions and may lead to error. The most well-studied include heuristics, preferences for certainty, overconfidence, affective (emotional) influences, memory distortions, bias, and social forces such as fairness or blame.Although the extent to which such cognitive processes play a role in anesthesia practice is unknown, anesthesia care frequently requires rapid, complex decisions that are most susceptible to decision errors. This review will examine current theories of human decision behavior, identify effects of nonrational cognitive processes on decision making, describe characteristic anesthesia decisions in this context, and suggest strategies to improve decision making.

  11. [Positron emission tomography (PET) with [18F]-FDG in bronchopulmonary cancer and its impact on medical decision at the time of diagnosis, staging, or recurrence evaluation].

    PubMed

    Grahek, D; Montravers, F; Mayaud, C; Regnard, J F; Kerrou, K; Younsi, N; Talbot, J N

    2001-12-01

    Clinical usefulness of [18F]-FDG imaging, performed by means of a dedicated or a "hybrid" PET machine, has been recognised in France since November 1998. Among the clinical indications, three major clinical settings of lung cancer have been included: characterisation, staging and detection of recurrences. After a brief presentation of the PET scintigraphic imaging modality, authors report on the experience of the nuclear medicine team of Hôspital Tenon and summarise the results in literature. For tumour characterisation, a recent meta-analysis obtained a 96% sensitivity, a 73% specificity, a 91% positive predictive value and a 90% negative predictive value, the performances being better for lesions greater than 1 cm. For staging, an increase greater than 15% both in sensitivity and specificity has been observed with dedicated or "hybrid" PET versus CT for N staging. Detection of distant metastases was also more accurate using [18F]-FDG. A similar increase was observed in the detection of recurrence, in accordance with our study; some authors described even better results. A better anatomical delineation of the lesions detected with FDG can be achieved by means of image fusion with CT; this technique is likely to develop as a routine tool in the near future. Finally, FDG imaging led to modification of patient's management in 37% of the cases according to a recent meta-analysis versus 53% of the cases in our retrospective survey concerning the first year of installation of a dedicated PET machine. This rate was equal with dedicated PET and with CDET. In 46% of the cases an inter-modality change occurred, and in 7% an intra-modality change consisting mainly in adaptation of the surgical procedure. As soon as the FDG examination became available, its clinical impact, in the French medical context, appeared to reach the highest values that were published internationally.

  12. Stereotactic Body Radiotherapy Versus Surgery for Medically Operable Stage I Non-Small-Cell Lung Cancer: A Markov Model-Based Decision Analysis

    SciTech Connect

    Louie, Alexander V.; Rodrigues, George; Palma, David A.; Cao, Jeffrey Q.; Yaremko, Brian P.; Malthaner, Richard; Mocanu, Joseph D.

    2011-11-15

    Purpose: To compare the quality-adjusted life expectancy and overall survival in patients with Stage I non-small-cell lung cancer (NSCLC) treated with either stereotactic body radiation therapy (SBRT) or surgery. Methods and Materials: We constructed a Markov model to describe health states after either SBRT or lobectomy for Stage I NSCLC for a 5-year time frame. We report various treatment strategy survival outcomes stratified by age, sex, and pack-year history of smoking, and compared these with an external outcome prediction tool (Adjuvant{exclamation_point} Online). Results: Overall survival, cancer-specific survival, and other causes of death as predicted by our model correlated closely with those predicted by the external prediction tool. Overall survival at 5 years as predicted by baseline analysis of our model is in favor of surgery, with a benefit ranging from 2.2% to 3.0% for all cohorts. Mean quality-adjusted life expectancy ranged from 3.28 to 3.78 years after surgery and from 3.35 to 3.87 years for SBRT. The utility threshold for preferring SBRT over surgery was 0.90. Outcomes were sensitive to quality of life, the proportion of local and regional recurrences treated with standard vs. palliative treatments, and the surgery- and SBRT-related mortalities. Conclusions: The role of SBRT in the medically operable patient is yet to be defined. Our model indicates that SBRT may offer comparable overall survival and quality-adjusted life expectancy as compared with surgical resection. Well-powered prospective studies comparing surgery vs. SBRT in early-stage lung cancer are warranted to further investigate the relative survival, quality of life, and cost characteristics of both treatment paradigms.

  13. Teaching the Tools of Pharmaceutical Care Decision-Analysis.

    ERIC Educational Resources Information Center

    Rittenhouse, Brian E.

    1994-01-01

    A method of decision-analysis in pharmaceutical care that integrates epidemiology and economics is presented, including an example illustrating both the deceptive nature of medical decision making and the power of decision analysis. Principles in determining both general and specific probabilities of interest and use of decision trees for…

  14. Clinical decision analysis using microcomputers. A case of coexistent hepatocellular carcinoma and abdominal aortic aneurysm.

    PubMed

    Wong, J B; Moskowitz, A J; Pauker, S G

    1986-12-01

    Many difficult medical decisions involve uncertainty. Decision analysis-an explicit, normative and analytic approach to making decisions under uncertainty-provides a probabilistic framework for exploring difficult problems in nondeterministic domains. As the methodology has advanced, clinical decision analysis has been applied to increasingly complex medical problems and disseminated widely in the medical literature. Unfortunately, this approach imposes a heavy computational burden on analysts. Microcomputer-based decision-support software can ease this burden.

  15. Religion and medical ethics.

    PubMed

    Green, Ronald M

    2013-01-01

    Religious traditions of medical ethics tend to differ from more secular approaches by stressing limitations on autonomous decision-making, by more positively valuing the experience of suffering, and by drawing on beliefs and values that go beyond empiric verification. I trace the impact of these differences for some of the world's great religious traditions with respect to four issues: (1) religious conscientious objection to medical treatments; (2) end-of life decision-making, including euthanasia, physician-assisted suicide, and the withholding or withdrawing of life-sustaining treatments; (3) definitions of moral personhood (defining life's beginning and end); and (4) human sexuality.

  16. MINDS - Medical Information Network Decision Support System

    DTIC Science & Technology

    2008-06-01

    Information Technology, Department of Health and Human Services, 2005 7. The Lewin Group, Inc., “Health Information Technology Leadership Panel: Final...University of Chicago Kurt Rossman Laboratories for Radiologic Image Research (www- radiology.uchicago.edu/krl/) 8. University of Michigan Department

  17. Medical rare book provenance.

    PubMed Central

    Overmier, J A; Sentz, L

    1987-01-01

    Provenance is defined as the record of a book's ownership history. Its value and uses are explored. A survey of provenance practices in medical school rare book libraries found that only 21% of the reporting libraries maintain this important file. Examples of the uses and value of a provenance file in a medical rare book collection are presented. Decisions necessary to institute and maintain such a file are outlined and discussed. PMID:3828606

  18. The Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health Project: Development and Testing of Electronic Decision Support System and Formative Research to Understand Perceptions about Mental Health in Rural India

    PubMed Central

    Maulik, Pallab K; Tewari, Abha; Devarapalli, Siddhardha; Kallakuri, Sudha; Patel, Anushka

    2016-01-01

    Introduction Common mental disorders (CMD) such as depression, suicidal risk and emotional/medically unexplained complaints affect a large number of people in India, but few receive appropriate care. Key reasons for this include few trained mental health professionals and stigma associated with mental health. A potential approach to address poor access to care is by training village healthcare workers in providing basic mental health care, and harnessing India’s vast mobile network to support such workers using mobile-based applications. We propose an intervention to implement such an approach that incorporates the use of mobile-based electronic decision support systems (EDSS) to provide mental health services for CMD, combined with a community-based anti-stigma campaign. This will be implemented and evaluated across 42 villages in Andhra Pradesh, a south Indian state. This paper discusses the development and testing of the EDSS, and the formative research that informed the anti-stigma campaign. Materials and Methods The development of the EDSS used an iterative process that was validated against clinical diagnosis. A mixed methods approach tested the user acceptability of the EDSS. Focus group discussions and in-depth interviews provided community-level perceptions about mental health. This study involved 3 villages and one primary health centre. Results The EDSS application was found to be acceptable, but some modifications were needed. The community lacked adequate knowledge about CMD and its treatment and there was stigma associated with mental illness. Faith and traditional healers were considered to be important mental health service providers. Discussion A number of barriers and facilitators were identified in implementing the intervention analysed in a framework using Andersen’s behavioural model of health services use. Conclusion The findings assisted with refining the intervention prior to large-scale implementation and evaluation. PMID:27732652

  19. Burn Resuscitation Decision Support System (BRDSS)

    DTIC Science & Technology

    2013-09-01

    CONTRACTING ORGANIZATION: Arcos , Inc. HoustonTX77018-5308 REPORT DATE: September 2013 TYPE OF REPORT: Annual PREPARED FOR: U.S. Army Medical... Arcos , Inc. 866 W. 41st St. Houston TX 77018-5308 The Burn Resuscitation Decision Support System (BRDSS) is a medical device designed to guide and...project: The Burn Resuscitation Decision Support System (BRDSS) Tablet project will be broken into four major phases. Throughout the project Arcos will

  20. Fingernail Injuries and NASA's Integrated Medical Model

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric; Butler, Doug

    2008-01-01

    The goal of space medicine is to optimize both crew health and performance. Currently, expert opinion is primarily relied upon for decision-making regarding medical equipment and supplies flown in space. Evidence-based decisions are preferred due to mass and volume limitations and the expense of space flight. The Integrated Medical Model (IMM) is an attempt to move us in that direction!

  1. Medical management of canine and feline dystocia.

    PubMed

    Pretzer, S D

    2008-08-01

    When dystocia is diagnosed in the bitch or queen, two forms of treatment exist: medical or surgical therapy. Medical management of dystocia has the advantage of aiding completion of the parturition process without surgery or anesthesia. However, since not all cases of dystocia can be managed medically, educated and careful decision making is required prior to instituting medical management in cases of dystocia. Improper medical treatment, especially when surgical management is clinically indicated, can result in compromise and even death of the dam and fetuses. This paper focuses on the decision making necessary prior to instituting medical management for cases of dystocia in both bitches and queens, and describes available therapeutics.

  2. A decision-supported outpatient practice system.

    PubMed Central

    Barrows, R. C.; Allen, B. A.; Smith, K. C.; Arni, V. V.; Sherman, E.

    1996-01-01

    We describe a Decision-supported Outpatient Practice (DOP) system developed and now in use at the Columbia-Presbyterian Medical Center. DOP is an automated ambulatory medical record system that integrates in-patient and ambulatory care data, and incorporates active and passive decision support mechanisms with a view towards improving the quality of primary care. Active decision support occurs in the form of event-driven reminders created within a remote clinical information system with its central data repository and decision support system (DSS). Novel features of DOP include patient specific health maintenance task lists calculated by the remote DSS. uses of a semantically structured controlled medical vocabulary to support clinical results review and provider data entry, and exploitation of an underlying ambulatory data model that provides for an explicit record of evolution of insight regarding patient management. Benefits, challenges, and plans are discussed. PMID:8947774

  3. Evidence on global medical travel

    PubMed Central

    Záliš, Ladislav; Meurice, Christopher R; Hilton, Ian; Ly, Terry-Lisa; Zupan, Zorana; Hinrichs, Saba

    2015-01-01

    Abstract The potential benefits of travelling across national borders to obtain medical treatment include improved care, decreased costs and reduced waiting times. However, medical travel involves additional risks, compared to obtaining treatment domestically. We review the publicly-available evidence on medical travel. We suggest that medical travel needs to be understood in terms of its potential risks and benefits so that it can be evaluated against alternatives by patients who are seeking care. We propose three domains –quality standards, informed decision-making, economic and legal protection – in which better evidence could support the development of medical travel policies. PMID:26549906

  4. Evidence on global medical travel.

    PubMed

    Ruggeri, Kai; Záliš, Ladislav; Meurice, Christopher R; Hilton, Ian; Ly, Terry-Lisa; Zupan, Zorana; Hinrichs, Saba

    2015-11-01

    The potential benefits of travelling across national borders to obtain medical treatment include improved care, decreased costs and reduced waiting times. However, medical travel involves additional risks, compared to obtaining treatment domestically. We review the publicly-available evidence on medical travel. We suggest that medical travel needs to be understood in terms of its potential risks and benefits so that it can be evaluated against alternatives by patients who are seeking care. We propose three domains -quality standards, informed decision-making, economic and legal protection - in which better evidence could support the development of medical travel policies.

  5. A survey of decision tree classifier methodology

    NASA Technical Reports Server (NTRS)

    Safavian, S. Rasoul; Landgrebe, David

    1990-01-01

    Decision Tree Classifiers (DTC's) are used successfully in many diverse areas such as radar signal classification, character recognition, remote sensing, medical diagnosis, expert systems, and speech recognition. Perhaps, the most important feature of DTC's is their capability to break down a complex decision-making process into a collection of simpler decisions, thus providing a solution which is often easier to interpret. A survey of current methods is presented for DTC designs and the various existing issue. After considering potential advantages of DTC's over single stage classifiers, subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed.

  6. A survey of decision tree classifier methodology

    NASA Technical Reports Server (NTRS)

    Safavian, S. R.; Landgrebe, David

    1991-01-01

    Decision tree classifiers (DTCs) are used successfully in many diverse areas such as radar signal classification, character recognition, remote sensing, medical diagnosis, expert systems, and speech recognition. Perhaps the most important feature of DTCs is their capability to break down a complex decision-making process into a collection of simpler decisions, thus providing a solution which is often easier to interpret. A survey of current methods is presented for DTC designs and the various existing issues. After considering potential advantages of DTCs over single-state classifiers, subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed.

  7. Political and medical views on medical marijuana and its future.

    PubMed

    Rubens, Muni

    2014-01-01

    The policies, laws, politics, public opinions, and scientific inferences of medical marijuana are rapidly changing as the debate on medical use of marijuana has always been political, rather than scientific. Federal law has barred the use of medical marijuana though 18 state governments and Washington, DC, support the medical use of marijuana. Unfortunately, not many studies exist on medical marijuana to back these laws and policies. The judiciary, on the other hand, has elicited a diverse response to medical marijuana through its rulings over several decades. Some rulings favored the federal government's opinion, and others supported the larger public view and many state governments with legalized medical marijuana. Public opinion on legalizing medical marijuana has always favored the use of medical marijuana. The movement of scientific knowledge of medical marijuana follows an erratic, discontinuous pathway. The future place of medical marijuana in U.S. society remains unknown. The three forces-scientific knowledge, social-political acceptance, and laws-play a role in the direction that medical marijuana takes in society. Overcoming political-social forces requires a concerted effort from the scientific community and political leaders. The results of scientific research must guide the decisions for laws and medical use of marijuana. This article aims to trace the political dilemma and contradictory views shared by federal and state governments and predict the future of medical marijuana by tracing the past history of medical marijuana with its bumpy pathway in the social-political arena.

  8. [The framing effect: medical implications].

    PubMed

    Mazzocco, Ketti; Cherubini, Paolo; Rumiati, Rino

    2005-01-01

    Over the last 20 years, many studies explored how the way information is presented modifies choices. This sort of effect, referred to as "framing effects", typically consists of the inversion of choices when presenting structurally identical decision problems in different ways. It is a common assumption that physicians are unaffected (or less affected) by the surface description of a decision problem, because they are formally trained in medical decision making. However, several studies showed that framing effects occur even in the medical field. The complexity and variability of these effects are remarkable, making it necessary to distinguish among different framing effects, depending on whether the effect is obtained by modifying adjectives (attribute framing), goals of a behavior (goal framing), or the probability of an outcome (risky choice framing). A further reason for the high variability of the framing effects seems to be the domain of the decision problem, with different effects occurring in prevention decisions, disease-detection decisions, and treatment decisions. The present work reviews the studies on framing effects, in order to summarize them and clarify their possible role in medical decision making.

  9. 42 CFR 405.706 - Decisions of utilization review committees.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 42 Public Health 2 2011-10-01 2011-10-01 false Decisions of utilization review committees. 405.706... Under Medicare Part A § 405.706 Decisions of utilization review committees. (a) General rule. A decision of a utilization review committee is a medical determination by a staff committee of the provider...

  10. 42 CFR 405.706 - Decisions of utilization review committees.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Decisions of utilization review committees. 405.706... Under Medicare Part A § 405.706 Decisions of utilization review committees. (a) General rule. A decision of a utilization review committee is a medical determination by a staff committee of the provider...

  11. WaterlooClarke: TREC 2015 Clinical Decision Support Track

    DTIC Science & Technology

    2015-11-20

    WaterlooClarke: TREC 2015 Clinical Decision Support Track Amira Ghenai1, Eldar Khalilov1, Pavel Valov1, and Charles L. A. Clarke1 1Department of...Abstract Clinical decision support systems help physicians with finding additional information about a partic- ular medical case. In this paper, we...develop a clinical decision support system that, based on a short medical case description, can recommend research articles to answer some common

  12. 42 CFR 456.238 - Time limits for final decision and notification of adverse decision.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 42 Public Health 4 2010-10-01 2010-10-01 false Time limits for final decision and notification of adverse decision. 456.238 Section 456.238 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS UTILIZATION...

  13. A Medical Ethics Assessment of the Case of Terri Schiavo

    ERIC Educational Resources Information Center

    Preston, Tom; Kelly, Michael

    2006-01-01

    The social, legal, and political discussion about the decision to stop feeding and hydration for Terri Schiavo lacked a medical ethics assessment. The authors used the principles of medical indications, quality of life, patient preference, and contextual features as a guide to medical decision-making in this case. Their conclusions include the…

  14. Psychotropic Medication Management in a Residential Group Care Program

    ERIC Educational Resources Information Center

    Spellman, Douglas F.; Griffith, Annette K.; Huefner, Jonathan C.; Wise, Neil, III; McElderry, Ellen; Leslie, Laurel K.

    2010-01-01

    This article presents a psychotropic medication management approach that is used within a residential care program. The approach is used to assess medications at youths' times of entry and to facilitate decision making during care. Data from a typical case study have indicated that by making medication management decisions slowly, systematically,…

  15. Comparative effectiveness research: challenges for medical journals.

    PubMed

    Sox, Harold C; Helfand, Mark; Grimshaw, Jeremy; Dickersin, Kay; Tovey, David; Knottnerus, J André; Tugwell, Peter

    2010-04-28

    Editors from a number of medical journals lay out principles for journals considering publication of Comparative Effectiveness Research (CER). In order to encourage dissemination of this editorial, this article is freely available in PLoS Medicine and will be also published in Medical Decision Making, Croatian Medical Journal, The Cochrane Library, Trials, The American Journal of Managed Care, and Journal of Clinical Epidemiology.

  16. Oral Medication

    MedlinePlus

    ... Size: A A A Listen En Español Oral Medication The first treatment for type 2 diabetes blood ... new — even over-the-counter items. Explore: Oral Medication How Much Do Oral Medications Cost? Save money ...

  17. Perceived Barriers and Facilitators of Using a Web-Based Interactive Decision Aid for Colorectal Cancer Screening in Community Practice Settings: Findings From Focus Groups With Primary Care Clinicians and Medical Office Staff

    PubMed Central

    2013-01-01

    Background Information is lacking about the capacity of those working in community practice settings to utilize health information technology for colorectal cancer screening. Objective To address this gap we asked those working in community practice settings to share their perspectives about how the implementation of a Web-based patient-led decision aid might affect patient-clinician conversations about colorectal cancer screening and the day-to-day clinical workflow. Methods Five focus groups in five community practice settings were conducted with 8 physicians, 1 physician assistant, and 18 clinic staff. Focus groups were organized using a semistructured discussion guide designed to identify factors that mediate and impede the use of a Web-based decision aid intended to clarify patient preferences for colorectal cancer screening and to trigger shared decision making during the clinical encounter. Results All physicians, the physician assistant, and 8 of the 18 clinic staff were active participants in the focus groups. Clinician and staff participants from each setting reported a belief that the Web-based patient-led decision aid could be an informative and educational tool; in all but one setting participants reported a readiness to recommend the tool to patients. The exception related to clinicians from one clinic who described a preference for patients having fewer screening choices, noting that a colonoscopy was the preferred screening modality for patients in their clinic. Perceived barriers to utilizing the Web-based decision aid included patients’ lack of Internet access or low computer literacy, and potential impediments to the clinics’ daily workflow. Expanding patients’ use of an online decision aid that is both easy to access and understand and that is utilized by patients outside of the office visit was described as a potentially efficient means for soliciting patients’ screening preferences. Participants described that a system to link the

  18. Clinical decision support foundations.

    PubMed

    Pradhan, Malcolm; Liaw, Siaw Teng

    2010-01-01

    This chapter gives an educational overview of: * The elements of a clinical decision; * The elements of decision making: prior probability, evidence (likelihood), posterior probability, actions, utility (value); * A framework for decision making, and support, encompassing validity, utility, importance and certainty; and * The required elements of a clinical decision support system. * The role of knowledge management in the construction and maintenance of clinical decision support.

  19. The Integrated Medical Model

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric; Minard, Charles; Saile, Lynn; Freiere deCarvalho, Mary; Myers, Jerry; Walton, Marlei; Butler, Douglas; Iyengar, Sriram; Johnson-Throop, Kathy; Baumann, David

    2010-01-01

    The goals of the Integrated Medical Model (IMM) are to develop an integrated, quantified, evidence-based decision support tool useful to crew health and mission planners and to help align science, technology, and operational activities intended to optimize crew health, safety, and mission success. Presentation slides address scope and approach, beneficiaries of IMM capabilities, history, risk components, conceptual models, development steps, and the evidence base. Space adaptation syndrome is used to demonstrate the model's capabilities.

  20. Understanding variation in primary medical care: a nine-country qualitative study of clinicians’ accounts of the non-clinical factors that shape antibiotic prescribing decisions for lower respiratory tract infection

    PubMed Central

    Brookes-Howell, Lucy; Hood, Kerenza; Cooper, Lucy; Little, Paul; Verheij, Theo; Coenen, Samuel; Godycki-Cwirko, Maciek; Melbye, Hasse; Borras-Santos, Alicia; Worby, Patricia; Jakobsen, Kristin; Goossens, Herman; Butler, Christopher C

    2012-01-01

    Objectives There is a wide variation between European countries in antibiotic prescribing for patients in primary care with lower respiratory tract infection (LRTI) that is not explained by case mix and clinical factors alone. Variation in antibiotic prescribing that is not warranted by differences in illness and clinical presentation may increase selection of resistant organisms, contributing to the problem of antibiotic resistance. This study aimed to investigate clinicians’ accounts of non-clinical factors that influence their antibiotic prescribing decision for patients with LRTI, to understand variation and identify opportunities for addressing possible unhelpful variation. Design Multicountry qualitative semistructured interview study, with data subjected to a five-stage analytic framework approach (familiarisation, developing a thematic framework from interview questions and emerging themes, indexing, charting and interpretation), and with interviewers commenting on preliminary analytic themes. Setting Primary care. Participants Eighty primary care clinicians randomly selected from primary care research networks based in nine European cities. Results Clinicians’ accounts identified non-clinical factors imposed by the healthcare system operating within specific regional primary care research networks, including patient access to antibiotics before consulting a doctor (Barcelona and Milan), systems to reduce patient expectations for antibiotics (Southampton and Antwerp) and lack of consistent treatment guidelines (Balatonfüred and Łódź). Secondly, accounts revealed factors related to specific characteristics of clinicians regardless of network (professional ethos, self-belief in decision-making and commitment to shared decision-making). Conclusions Addressing healthcare system factors (eg, limiting patients’ self-management with antibiotics before consulting in primary care, increased public awareness and provision of more consistent guidelines) may

  1. WHO'S IN CHARGE? THE RELATIONSHIP BETWEEN MEDICAL LAW, MEDICAL ETHICS, AND MEDICAL MORALITY?

    PubMed

    Foster, Charles; Miola, José

    2015-01-01

    Medical law inevitably involves decision-making, but the types of decisions that need to be made vary in nature, from those that are purely technical to others that contain an inherent ethical content. In this paper we identify the different types of decisions that need to be made, and explore whether the law, the medical profession, or the individual doctor is best placed to make them. We also argue that the law has failed in its duty to create a coherent foundation from which such decision-making might properly be regulated, and this has resulted in a haphazard legal framework that contains no consistency. We continue by examining various medico-legal topics in relation to these issues before ending by considering the risk of demoralisation.

  2. [Ethical "flashes" of medical care management].

    PubMed

    Fajardo-Ortiz, Guillermo

    2009-01-01

    This document demonstrates in a simple way the depth and variety of ethical topics in medical care management, which are subjects not often addressed. Every medical administrator should be aware that all actions and decisions have ethical dimensions. Ethics applies to management of medical services according to honesty, transparency and decency. The behavior of those persons administering medical services is based on ethical values, principles and theories.

  3. End-of-life decisions in dutch neonatology.

    PubMed

    Moratti, Sofia

    2010-01-01

    This contribution describes the regulation of end-of-life decisions in neonatology in the Netherlands. An account is given of the process of formulating rules, which includes a report by the Dutch Association for Paediatrics, two Court rulings, a report by a Consultation Group appointed by the Ministry of Health and a professional Protocol regulating deliberate ending of life in neonatology that was subsequently adopted as the regulation of this type of decision-making at the national level. The paper presents Dutch and comparative data on the attitude of the medical profession towards end-of-life decisions in neonatology and the frequency of such decisions in medical practice.

  4. The patenting of medical treatment.

    PubMed

    Loughlan, P L

    1995-04-03

    The Full Federal Court of Australia recently held, in a decisive break with long-established legal principle, that methods of medical treatment are patentable inventions. The judgment signals the advent of monopolies and therefore monopoly prices on new therapeutic procedures until now made freely available to the medical profession. It also heralds delays in the dissemination of information about discoveries of such procedures through teaching and publication until a patent application can be prepared for and made.

  5. The implications of medical ethics.

    PubMed Central

    Thompson, I. E.

    1976-01-01

    In this paper, Mr Thompson, one of the research fellows appointed to the Edinburgh Medical Group research project, seeks to define medical ethics in relation to traditional ethics in the philosophical sense of enquiring into right and wrong modes of thought and conduct, and to carry that study further into the field of moral decisions made by doctors and other professional people who care for the sick. Until very recently the Victorian definition of medical ethics - medical etiquette - served the doctor well but the complexity of modern medicine and the involvement of other professional workers in medical care appears to have swept away the old framework and left a vacuum. A new medical ethic must be evolved to fill that vacuum, taking account not only of technological advances but also of relationships between doctors and other professionals associated with them and of the role in caring for the sick. PMID:781252

  6. 22 CFR 40.11 - Medical grounds of ineligibility.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Medical grounds of ineligibility. 40.11 Section... IMMIGRANTS UNDER THE IMMIGRATION AND NATIONALITY ACT, AS AMENDED Medical Grounds of Ineligibility § 40.11 Medical grounds of ineligibility. (a) Decision on eligibility based on findings of medical doctor....

  7. A Cost-Utility and Cost-Effectiveness Analysis of Different Oral Antiviral Medications in Patients With HBeAg-Negative Chronic Hepatitis B in Iran: An Economic Microsimulation Decision Model

    PubMed Central

    Keshavarz, Khosro; Kebriaeezadeh, Abbas; Alavian, Seyed Moayed; Akbari Sari, Ali; Rezaei Hemami, Mohsen; Lotfi, Farhad; Hashemi Meshkini, Amir; Javanbakht, Mehdi; Keshvari, Maryam; Nikfar, Shekoufeh

    2016-01-01

    Background Although hepatitis B infection is the major cause of chronic liver disease in Iran, no studies have employed economic evaluations of the medications used to treat Iranian patients with chronic hepatitis B (CHB). Therefore, the cost-effectiveness of the different treatment options for this disease in Iran is unknown. Objectives The aim of this study was to compare the cost utility and cost-effectiveness of medication strategies tailored to local conditions in patients with HB e antigen (HBeAg)-negative CHB infection in Iran. Methods An economic evaluation of the cost utility of the following five oral medication strategies was conducted: adefovir (ADV), lamivudine (LAM), ADV + LAM, entecavir (ETV), and tenofovir (TDF). A Markov microsimulation model was used to estimate the clinical and economic outcomes over the course of the patient’s lifetime and based on a societal perspective. Medical and nonmedical direct costs and indirect costs were included in the study and life-years gained (LYG) and quality-adjusted life-years (QALY) were determined as measures of effectiveness. The results are presented in terms of the incremental cost-effectiveness ratio (ICER) per QALY or LYG. The model consisted of nine stages of the disease. The transition probabilities for the movement between the different stages were based on clinical evidence and international expert opinion. A probabilistic sensitivity analysis (PSA) was used to measure the effects of uncertainty in the model parameters. Results The results revealed that the TDF treatment strategy was more effective and less costly than the other options. In addition, TDF had the highest QALY and LYG in the HBeAg-negative CHB patients, with 13.58 and 21.26 (discounted) in all comparisons. The PSA proved the robustness of the model results. The cost-effectiveness acceptability curves showed that TDF was the most cost-effective treatment in 59% - 78% of the simulations of HBeAg-negative patients, with WTP thresholds

  8. Childhood malignancies and decision making.

    PubMed

    Holder, A R

    1992-01-01

    Failure to obtain "adequate" medical care for a child constitutes child neglect, which may be used as the basis for prosecution of parents, removal of the child from the home, or court-ordered medical treatment. "Adequate" care is usually construed as that which is given by a licensed physician, but, in case of dispute, courts almost never engage in choosing one medical approach over another. The principle that parents may not refuse medical care, however, is made very difficult when children have malignancies--the long-term nature of the treatment means that, if the child is left at home, court order or not, the parents may flee with their child. Removing the child from the home, however, adds that trauma to the ill child's burdens. Questions should be asked before making a request to a court to order a therapy which will prolong but not save a child's life if the parents would prefer to spare their child the side effects. Parents, however, may always refuse to permit their child to participate in research studies, no matter how promising. Adolescents are increasingly believed to be capable of medical decision making; most courts, however, would not allow an adolescent to refuse life-saving treatment.

  9. Medical Transcriptionists

    MedlinePlus

    ... have an understanding of medical terminology, anatomy and physiology, grammar, and word-processing software. Pay The median ... must become familiar with medical terminology, anatomy and physiology, diagnostic procedures, pharmacology, and treatment assessments. Their ability ...

  10. Medical ethics

    PubMed Central

    Markose, Aji; Krishnan, Ramesh; Ramesh, Maya

    2016-01-01

    Mutual trust and relationship between doctors and patients is an important factor of treatment plan. Changing trends in medical field does affect this relationship. This article reviews the basic code of conduct for every medical practitioner. PMID:27829735

  11. ADHD Medications

    MedlinePlus

    ... ADHD medications work by increasing the levels of brain chemicals called neurotransmitters . Neurotransmitters help send messages between nerve cells in the brain. There are two main kinds of ADHD medications: ...

  12. Abortion - medical

    MedlinePlus

    ... an undesired pregnancy. The medicine helps remove the fetus and placenta from the mother's womb (uterus). There are different types of medical abortions: Therapeutic medical abortion is done because the woman ...

  13. MEDICAL "DEPRIVATION."

    ERIC Educational Resources Information Center

    SUCHMAN, EDWARD A.

    THE SOCIAL AND MEDICAL PROBLEM TODAY HAS SHIFTED FROM PROVIDING FOR THE EMERGENCY MEDICAL NEEDS OF THE INDIGENT SICK TO RAISING THE LEVEL OF LOWER CLASS PARTICIPATION IN THE BENEFITS OF MODERN MEDICINE. GREATER ATTENTION IS BEING FOCUSED ON MEDICAL DEPRIVATION SUFFERED BY LARGE SEGMENTS OF THE POPULATION WHO DO NOT SHARE EQUALLY IN MEDICAL…

  14. Medical Assistants

    MedlinePlus

    ... medical assistants often fill out insurance forms or code patients’ medical information. They often answer telephones and ... charts and diagnoses. They may be required to code a patient’s medical records for billing purposes. Detail ...

  15. Oral medications.

    PubMed

    Albretsen, Jay C

    2002-03-01

    Many medications are available today by prescription or in over-the-counter preparations. This article reviews the pharmacokinetics, mechanism of action, toxicity, clinical signs, and management procedures necessary for some oral medications. The medications reviewed include selective serotonin reuptake inhibitors, benzodiazepines, amphetamines or amphetamine like drugs, carprofen, cyclooxygenase-2 inhibitors, pseudoephedrine, calcium channel blockers, and baclofen.

  16. An ABC for decision making*

    PubMed Central

    Garcia, Luiz Henrique Costa; Ferreira, Bruna Cortez

    2015-01-01

    The present study was aimed at proposing a systematic evaluation of cranial computed tomography, identifying the main aspects to be analyzed in order to facilitate the decision making process regarding diagnosis and management in emergency settings. The present descriptive study comprised a literature review at the following databases: Access Medicine and Access Emergency Medicine (McGraw- Hill Education); British Medical Journal Evidence Center; UptoDate; Bireme; PubMed; Lilacs; SciELO; ProQuest; Micromedex (Thomson Reuters); Embase. Once the literature review was completed, the authors identified the main diseases with tomographic repercussions and proposed the present system to evaluate cranial computed tomography images. An easy-to-memorize ABC system will facilitate the decision making in emergency settings, as it covers the main diseases encountered by intensivists and emergency physicians, and provides a sequential guidance about anatomical structures to be investigated as well as their respective alterations. PMID:25987751

  17. An ABC for decision making.

    PubMed

    Garcia, Luiz Henrique Costa; Ferreira, Bruna Cortez

    2015-01-01

    The present study was aimed at proposing a systematic evaluation of cranial computed tomography, identifying the main aspects to be analyzed in order to facilitate the decision making process regarding diagnosis and management in emergency settings. The present descriptive study comprised a literature review at the following databases: Access Medicine and Access Emergency Medicine (McGraw- Hill Education); British Medical Journal Evidence Center; UptoDate; Bireme; PubMed; Lilacs; SciELO; ProQuest; Micromedex (Thomson Reuters); Embase. Once the literature review was completed, the authors identified the main diseases with tomographic repercussions and proposed the present system to evaluate cranial computed tomography images. An easy-to-memorize ABC system will facilitate the decision making in emergency settings, as it covers the main diseases encountered by intensivists and emergency physicians, and provides a sequential guidance about anatomical structures to be investigated as well as their respective alterations.

  18. Medical Services: The Disputed Related Service.

    ERIC Educational Resources Information Center

    Bartlett, Larry

    2000-01-01

    This article analyzes the 1999 Supreme Court decision, Cedar Rapids Community School District v. Garret F., which affirmed the school district's responsibility to provide medical services to a student with disabilities. It traces the legal history of the issue, examines lines of case law underlying the decision, and discusses the likely…

  19. Decision support systems for robotic surgery and acute care

    NASA Astrophysics Data System (ADS)

    Kazanzides, Peter

    2012-06-01

    Doctors must frequently make decisions during medical treatment, whether in an acute care facility, such as an Intensive Care Unit (ICU), or in an operating room. These decisions rely on a various information sources, such as the patient's medical history, preoperative images, and general medical knowledge. Decision support systems can assist by facilitating access to this information when and where it is needed. This paper presents some research eorts that address the integration of information with clinical practice. The example systems include a clinical decision support system (CDSS) for pediatric traumatic brain injury, an augmented reality head- mounted display for neurosurgery, and an augmented reality telerobotic system for minimally-invasive surgery. While these are dierent systems and applications, they share the common theme of providing information to support clinical decisions and actions, whether the actions are performed with the surgeon's own hands or with robotic assistance.

  20. Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty

    PubMed Central

    Alagoz, Oguzhan; Hsu, Heather; Schaefer, Andrew J.; Roberts, Mark S.

    2011-01-01

    We provide a tutorial on the construction and evaluation of Markov decision processes (MDPs), which are powerful analytical tools used for sequential decision making under uncertainty that have been widely used in many industrial and manufacturing applications but are underutilized in medical decision making (MDM). We demonstrate the use of an MDP to solve a sequential clinical treatment problem under uncertainty. Markov decision processes generalize standard Markov models in that a decision process is embedded in the model and multiple decisions are made over time. Furthermore, they have significant advantages over standard decision analysis. We compare MDPs to standard Markov-based simulation models by solving the problem of the optimal timing of living-donor liver transplantation using both methods. Both models result in the same optimal transplantation policy and the same total life expectancies for the same patient and living donor. The computation time for solving the MDP model is significantly smaller than that for solving the Markov model. We briefly describe the growing literature of MDPs applied to medical decisions. PMID:20044582

  1. Markov decision processes: a tool for sequential decision making under uncertainty.

    PubMed

    Alagoz, Oguzhan; Hsu, Heather; Schaefer, Andrew J; Roberts, Mark S

    2010-01-01

    We provide a tutorial on the construction and evaluation of Markov decision processes (MDPs), which are powerful analytical tools used for sequential decision making under uncertainty that have been widely used in many industrial and manufacturing applications but are underutilized in medical decision making (MDM). We demonstrate the use of an MDP to solve a sequential clinical treatment problem under uncertainty. Markov decision processes generalize standard Markov models in that a decision process is embedded in the model and multiple decisions are made over time. Furthermore, they have significant advantages over standard decision analysis. We compare MDPs to standard Markov-based simulation models by solving the problem of the optimal timing of living-donor liver transplantation using both methods. Both models result in the same optimal transplantation policy and the same total life expectancies for the same patient and living donor. The computation time for solving the MDP model is significantly smaller than that for solving the Markov model. We briefly describe the growing literature of MDPs applied to medical decisions.

  2. A Primer on Bayesian Decision Analysis With an Application to a Kidney Transplant Decision.

    PubMed

    Neapolitan, Richard; Jiang, Xia; Ladner, Daniela P; Kaplan, Bruce

    2016-03-01

    A clinical decision support system (CDSS) is a computer program, which is designed to assist health care professionals with decision making tasks. A well-developed CDSS weighs the benefits of therapy versus the cost in terms of loss of quality of life and financial loss and recommends the decision that can be expected to provide maximum overall benefit. This article provides an introduction to developing CDSSs using Bayesian networks, such CDSS can help with the often complex decisions involving transplants. First, we review Bayes theorem in the context of medical decision making. Then, we introduce Bayesian networks, which can model probabilistic relationships among many related variables and are based on Bayes theorem. Next, we discuss influence diagrams, which are Bayesian networks augmented with decision and value nodes and which can be used to develop CDSSs that are able to recommend decisions that maximize the expected utility of the predicted outcomes to the patient. By way of comparison, we examine the benefit and challenges of using the Kidney Donor Risk Index as the sole decision tool. Finally, we develop a schema for an influence diagram that models generalized kidney transplant decisions and show how the influence diagram approach can provide the clinician and the potential transplant recipient with a valuable decision support tool.

  3. Medication safety.

    PubMed

    Keohane, Carol A; Bates, David W

    2008-03-01

    Patient safety is a state of mind, not a technology. The technologies used in the medical setting represent tools that must be properly designed, used well, and assessed on an on-going basis. Moreover, in all settings, building a culture of safety is pivotal for improving safety, and many nontechnologic approaches, such as medication reconciliation and teaching patients about their medications, are also essential. This article addresses the topic of medication safety and examines specific strategies being used to decrease the incidence of medication errors across various clinical settings.

  4. Automation: Decision Aid or Decision Maker?

    NASA Technical Reports Server (NTRS)

    Skitka, Linda J.

    1998-01-01

    This study clarified that automation bias is something unique to automated decision making contexts, and is not the result of a general tendency toward complacency. By comparing performance on exactly the same events on the same tasks with and without an automated decision aid, we were able to determine that at least the omission error part of automation bias is due to the unique context created by having an automated decision aid, and is not a phenomena that would occur even if people were not in an automated context. However, this study also revealed that having an automated decision aid did lead to modestly improved performance across all non-error events. Participants in the non- automated condition responded with 83.68% accuracy, whereas participants in the automated condition responded with 88.67% accuracy, across all events. Automated decision aids clearly led to better overall performance when they were accurate. People performed almost exactly at the level of reliability as the automation (which across events was 88% reliable). However, also clear, is that the presence of less than 100% accurate automated decision aids creates a context in which new kinds of errors in decision making can occur. Participants in the non-automated condition responded with 97% accuracy on the six "error" events, whereas participants in the automated condition had only a 65% accuracy rate when confronted with those same six events. In short, the presence of an AMA can lead to vigilance decrements that can lead to errors in decision making.

  5. Exploration Medical System Demonstration

    NASA Technical Reports Server (NTRS)

    Rubin, D. A.; Watkins, S. D.

    2014-01-01

    BACKGROUND: Exploration class missions will present significant new challenges and hazards to the health of the astronauts. Regardless of the intended destination, beyond low Earth orbit a greater degree of crew autonomy will be required to diagnose medical conditions, develop treatment plans, and implement procedures due to limited communications with ground-based personnel. SCOPE: The Exploration Medical System Demonstration (EMSD) project will act as a test bed on the International Space Station (ISS) to demonstrate to crew and ground personnel that an end-to-end medical system can assist clinician and non-clinician crew members in optimizing medical care delivery and data management during an exploration mission. Challenges facing exploration mission medical care include limited resources, inability to evacuate to Earth during many mission phases, and potential rendering of medical care by non-clinicians. This system demonstrates the integration of medical devices and informatics tools for managing evidence and decision making and can be designed to assist crewmembers in nominal, non-emergent situations and in emergent situations when they may be suffering from performance decrements due to environmental, physiological or other factors. PROJECT OBJECTIVES: The objectives of the EMSD project are to: a. Reduce or eliminate the time required of an on-orbit crew and ground personnel to access, transfer, and manipulate medical data. b. Demonstrate that the on-orbit crew has the ability to access medical data/information via an intuitive and crew-friendly solution to aid in the treatment of a medical condition. c. Develop a common data management framework that can be ubiquitously used to automate repetitive data collection, management, and communications tasks for all activities pertaining to crew health and life sciences. d. Ensure crew access to medical data during periods of restricted ground communication. e. Develop a common data management framework that

  6. Medical marijuana: Irresponsible medical care?

    PubMed

    Gordon, Nayvin

    2017-03-01

    Illness should continue to be treated by health professionals employing scientific evidence. This is responsible policy. It is not appropriate or medically justified for family physicians to refer patients to medical marijuana clinics; instead, they should inform their patients that medical treatment must be based on scientific evidence.

  7. Patient access to medical records.

    PubMed

    Mair, J L

    1996-01-01

    The issue of, and access to, medical records has been a contentious matter for some years in Australia. The recent High Court decision of Breen v Williams has clarified the law nationwide. The High Court confirmed that the ownership of medical records is vested in the creator of the records. The High Court further held that a patient has no right at law to access his or her medical records in the absence of any statute granting such a right, or other legal process.

  8. Making Sustainable Decisions Using The KONVERGENCE Framework

    SciTech Connect

    Piet, S. J.; Gibson, P. L.; Joe, J. C.; Kerr, T. A.; Nitschke, R. L.; Dakins, M. E.

    2003-02-25

    Hundreds of contaminated facilities and sites must be cleaned up. ''Cleanup'' includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done--some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period-from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept ''as is'' or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: (1) Knowledge: what is known about the problem and possible solutions? (2) Values: what is important to those affected by the decision? (3) Resources: what is available to implement possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases.

  9. Making Sustainable Decisions Using the KONVERGENCE Framework

    SciTech Connect

    Piet, Steven James; Gibson, Patrick Lavern; Joe, Jeffrey Clark; Kerr, Thomas A; Nitschke, Robert Leon; Dakins, Maxine Ellen

    2003-02-01

    possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases.

  10. Constructing the Medical Humanities gaze.

    PubMed

    Annoni, Marco; Schiavone, Giuseppe; Chiapperino, Luca; Boniolo, Giovanni

    2012-12-31

    In the last few decades genomics has completely reshaped the way in which patients and physicians experience and make sense of illness. In this paper we build upon a real case - namely that of breast cancer genetic testing - in order to point to the shortcomings of the paradigm currently driving healthcare delivery. In particular, we put forward a viable analytical model for the construction of a proper decisional process broadening the scope of medical gaze onto human experience of illness. This model revolves around four main conceptual axes: (i) communicating information; (ii) informing decisions; (iii) respecting narratives; (iv) empowering decision-making. These four kernels, we argue, map precisely onto the main pitfalls of the model presently dealing with genetic testing provision. Medical Humanities, we conclude, ought to play a pivotal role in constructing the environment for competent decision-making, autonomous self-determination and respectful narritivization of one's own life.

  11. Gender and medical careers.

    PubMed

    Riska, Elianne

    2011-03-01

    The concerns about physicians' career advancement tend to be raised in gender terms, because women presently constitute close to and will soon form a majority of the medical students in most western societies. The question is to what extent female and male medical students and residents today make similar or different career and lifestyle choices? Two major mechanisms have been referred to as the reason for gender differences in career paths for physicians. The major theoretical framework tends to be the socialization or sex-role theory and later versions of this explanatory framework. The other mechanism referred to is structural and points to the barriers or the concrete support that women and men experience in making their career decisions. Studies of medical students in the UK and US have shown that women students expected family demands to hamper career plans, while male students were less influenced by family concerns. The importance of role models and mentors in setting the career goals of medical students and residents has recently confirmed early studies of the topic. A number of studies have documented that early negative experiences or lack of encouragement in medical school deter women from choosing surgery as a career. Recent studies suggest that lifestyle choices rather than merely career advancement influence both female and male surgeons' career plans.

  12. Integrated Medical Model Overview

    NASA Technical Reports Server (NTRS)

    Myers, J.; Boley, L.; Foy, M.; Goodenow, D.; Griffin, D.; Keenan, A.; Kerstman, E.; Melton, S.; McGuire, K.; Saile, L.; Shah, R.; Garcia, Y.; Sirmons. B.; Walton, M.; Reyes, D.

    2015-01-01

    The Integrated Medical Model (IMM) Project represents one aspect of NASA's Human Research Program (HRP) to quantitatively assess medical risks to astronauts for existing operational missions as well as missions associated with future exploration and commercial space flight ventures. The IMM takes a probabilistic approach to assessing the likelihood and specific outcomes of one hundred medical conditions within the envelope of accepted space flight standards of care over a selectable range of mission capabilities. A specially developed Integrated Medical Evidence Database (iMED) maintains evidence-based, organizational knowledge across a variety of data sources. Since becoming operational in 2011, version 3.0 of the IMM, the supporting iMED, and the expertise of the IMM project team have contributed to a wide range of decision and informational processes for the space medical and human research community. This presentation provides an overview of the IMM conceptual architecture and range of application through examples of actual space flight community questions posed to the IMM project.

  13. High Performance Medical Classifiers

    NASA Astrophysics Data System (ADS)

    Fountoukis, S. G.; Bekakos, M. P.

    2009-08-01

    In this paper, parallelism methodologies for the mapping of machine learning algorithms derived rules on both software and hardware are investigated. Feeding the input of these algorithms with patient diseases data, medical diagnostic decision trees and their corresponding rules are outputted. These rules can be mapped on multithreaded object oriented programs and hardware chips. The programs can simulate the working of the chips and can exhibit the inherent parallelism of the chips design. The circuit of a chip can consist of many blocks, which are operating concurrently for various parts of the whole circuit. Threads and inter-thread communication can be used to simulate the blocks of the chips and the combination of block output signals. The chips and the corresponding parallel programs constitute medical classifiers, which can classify new patient instances. Measures taken from the patients can be fed both into chips and parallel programs and can be recognized according to the classification rules incorporated in the chips and the programs design. The chips and the programs constitute medical decision support systems and can be incorporated into portable micro devices, assisting physicians in their everyday diagnostic practice.

  14. Four Factors of Clinical Decision Making: A Teaching Model.

    ERIC Educational Resources Information Center

    Leist, James C.; Konen, Joseph C.

    1996-01-01

    Four factors of clinical decision making identified by medical students include quality of care, cost, ethics, and legal concerns. This paper argues that physicians have two responsibilities in the clinical decision-making model: to be the primary advocate for quality health care and to ensure balance among the four factors, working in partnership…

  15. Shared decision making, paternalism and patient choice.

    PubMed

    Sandman, Lars; Munthe, Christian

    2010-03-01

    In patient centred care, shared decision making is a central feature and widely referred to as a norm for patient centred medical consultation. However, it is far from clear how to distinguish SDM from standard models and ideals for medical decision making, such as paternalism and patient choice, and e.g., whether paternalism and patient choice can involve a greater degree of the sort of sharing involved in SDM and still retain their essential features. In the article, different versions of SDM are explored, versions compatible with paternalism and patient choice as well as versions that go beyond these traditional decision making models. Whenever SDM is discussed or introduced it is of importance to be clear over which of these different versions are being pursued, since they connect to basic values and ideals of health care in different ways. It is further argued that we have reason to pursue versions of SDM involving, what is called, a high level dynamics in medical decision-making. This leaves four alternative models to choose between depending on how we balance between the values of patient best interest, patient autonomy, and an effective decision in terms of patient compliance or adherence: Shared Rational Deliberative Patient Choice, Shared Rational Deliberative Paternalism, Shared Rational Deliberative Joint Decision, and Professionally Driven Best Interest Compromise. In relation to these models it is argued that we ideally should use the Shared Rational Deliberative Joint Decision model. However, when the patient and professional fail to reach consensus we will have reason to pursue the Professionally Driven Best Interest Compromise model since this will best harmonise between the different values at stake: patient best interest, patient autonomy, patient adherence and a continued care relationship.

  16. Exploration Medical System Demonstration Project

    NASA Technical Reports Server (NTRS)

    Chin, D. A.; McGrath, T. L.; Reyna, B.; Watkins, S. D.

    2011-01-01

    A near-Earth Asteroid (NEA) mission will present significant new challenges including hazards to crew health created by exploring a beyond low earth orbit destination, traversing the terrain of asteroid surfaces, and the effects of variable gravity environments. Limited communications with ground-based personnel for diagnosis and consultation of medical events require increased crew autonomy when diagnosing conditions, creating treatment plans, and executing procedures. Scope: The Exploration Medical System Demonstration (EMSD) project will be a test bed on the International Space Station (ISS) to show an end-to-end medical system assisting the Crew Medical Officers (CMO) in optimizing medical care delivery and medical data management during a mission. NEA medical care challenges include resource and resupply constraints limiting the extent to which medical conditions can be treated, inability to evacuate to Earth during many mission phases, and rendering of medical care by a non-clinician. The system demonstrates the integration of medical technologies and medical informatics tools for managing evidence and decision making. Project Objectives: The objectives of the EMSD project are to: a) Reduce and possibly eliminate the time required for a crewmember and ground personnel to manage medical data from one application to another. b) Demonstrate crewmember's ability to access medical data/information via a software solution to assist/aid in the treatment of a medical condition. c) Develop a common data management architecture that can be ubiquitously used to automate repetitive data collection, management, and communications tasks for all crew health and life sciences activities. d) Develop a common data management architecture that allows for scalability, extensibility, and interoperability of data sources and data users. e) Lower total cost of ownership for development and sustainment of peripheral hardware and software that use EMSD for data management f) Provide

  17. Interactive Videodisc Case Studies for Medical Education

    PubMed Central

    Harless, William G.; Zier, Marcia A.; Duncan, Robert C.

    1986-01-01

    The TIME Project of the Lister Hill National Center for Biomedical Communications is using interactive videodisc, microprocessor and voice recognition technology to create patient simulations for use in the training of medical students. These interactive case studies embody dramatic, lifelike portrayals of the social and medical conditions of a patient and allow uncued, verbal intervention by the student for independent clinical decisions.

  18. Bridging the gap between science and decision making.

    PubMed

    von Winterfeldt, Detlof

    2013-08-20

    All decisions, whether they are personal, public, or business-related, are based on the decision maker's beliefs and values. Science can and should help decision makers by shaping their beliefs. Unfortunately, science is not easily accessible to decision makers, and scientists often do not understand decision makers' information needs. This article presents a framework for bridging the gap between science and decision making and illustrates it with two examples. The first example is a personal health decision. It shows how a formal representation of the beliefs and values can reflect scientific inputs by a physician to combine with the values held by the decision maker to inform a medical choice. The second example is a public policy decision about managing a potential environmental hazard. It illustrates how controversial beliefs can be reflected as uncertainties and informed by science to make better decisions. Both examples use decision analysis to bridge science and decisions. The conclusions suggest that this can be a helpful process that requires skills in both science and decision making.

  19. Decisions for Industry

    ERIC Educational Resources Information Center

    Atthill, Charles

    1974-01-01

    The main aim of the Decisions projects is to illustrate, through group work, some of the features of decision making in the business world. The exercises take as their starting point real problems confronting an oil company, and use real data as the basis for problem solving and decision making. (Author)

  20. Sustainability Based Decision Making

    EPA Science Inventory

    With sustainability as the “true north” for EPA research, a premium is placed on the ability to make decisions under highly complex and uncertain conditions. The primary challenge is reconciling disparate criteria toward credible and defensible decisions. Making decisions on on...

  1. Measurement Decision Theory.

    ERIC Educational Resources Information Center

    Rudner, Lawrence M.

    This paper describes and evaluates the use of decision theory as a tool for classifying examinees based on their item response patterns. Decision theory, developed by A. Wald (1947) and now widely used in engineering, agriculture, and computing, provides a simple model for the analysis of categorical data. Measurement decision theory requires only…

  2. Entrustment Decision Making in Clinical Training.

    PubMed

    Ten Cate, Olle; Hart, Danielle; Ankel, Felix; Busari, Jamiu; Englander, Robert; Glasgow, Nicholas; Holmboe, Eric; Iobst, William; Lovell, Elise; Snell, Linda S; Touchie, Claire; Van Melle, Elaine; Wycliffe-Jones, Keith

    2016-02-01

    The decision to trust a medical trainee with the critical responsibility to care for a patient is fundamental to clinical training. When carefully and deliberately made, such decisions can serve as significant stimuli for learning and also shape the assessment of trainees. Holding back entrustment decisions too much may hamper the trainee's development toward unsupervised practice. When carelessly made, however, they jeopardize patient safety. Entrustment decision-making processes, therefore, deserve careful analysis.Members (including the authors) of the International Competency-Based Medical Education Collaborative conducted a content analysis of the entrustment decision-making process in health care training during a two-day summit in September 2013 and subsequently reviewed the pertinent literature to arrive at a description of the critical features of this process, which informs this article.The authors discuss theoretical backgrounds and terminology of trust and entrustment in the clinical workplace. The competency-based movement and the introduction of entrustable professional activities force educators to rethink the grounds for assessment in the workplace. Anticipating a decision to grant autonomy at a designated level of supervision appears to align better with health care practice than do most current assessment practices. The authors distinguish different modes of trust and entrustment decisions and elaborate five categories, each with related factors, that determine when decisions to trust trainees are made: the trainee, supervisor, situation, task, and the relationship between trainee and supervisor. The authors' aim in this article is to lay a theoretical foundation for a new approach to workplace training and assessment.

  3. Challenging Return to Play Decisions

    PubMed Central

    Asplund, Chad A.; O’Connor, Francis G.

    2015-01-01

    Context: Sports medicine providers frequently return athletes to play after sports-related injuries and conditions. Many of these conditions have guidelines or medical evidence to guide the decision-making process. Occasionally, however, sports medicine providers are challenged with complex medical conditions for which there is little evidence-based guidance and physicians are instructed to individualize treatment; included in this group of conditions are exertional heat stroke (EHS), exertional rhabdomyolysis (ER), and exertional collapse associated with sickle cell trait (ECAST). Evidence Acquisition: The MEDLINE (2000-2015) database was searched using the following search terms: exertional heat stroke, exertional rhabdomyolysis, and exertional collapse associated with sickle cell trait. References from consensus statements, review articles, and book chapters were also utilized. Study Design: Clinical review. Level of Evidence: Level 4. Results: These entities are unique in that they may cause organ system damage capable of leading to short- or long-term detriments to physical activity and may not lend to complete recovery, potentially putting the athlete at risk with premature return to play. Conclusion: With a better understanding of the pathophysiology of EHS, ER, and ECAST and the factors associated with recovery, better decisions regarding return to play may be made. PMID:26896216

  4. Maintaining medical independence in advanced age.

    PubMed

    Barber, Ann

    2009-01-01

    Juneteenth Day celebrates June 19, 1865, when Major General Granger landed in Texas with news that the Civil War had ended and that slaves were now free (History of Juneteenth, n.d.). Similarly, this article brings you news that patients are free to make their own medical decisions. American law now guarantees the right of all patients to make their own such decisions. Thus, this article introduces the concept of medical policy statements, a new way for patients to give instructions to medical professionals.

  5. Double standards in special medical research: questioning the discrepancy between requirements for medical research involving incompetent adults and medical research involving children.

    PubMed

    Stepanov, Nikola A; Smith, Malcolm K

    2013-09-01

    Medical research represents a substantial departure from conventional medical care. Medical care is patient-orientated, with decisions based on the best interests and/or wishes of the person receiving the care. In contrast, medical research is future-directed. Primarily it aims to contribute new knowledge about illness or disease, or new knowledge about interventions, such as drugs, that impact upon some human condition. Current State and Territory laws and research ethics guidelines in Australia relating to the review of medical research appropriately acknowledge that the functions of medical care and medical research differ. Prior to a medical research project commencing, the study must be reviewed and approved by a Human Research Ethics Committee (HREC). For medical research involving incompetent adults, some jurisdictions require an additional, independent safeguard by way of tribunal or court approval of medical research protocols. This extra review process reflects the uncertainty of medical research involvement, and the difficulties surrogate decision-makers of incompetent adults face in making decisions about others, and deliberating about the risks and benefits of research involvement. Parents of children also face the same difficulties when making decisions about their child's research involvement. However, unlike the position concerning incompetent adults, there are no similar safeguards under Australian law in relation to the approval of medical research involving children. This column questions why this discrepancy exists with a view to generating further dialogue on the topic.

  6. Intelligent Medical Systems for Aerospace Emergency Medical Services

    NASA Technical Reports Server (NTRS)

    Epler, John; Zimmer, Gary

    2004-01-01

    The purpose of this project is to develop a portable, hands free device for emergency medical decision support to be used in remote or confined settings by non-physician providers. Phase I of the project will entail the development of a voice-activated device that will utilize an intelligent algorithm to provide guidance in establishing an airway in an emergency situation. The interactive, hands free software will process requests for assistance based on verbal prompts and algorithmic decision-making. The device will allow the CMO to attend to the patient while receiving verbal instruction. The software will also feature graphic representations where it is felt helpful in aiding in procedures. We will also develop a training program to orient users to the algorithmic approach, the use of the hardware and specific procedural considerations. We will validate the efficacy of this mode of technology application by testing in the Johns Hopkins Department of Emergency Medicine. Phase I of the project will focus on the validation of the proposed algorithm, testing and validation of the decision making tool and modifications of medical equipment. In Phase 11, we will produce the first generation software for hands-free, interactive medical decision making for use in acute care environments.

  7. [Medical politics. Graffiti].

    PubMed

    Fugelli, P

    1991-03-20

    If doctors want to play a role in future health promotion, they have to leave their citadel, and come closer to life and society. Modern preventive medicine cannot be dissociated from basic political, cultural and religious values and processes. Genetic counseling and engineering, influencing lifestyle, community intervention and changing the health culture among patients and doctors all require ethical and political competence rather than traditional medical skills. The author advocates the development of a new discipline, medical politics, with two major commitments: -To define basic health rights -To study the public health consequences of political systems and decisions. In a polemic and provocative style the article enlightens the potentials and dangers associated with an expanded concept of preventive medicine.

  8. Make better decisions.

    PubMed

    Davenport, Thomas H

    2009-11-01

    Traditionally, decision making in organizations has rarely been the focus of systematic analysis. That may account for the astounding number of recent poor calls, such as decisions to invest in and securitize subprime mortgage loans or to hedge risk with credit default swaps. Business books are rich with insights about the decision process, but organizations have been slow to adopt their recommendations. It's time to focus on decision making, Davenport says, and he proposes four steps: (1) List and prioritize the decisions that must be made; (2) assess the factors that go into each, such as who plays what role, how often the decision must be made, and what information is available to support it; (3) design the roles, processes, systems, and behaviors your organization needs; and (4) institutionalize decision tools and assistance. The Educational Testing Service and The Stanley Works, among others, have succeeded in improving their decisions. ETS established a centralized deliberative body to make evidence-based decisions about new-product offerings, and Stanley has a Pricing Center of Excellence with internal consultants dedicated to its various business units. Leaders should bring multiple perspectives to their decision making, beware of analytical models that managers don't understand, be clear about their assumptions, practice "model management," and--because only people can revise decision criteria over time--cultivate human backups.

  9. [Euthanasia: medications and medical procedures].

    PubMed

    Lossignol, D

    2008-09-01

    The Belgian law relative to euthanasia has been published in 2002. A physician is allowed to help a patient with intractable suffering (physical or psychological). Legal conditions are clear. However, nothing is said about medical procedures or medications to be used. The present paper will present specific clinical situations at the end of life, practical procedures and medications. A special focus is made on psychological impact of euthanasia.

  10. Thinking Processes Used by Nurses in Clinical Decision Making.

    ERIC Educational Resources Information Center

    Higuchi, Kathryn A. Smith; Donald, Janet G.

    2002-01-01

    Interviews with eight medical and surgical nurses and audits of patient charts investigated clinical decision-making processes. Predominant thinking processes were description of facts, selection of information, inference, syntheses, and verification, with differences between medical and surgical specialties. Exemplars of thinking processes…

  11. Monitoring medication.

    PubMed

    Griffiths, Matt

    2016-08-17

    A recent study from researchers at Ghent University in Belgium, involving 503 community-based adults aged 80 and over, found that 58% were taking five or more long-term medications daily, but few were taking them appropriately. The underuse of prescribed medication occurred in 67% of those studied and misuse occurred in 56%, with some overlap.

  12. A demonstration of shared decision making in primary care highlights barriers to adoption and potential remedies.

    PubMed

    Friedberg, Mark W; Van Busum, Kristin; Wexler, Richard; Bowen, Megan; Schneider, Eric C

    2013-02-01

    Recent developments in health reform related to the passage of the Affordable Care Act and ensuing regulations encourage delivery systems to engage in shared decision making, in which patients and providers together make health care decisions that are informed by medical evidence and tailored to the specific characteristics and values of the patient. To better understand how delivery systems can implement shared decision making, we interviewed representatives of eight primary care sites participating in a demonstration funded and coordinated by the Informed Medical Decisions Foundation. Barriers to shared decision making included overworked physicians, insufficient provider training, and clinical information systems incapable of prompting or tracking patients through the decision-making process. Methods to improve shared decision making included using automatic triggers for the distribution of decision aids and engaging team members other than physicians in the process. We conclude that substantial investments in provider training, information systems, and process reengineering may be necessary to implement shared decision making successfully.

  13. Why do patients engage in medical tourism?

    PubMed

    Runnels, Vivien; Carrera, P M

    2012-12-01

    Medical tourism is commonly perceived and popularly depicted as an economic issue, both at the system and individual levels. The decision to engage in medical tourism, however, is more complex, driven by patients' unmet need, the nature of services sought and the manner by which treatment is accessed. In order to beneficially employ the opportunities medical tourism offers, and address and contain possible threats and harms, an informed decision is crucial. This paper aims to enhance the current knowledge on medical tourism by isolating the focal content of the decisions that patients make. Based on the existing literature, it proposes a sequential decision-making process in opting for or against medical care abroad, and engaging in medical tourism, including considerations of the required treatments, location of treatment, and quality and safety issues attendant to seeking care. Accordingly, it comments on the imperative of access to health information and the current regulatory environment which impact on this increasingly popular and complex form of accessing and providing medical care.

  14. The Importance Of Integrating Narrative Into Health Care Decision Making.

    PubMed

    Dohan, Daniel; Garrett, Sarah B; Rendle, Katharine A; Halley, Meghan; Abramson, Corey

    2016-04-01

    When making health care decisions, patients and consumers use data but also gather stories from family and friends. When advising patients, clinicians consult the medical evidence but also use professional judgment. These stories and judgments, as well as other forms of narrative, shape decision making but remain poorly understood. Furthermore, qualitative research methods to examine narrative are rarely included in health science research. We illustrate how narratives shape decision making and explain why it is difficult but necessary to integrate qualitative research on narrative into the health sciences. We draw on social-scientific insights on rigorous qualitative research and our ongoing studies of decision making by patients with cancer, and we describe new tools and approaches that link qualitative research findings with the predominantly quantitative health science scholarship. Finally, we highlight the benefits of more fully integrating qualitative research and narrative analysis into the medical evidence base and into evidence-based medical practice.

  15. Bayesian Decision Support for Adaptive Lung Treatments

    NASA Astrophysics Data System (ADS)

    McShan, Daniel; Luo, Yi; Schipper, Matt; TenHaken, Randall

    2014-03-01

    Purpose: A Bayesian Decision Network will be demonstrated to provide clinical decision support for adaptive lung response-driven treatment management based on evidence that physiologic metrics may correlate better with individual patient response than traditional (population-based) dose and volume-based metrics. Further, there is evidence that information obtained during the course of radiation therapy may further improve response predictions. Methods: Clinical factors were gathered for 58 patients including planned mean lung dose, and the bio-markers IL-8 and TGF-β1 obtained prior to treatment and two weeks into treatment along with complication outcomes for these patients. A Bayesian Decision Network was constructed using Netica 5.0.2 from Norsys linking these clinical factors to obtain a prediction of radiation induced lung disese (RILD) complication. A decision node was added to the network to provide a plan adaption recommendation based on the trade-off between the RILD prediction and complexity of replanning. A utility node provides the weighting cost between the competing factors. Results: The decision node predictions were optimized against the data for the 58 cases. With this decision network solution, one can consider the decision result for a new patient with specific findings to obtain a recommendation to adaptively modify the originally planned treatment course. Conclusions: A Bayesian approach allows handling and propagating probabilistic data in a logical and principled manner. Decision networks provide the further ability to provide utility-based trade-offs, reflecting non-medical but practical cost/benefit analysis. The network demonstrated illustrates the basic concept, but many other factors may affect these decisions and work on building better models are being designed and tested. Acknowledgement: Supported by NIH-P01-CA59827

  16. Applying a family systems lens to proxy decision making in clinical practice and research.

    PubMed

    Rolland, John S; Emanuel, Linda L; Torke, Alexia M

    2017-03-01

    When patients are incapacitated and face serious illness, family members must make medical decisions for the patient. Medical decision sciences give only modest attention to the relationships among patients and their family members, including impact that these relationships have on the decision-making process. A review of the literature reveals little effort to systematically apply a theoretical framework to the role of family interactions in proxy decision making. A family systems perspective can provide a useful lens through which to understand the dynamics of proxy decision making. This article considers the mutual impact of family systems on the processes and outcomes of proxy decision making. The article first reviews medical decision science's evolution and focus on proxy decision making and then reviews a family systems approach, giving particular attention to Rolland's Family Systems Illness Model. A case illustrates how clinical practice and how research would benefit from bringing family systems thinking to proxy decisions. We recommend including a family systems approach in medical decision science research and clinical practices around proxy decisions making. We propose that clinical decisions could be less conflicted and less emotionally troubling for families and clinicians if family systems approaches were included. This perspective opens new directions for research and novel approaches to clinical care. (PsycINFO Database Record

  17. GPS Decision Analysis Process

    DTIC Science & Technology

    2005-06-23

    712 A/B: GPS Decision Analysis Process Revised title:___________________________________________________________________ Presented in (input and Bold...JUN 2005 2. REPORT TYPE N/A 3. DATES COVERED - 4. TITLE AND SUBTITLE GPS Decision Analysis Process 5a. CONTRACT NUMBER 5b. GRANT NUMBER...Prescribed by ANSI Std Z39-18 GPS Decision Analysis Process Nisha Shah The Boeing Company 73rd MORS Symposium US Military Academy – West Point 21-23

  18. Medical Scientists

    MedlinePlus

    ... scientists typically have a Ph.D., usually in biology or a related life science. Some medical scientists ... specialize in this field seek to understand the biology of aging and investigate ways to improve the ...

  19. ADHD Medications

    MedlinePlus

    ... under a psychiatrist's or other doctor's care. ADHD medications have helped teens with ADHD in all sorts of areas, even helping reduce things like substance abuse, injuries, and automobile accidents. ADHD medicines also can ...

  20. Medication Guide

    MedlinePlus

    ... more than one type of medication. Alpha Agonist Company Brand Name Generic Name Alcon, Inc. Iopidine® Apraclonidine ... drowsiness, dry mouth and dry nose. Beta Blockers Company Brand Name Generic Name Akorn Ophthalmics Timolol Maleate ...

  1. Medical Marijuana.

    PubMed

    Capriotti, Teri

    2016-01-01

    The use of medicinal marijuana is increasing. Marijuana has been shown to have therapeutic effects in certain patients, but further research is needed regarding the safety and efficacy of marijuana as a medical treatment for various conditions. A growing body of research validates the use of marijuana for a variety of healthcare problems, but there are many issues surrounding the use of this substance. This article discusses the use of medical marijuana and provides implications for home care clinicians.

  2. Medical Acoustics

    NASA Astrophysics Data System (ADS)

    Beach, Kirk W.; Dunmire, Barbrina

    Medical acoustics can be subdivided into diagnostics and therapy. Diagnostics are further separated into auditory and ultrasonic methods, and both employ low amplitudes. Therapy (excluding medical advice) uses ultrasound for heating, cooking, permeablizing, activating and fracturing tissues and structures within the body, usually at much higher amplitudes than in diagnostics. Because ultrasound is a wave, linear wave physics are generally applicable, but recently nonlinear effects have become more important, even in low-intensity diagnostic applications.

  3. [Criminal prosecution for medical errors].

    PubMed

    Legemaate, J

    2011-01-01

    A policy document providing instructions on the decision to prosecute in medical errors came into effect on November 1st 2010. In this document the Dutch Public Prosecution Service has attempted to make clear which criteria should be adopted when deciding to prosecute in the case of a medical error. There have also been other recent developments in this context: the public prosecutor can now demand access to medical files in certain, highly exceptional circumstances, such as when patients are themselves suspected of committing a criminal offence; and the Dutch Health Care Inspectorate may only pass on a patient's medical file to the public prosecutor if the prosecutor is already in possession of a copy of it. The new policy document leaves several questions unanswered. It does not consider the criminal liability of health care institutions, for example, and there is too much focus on the responsibilities of individual health care workers.

  4. Decision Making in Action

    NASA Technical Reports Server (NTRS)

    Orasanu, Judith; Statler, Irving C. (Technical Monitor)

    1994-01-01

    The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication

  5. Patients' responsibilities in medical ethics.

    PubMed

    Draper, Heather; Sorell, Tom

    2002-08-01

    Patients have not been entirely ignored in medical ethics. There has been a shift from the general presumption that 'doctor knows best' to a heightened respect for patient autonomy. Medical ethics remains one-sided, however. It tends (incorrectly) to interpret patient autonomy as mere participation in decisions, rather than a willingness to take the consequences. In this respect, medical ethics remains largely paternalistic, requiring doctors to protect patients from the consequences of their decisions. This is reflected in a one-sided account of duties in medical ethics. Duties fall mainly on doctors and only exceptionally on patients. Medical ethics may exempt patient from obligations because they are the weaker or more vulnerable party in the doctor-patient relationship. We argue that vulnerability does not exclude obligation. We also look at other ways in which patient responsibilities flow from general ethics: for instance, from responsibilities to others and to the self, from duties of citizens, and from the responsibilities of those who solicit advice. Finally, we argue that certain duties of patients counterbalance an otherwise unfair capacity of doctors as helpers.

  6. Clinical Strategies for Integrating Medication Interventions Into Behavioral Treatment for Adolescent ADHD: The Medication Integration Protocol

    PubMed Central

    Hogue, Aaron; Bobek, Molly; Tau, Gregory Z.; Levin, Frances R.

    2014-01-01

    Attention-Deficit/Hyperactivity Disorder (ADHD) is highly prevalent among adolescents enrolled in behavioral health services but remains undertreated in this age group. Also the first-line treatment for adolescent ADHD, stimulant medication, is underutilized in routine practice. This article briefly describes three behavioral interventions designed to promote stronger integration of medication interventions into treatment planning for adolescent ADHD: family ADHD psychoeducation, family-based medication decision-making, and behavior therapist leadership in coordinating medication integration. It then introduces the Medication Integration Protocol (MIP), which incorporates all three interventions into a five-task protocol: ADHD Assessment and Medication Consult; ADHD Psychoeducation and Client Acceptance; ADHD Symptoms and Family Relations; ADHD Medication and Family Decision-Making; and Medication Management and Integration Planning. The article concludes by highlighting what behavior therapists should know about best practices for medication integration across diverse settings and populations: integrating medication interventions into primary care, managing medication priorities and polypharmacy issues for adolescents with multiple diagnoses, providing ADHD medications to adolescent substance users, and the compatibility of MIP intervention strategies with everyday practice conditions. PMID:25505817

  7. Decisions about Drug Use. Adolescent Decisions Curriculum.

    ERIC Educational Resources Information Center

    Brion-Meisels, Steven; And Others

    This teacher's manual for drug abuse education is one volume of a six volume curriculum for the secondary level, designed to provide a systematic, group-oriented approach to decision-making in areas crucial to adolescent development: drug (substance) use and abuse, sexuality and social relationships, juvenile law, work and people and government.…

  8. Participative Decision-Making.

    ERIC Educational Resources Information Center

    Lindelow, John; And Others

    Chapter 6 in a volume on school leadership, this chapter makes a case for the use of participative decision-making (PDM) at the school-site level, outlines guidelines for its implementation, and describes the experiences of some schools with PDM systems. It begins by citing research indicating the advantages of PDM, including better decisions,…

  9. Improving Decision Making.

    ERIC Educational Resources Information Center

    Mehallis, Mantha, Ed.

    1981-01-01

    This collection of essays focuses on the importance of accurate and timely information for effective decision making. First, Ivan Lach considers the proliferation of statewide planning and policy formation and discusses problems with and ways to improve statewide research. Next, Cheryl Opacinch focuses on decision making for federal postsecondary…

  10. Consumer Decisions. Student Manual.

    ERIC Educational Resources Information Center

    Florida State Dept. of Education, Tallahassee. Div. of Vocational Education.

    This student manual covers five areas relating to consumer decisions. Titles of the five sections are Consumer Law, Consumer Decision Making, Buying a Car, Convenience Foods, and Books for Preschool Children. Each section may contain some or all of these materials: list of objectives, informative sections, questions on the information and answers,…

  11. Decision Points in Cataloging.

    ERIC Educational Resources Information Center

    Bright, Franklyn F.

    Libraries are frequently faced with policy decisions which can affect the quality and cost of library services for years to come. This point can be illustrated by citing examples of decisions made at the University of Wisconsin Library in the areas of: (1) conforming to national cataloging standards; (2) producing catalog cards in-house; and (3)…

  12. Understanding The Lau Decision.

    ERIC Educational Resources Information Center

    Gounaris, Marilyn

    In a question and answer format, this booklet describes the Lau v. Nichols decision in which the Supreme Court ruled that the San Francisco Unified School District was guilty of discrimination because non-English speaking students were not given special language instruction. The booklet presents the basis for the Lau decision, describing a…

  13. Designing for Decision Making

    ERIC Educational Resources Information Center

    Jonassen, David H.

    2012-01-01

    Decision making is the most common kind of problem solving. It is also an important component skill in other more ill-structured and complex kinds of problem solving, including policy problems and design problems. There are different kinds of decisions, including choices, acceptances, evaluations, and constructions. After describing the centrality…

  14. Improving Educational Administrative Decisions.

    ERIC Educational Resources Information Center

    Wolfe, A. E.

    This paper discusses the financial crisis facing public education in the United States today and argues that the most effective response to this crisis is to improve the decision-making skills of educational administrators. Based on a review of the literature on administrative decision-making and organizational change, the author examines several…

  15. Probability, clinical decision making and hypothesis testing

    PubMed Central

    Banerjee, A.; Jadhav, S. L.; Bhawalkar, J. S.

    2009-01-01

    Few clinicians grasp the true concept of probability expressed in the ‘P value.’ For most, a statistically significant P value is the end of the search for truth. In fact, the opposite is the case. The present paper attempts to put the P value in proper perspective by explaining different types of probabilities, their role in clinical decision making, medical research and hypothesis testing. PMID:21234167

  16. Defense against nuclear weapons: a decision analysis.

    PubMed

    Orient, J M

    1985-02-01

    Response to the public health threat posed by nuclear weapons is a medical imperative. The United States, in contrast to other nations, has chosen a course that assures maximal casualties in the event of a nuclear attack, on the theory that prevention of the attack is incompatible with preventive measures against its consequences, such as blast injuries and radiation sickness. A decision analysis approach clarifies the risks and benefits of a change to a strategy of preparedness.

  17. Medical Renaissance.

    PubMed

    Toledo-Pereyra, Luis H

    2015-06-01

    The Medical Renaissance started as the regular Renaissance did in the early 1400s and ended in the late 1600s. During this time great medical personalities and scholar humanists made unique advances to medicine and surgery. Linacre, Erasmus, Leonicello and Sylvius will be considered first, because they fit the early classic Renaissance period. Andreas Vesalius and Ambroise Paré followed thereafter, making outstanding anatomical contributions with the publication of the "Human Factory" (1543) by Vesalius, and describing unique surgical developments with the publication of the "The Apologie and Treatise of Ambroise Paré." At the end of the Renaissance and beginning of the New Science, William Harvey, noted British medical doctor and cardiovascular researcher, discovered the general circulation. He published his findings in "The Motu Cordis" in 1628 (Figure 1). The Medical Renaissance, in summary, included a great number of accomplished physicians and surgeons who made especial contributions to human anatomy; Vesalius assembled detailed anatomical information; Paré advanced surgical techniques; and Harvey, a medical genius, detailed the circulatory anatomy and physiology.

  18. The Costs and Risks of Medical Care

    PubMed Central

    McPhee, Stephen J.; Myers, Lois P.; Schroeder, Steven A.

    1982-01-01

    Understanding the costs and risks of medical care, as well as the benefits, is essential to good medical practice. The literature on this topic transcends disciplines, making it a challenge for clinicians and medical educators to compile information on costs and risks for use in patient care. This annotated bibliography presents summaries of pertinent references on (1) financial costs of care, (2) excessive use of medical services, (3) clinical risks of care, (4) decision analysis, (5) cost-benefit analyses, (6) factors affecting physician use of services and (7) strategies to improve physician ordering patterns. PMID:6814071

  19. Medical selection: Auschwitz antecedents and effluent.

    PubMed

    Seidelman, W E

    1989-01-01

    Medical selection in Auschwitz represents the penultimate application of the traditional paradigm of medicine; the physician as gatekeeper, and decision maker. The historical evolution of that role is considered in the context of public health, medical police, quarantine and immigration. In Nazi Germany the physician was assigned responsibility for selection on behalf of the state. The ethical implications of medical selection are considered in the context of medicine today in an age of sophisticated biotechnology, constrained resources, and an aging population; an age in which the medical profession has yet to establish a fundamental system of values.

  20. Medical selection: Auschwitz antecedents and effluent.

    PubMed

    Seidelman, W E

    1991-01-01

    Medical selection in Auschwitz represents the penultimate application of the traditional paradigm of medicine: the physician as gatekeeper and decision maker. The historical evolution of that role is considered in the context of public health, medical police, quarantine, and immigration. In Nazi Germany the physician was assigned responsibility for selection on behalf of the state. The ethical implications of medical selection are considered in the context of medicine today in an age of sophisticated biotechnology, constrained resources, and an aging population; an age in which the medical profession has yet to establish a fundamental system of values.

  1. Medication Adherence: A Call for Action

    PubMed Central

    Bosworth, Hayden B.; Granger, Bradi B.; Mendys, Phil; Brindis, Ralph; Burkholder, Rebecca; Czajkowski, Susan M.; Daniel, Jodi G.; Ekman, Inger; Ho, Michael; Johnson, Mimi; Kimmel, Stephen E.; Liu, Larry Z; Musaus, John; Shrank, William H.; Buono, Elizabeth Whalley; Weiss, Karen; Granger, Christopher B.

    2013-01-01

    Poor adherence to efficacious cardiovascular related medications has led to considerable morbidity, mortality, and avoidable health care costs. This paper provides results of a recent think tank meeting in which various stakeholder groups representing key experts from consumers, community health providers, the academic community, decision-making government officials (FDA, NIH, etc), and industry scientists met to evaluate the current status of medication adherence and provide recommendations for improving outcomes. Below, we review the magnitude of the problem of medication adherence, prevalence, impact, and cost. We then summarize proven effective approaches and conclude with a discussion of recommendations to address this growing and significant public health issue of medication non adherence. PMID:21884856

  2. Access to medical-assisted reproduction and pgd in Italian law: a deadly blow to an illiberal statute? commentary to the European Court on Human Rights's decision Costa and Pavan v Italy (ECtHR, 28 August 2012, App. 54270/2010).

    PubMed

    Biondi, Stefano

    2013-01-01

    This article provides an account of the European Court on Human Rights' Second Section decision in the case Costa and Pavan v Italy. The judgment found that the Italian Statute on Assisted Reproduction (Law 40/2004), and particularly its prohibition to use in vitro fertilisation and pre-implantation genetic diagnosis (PGD) to prevent the birth of children affected by genetically transmissible conditions, breached Article 8 of the European Convention on Human Rights (ECHR). In fact, the statute in question permits only infertile people to access medically assisted reproduction techniques and forbids PGD and embryo selection. The Court regarded that the rationale of these prohibitions-identified by the Italian Government with the need to prevent eugenic practices as well as to protect the health of the unborn and of the woman-was at odds with the fact that Italian law allows pre-natal screening and therapeutic abortions in case foetal abnormalities are diagnosed. In order to clarify the decision's significance, the paper goes on to analyse the rationale of Law 40/2004 in the Italian legal and political context. Emphasis is placed on the fact that this statute is extremely controversial at domestic level, because many of its provisions-including those considered by the Strasbourg Court-are inherently contradictory and contrast with the settled constitutional principles on abortion, as many domestic authorities highlighted. In this context, should the commented decision be confirmed by the Grand Chamber, it may provide a basis to bring consistency back to the Italian regulation of assisted reproduction. Finally, the paper considers the appeal lodged by the Italian Government to the Grand Chamber, and in particular the contention that the European Court had failed to respect Italy's margin of appreciation. In this regard, it is argued that, under Law 40/2004, individuals face illogical and discriminatory restrictions to their right to private and family life and that

  3. End-of-life decisions in neonates.

    PubMed

    Kollée, L A; van der Heide, A; de Leeuw, R; van der Maas, P J; van der Wal, G

    1999-06-01

    In a large percentage of the infants who die in the neonatal intensive care setting, an end-of-life decision was made before death, usually a decision to forego life-sustaining treatment. This was confirmed in a recent study in The Netherlands that showed also that a minority of cases include the administration of drugs to hasten death, usually in patients with severe congenital multiple or central nervous system anomalies. Over 80% of Dutch pediatricians support this option under certain conditions. Almost all pediatricians are of the opinion that these cases have to be subject to public review, but they favor review by a committee of independent medical, judicial, and ethical professionals rather than by the public prosecutor. A discussion group on this subject recently made a proposal for such a reviewing procedure to the Dutch governmental authorities and described the requirements concerning end-of-life decisions in neonatal medicine. Proper handling of ethical aspects of medical treatment including review and feedback after end-of-life decisions can contribute to high standards of quality of care.

  4. Medical Biofilms

    PubMed Central

    2009-01-01

    For more than two decades, Biotechnology and Bioengineering has documented research focused on natural and engineered microbial biofilms within aquatic and subterranean ecosystems, wastewater and waste-gas treatment systems, marine vessels and structures, and industrial bioprocesses. Compared to suspended culture systems, intentionally engineered biofilms are heterogeneous reaction systems that can increase reactor productivity, system stability, and provide inherent cell: product separation. Unwanted biofilms can create enormous increases in fluid frictional resistances, unacceptable reductions in heat transfer efficiency, product contamination, enhanced material deterioration, and accelerated corrosion. Missing from B&B has been an equivalent research dialogue regarding the basic molecular microbiology, immunology, and biotechnological aspects of medical biofilms. Presented here are the current problems related to medical biofilms; current concepts of biofilm formation, persistence, and interactions with the host immune system; and emerging technologies for controlling medical biofilms. PMID:18366134

  5. Medical leasing.

    PubMed

    Holden, Elizabeth A

    2012-01-01

    Leases for medical space can have far-reaching (and sometimes unintentional) consequences for the future of the practice and the costs of the business. In order to prevent hardship and expense down the line, it is especially important to review the lease to make sure that it reflects the practice's goals, needs, and structure. This article provides a number of provisions that are especially crucial to review and negotiate when leasing medical space, including use restrictions, assignment and subleasing clauses, build-out terms, and legal compliance requirements.

  6. Medical genetics

    SciTech Connect

    Jorde, L.B.; Carey, J.C.; White, R.L.

    1995-10-01

    This book on the subject of medical genetics is a textbook aimed at a very broad audience: principally, medical students, nursing students, graduate, and undergraduate students. The book is actually a primer of general genetics as applied to humans and provides a well-balanced introduction to the scientific and clinical basis of human genetics. The twelve chapters include: Introduction, Basic Cell Biology, Genetic Variation, Autosomal Dominant and Recessive Inheritance, Sex-linked and Mitochondrial Inheritance, Clinical Cytogenetics, Gene Mapping, Immunogenetics, Cancer Genetics, Multifactorial Inheritance and Common Disease, Genetic Screening, Genetic Diagnosis and Gene Therapy, and Clinical Genetics and Genetic Counseling.

  7. Counterpoint: the treatment decision design.

    PubMed

    Brookhart, M Alan

    2015-11-15

    The comparative new-user design is a principled approach to learning about the relative risks and benefits of starting different treatments in patients who have no history of use of the treatments being studied. Vandenbroucke and Pearce (Am J Epidemiol. 2015;182(10):826-833) discuss some problems inherent in incident exposure designs and argue that epidemiology may be harmed by a rigid requirement that follow-up can only begin at first exposure. In the present counterpoint article, a range of problems in pharmacoepidemiology that do not necessarily require that observation begin at first exposure are discussed. For example, among patients who are past or current users of a medication, we might want to know whether treatment should be augmented, switched, restarted, or discontinued. To answer these questions, a generalization of the new-user design, the treatment decision design, which identifies cohorts anchored at times when treatment decisions are being made, such as the evaluation of laboratory parameters, is discussed. The design aims to provide estimates that are directly relevant to physicians and patients, helping them to better understand the risks and benefits of the different treatment choices that they are considering.

  8. Rapid Decisions From Experience

    PubMed Central

    Zeigenfuse, Matthew D.; Pleskac, Timothy J.; Liu, Taosheng

    2014-01-01

    In many everyday decisions, people quickly integrate noisy samples of information to form a preference among alternatives that offer uncertain rewards. Here, we investigated this decision process using the Flash Gambling Task (FGT), in which participants made a series of choices between a certain payoff and an uncertain alternative that produced a normal distribution of payoffs. For each choice, participants experienced the distribution of payoffs via rapid samples updated every 50 ms. We show that people can make these rapid decisions from experience and that the decision process is consistent with a sequential sampling process. Results also reveal a dissociation between these preferential decisions and equivalent perceptual decisions where participants had to determine which alternatives contained more dots on average. To account for this dissociation, we developed a sequential sampling rank-dependent utility model, which showed that participants in the FGT attended more to larger potential payoffs than participants in the perceptual task despite being given equivalent information. We discuss the implications of these findings in terms of computational models of preferential choice and a more complete understanding of experience-based decision making. PMID:24549141

  9. Dissociation of decision making under ambiguity and decision making under risk: a neurocognitive endophenotype candidate for obsessive-compulsive disorder.

    PubMed

    Zhang, Long; Dong, Yi; Ji, Yifu; Zhu, Chunyan; Yu, Fengqiong; Ma, Huijuan; Chen, Xingui; Wang, Kai

    2015-03-03

    Evidence in the literature suggests that executive dysfunction is regarded as an endophenotype candidate for obsessive-compulsive disorder (OCD). Decision making is an important domain of executive function. However, few studies that have investigated whether decision making is a potential endophenotype for OCD have produced inconsistent results. Differences in the findings across these studies may be attributed to several factors: different study materials, comorbidity, medication, etc. There are at least two types of decision making that differ mainly in the degree of uncertainty and how much useful information about consequences and their probabilities are provided to the decision maker: decision making under ambiguity and decision making under risk. The aim of the present study was to simultaneously examine decision making under ambiguity as assessed by the Iowa Gambling Task (IGT) and decision making under risk as measured by the Game of Dice Task (GDT) in OCD patients and their unaffected first-degree relative (UFDR) for the first time. The study analyzed 55 medication-naïve, non-depressed OCD patient probands, 55 UFDRs of the OCD patients and 55 healthy matched comparison subjects (CS) without a family history of OCD with the IGT, the GDT and a neuropsychological test battery. While the OCD patients and the UFDRs performed worse than the CS on the IGT, they were unimpaired on the GDT. Our study supports the claim that decision making under ambiguity differs from decision making under risk and suggests that dissociation of decision making under ambiguity and decision making under risk may qualify to be a neurocognitive endophenotypes for OCD.

  10. Medical genetics

    SciTech Connect

    Nora, J.J.; Fraser, F.C.

    1989-01-01

    This book presents a discussion of medical genetics for the practitioner treating or counseling patients with genetic disease. It includes a discussion of the relationship of heredity and diseases, the chromosomal basis for heredity, gene frequencies, and genetics of development and maldevelopment. The authors also focus on teratology, somatic cell genetics, genetics and cancer, genetics of behavior.

  11. Medical Applications

    NASA Astrophysics Data System (ADS)

    Schieck, Hans Paetz Gen.

    The recent progress in medical imaging techniques such as magnetic-resonance imaging (nmr or mri), computer tomography (CT with X-rays), and positron-emission tomography (PET scanning using short-lived radioactive nuclei) has been impressive. Two areas where diagnostic tools lacked behind have been tomography of the blood vessels of the brain and of the bronchi.

  12. Medic Bleep.

    PubMed

    2017-03-15

    Medic Bleep is a secure instant messaging app that enables clinicians to discuss patient care quickly, securely and legally. It looks and feels like WhatsApp, but has been designed for the healthcare market to enable staff to communicate with each other, and to help speed up conversations between clinicians to increase efficiency.

  13. Medication Errors

    MedlinePlus

    ... common links HHS U.S. Department of Health and Human Services U.S. Food and Drug Administration A to Z Index Follow ... Practices National Patient Safety Foundation To Err is Human: ... Errors: Quality Chasm Series National Coordinating Council for Medication Error ...

  14. Glaucoma medications.

    PubMed

    Chae, Bora; Cakiner-Egilmez, Tulay; Desai, Manishi

    2013-01-01

    Glaucoma is a common eye condition that affects millions of individuals worldwide, making it the second-leading cause of blindness. Because glaucoma is associated with increased IOP level, the primary goal in treatment of glaucoma includes lowering IOP to prevent further progression of the disease. While various surgical interventions exist, medical therapy is currently the first line of treatment. Medical treatment of glaucoma includes topical beta-blockers, alpha-2 agonists, prostaglandins, parasympathomimetics and CAIs. Anti-glaucoma agents help reduce IOP by affecting the production of aqueous humor or increasing the outflow of aqueous through the trabecular or uveoscleral pathway. Choosing an appropriate medical regimen can be challenging and various factors such as efficacy, safety, cost and patient compliance must be considered. First-line treatment is often topical beta-blockers or prostaglandin analogs. However, beta-blocking agents can be associated with systemic side effects and need to be used cautiously in patients with serious concomitant cardiopulmonary disease. Alpha-2 agonists and parasympathomimetics are often considered second- or third-line treatment options but good adjunctive agents. Oral CAIs are often indicated for patients with elevated IOP in an acute setting or for patients resistant to other glaucoma medications and patients who are not good surgical candidates.

  15. [Medical geography].

    PubMed

    Hauri, D

    2007-10-17

    Hippocrates already noted that geographical factors such as climate, relief, geology but also settlement patterns had influenced the distribution of diseases. The task of medical geography is to investigate the associations between geographical factors and diseases. Thereby, geographic techniques and concepts are applied on health problems. Of particular importance is the mapping of diseases whose causes are environmental-related. In addition, epidemiological, ecological but also social scientific studies play an important part in the investigation of the associations between geographical factors and diseases. In order to understand the associations between the spatial distribution of diseases and environmental exposures, geographic information systems as well as statistical analyses have recently become more important. Some authors regard medical geography merely as supporting discipline of medicine. Nevertheless, as men and environment future and as they play an important part in the diffusion of diseases being regarded as defeated, medical geography will play an important part concerning medical questions. Especially travel medicine will rely on geographic knowledge, if a patient has to be consulted who plans to travel to an unknown country of which knowledge on the geographical distribution and ecology of diseases will be necessary.

  16. Quantum decision tree classifier

    NASA Astrophysics Data System (ADS)

    Lu, Songfeng; Braunstein, Samuel L.

    2013-11-01

    We study the quantum version of a decision tree classifier to fill the gap between quantum computation and machine learning. The quantum entropy impurity criterion which is used to determine which node should be split is presented in the paper. By using the quantum fidelity measure between two quantum states, we cluster the training data into subclasses so that the quantum decision tree can manipulate quantum states. We also propose algorithms constructing the quantum decision tree and searching for a target class over the tree for a new quantum object.

  17. The Use of the Integrated Medical Model for Forecasting and Mitigating Medical Risks for a Near-Earth Asteroid Mission

    NASA Technical Reports Server (NTRS)

    Kerstman, Eric; Saile, Lynn; Freire de Carvalho, Mary; Myers, Jerry; Walton, Marlei; Butler, Douglas; Lopez, Vilma

    2011-01-01

    Introduction The Integrated Medical Model (IMM) is a decision support tool that is useful to space flight mission managers and medical system designers in assessing risks and optimizing medical systems. The IMM employs an evidence-based, probabilistic risk assessment (PRA) approach within the operational constraints of space flight. Methods Stochastic computational methods are used to forecast probability distributions of medical events, crew health metrics, medical resource utilization, and probability estimates of medical evacuation and loss of crew life. The IMM can also optimize medical kits within the constraints of mass and volume for specified missions. The IMM was used to forecast medical evacuation and loss of crew life probabilities, as well as crew health metrics for a near-earth asteroid (NEA) mission. An optimized medical kit for this mission was proposed based on the IMM simulation. Discussion The IMM can provide information to the space program regarding medical risks, including crew medical impairment, medical evacuation and loss of crew life. This information is valuable to mission managers and the space medicine community in assessing risk and developing mitigation strategies. Exploration missions such as NEA missions will have significant mass and volume constraints applied to the medical system. Appropriate allocation of medical resources will be critical to mission success. The IMM capability of optimizing medical systems based on specific crew and mission profiles will be advantageous to medical system designers. Conclusion The IMM is a decision support tool that can provide estimates of the impact of medical events on human space flight missions, such as crew impairment, evacuation, and loss of crew life. It can be used to support the development of mitigation strategies and to propose optimized medical systems for specified space flight missions. Learning Objectives The audience will learn how an evidence-based decision support tool can be

  18. Decision making in family medicine

    PubMed Central

    Labrecque, Michel; Ratté, Stéphane; Frémont, Pierre; Cauchon, Michel; Ouellet, Jérôme; Hogg, William; McGowan, Jessie; Gagnon, Marie-Pierre; Njoya, Merlin; Légaré, France

    2013-01-01

    Abstract Objective To compare the ability of users of 2 medical search engines, InfoClinique and the Trip database, to provide correct answers to clinical questions and to explore the perceived effects of the tools on the clinical decision-making process. Design Randomized trial. Setting Three family medicine units of the family medicine program of the Faculty of Medicine at Laval University in Quebec city, Que. Participants Fifteen second-year family medicine residents. Intervention Residents generated 30 structured questions about therapy or preventive treatment (2 questions per resident) based on clinical encounters. Using an Internet platform designed for the trial, each resident answered 20 of these questions (their own 2, plus 18 of the questions formulated by other residents, selected randomly) before and after searching for information with 1 of the 2 search engines. For each question, 5 residents were randomly assigned to begin their search with InfoClinique and 5 with the Trip database. Main outcome measures The ability of residents to provide correct answers to clinical questions using the search engines, as determined by third-party evaluation. After answering each question, participants completed a questionnaire to assess their perception of the engine’s effect on the decision-making process in clinical practice. Results Of 300 possible pairs of answers (1 answer before and 1 after the initial search), 254 (85%) were produced by 14 residents. Of these, 132 (52%) and 122 (48%) pairs of answers concerned questions that had been assigned an initial search with InfoClinique and the Trip database, respectively. Both engines produced an important and similar absolute increase in the proportion of correct answers after searching (26% to 62% for InfoClinique, for an increase of 36%; 24% to 63% for the Trip database, for an increase of 39%; P = .68). For all 30 clinical questions, at least 1 resident produced the correct answer after searching with either

  19. Deciding when to intervene: a Markov decision process approach.

    PubMed

    Magni, P; Quaglini, S; Marchetti, M; Barosi, G

    2000-12-01

    The aim of this paper is to point out the difference between static and dynamic approaches to choosing the optimal time for intervention. The paper demonstrates that classical approaches, such as decision trees and influence diagrams, hardly cope with dynamic problems: they cannot simulate all the real-world strategies and consequently can only calculate suboptimal solutions. A dynamic formalism based on Markov decision processes (MPPs) is then proposed and applied to a medical problem: the prophylactic surgery in mild hereditary spherocytosis. The paper compares the proposed approach with a static approach on the same medical problem. The policy provided by the dynamic approach achieved significant gain over the static policy by delaying the intervention time in some categories of patients. The calculations are carried out with DT-Planner, a graphical decision aid specifically built for dealing with dynamic decision processes.

  20. Medical Device Safety

    MedlinePlus

    ... Home Medical Devices Medical Device Safety Medical Device Safety Share Tweet Linkedin Pin it More sharing options ... 17 More Medical Device Recalls Recent Medical Device Safety Communications FDA analyses and recommendations for patients and ...

  1. Soft Decision Analyzer

    NASA Technical Reports Server (NTRS)

    Lansdowne, Chatwin; Steele, Glen; Zucha, Joan; Schlesinger, Adam

    2013-01-01

    We describe the benefit of using closed-loop measurements for a radio receiver paired with a counterpart transmitter. We show that real-time analysis of the soft decision output of a receiver can provide rich and relevant insight far beyond the traditional hard-decision bit error rate (BER) test statistic. We describe a Soft Decision Analyzer (SDA) implementation for closed-loop measurements on single- or dual- (orthogonal) channel serial data communication links. The analyzer has been used to identify, quantify, and prioritize contributors to implementation loss in live-time during the development of software defined radios. This test technique gains importance as modern receivers are providing soft decision symbol synchronization as radio links are challenged to push more data and more protocol overhead through noisier channels, and software-defined radios (SDRs) use error-correction codes that approach Shannon's theoretical limit of performance.

  2. Reading the medical record. I. Analysis of physicians' ways of reading the medical record.

    PubMed

    Nygren, E; Henriksson, P

    1992-01-01

    Physicians were interviewed about their routines in everyday use of the medical record. From the interviews, we conclude that the medical record is a well functioning working instrument for the experienced physician. Using the medical record as a basis for decision making involves interpretation of format, layout and other textural features of the type-written data. Interpretation of these features provides effective guidance in the process of searching, reading and assessing the relevance of different items of information in the record. It seems that this is a skill which is an integrated part of diagnostic expertise. This skill plays an important role in decision making based on the large amount of information about a patient, which is exhibited to the reader in the medical record. This finding has implications for the design of user interfaces for reading computerized medical records.

  3. Personalizing Drug Selection Using Advanced Clinical Decision Support

    PubMed Central

    Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A.; Glauser, Tracy

    2009-01-01

    This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting. PMID:19898682

  4. Microcomputer-Based Expert System for Clinical Decision-Making

    PubMed Central

    Hudson, Donna L.; Estrin, Thelma

    1981-01-01

    A computerized rule-based expert system for chest pain analysis in the emergency room has been developed as a medical decision-making tool. The rules are based on a previously established criteria mapping procedure developed for evaluating emergency room decisions. The system is implemented in PASCAL, a standardized language, and hence is machine-independent, and also has modest memory requirements. The overall design permits usage by those unfamiliar with computers.

  5. Personalizing Drug Selection Using Advanced Clinical Decision Support.

    PubMed

    Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A; Glauser, Tracy

    2009-06-23

    This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States' leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting.

  6. Medication management during electroconvulsant therapy

    PubMed Central

    Zolezzi, Monica

    2016-01-01

    Electroconvulsive therapy (ECT) has demonstrated to be highly effective and safe, even life saving for many psychiatric disorders such as major depression, bipolar disorder and schizophrenia. Most patients who require ECT are also on concurrent pharmacotherapy. As such, the objective of this article is to provide a review of the most recent literature focusing on the medications used during an ECT procedure and on the effects of concurrent psychiatric and non-psychiatric medications on the effectiveness and safety of ECT. The review also attempts to summarize the recommendations derived from existing documents to guide pharmacotherapy decisions for patients undergoing ECT. For this purpose, using electronic databases, an extensive search of the current literature was made using ECT and medications or drug classes as keywords. PMID:27143894

  7. Future Directions in Medical Physics

    NASA Astrophysics Data System (ADS)

    Jeraj, Robert

    Medical Physics is a highly interdisciplinary field at the intersection between physics and medicine and biology. Medical Physics is aiming at development of novel applications of physical processes and techniques in various areas of medicine and biology. Medical Physics had and continues to have profound impact by developing improved imaging and treatment technologies, and helping to advance our understanding of the complexity of the disease. The general trend in medicine towards personalized therapy, and emphasis on accelerated translational research is having a profound impact on medical physics as well. In the traditional stronghold for medical physicists - radiation therapy - the new reality is shaping in the form of biologically conformal and combination therapies, as well as advanced particle therapy approaches, such as proton and ion therapies. Rapid increase in faster and more informative multi-modality medical imaging is bringing a wealth of information that is being complemented with data obtained from genomic profiling and other biomarkers. Novel data analysis and data mining approaches are proving grounds for employment of various artificial intelligence methods that will help further improving clinical decision making for optimization of various therapies as well as better understanding of the disease properties and disease evolution, ultimately leading to improved clinical outcomes.

  8. [Introduction to medical data mining].

    PubMed

    Zhu, Lingyun; Wu, Baoming; Cao, Changxiu

    2003-09-01

    Modern medicine generates a great deal of information stored in the medical database. Extracting useful knowledge and providing scientific decision-making for the diagnosis and treatment of disease from the database increasingly becomes necessary. Data mining in medicine can deal with this problem. It can also improve the management level of hospital information and promote the development of telemedicine and community medicine. Because the medical information is characteristic of redundancy, multi-attribution, incompletion and closely related with time, medical data mining differs from other one. In this paper we have discussed the key techniques of medical data mining involving pretreatment of medical data, fusion of different pattern and resource, fast and robust mining algorithms and reliability of mining results. The methods and applications of medical data mining based on computation intelligence such as artificial neural network, fuzzy system, evolutionary algorithms, rough set, and support vector machine have been introduced. The features and problems in data mining are summarized in the last section.

  9. Medical tourism.

    PubMed

    Reed, Christie M

    2008-11-01

    Searches of the literature or Internet using the term "medical tourism" produce two sets of articles: travel for the purpose of delivering health care or travel for the purpose of seeking health care. The first usage primarily appears in the medical literature and is beyond the scope of this article, which focuses on travel to seek health care. Still, there are some aspects these two topics have in common: both are affected by ease and speed of international travel and communication associated with globalization, and both raise questions about continuity of care as well as issues related to cultural, language, and legal differences; both also raise questions about ethics. This article describes some of the motivating factors, contributing elements, and challenges in elucidating trends, as well as implications for clinicians who provide pretravel advice and those who care for ill returning travelers.

  10. Medical imaging

    NASA Astrophysics Data System (ADS)

    Elliott, Alex

    2005-07-01

    Diagnostic medical imaging is a fundamental part of the practice of modern medicine and is responsible for the expenditure of considerable amounts of capital and revenue monies in healthcare systems around the world. Much research and development work is carried out, both by commercial companies and the academic community. This paper reviews briefly each of the major diagnostic medical imaging techniques—X-ray (planar and CT), ultrasound, nuclear medicine (planar, SPECT and PET) and magnetic resonance. The technical challenges facing each are highlighted, with some of the most recent developments. In terms of the future, interventional/peri-operative imaging, the advancement of molecular medicine and gene therapy are identified as potential areas of expansion.

  11. Graduate medical education: focus for change.

    PubMed

    Foreman, S

    1990-02-01

    The author documents a significant broadening of the interest of both state and federal government in influencing graduate medical education. He states that the unwillingness of the academic medical community to address the issues of manpower supply and specialty distribution, the limited effectiveness of minority enhancement programs, and an ambiguous position on foreign medical graduates have invited government intervention. The author maintains that such intervention was inevitable because academic medical centers have focused only on the educational process and the quality of graduates but have not dealt with the need to shape the output of their training programs to meet national health needs. He challenges the academic medical community to seize the initiative in seeking the difficult-to-find solutions to major issues of medical training or be prepared to yield to the decisions of lawmakers and regulators.

  12. Multimodal medical information retrieval with unsupervised rank fusion.

    PubMed

    Mourão, André; Martins, Flávio; Magalhães, João

    2015-01-01

    Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. However, the ever-growing heterogeneous information generated in medical environments poses several challenges for retrieval systems. We propose a medical information retrieval system with support for multimodal medical case-based retrieval. The system supports medical information discovery by providing multimodal search, through a novel data fusion algorithm, and term suggestions from a medical thesaurus. Our search system compared favorably to other systems in 2013 ImageCLEFMedical.

  13. [Research on medical data mining and its applications].

    PubMed

    Liu, Chanzhen; Wang, Youjun

    2014-10-01

    With the development of computer technology, medical data has developed from traditional paper pattern into electronic mode, which could effectively promote the medical development. This paper at first presents the status and characteristics of medical data mining. Then, it discusses the critical method of medical data mining in classification, clustering and prediction, respectively. The paper focuses on the application and assessment of five algorithms which are designed for medical data mining, including decision tree, cluster analysis, association rule, intelligent algorithm and the mix algorithm. Finally, this paper outlooks the data mining application in medical domain.

  14. Medical Applications

    NASA Astrophysics Data System (ADS)

    Boccara, A. Claude; Mordon, Serge

    2015-10-01

    In re-listening to the lectures of Charles Townes shortly after the invention of the laser (e.g., in the Boston Science Museum), one can already have a realistic vision of the potentialities of this new tool in the field of medical therapy, as evidenced by the use of the laser in ophthalmology to cure retinal detachment in the 1960's. Since then, applications have flourished in the domain of therapy. We will thus illustrate here only some of the main fields of application of medical lasers. On the opposite, the use of lasers in medical imaging is, with one exception in ophthalmology, still at the development level. It is becoming a diagnostic tool in addition to high performance imaging facilities that are often very expensive (such as CT scan, Magnetic Resonance Imaging (MRI) and nuclear imaging). Even if progress is sometimes slow, one can now image with light inside the human body, in spite of the strong scattering of light by tissues, in the same way as a pathologist sees surgical specimens.

  15. Recognizing tacit knowledge in medical epistemology.

    PubMed

    Henry, Stephen G

    2006-01-01

    The evidence-based medicine movement advocates basing all medical decisions on certain types of quantitative research data and has stimulated protracted controversy and debate since its inception. Evidence-based medicine presupposes an inaccurate and deficient view of medical knowledge. Michael Polanyi's theory of tacit knowledge both explains this deficiency and suggests remedies for it. Polanyi shows how all explicit human knowledge depends on a wealth of tacit knowledge which accrues from experience and is essential for problem solving. Edmund Pellegrino's classic treatment of clinical judgment is examined, and a Polanyian critique of this position demonstrates that tacit knowledge is necessary for understanding how clinical judgment and medical decisions involve persons. An adequate medical epistemology requires much more qualitative research relevant to the clinical encounter and medical decision making than is currently being done. This research is necessary for preventing an uncritical application of evidence-based medicine by health care managers that erodes good clinical practice. Polanyi's epistemology shows the need for this work and provides the structural core for building an adequate and robust medical epistemology that moves beyond evidence-based medicine.

  16. Decisions and desire.

    PubMed

    Morse, Gardiner

    2006-01-01

    When we make decisions, we're not always in charge. One moment we hotheadedly let our emotions get the better of us; the next, we're paralyzed by uncertainty. Then we'll pull a brilliant decision out of thin air--and wonder how we did it. Though we may have no idea how decision making happens, neuroscientists peering deep into our brains are beginning to get the picture. What they're finding may not be what you want to hear, but it's worth listening. We have dog brains, basically, with human cortexes stuck on top. By watching the brain in action as it deliberates and decides, neuroscientists are finding that not a second goes by that our animal brains aren't conferring with our modern cortexes to influence their choices. Scientists have discovered, for example, that the "reward" circuits in the brain that activate in response to cocaine, chocolate, sex, and music also find pleasure in the mere anticipation of making money--or getting revenge. And the "aversion" circuits that react to the threat of physical pain also respond with disgust when we feel cheated by a partner. In this article, HBR senior editor Gardiner Morse describes the experiments that illuminate the aggressive participation of our emotion-driven animal brains in decision making. This research also shows that our emotional brains needn't always operate beneath our radar. While our dog brains sometimes hijack our higher cognitive functions to drive bad, or at least illogical, decisions, they play an important part in rational decision making as well. The more we understand about how we make decisions, the better we can manage them.

  17. Medical revolution in Argentina.

    PubMed

    Ballarin, V L; Isoardi, R A

    2010-01-01

    The paper discusses the major Argentineans contributors, medical physicists and scientists, in medical imaging and the development of medical imaging in Argentina. The following are presented: history of medical imaging in Argentina: the pioneers; medical imaging and medical revolution; nuclear medicine imaging; ultrasound imaging; and mathematics, physics, and electronics in medical image research: a multidisciplinary endeavor.

  18. Surrogate decision making: reconciling ethical theory and clinical practice.

    PubMed

    Berger, Jeffrey T; DeRenzo, Evan G; Schwartz, Jack

    2008-07-01

    The care of adult patients without decision-making abilities is a routine part of medical practice. Decisions for these patients are typically made by surrogates according to a process governed by a hierarchy of 3 distinct decision-making standards: patients' known wishes, substituted judgments, and best interests. Although this framework offers some guidance, it does not readily incorporate many important considerations of patients and families and does not account for the ways in which many patients and surrogates prefer to make decisions. In this article, the authors review the research on surrogate decision making, compare it with normative standards, and offer ways in which the 2 can be reconciled for the patient's benefit.

  19. Nurses' ethical decision-making role in artificial nutritional support.

    PubMed

    Tsaloglidou, A; Rammos, K; Kiriklidis, K; Zourladani, A; Matziari, C

    This study provides an insight into the process of ethical decision-making regarding the initiation or withdrawal of artificial nutritional support of seriously ill patients and explores the nursing involvement in it. Fifteen health carers were recruited from a clinical nutrition unit in the UK and qualitative research methods were used to gather data. The findings of the study indicate that nursing contribution to decision-making appeared to be in the 'back room' as the nurses feel that the decisions about difficult ethical dilemmas are 'out of their hands' because of lack of knowledge, experience and confidence. The medical staff and the clinical nurse specialist appear to be primarily responsible for making important decisions. It is clear from the study that to become more effective in the process, nurses need to enhance their knowledge in nutritional support and to develop their practical skills in ethical decision-making through experience and research.

  20. [The continuous intrusion of subjectivity in medical decisions].

    PubMed

    Lifshitz, Alberto

    2016-01-01

    La medicina contemporánea tiene su sustento más sólido en la ciencia positivista que pretende excluir la subjetividad y centrarse en el conocimiento sólido, objetivo, duro, demostrable, reproducible, verificable y falseable. Este enfoque ha generado beneficios indudables en tanto que en las decisiones se eluden muchas ideas que dominaron el pensamiento médico como la magia, el prejuicio, la casualidad, las fuerzas sobrenaturales, los dogmas y las creencias.

  1. Living Wills and Advance Directives for Medical Decisions

    MedlinePlus

    ... the Conversation Project and the Center for Practical Bioethics. You should address a number of possible end- ... Making your healthcare wishes known. Center for Practical Bioethics. http://www.practicalbioethics.org/resources/caring-conversations. Accessed ...

  2. Does narrative information bias individual's decision making? A systematic review.

    PubMed

    Winterbottom, Anna; Bekker, Hilary L; Conner, Mark; Mooney, Andrew

    2008-12-01

    Including narratives in health-care interventions is increasingly popular. However, narrative information may bias individual's decision making, resulting in patients making poorer decisions. This systematic review synthesises the evidence about the persuasiveness of narrative information on individuals' decision making. Seventeen studies met the review criteria; 41% of studies employed first person narration, 59% third person. Narrative information influenced decision making more than the provision of no additional information and/or statistically based information in approximately a third of the studies (5/17); studies employing first person narratives were twice as likely to find an effect. There was some evidence that narrative information encouraged the use of heuristic rather than systematic processing. However, there was little consistency in the methods employed and the narratives' content to provide evidence on why narratives affect the decision process and outcome, whether narratives facilitate or bias decision making, and/or whether narratives affect the quality of the decision being made. Until evidence is provided on why and how narratives influence decision making, the use of narratives in interventions to facilitate medical decision making should be treated cautiously.

  3. Managerial implications of calculating optimum nurse staffing in medical units.

    PubMed

    Bordoloi, S K; Weatherby, E J

    1999-01-01

    A critical managerial decision in health care organizations is the staffing decision. We offer a model to derive an optimum mix of different staff categories that minimizes total cost subject to constraints imposed by the patient acuity system and minimum staffing policies in a medical unit of Fairbanks Memorial Hospital, Alaska. We also indicate several managerial implications on how our results and their sensitivity analyses can be used effectively in decision making in a variety of categories.

  4. Lazy decision trees

    SciTech Connect

    Friedman, J.H.; Yun, Yeogirl; Kohavi, R.

    1996-12-31

    Lazy learning algorithms, exemplified by nearest-neighbor algorithms, do not induce a concise hypothesis from a given training set; the inductive process is delayed until a test instance is given. Algorithms for constructing decision trees, such as C4.5, ID3, and CART create a single {open_quotes}best{close_quotes} decision tree during the training phase, and this tree is then used to classify test instances. The tests at the nodes of the constructed tree are good on average, but there may be better tests for classifying a specific instance. We propose a lazy decision tree algorithm-LazyDT-that conceptually constructs the {open_quotes}best{close_quote} decision tree for each test instance. In practice, only a path needs to be constructed, and a caching scheme makes the algorithm fast. The algorithm is robust with respect to missing values without resorting to the complicated methods usually seen in induction of decision trees. Experiments on real and artificial problems are presented.

  5. Medical History: Compiling Your Medical Family Tree

    MedlinePlus

    ... family medical history, sometimes called a medical family tree, is a record of illnesses and medical conditions ... to consult family documents, such as existing family trees, baby books, old letters, obituaries or records from ...

  6. Dialogic Consensus In Clinical Decision-Making.

    PubMed

    Walker, Paul; Lovat, Terry

    2016-12-01

    This paper is predicated on the understanding that clinical encounters between clinicians and patients should be seen primarily as inter-relations among persons and, as such, are necessarily moral encounters. It aims to relocate the discussion to be had in challenging medical decision-making situations, including, for example, as the end of life comes into view, onto a more robust moral philosophical footing than is currently commonplace. In our contemporary era, those making moral decisions must be cognizant of the existence of perspectives other than their own, and be attuned to the demands of inter-subjectivity. Applicable to clinical practice, we propose and justify a Habermasian approach as one useful means of achieving what can be described as dialogic consensus. The Habermasian approach builds around, first, his discourse theory of morality as universalizable to all and, second, communicative action as a cooperative search for truth. It is a concrete way to ground the discourse which must be held in complex medical decision-making situations, in its actual reality. Considerations about the theoretical underpinnings of the application of dialogic consensus to clinical practice, and potential difficulties, are explored.

  7. Trait-related decision making impairment in obsessive-compulsive disorder: evidence from decision making under ambiguity but not decision making under risk

    PubMed Central

    Zhang, Long; Dong, Yi; Ji, Yifu; Tao, Rui; Chen, Xuequan; Ye, Jianguo; Zhang, Lei; Yu, Fengqiong; Zhu, Chunyan; Wang, Kai

    2015-01-01

    This study aimed to investigate whether deficits in decision making were potential endophenotype markers for OCD considering different phases of the disease. Fifty-seven non-medicated OCD patients (nmOCD), 77 medicated OCD patients (mOCD), 48 remitted patients with OCD (rOCD) and 115 healthy controls were assessed with the Iowa Gambling Task (IGT), which measured decision making under ambiguity, and the Game of Dice Task (GDT), which measured decision making under risk. While the three patients groups showed impaired performance on the IGT compared with healthy controls, all patients showed intact performance on the GDT. Furthermore, the rOCD patients showed a preference for deck B, indicating that they showed more sensitivity to the frequency of loss than to the magnitude of loss, whereas the mOCD patients showed a preference for deck A, indicating that they had more sensitivity to the magnitude of loss than to the frequency of loss. These data suggested that OCD patients had trait-related impairments in decision making under ambiguity but not under risk, and that dissociation of decision making under ambiguity and under risk is an appropriate potential neurocognitive endophenotype for OCD. The subtle but meaningful differences in decision making performance between the OCD groups require further study. PMID:26601899

  8. Medical electromechatronics

    NASA Astrophysics Data System (ADS)

    Osipov, Y. M.; Syryamkin, V. I.; Osipov, O. Y.

    2015-11-01

    The first part of the article presentsdevices of rehabilitation electromechatronics.As a research work, the author's team has performed sketch and technical developments on this subject, which are protected by patents of the Russian Federation. The second part providesan overview of medical robotic surgery, which is ideal for imperfections removing.It also describes capabilities of the author's team in development of active driveline based "iron" hands.Scalpels never tremble in the iron hands, which are not afraid of the aftershocks and never get tired.They can perform operations during not less than 48 consecutive hours.

  9. Medical clip

    NASA Technical Reports Server (NTRS)

    Baucom, R. M. (Inventor)

    1983-01-01

    An X-ray transparent and biological inert medical clip for treating aneurisms and the like is described. A graphite reinforced composite film is molded into a unitary structure having a pair of hourglass-like cavities hinged together with a pair of jaws for grasping the aneurism extending from the wall of one cavity. A silicone rubber pellet is disposed in the other cavity to exert a spring force through the hinge area to normally bias the jaws into contact with each other.

  10. Communicating Medical Needs to Non-Medical Managers

    NASA Technical Reports Server (NTRS)

    Bacal, Kira; Miller, Robert; Doerr, Harold

    2004-01-01

    Differences in communication styles and languages between groups often lead to miscommunication, confusion, and/or frustration. Engineers, computer specialists, clinicians, and managers often utilize the English language in very different ways, with different groups using the same words to represent different concepts ("complaint" is a typical example). In addition, medical issues are often perceived as "off-nominal" and not "primary mission tasks" by managers, which can cause them to assign lower priorities to medical training time and resources. Knowledge bases differ due to variations in training and skill sets, and the goals (both immediate and long-term) of the communicators may also vary, with managers being primarily concerned with overall mission objectives, while clinicians focus on individual or group health issues. Furthermore, true communication is only possible when clinicians possess a deep understanding of mission requirements as well as the ability to communicate medical requirements on a priority basis using risk assessment, added value, and cost benefit analysis. These understandable differences may contribute to difficulties in expressing concerns and ideas in an efficient manner, particularly in projects, such as the space program or many military operations, where these varied groups must collaborate, and where the final decisions must be made by fully informed mission commanders. Methods: Three scenario-based approaches were developed utilizing decision trees and problem based learning, to help define and integrate these concepts. Results: Use of these techniques by NASA and military personnel will be presented. Discussion: To enhance communication, particularly of medical needs, one must identify the concerns and motivating factors for the other groups; for example, members of management may focus on financial concerns, a desire for risk mitigation, public perceptions, mission objectives, etc. Training clinicians to frame issues in these

  11. Medical school entrance and career plans of Malaysian medical students.

    PubMed

    Razali, S M

    1996-11-01

    This study investigates the reasons for entry to medicine and the career perspectives of phase III medical students of the Universiti Sains Malaysia (USM). The majority of the students were Malays from low socio-economic backgrounds who entered medical school after completing a 2-year matriculation course. An interest in medicine and helping people were the two main stated reasons for entry to medical school. A group of students wishing to work in private practice was identified. In comparison to the rest of the study body, students in the group were: not well prepared to enter medical school; dissatisfied with the course; and subject to family influences. A desire for monetary gain motivated their choice of medicine as a career. Overall, 13% of the students wished to change career because they were dissatisfied with their experience of medicine as undergraduates. The study did not find a significant difference in career intentions between female and male medical students. However, women were less likely to seek entrance into private practice or pursue formal postgraduate education. The choice of surgery as a career was confined to men. About 90% of the students had already decided on their future specialty. Four well-established specialties were their most popular choices. The gender of the students had no significant influences of the decision to continue into postgraduate education. The proportion of female students who wished to marry doctors was significantly higher than for male students.

  12. Robust Decision Making

    SciTech Connect

    Christopher A. Dieckmann, PE, CSEP-Acq

    2010-07-01

    The Idaho National Laboratory (INL) is funded through the Department of Energy (DOE) Office of Nuclear Energy and other customers who have direct contracts with the Laboratory. The people, equipment, facilities and other infrastructure at the laboratory require continual investment to maintain and improve the laboratory’s capabilities. With ever tightening federal and customer budgets, the ability to direct investments into the people, equipment, facilities and other infrastructure which are most closely aligned with the laboratory’s mission and customers’ goals grows increasingly more important. The ability to justify those investment decisions based on objective criteria that can withstand political, managerial and technical criticism also becomes increasingly more important. The Systems Engineering tools of decision analysis, risk management and roadmapping, when properly applied to such problems, can provide defensible decisions.

  13. Analysis of the Medical Assisting Occupation.

    ERIC Educational Resources Information Center

    Keir, Lucille; And Others

    The occupational analysis contains a brief job description, presenting for the occupation of medical assistant 113 detailed task statements which specify job duties (tools, equipment, materials, objects acted upon, performance knowledge, safety consideration/hazards, decisions, cues, and errors) and learning skills (science, mathematics/number…

  14. Being skeptical about the medical humanities.

    PubMed

    Rogers, Joanna

    1995-01-01

    In this paper the author challenges the prevailing view that contemporary writing in the medical humanities is serving the needs of the various health care disciplines. The current medical humanities literature assumes that physicians are the appropriate target group. This is most notably the case within health care ethics literature. There appears to be an unexamined assumption that physician-centric approaches to clinical ethical decision-making are the standard by which appropriate ethical practice is judged. The author challenges this assumption and addresses the problems that this approach engenders. The medical humanities literature appears to reinforce hierarchical, patriarchal arrangements which are themselves not morally neutral.

  15. Medical robotics.

    PubMed

    Ferrigno, Giancarlo; Baroni, Guido; Casolo, Federico; De Momi, Elena; Gini, Giuseppina; Matteucci, Matteo; Pedrocchi, Alessandra

    2011-01-01

    Information and communication technology (ICT) and mechatronics play a basic role in medical robotics and computer-aided therapy. In the last three decades, in fact, ICT technology has strongly entered the health-care field, bringing in new techniques to support therapy and rehabilitation. In this frame, medical robotics is an expansion of the service and professional robotics as well as other technologies, as surgical navigation has been introduced especially in minimally invasive surgery. Localization systems also provide treatments in radiotherapy and radiosurgery with high precision. Virtual or augmented reality plays a role for both surgical training and planning and for safe rehabilitation in the first stage of the recovery from neurological diseases. Also, in the chronic phase of motor diseases, robotics helps with special assistive devices and prostheses. Although, in the past, the actual need and advantage of navigation, localization, and robotics in surgery and therapy has been in doubt, today, the availability of better hardware (e.g., microrobots) and more sophisticated algorithms(e.g., machine learning and other cognitive approaches)has largely increased the field of applications of these technologies,making it more likely that, in the near future, their presence will be dramatically increased, taking advantage of the generational change of the end users and the increasing request of quality in health-care delivery and management.

  16. Guardianship and End-of-Life Decision Making

    PubMed Central

    Cohen, Andrew B.; Wright, Megan S.; Cooney, Leo; Fried, Terri

    2015-01-01

    As the population ages, more adults will develop impaired decision-making capacity and have no family members or friends available to make medical decisions on their behalf. In such situations, a professional guardian is often appointed by the court. This is an official who has no pre-existing relationship with the impaired individual but is paid to serve as a surrogate decision-maker. When a professional guardian is faced with decisions concerning life-sustaining treatment, substituted judgment may be impossible, and reports have repeatedly suggested that guardians are reluctant to make the decision to limit care. Clinicians are well positioned to assist guardians with these decisions and safeguard the rights of the vulnerable persons they represent. Doing so effectively requires knowledge of the laws governing end-of-life decisions by guardians. Clinicians, however, are often uncertain about whether guardians are empowered to withhold treatment and when their decisions require judicial review. To address this issue, we analyzed state guardianship statutes and reviewed recent legal cases in order to characterize the authority of a guardian over choices about end-of-life treatment. We found that a large majority of state guardianship statutes have no language about end-of-life decisions and identified just five legal cases over the past decade that addressed a guardian’s authority over these decisions, with only one case providing a broad framework applicable to clinical practice. Work to improve end-of-life decision-making by guardians may benefit from a multi-disciplinary effort to develop comprehensive standards that can guide clinicians and guardians when treatment decisions need to be made. PMID:26258634

  17. Medication communication through documentation in medical wards: knowledge and power relations.

    PubMed

    Liu, Wei; Manias, Elizabeth; Gerdtz, Marie

    2014-09-01

    Health professionals communicate with each other about medication information using different forms of documentation. This article explores knowledge and power relations surrounding medication information exchanged through documentation among nurses, doctors and pharmacists. Ethnographic fieldwork was conducted in 2010 in two medical wards of a metropolitan hospital in Australia. Data collection methods included participant observations, field interviews, video-recordings, document retrieval and video reflexive focus groups. A critical discourse analytic framework was used to guide data analysis. The written medication chart was the main means of communicating medication decisions from doctors to nurses as compared to verbal communication. Nurses positioned themselves as auditors of the medication chart and scrutinised medical prescribing to maintain the discourse of patient safety. Pharmacists utilised the discourse of scientific judgement to guide their decision-making on the necessity of verbal communication with nurses and doctors. Targeted interdisciplinary meetings involving nurses, doctors and pharmacists should be organised in ward settings to discuss the importance of having documented medication information conveyed verbally across different disciplines. Health professionals should be encouraged to proactively seek out each other to relay changes in medication regimens and treatment goals.

  18. Ultimate justification: Wittgenstein and medical ethics.

    PubMed Central

    Hughes, J

    1995-01-01

    Decisions must be justified. In medical ethics various grounds are given to justify decisions, but ultimate justification seems illusory and little considered. The philosopher Wittgenstein discusses the problem of ultimate justification in the context of general philosophy. His comments, nevertheless, are pertinent to ethics. From a discussion of Wittgensteinian notions, such as 'bedrock', the idea that 'ultimate' justification is grounded in human nature as such is derived. This discussion is relevant to medical ethics in at least five ways: it shows generally what type of certainty there is in practical ethics; it seems to imply some objective foundation to our ethical judgements; it squares with our experience of making ethical decisions; it shows something of the nature of moral arguments; and, finally, it has implications for teaching medicine and ethics. PMID:7776343

  19. Ultimate justification: Wittgenstein and medical ethics.

    PubMed

    Hughes, J

    1995-02-01

    Decisions must be justified. In medical ethics various grounds are given to justify decisions, but ultimate justification seems illusory and little considered. The philosopher Wittgenstein discusses the problem of ultimate justification in the context of general philosophy. His comments, nevertheless, are pertinent to ethics. From a discussion of Wittgensteinian notions, such as 'bedrock', the idea that 'ultimate' justification is grounded in human nature as such is derived. This discussion is relevant to medical ethics in at least five ways: it shows generally what type of certainty there is in practical ethics; it seems to imply some objective foundation to our ethical judgements; it squares with our experience of making ethical decisions; it shows something of the nature of moral arguments; and, finally, it has implications for teaching medicine and ethics.

  20. Use of Handheld Computers in Medical Education

    PubMed Central

    Kho, Anna; Henderson, Laura E; Dressler, Daniel D; Kripalani, Sunil

    2006-01-01

    BACKGROUND Over the past decade, handheld computers (or personal digital assistants [PDAs]) have become a popular tool among medical trainees and physicians. Few comprehensive reviews of PDA use in medicine have been published. OBJECTIVE We systematically reviewed the literature to (1) describe medical trainees' use of PDAs for education or patient care, (2) catalog popular software applications, and (3) evaluate the impact of PDA use on patient care. DATA SOURCES MEDLINE (1993 to 2004), medical education-related conference proceedings, and hand search of article bibliographies. REVIEW METHODS We identified articles and abstracts that described the use of PDAs in medical education by trainees or educators. Reports presenting a qualitative or quantitative evaluation were included. RESULTS Sixty-seven studies met inclusion criteria. Approximately 60% to 70% of medical students and residents use PDAs for educational purposes or patient care. Satisfaction was generally high and correlated with the level of handheld computer experience. Most of the studies included described PDA use for patient tracking and documentation. By contrast, trainees rated medical textbooks, medication references, and medical calculators as the most useful applications. Only 1 randomized trial with educational outcomes was found, demonstrating improved learning and application of evidence-based medicine with use of PDA-based decision support software. No articles reported the impact of PDA use on patient outcomes. CONCLUSION Most medical trainees find handhelds useful in their medical education and patient care. Further studies are needed to evaluate how PDAs impact learning and clinical outcomes. PMID:16704405

  1. Understanding Australian families' organ donation decisions.

    PubMed

    Neate, S L; Marck, C H; Skinner, M; Dwyer, B; McGain, F; Weiland, T J; Hickey, B B; Jelinek, G A

    2015-01-01

    Numbers of deceased organ donors in Australia have increased, but rates of consent to donation remain at around 60%. Increasing family consent is a key target for the Australian Organ and Tissue Authority. Reasons for donation decisions have been reported in the international literature, but little is known of reasons for Australian families' decisions. Potential organ donors in four Melbourne hospitals were identified and 49 participants from 40 families (23 consenting and 17 non-consenting) were interviewed to understand reasons for consent decisions. Themes for consent to organ donation included that: donation was consistent with the deceased's explicit wishes or known values, the desire to help others or self-including themes of altruism, pragmatism, preventing others from being in the same position, consolation received from donation and aspects of the donation conversation and care that led families to believe donation was right for them. Themes for non-consent included: lack of knowledge of wishes; social, cultural and religious beliefs; factors related to the donation process and family exhaustion; and conversation factors where negative events influenced decisions. While reasons for consent were similar to those described in international literature, reasons for non-consent differed in that there was little emphasis on lack of trust of the medical profession, concerns regarding level of care provided to the potential donor, preserving the deceased's body, fears of body invasion or organ allocation fairness.

  2. The functions of medical care.

    PubMed Central

    Childs, A W

    1975-01-01

    Medical care has several important functions other than restoring or maintaining health. These other functions are assessment and certification of health status, prognostication, segregation of the ill to limit communication of illness, and helping to cope with the problems of illness--the caring function. Medical care serving these "paracurative" functions may legitimately be given indepedently, without associated curing or preventive intent of the provider of care. Although such services do not result in benefits to health, such as extension of life or reduction of disability, they do have other valued outcomes, outcomes not measurable as a gain in personal health status. For example, caring activities may result in satisfaction, comfort, or desirable affective states, even while the patient's health status deteriorates during an incurable illness. The physician's approach to patients, the economist's analysis of the benefits of health services, the planner's decisions about health programs, the evaluator's judgments about the quality of care, or the patient's expectations about treatment are strongly influenced by his assumptions about the purpose of medical care or the proper outcome of the process. When the health worker assumes that the only useful outcome is health, he may consider the paracurative services to be ineffective, inefficient, or undesirable. In contrast, when he recognizes and understands the paracurative functions of medical care, he may better perform his function in the medical care system. PMID:803689

  3. Medical alert bracelet (image)

    MedlinePlus

    People with diabetes should always wear a medical alert bracelet or necklace that emergency medical workers will ... People with diabetes should always wear a medical alert bracelet or necklace that emergency medical workers will ...

  4. Medical Misuse of Controlled Medications Among Adolescents

    PubMed Central

    McCabe, Sean Esteban; West, Brady T.; Cranford, James A.; Ross-Durow, Paula; Young, Amy; Teter, Christian J.; Boyd, Carol J.

    2011-01-01

    Objectives To determine the past-year medical misuse prevalence for 4 controlled medication classes (pain, stimulant, sleeping, and antianxiety) among adolescents, and to assess substance use outcomes among adolescents who report medical misuse. Design A Web-based survey was self-administered by 2744 secondary school students in 2009-2010. Setting Two southeastern Michigan school districts. Participants The sample had a mean age of 14.8 years and was 51.1% female. The racial/ethnic distribution was 65.0% white, 29.5% African American, 3.7% Asian, 1.3% Hispanic, and 0.5% other. Main Outcome Measures Past-year medical use and misuse of 4 controlled medication classes. Results Eighteen percent of the sample reported past-year medical use of at least 1 prescribed controlled medication. Among past-year medical users, 22.0% reported misuse of their controlled medications, including taking too much, intentionally getting high, or using to increase alcohol or other drug effects. Medical misusers were more likely than nonmisusers to divert their controlled medications and to abuse other substances. The odds of a positive screening result for drug abuse were substantially higher among medical misusers (adjusted odds ratio, 7.8; 95% confidence interval, 4.3-14.2) compared with medical users who used their controlled medications appropriately. The odds of drug abuse did not differ between medical users who used their controlled medications appropriately and nonusers. Conclusions Most adolescents who used controlled medications took their medications appropriately. Substance use and diversion of controlled medications were more prevalent among adolescents who misused their controlled medications. Careful therapeutic monitoring could reduce medical misuse and diversion of controlled medications among adolescents. PMID:21810634

  5. The impact of decision aids to enhance shared decision making for diabetes (the DAD study): protocol of a cluster randomized trial

    PubMed Central

    2012-01-01

    Background Shared decision making contributes to high quality healthcare by promoting a patient-centered approach. Patient involvement in selecting the components of a diabetes medication program that best match the patient’s values and preferences may also enhance medication adherence and improve outcomes. Decision aids are tools designed to involve patients in shared decision making, but their adoption in practice has been limited. In this study, we propose to obtain a preliminary estimate of the impact of patient decision aids vs. usual care on measures of patient involvement in decision making, diabetes care processes, medication adherence, glycemic and cardiovascular risk factor control, and resource utilization. In addition, we propose to identify, describe, and explain factors that promote or inhibit the routine embedding of decision aids in practice. Methods/Design We will be conducting a mixed-methods study comprised of a cluster-randomized, practical, multicentered trial enrolling clinicians and their patients (n = 240) with type 2 diabetes from rural and suburban primary care practices (n = 8), with an embedded qualitative study to examine factors that influence the incorporation of decision aids into routine practice. The intervention will consist of the use of a decision aid (Statin Choice and Aspirin Choice, or Diabetes Medication Choice) during the clinical encounter. The qualitative study will include analysis of video recordings of clinical encounters and in-depth, semi-structured interviews with participating patients, clinicians, and clinic support staff, in both trial arms. Discussion Upon completion of this trial, we will have new knowledge about the effectiveness of diabetes decision aids in these practices. We will also better understand the factors that promote or inhibit the successful implementation and normalization of medication choice decision aids in the care of chronic patients in primary care practices. Trial registration

  6. Dying cancer patients talk about physician and patient roles in DNR decision making

    PubMed Central

    Eliott, Jaklin A.; Olver, Ian

    2011-01-01

    Abstract Background  Within medical and bioethical discourse, there are many models depicting the relationships between, and roles of, physician and patient in medical decision making. Contestation similarly exists over the roles of physician and patient with regard to the decision not to provide cardiopulmonary resuscitation (CPR) following cardiac arrest [the do‐not‐resuscitate or do‐not‐resuscitate (DNR) decision], but there is little analysis of patient perspectives. Objective  Analyse what patients with cancer within weeks before dying say about the decision to forego CPR and the roles of patient and physician in this decision. Design and participants  Discursive analysis of qualitative data gathered during semi‐structured interviews with 28 adult cancer patients close to death and attending palliative or oncology clinics of an Australian teaching hospital. Results  Participants’ descriptions of appropriate patient or physician roles in decisions about CPR appeared related to how they conceptualized the decision: as a personal or a medical issue, with patient and doctor respectively identified as appropriate decision makers; or alternatively, both medical and personal, with various roles assigned embodying different versions of a shared decision‐making process. Participants’ endorsement of physicians as decision makers rested upon physicians’ enactment of the rational, knowledgeable and compassionate expert, which legitimized entrusting them to make the DNR decision. Where this was called into question, physicians were positioned as inappropriate decision makers. Conclusion  When patients’ and physicians’ understandings of the best decision, or of the preferred role of either party, diverge, conflict may ensue. In order to elicit and negotiate with patient preferences, flexibility is required during clinical interactions about decision making. PMID:20860782

  7. Decision support for patient care: implementing cybernetics.

    PubMed

    Ozbolt, Judy; Ozdas, Asli; Waitman, Lemuel R; Smith, Janis B; Brennan, Grace V; Miller, Randolph A

    2004-01-01

    The application of principles and methods of cybernetics permits clinicians and managers to use feedback about care effectiveness and resource expenditure to improve quality and to control costs. Keys to the process are the specification of therapeutic goals and the creation of an organizational culture that supports the use of feedback to improve care. Daily feedback on the achievement of each patient's therapeutic goals provides tactical decision support, enabling clinicians to adjust care as needed. Monthly or quarterly feedback on aggregated goal achievement for all patients on a clinical pathway provides strategic decision support, enabling clinicians and managers to identify problems with supposed "best practices" and to test hypotheses about solutions. Work is underway at Vanderbilt University Medical Center to implement feedback loops in care and management processes and to evaluate the effects.

  8. Marketing norm perception among medical representatives in Indian pharmaceutical industry.

    PubMed

    Nagashekhara, Molugulu; Agil, Syed Omar Syed; Ramasamy, Ravindran

    2012-03-01

    Study of marketing norm perception among medical representatives is an under-portrayed component that deserves further perusal in the pharmaceutical industry. The purpose of this study is to find out the perception of marketing norms among medical representatives. The research design is quantitative and cross sectional study with medical representatives as unit of analysis. Data is collected from medical representatives (n=300) using a simple random and cluster sampling using a structured questionnaire. Results indicate that there is no difference in the perception of marketing norms among male and female medical representatives. But there is a difference in opinion among domestic and multinational company's medical representatives. Educational back ground of medical representatives also shows the difference in opinion among medical representatives. Degree holders and multinational company medical representatives have high perception of marketing norms compare to their counterparts. The researchers strongly believe that mandatory training on marketing norms is beneficial in decision making process during the dilemmas in the sales field.

  9. Greenhouse Gas Court Decision

    EPA Pesticide Factsheets

    View the June 26, 2012, U.S. Court of Appeals- D.C. Circuit's decision to uphold EPA's Endangerment Finding and greenhouse gas regulations issued under the Clean Air Act (CAA) for passenger vehicles and CAA permitting for stationary sources.

  10. Decision by Sampling

    ERIC Educational Resources Information Center

    Stewart, Neil; Chater, Nick; Brown, Gordon D. A.

    2006-01-01

    We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute's subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We…

  11. Decision Making In Orienteering.

    ERIC Educational Resources Information Center

    Almeida, Katia

    1997-01-01

    Eight psychometric instruments were administered to 10 elite male Portuguese orienteers. The cognitive process involved in decision making did not differ between the best orienteers and the others. This group of athletes had a high capacity for work realization and a strong need to be in control of interpersonal situations. (Author/SV)

  12. The Pierce Decision.

    ERIC Educational Resources Information Center

    U. S. Supreme Court

    2000-01-01

    Presents the U. S. Supreme Court decision in the 1925 case of Pierce, Governor of Oregon, et al. v. Society of Sisters of the Holy Names of Jesus and Mary. v. Hill Military Academy. Decrees that the state law requiring parents to enroll students between the ages of 8 and 16 in a public school is unconstitutional. (VWC)

  13. A Personal Decision.

    ERIC Educational Resources Information Center

    Grace, Judy Diane

    1989-01-01

    Three dissertations are discussed: "An Analysis of the Institutional Image of a Private University ..." (James William Klenke); "Factors that Affect a Student's Decision to Enroll at Francis Marion College" (Joseph Edward Heyward); and "An Analysis of College Choice Influence ....Freshmen at a Large Southeastern Urban…

  14. Decisions Based on Science.

    ERIC Educational Resources Information Center

    Campbell, Vincent; Lofstrom, Jocelyn; Jerome, Brian

    This guide makes the case for a decision-making focus in the science curriculum as a response to concern over preparing scientifically literate students. The student activities are organized by guided activities and independent exercises. Themes of the guided activities include xenotransplants, immunizations, household cleaning products, ozone,…

  15. Macrocircuits: Decision Networks

    PubMed Central

    Schall, Jeffrey D.

    2012-01-01

    Decision-making requires stimulus categorization and localization to guide accurate responses that can be produced through multiple effectors. The success of actions is monitored so that performance can be adjusted to achieve goals. This review will survey recent empirical and theoretical developments very selectively with an emphasis on neurophysiological data from nonhuman primates that provide the clearest information about neural mechanisms. PMID:23246279

  16. Decisions Concerning Directional Dependence

    ERIC Educational Resources Information Center

    von Eye, Alexander; DeShon, Richard P.

    2012-01-01

    In this rejoinder, von Eye and DeShon discuss the decision strategies proposed in their original article ("Directional Dependence in Developmental Research," this issue), as well as the ones proposed by the authors of the commentary (Pornprasertmanit and Little, "Determining Directional Dependency in Causal Associations," this issue). In addition,…

  17. Explicating Individual Training Decisions

    ERIC Educational Resources Information Center

    Walter, Marcel; Mueller, Normann

    2015-01-01

    In this paper, we explicate individual training decisions. For this purpose, we propose a framework based on instrumentality theory, a psychological theory of motivation that has frequently been applied to individual occupational behavior. To test this framework, we employ novel German individual data and estimate the effect of subjective expected…

  18. Making Smart Building Decisions.

    ERIC Educational Resources Information Center

    Coburn, Janet

    1999-01-01

    Discusses how a positive partnership with the architect can help one who is inexperienced in building design and construction make smart building decisions. Tips address how to prevent change orders, what red flags to look for in a building project, what the administrator should expect from the architect to make the project run smoothly, and what…

  19. Great Decisions '86.

    ERIC Educational Resources Information Center

    Hoepli, Nancy L., Ed.

    Designed to initiate discussion of foreign policy decisions, this book contains an analysis of eight foreign policy issues confronting the United States in 1986. Each unit provides the background and guidelines to provide perspective to assist in understanding foreign policy crises. The units included in this issue are: (1) "How Foreign Policy Is…

  20. Matriarchal Decision-Making.

    ERIC Educational Resources Information Center

    Warner, Linda Sue

    In contrast to European cultures, many American Indian societies have been matriarchal. Indian women have had a great deal of power, both as individuals and as groups, and have held various leadership roles within their tribes. Traditionally, Indian women have worked in partnership with men, and decision-making has been related to consensus…

  1. Decision Making Under Uncertainty

    DTIC Science & Technology

    2010-11-01

    decision maker’s beliefs must be known to him- self (De Finetti 1974). However, objective probabilities (i.e., frequencies) - those known from observations...CA: Duxbury Press, 664. De Finetti , B. 1974. Theory of probability. New York: Wiley. Dempster, A.P. 1968. A generalization of Bayesian inference

  2. Shared Decision Making.

    ERIC Educational Resources Information Center

    Lashway, Larry

    1997-01-01

    In shared decision making (SDM), principals collaborate with teachers and sometimes parents to take actions aimed at improving instruction and school climate. While research on SDM outcomes is still inconclusive, the literature shows that SDM brings both benefits and problems, and that the principal is a key figure. This brief offers a sampling of…

  3. Decision making in neonatologia.

    PubMed

    Paterlini, G; Tagliabue, P

    2010-06-01

    The field of neonatology presents a fascinating context in which hugely important decisions have to be made on the basis of physicians' assessments of the long term consequences of various possible choices. In many cases such assessments cannot be derived from a consensual professional opinion; the situation is characterized by a high level of uncertainty. A sample of neonatologists in different countries received a questionnaire including vignette cases for which no clear consensus exists regarding the (probabilistic) prognosis. They were asked to (I) assess the probability of various outcomes (death, severe impairment) and (II) choose a treatment to be offered to the parents. Information on the physicians' professional and socio-demographic characteristics and their ethical "values" was also collected. The goal of this international survey is to understand the prognosis and to analyze decision making by professionals in the context of life and death in medicine. The availability of an identical technology in different social and institutional contexts should help identifying the convergences and differences under consideration. Seventy percent of those invited responded to the questionnaire (International 60-80%). Italian neonatologists seem to be quite pessimistic about the prognosis of infants at high risk of death or long term disabilities, they show a pro-life attitude, but in a certain proportion are willing to change their minds if requested by parents. Furthermore personal opinions predominate in the decision-making process and the contribution of team meeting and/or ethic consultation seem not significantly modify the decisions.

  4. [MEDICAL CANNABIS].

    PubMed

    Naftali, Timna

    2016-02-01

    The cannabis plant has been known to humanity for centuries as a remedy for pain, diarrhea and inflammation. Current research is inspecting the use of cannabis for many diseases, including multiple sclerosis, epilepsy, dystonia, and chronic pain. In inflammatory conditions cannabinoids improve pain in rheumatoid arthritis and:pain and diarrhea in Crohn's disease. Despite their therapeutic potential, cannabinoids are not free of side effects including psychosis, anxiety, paranoia, dependence and abuse. Controlled clinical studies investigating the therapeutic potential of cannabis are few and small, whereas pressure for expanding cannabis use is increasing. Currently, as long as cannabis is classified as an illicit drug and until further controlled studies are performed, the use of medical cannabis should be limited to patients who failed conventional better established treatment.

  5. The Dialysis Exercise: A Clinical Simulation for Preclinical Medical Students.

    ERIC Educational Resources Information Center

    And Others; Bernstein, Richard A.

    1980-01-01

    A clinical decision-making simulation that helps students understand the relationship between psychosocial factors and medical problem-solving is described. A group of medical students and one faculty member comprise a selection committee to agree on the order in which four patients will be selected for renal dialysis. (MLW)

  6. Medical Liability in the Light of New Hungarian Civil Code

    ERIC Educational Resources Information Center

    Barzó, Tímea

    2015-01-01

    The number of medical malpractice lawsuits filed each year in Hungary has considerably increased since the change of regime. The judicial decisions and practices on determining and awarding wrongful damages recoverable for medical malpractices in the Hungarian civil law have been developing for decades.

  7. Developing Evidence-Based Care Standards and a Decision-Making Support System for Pain Management.

    PubMed

    Feng, Rung-Chuang; Chang, Polun

    2016-01-01

    Pain is a crucial sign and symptom in hospitalised patients. This paper describes how a medical centre created a knowledge-based, computerised pain management decision-making process to support nurses in personalising preventive interventions based on patient requirements.

  8. 49 CFR 40.141 - How does the MRO obtain information for the verification decision?

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ..., you must do the following as you make the determinations needed for a verification decision: (a) You... metabolite in his or her specimen results from taking prescription medication, you must review and take...

  9. 49 CFR 40.141 - How does the MRO obtain information for the verification decision?

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ..., you must do the following as you make the determinations needed for a verification decision: (a) You... metabolite in his or her specimen results from taking prescription medication, you must review and take...

  10. Clinical judgement and the medical profession

    PubMed Central

    Kienle, Gunver S; Kiene, Helmut

    2011-01-01

    Objectives Clinical judgment is a central element of the medical profession, essential for the performance of the doctor, and potentially generating information also for other clinicians and for scientists and health care managers. The recently renewed interest in clinical judgement is primarily engaged with its role in communication, diagnosis and decision making. Beyond this issue, the present article highlights the interrelations between clinical judgement, therapy assessment and medical professionalism. Methods Literature review and theory development. Results The article presents different methodological approaches to causality assessment in clinical studies and in clinical judgement, and offers criteria for clinical single case causality. The article outlines models of medical professionalism such as technical rationality and practice epistemology, and characterizes features of professional expertise such as tacit knowledge, reflection in action, and gestalt cognition. Conclusions Consequences of a methodological and logistical advancement of clinical judgment are discussed, both in regard to medical progress and to the renewel of the cognitive basis of the medical profession. PMID:20973873

  11. Medical results of the Skylab program

    NASA Technical Reports Server (NTRS)

    Johnston, R. S.; Dietlein, L. F.

    1974-01-01

    The Skylab food system, waste management system, operational bioinstrumentation, personal hygiene provisions, in-flight medical support system, and the cardiovascular counterpressure garment worn during reentry are described. The medical experiments program provided scientific data and also served as the basis for real-time decisions on flight duration. Premission support, in-flight operational support, and postflight medical activities are surveyed. Measures devised to deal with possible food spoilage, medical instrument damage, and toxic atmosphere caused by the initial failures on the Orbital Workshop (OWS) are discussed. The major medical experiments performed in flight allowed the study of physiological changes as a function of exposure to weightless flight. The experiments included studies of the cardiovascular system, musculoskeletal and fluid/electrolyte balance, sleep, blood, vestibular system, and time and motion studies.

  12. Current perspectives in medical image perception

    PubMed Central

    Krupinski, Elizabeth A.

    2013-01-01

    Medical images constitute a core portion of the information a physician utilizes to render diagnostic and treatment decisions. At a fundamental level, this diagnostic process involves two basic processes: visually inspecting the image (visual perception) and rendering an interpretation (cognition). The likelihood of error in the interpretation of medical images is, unfortunately, not negligible. Errors do occur, and patients’ lives are impacted, underscoring our need to understand how physicians interact with the information in an image during the interpretation process. With improved understanding, we can develop ways to further improve decision making and, thus, to improve patient care. The science of medical image perception is dedicated to understanding and improving the clinical interpretation process. PMID:20601701

  13. Evaluating Academic Journals without Impact Factors for Collection Management Decisions.

    ERIC Educational Resources Information Center

    Dilevko, Juris; Atkinson, Esther

    2002-01-01

    Discussion of evaluating academic journals for collection management decisions focuses on a methodological framework for evaluating journals not ranked by impact factors in Journal Citation Reports. Compares nonranked journals with ranked journals and then applies this framework to a case study in the field of medical science. (LRW)

  14. 42 CFR 456.237 - Notification of adverse decision.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 42 Public Health 4 2011-10-01 2011-10-01 false Notification of adverse decision. 456.237 Section 456.237 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS UTILIZATION CONTROL Utilization Control: Mental...

  15. 42 CFR 456.237 - Notification of adverse decision.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 42 Public Health 4 2010-10-01 2010-10-01 false Notification of adverse decision. 456.237 Section 456.237 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL ASSISTANCE PROGRAMS UTILIZATION CONTROL Utilization Control: Mental...

  16. Digital Libraries and Recent Medical Informatics Research. Findings from the IMIA Yearbook of Medical Informatics 2001.

    PubMed

    Ammenwerth, E; Knaup, P; Maier, C; Mludek, V; Singer, R; Skonetzki, S; Wolff, A C; Haux, R; Kulikowski, C

    2001-05-01

    The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of recent excellent papers on medical informatics research (http://www.med.uni-heidelberg.de/mi/yearbook/index.htm). The special topic of the just published Yearbook 2001 is "Digital Libraries and Medicine". Digital libraries have changed dramatically and will continue to change the way we work with medical knowledge. The selected papers present recent research and new results on digital libraries. As usual, the Yearbook 2001 also contains a variety of papers on other subjects relevant to medical informatics, such as Electronic Patient Records, Health Information Systems, Health and Clinical Management, Decision Support Systems, Education, as well as Image and Signal Processing. This paper will briefly introduce the contributions covering digital libraries and will show how medical informatics research contributes to this important topic.

  17. Autonomous decision-making: a data mining approach.

    PubMed

    Kusiak, A; Kern, J A; Kernstine, K H; Tseng, B T

    2000-12-01

    The researchers and practitioners of today create models, algorithms, functions, and other constructs defined in abstract spaces. The research of the future will likely be data driven. Symbolic and numeric data that are becoming available in large volumes will define the need for new data analysis techniques and tools. Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for analysis of large data sets. In this paper, a novel approach for autonomous decision-making is developed based on the rough set theory of data mining. The approach has been tested on a medical data set for patients with lung abnormalities referred to as solitary pulmonary nodules (SPNs). The two independent algorithms developed in this paper either generate an accurate diagnosis or make no decision. The methodolgy discussed in the paper depart from the developments in data mining as well as current medical literature, thus creating a variable approach for autonomous decision-making.

  18. End-of-life decisions in Malaysia: Adequacies of ethical codes and developing legal standards.

    PubMed

    Kassim, Puteri Nemie Jahn; Alias, Fadhlina

    2015-06-01

    End-of-life decision-making is an area of medical practice in which ethical dilemmas and legal interventions have become increasingly prevalent. Decisions are no longer confined to clinical assessments; rather, they involve wider considerations such as a patient's religious and cultural beliefs, financial constraints, and the wishes and needs of family members. These decisions affect everyone concerned, including members of the community as a whole. Therefore it is imperative that clear ethical codes and legal standards are developed to help guide the medical profession on the best possible course of action for patients. This article considers the relevant ethical, codes and legal provisions in Malaysia governing certain aspects of end-of-life decision-making. It highlights the lack of judicial decisions in this area as well as the limitations with the Malaysian regulatory system. The article recommends the development of comprehensive ethical codes and legal standards to guide end-of-life decision-making in Malaysia.

  19. Legal briefing: Shared decision making and patient decision aids.

    PubMed

    Pope, Thaddeus Mason; Hexum, Melinda

    2013-01-01

    This "Legal Briefing" column covers recent legal developments involving patient decision aids.This topic has been the subject of recent articles in JCE. It is included in the 2010 Patient Protection and Affordable Care Act. And it has received significant attention in the biomedical literature, including a new book, a thematic issue of Health Affairs, and a recent article in the New England Journal of Medicine. Moreover, physicians and health systems across the United States are increasingly integrating decision aids into their clinical practice. Both federal and state laws play a significant role in promoting this expanded use. On the other hand, concerns about liability could stymie development and implementation. We categorize legal developments concerning patient decision aids into the following five sections: 1. Development of decision aids. 2. Effectiveness of decision aids. 3. Federal regulation of decision aids. 4. State regulation of decision aids. 5. Legal concerns regarding decision aids.

  20. Decision story strategy: a practical approach for teaching decision making.

    PubMed

    Smith, D L; Hamrick, M H; Anspaugh, D J

    1981-12-01

    Teachers are usually very enthusiastic in their evaluations of decision stories. Decision Story Strategies offer a change of pace, promote student involvement and stimulate creative thinking, problem solving and everpresent creative teaching-learning opportunities. The real-life problems presented within the structure of a decision story provide meaningful learning opportunities for students. Students begin to think in a broader perspective when considering other points of view and information sources. The Decision Story Strategy used with the Decision-Making Model provides a powerful tool for health educators to develop skills for making and evaluating decisions in an interesting and meaningful context. It may not be a panacea for all health educators, but is an effective strategy for the teacher concerned with developing independent decision makers. Most importantly, students are provided opportunities to solve their present problems as well as develop decision-making skills for the future.