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  1. Conceptual Engineering of Medical Concepts.Elisabetta Lalumera - forthcoming - In Manuel Gustavo Isaac, Kevin Scharp & Steffen Koch (eds.), New Perspectives on Conceptual Engineering. Synthese Library.
    There is a lot of conceptual engineering going on in medical research. I substantiate this claim with two examples, the medical debate about cancer classification and about obesity as a disease I also argue that the proper target of conceptual engineering in medical research are experts’ conceptions. These are explicitly written down in documents and guidelines, and they bear on research and policies. In the second part of the chapter, I propose an externalist framework in which conceptions have both the (...)
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  2. Causal Inference from Clinical Experience.Hamed Tabatabaei Ghomi & Jacob Stegenga - forthcoming - Philosophical Studies:1-21.
    How reliable are causal inferences in complex empirical scenarios? For example, a physician prescribes a drug to a patient, and then the patient undergoes various changes to their symptoms. They then increase their confidence that it is the drug that causes such changes. Are such inferences reliable guides to the causal relation in question, particularly when the physician can gain a large volume of such clinical experience by treating many patients? The evidence-based medicine movement says no, while some physicians and (...)
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  3. Ethno-racial categorisations for biomedical studies: the fair selection of research participants and population stratification.Tomasz Żuradzki & Joanna Karolina Malinowska - 2024 - Synthese 204 (4):1-22.
    We argue that there are neither scientific nor social reasons to require gathering ethno-racial data, as defined in the US legal regulations if researchers have no prior hypotheses as to how to connect this type of categorisation of human participants of clinical trials with any mechanisms that could explain alleged interracial health differences and guide treatment choice. Although we agree with the normative perspective embedded in the calls for the fair selection of participants for biomedical research, we demonstrate that current (...)
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  4. Probability and Informed Consent.Nir Ben-Moshe, Benjamin A. Levinstein & Jonathan Livengood - 2023 - Theoretical Medicine and Bioethics 44 (6):545-566.
    In this paper, we illustrate some serious difficulties involved in conveying information about uncertain risks and securing informed consent for risky interventions in a clinical setting. We argue that in order to secure informed consent for a medical intervention, physicians often need to do more than report a bare, numerical probability value. When probabilities are given, securing informed consent generally requires communicating how probability expressions are to be interpreted and communicating something about the quality and quantity of the evidence for (...)
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  5. Simulation of Trial Data to Test Speculative Hypotheses about Research Methods.Hamed Tabatabaei Ghomi & Jacob Stegenga - 2023 - In Kristien Hens & Andreas De Block (eds.), Advances in experimental philosophy of medicine. New York: Bloomsbury Academic. pp. 111-128.
    We simulate trial data to test speculative claims about research methods, such as the impact of publication bias.
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  6. What evidence for a cholera vaccine? Jaime Ferrán’s submissions to the Prix Bréant.David Teira & Clara Uzcanga - 2023 - Journal of the History of Medicine and Allied Sciences.
    This article analyses how the French Academy of Sciences assessed Jaime Ferrán’s cholera vaccine submitted for the Prix Bréant in the 1880s. Ferrán, a Spanish independent physician, discovered the treatment in 1884 and tried it on thousands of patients during the cholera outbreak in Valencia the following year. His evaluation sparked a controversy in Spain and abroad on the vaccine’s efficacy. The Bréant jury did not see any evidence for it in Ferrán’s submission, a decision usually interpreted in terms of (...)
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  7. Reductionist methodology and the ambiguity of the categories of race and ethnicity in biomedical research: an exploratory study of recent evidence.Joanna Karolina Malinowska & Tomasz Żuradzki - 2022 - Medicine, Health Care and Philosophy (1):1-14.
    In this article, we analyse how researchers use the categories of race and ethnicity with reference to genetics and genomics. We show that there is still considerable conceptual “messiness” (despite the wide-ranging and popular debate on the subject) when it comes to the use of ethnoracial categories in genetics and genomics that among other things makes it difficult to properly compare and interpret research using ethnoracial categories, as well as draw conclusions from them. Finally, we briefly reconstruct some of the (...)
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  8. Red herrings about relative measures: A response to Hoefer and Krauss.Jacob Stegenga - 2022 - Studies in History and Philosophy of Science Part A 92 (C):56-59.
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  9. Evidence of effectiveness.Jacob Stegenga - 2022 - Studies in History and Philosophy of Science Part A 91 (C):288-295.
    There are two competing views regarding the role of mechanistic knowledge in inferences about the effectiveness of interventions. One view holds that inferences about the effectiveness of interventions should be based only on data from population-level studies (often statistical evidence from randomised trials). The other view holds that such inferences must be based in part on mechanistic evidence. The competing views are local principles of inference, the plausibility of which can be assessed by a more general normative principle of inference. (...)
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  10. Conventional Choices in Outcome Measures Influence Meta-Analytic Results.Hamed Tabatabaei Ghomi & Jacob Stegenga - 2022 - Philosophy of Science 89 (5):949-959.
    It is a plausible speculation that conventional choices in outcome measures might influence the results of meta-analyses. We test that speculation by simulating data from trials on antidepressants. We vary real drug effectiveness while modulating conventional values for outcome measures. We had previously shown that one conventional choice used in meta-analyses of antidepressants falls in a narrow range of values that maximize estimates of effectiveness. Our present analysis investigates why this phenomenon occurs. Moreover, our results suggest the superiority of absolute (...)
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  11. The Quest for System-Theoretical Medicine in the COVID-19 Era.Felix Tretter, Olaf Wolkenhauer, Michael Meyer-Hermann, Johannes W. Dietrich, Sara Green, James Marcum & Wolfram Weckwerth - 2021 - Frontiers in Medicine 8:640974.
    Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the limits (...)
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  12. Medical Nihilism by Jacob Stegenga: What is the right dose? [REVIEW]Jonathan Fuller - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 81.
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  13. The limits of conventional justification: inductive risk and industry bias beyond conventionalism.Miguel Ohnesorge - 2020 - Frontiers in Research Metric and Analytics 14.
    This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...)
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  14. COVID-19 and Control: An Essay from a Pragmatic Perspective on Science.Tuomas K. Pernu - 2020 - Multidisciplinary Perspectives on the COVID-19 Pandemic.
    The COVID-19 pandemic has demonstrated how different (even conflicting) interventions on nature can be scientifically justified: interventions can be deemed "effective" only in relation to specific target variables - in relation to variables the values of which we seek to control. Choosing the "right" target variables, in turn, depends on our values and pragmatic aims. This essay is based on a presentation given at the symposium "Multidisciplinary Perspectives on the COVID-19 Pandemic", organised at the Helsinki Collegium for Advanced Studies on (...)
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  15. Moral Normative Force and Clinical Ethics Expertise.Parker Crutchfield - 2019 - American Journal of Bioethics 19 (11):89-91.
    Brummett and Salter propose a useful and timely taxonomy of clinical ethics expertise (2019). As the field becomes further “professionalized” this taxonomy is important, and the core of it is right. It needs some refinement around the edges, however. In their conclusion, Brummett and Salter rightly point out that there is a significant difference between the ethicist whose recommendations are procedure- and process-heavy, consensus-driven, and dialogical and the authoritarian ethicist whose recommendations flow from “private moral views” (Brummett and Salter, 2019). (...)
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  16. Randomized Controlled Trials for Diagnostic Imaging: Conceptual and Pratical Problems.Elisabetta Lalumera & Stefano Fanti - 2019 - Topoi 38 (2):395-400.
    We raise a problem of applicability of RCTs to validate nuclear diagnostic imaging tests. In spite of the wide application of PET and other similar techniques that use radiopharmaceuticals for diagnostic purposes, RCT-based evidence on their validity is sparse. We claim that this is due to a general conceptual problem that we call Prevalence of Treatment, which arises in connection with designing RCTs for testing any diagnostic procedure in the present context of medical research, and is particularly apparent in this (...)
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  17. An epistemological problem for integration in EBM.Sasha Lawson-Frost - 2019 - Journal of Evaluation in Clinical Practice 25 (6):938-942.
    Evidence-based medicine (EBM) calls for medical practitioners to “integrate” our best available evidence into clinical practice. A significant amount of the literature on EBM takes this integration to be unproblematic, focusing on questions like how to interpret evidence and engage with patient values, rather than critically looking at how these features of EBM can be implemented together. Other authors have also commented on this gap in the literature, for example, identifying the lack of clarity about how patient preferences and evidence (...)
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  18. The Immortal Fly: Eternal Whispers _ Google Scholar.Rituparna Ray Chaudhuri - 2019 - Bloomington,USA: Partridge International In Association with Penguin Random House.
    THE IMMORTAL FLY: ETERNAL WHISPERS. WHO IS SHE? Author: Rituparna Ray Chaudhuri. Hello, Recently my book named, ‘The Immortal Fly: Eternal Whispers : Based On True Events of a Family' been published from Partridge (USA) In Association with Penguin Random House (UK) and achieved a separate Google identity. -/- As being # the author of the book, I thought to define self in the book what is definition of 'Depression'. I wanted to explain self in many ways, but the best (...)
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  19. Ethical and Moral Concerns Regarding Artificial Intelligence in Law and Medicine.Soaad Hossain - 2018 - Journal of Undergraduate Life Sciences 12 (1):10.
    This paper summarizes the seminar AI in Medicine in Context: Hopes? Nightmares? that was held at the Centre for Ethics at the University of Toronto on October 17, 2017, with special guest assistant professor and neurosurgeon Dr. Sunit Das. The paper discusses the key points from Dr. Das' talk. Specifically, it discusses about Dr. Das' perspective on the ethical and moral issues that was experienced from applying artificial intelligence (AI) in law and how such issues can also arise when applying (...)
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  20. Medizin als Wissenschaft - eine wissenschaftstheoretische Analyse.Holger Lyre - 2018 - In Daniela Ringkamp & Héctor Wittwer (eds.), Was ist Medizin? Der Begriff der Medizin und seine ethischen Implikationen. Alber.
    Gegenstand dieses Beitrags ist eine Auseinandersetzung mit der Wissenschaftlichkeit der Medizin. Den Leitfaden der Analyse bildet dabei ein jüngerer Ansatz in der analytischen Wissenschaftstheorie, wonach Systematizität als zentrales Kriterium von Wissenschaft anzusehen ist (Hoyningen-Huene 2013). Ich werde im Detail zeigen, dass die Medizin dieses mehrdimensionale Kriterium insgesamt erfüllt, dass aus der Wissenschaftlichkeit der Medizin aber gleichwohl normative Konsequenzen folgen, die beispielsweise zur Abgrenzung von der Homöopathie und einer kritischen Bewertung des biopsychosozialen Modells führen. Zudem resultieren der Anwendungscharakter der Medizin und (...)
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  21. Medicine Without Cure?: A Cluster Analysis of the Nature of Medicine.Thaddeus Metz - 2018 - Journal of Medicine and Philosophy 43 (3):306-312.
    Part of a symposium devoted to ‘Prediction, Understanding, and Medicine’, in which Alex Broadbent argues that the nature of medicine is determined by its competences, i.e., which things it can do well. He argues that, although medicine cannot cure well, it can do a good job of enabling people not only to understand states of the human organism and of what has caused them, but also to predict future states of it. From this Broadbent concludes that medicine is (at least (...)
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  22. Advancing the Philosophy of Medicine: Towards New Topics and Sources.Thaddeus Metz & Chadwin Harris - 2018 - Journal of Medicine and Philosophy 43 (3):281-288.
    The first part of a symposium devoted to Alex Broadbent's essay titled ‘Prediction, Understanding and Medicine’, this article notes the under-development of a variety of issues in the philosophy of medicine that transcend bioethics and the long-standing debates about the nature of health/illness and of evidence-based medicine. It also indicates the importance of drawing on non-Western, and particularly African, traditions in addressing these largely metaphysical and epistemological matters.
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  23. Patient centred diagnosis: sharing diagnostic decisions with patients in clinical practice.Zackary Berger, J. P. Brito, Ns Ospina, S. Kannan, Js Hinson, Ep Hess, H. Haskell, V. M. Montori & D. Newman-Toker - 2017 - British Medical Journal 359:j4218.
    Patient centred diagnosis is best practised through shared decision making; an iterative dialogue between doctor and patient, whichrespects a patient’s needs, values, preferences, and circumstances. -/- Shared decision making for diagnostic situations differs fundamentally from that for treatment decisions. This has important implications when considering its practical application. -/- The nature of dialogue should be tailored to the specific diagnostic decision; scenarios with higher stakes or uncertainty usually require more detailed conversations.
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  24. The new medical model: a renewed challenge for biomedicine.Jonathan Fuller - 2017 - Canadian Medical Association Journal 189:E640-1.
    Over the past 25 years, several new “medicines” have come screeching onto health care’s various platforms, including narrative medicine, personalized medicine, precision medicine and person-centred medicine. Philosopher Miriam Solomon calls the first three of these movements different “ways of knowing” or “methods,” and argues that they are each a response to shortcomings of methods that came before them. They should also be understood as reactions to the current dominant model of medicine. In this article, I will describe our dominant model, (...)
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  25. ¿Es la medicalización un fenómeno negativo? Un análisis de las consecuencias que suelen atribuirse a la medicalización?Alberto Oya - 2017 - Daimon: Revista Internacional de Filosofía (71):7-18.
    En este artículo expondré un análisis de la valoración negativa de las consecuencias que suelen atribuirse al fenómeno de la medicalización y, partiendo de aquí, mi objetivo básico será mostrar que la medicalización no es en sí mismo un fenómeno negativo. Sólo lo será cuando se obtenga un valor negativo del cálculo entre, por un lado, la efectividad de la propuesta médica para solucionar el problema y, por otro lado, el balance entre los beneficios de dicha propuesta médica y sus (...)
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  26. Drug Regulation and the Inductive Risk Calculus.Jacob Stegenga - 2017 - In Kevin Christopher Elliott & Ted Richards (eds.), Exploring Inductive Risk: Case Studies of Values in Science. New York: Oup Usa. pp. 17-36.
    Drug regulation is fraught with inductive risk. Regulators must make a prediction about whether or not an experimental pharmaceutical will be effective and relatively safe when used by typical patients, and such predictions are based on a complex, indeterminate, and incomplete evidential basis. Such inductive risk has important practical consequences. If regulators reject an experimental drug when it in fact has a favourable benefit/harm profile, then a valuable intervention is denied to the public and a company’s material interests are needlessly (...)
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  27. Reductionism in the biomedical sciences.Holly K. Andersen - 2016 - In Miriam Solomon, Jeremy R. Simon & Harold Kincaid (eds.), The Routledge Companion to Philosophy of Medicine. New York, NY: Routledge.
    This chapter discusses several kinds of reduction that are often found in the biomedical sciences, in contrast to reduction in fields such as physics. This includes reduction as a methodological assumption for how to investigate phenomena like complex diseases, and reduction as a conceptual tool for relating distinct models of the same phenomenon. The case of Parkinson’s disease illustrates a wide variety of ways in which reductionism is an important tool in medicine.
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  28. Reduction in the Biomedical Sciences.Holly K. Andersen - 2016 - In Miriam Solomon, Jeremy R. Simon & Harold Kincaid (eds.), The Routledge Companion to Philosophy of Medicine. New York, NY: Routledge.
    This chapter discusses several kinds of reduction that are often found in the biomedical sciences, in contrast to reduction in fields such as physics. This includes reduction as a methodological assumption for how to investigate phenomena like complex diseases, and reduction as a conceptual tool for relating distinct models of the same phenomenon. The case of Parkinson’s disease illustrates a wide variety of ways in which reductionism is an important tool in medicine.
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  29. Evidence based or person centered? An ontological debate.Rani Lill Anjum - 2016 - European Journal for Person Centered Healthcare 4 (2):421-429.
    Evidence based medicine (EBM) is under critical debate, and person centered healthcare (PCH) has been proposed as an improvement. But is PCH offered as a supplement or as a replacement of EBM? Prima facie PCH only concerns the practice of medicine, while the contended features of EBM also include methods and medical model. I here argue that there are good philosophical reasons to see PCH as a radical alternative to the existing medical paradigm of EBM, since the two seem committed (...)
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  30. Evaluating Normative Epistemic Frameworks in Medicine: EBM and Casuistic Medicine.Emily Bingeman - 2016 - Journal of Evaluation in Clinical Practice 22 (4):490-495.
    Since its inception in the early 1990s, evidence-based medicine (EBM) has become the dominant epistemic framework for Western medical practice. However, in light of powerful criticisms against EBM, alternatives such as casuistic medicine have been gaining support in both the medical and philosophical community. In the absence of empirical evidence in support of the claim that EBM improves patient outcomes, and in light of considerations that it is unlikely that such evidence will be forthcoming, another standard is needed to assess (...)
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  31. Translating Trial Results in Clinical Practice: the Risk GP Model.Jonathan Fuller & Luis J. Flores - 2016 - Journal of Cardiovascular Translational Research 9:167-168.
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  32. New Directions in Philosophy of Medicine.Jacob Stegenga, Ashley Kennedy, Serife Tekin, Saana Jukola & Robyn Bluhm - 2016 - In James A. Marcum (ed.), Bloomsbury Companion to Contemporary Philosophy of Medicine. New York: Bloomsbury. pp. 343-367.
    The purpose of this chapter is to describe what we see as several important new directions for philosophy of medicine. This recent work (i) takes existing discussions in important and promising new directions, (ii) identifies areas that have not received sufficient and deserved attention to date, and/or (iii) brings together philosophy of medicine with other areas of philosophy (including bioethics, philosophy of psychiatry, and social epistemology). To this end, the next part focuses on what we call the “epistemological turn” in (...)
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  33. Overcoming Expert Disagreement In A Delphi Process. An Exercise In Reverse Epistemology.Lalumera Elisabetta - 2015 - Humana Mente 8 (28):87-103.
    Disagreement among experts is a central topic in social epistemology. What should an expert do when confronted with the different opinion of an epistemic peer? Possible answers include the steadfast view (holding to one’s belief), the abstemious view (suspending one’s judgment), and moderate conciliatory views, which specify criteria for belief change when a peer’s different opinion is encountered. The practice of Delphi techniques in healthcare, medicine, and social sciences provides a real-life case study of expert disagreement, where disagreement is gradually (...)
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  34. Prediction in epidemiology and medicine.Jonathan Fuller, Alex Broadbent & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:45-48.
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  35. The Risk GP Model: The standard model of prediction in medicine.Jonathan Fuller & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:49-61.
    With the ascent of modern epidemiology in the Twentieth Century came a new standard model of prediction in public health and clinical medicine. In this article, we describe the structure of the model. The standard model uses epidemiological measures-most commonly, risk measures-to predict outcomes (prognosis) and effect sizes (treatment) in a patient population that can then be transformed into probabilities for individual patients. In the first step, a risk measure in a study population is generalized or extrapolated to a target (...)
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  36. Diseases, patients and the epistemology of practice: mapping the borders of health, medicine and care.Michael Loughlin, Robyn Bluhm, Jonathan Fuller, Stephen Buetow, Benjamin R. Lewis & Brent M. Kious - 2015 - Journal of Evaluation in Clinical Practice 21 (3):357-364.
    Last year saw the 20th anniversary edition of JECP, and in the introduction to the philosophy section of that landmark edition, we posed the question: apart from ethics, what is the role of philosophy ‘at the bedside’? The purpose of this question was not to downplay the significance of ethics to clinical practice. Rather, we raised it as part of a broader argument to the effect that ethical questions – about what we should do in any given situation – are (...)
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  37. Biomedical imaging ontologies: A survey and proposal for future work.Barry Smith, Sivaram Arabandi, Mathias Brochhausen, Michael Calhoun, Paolo Ciccarese, Scott Doyle, Bernard Gibaud, Ilya Goldberg, Charles E. Kahn Jr, James Overton, John Tomaszewski & Metin Gurcan - 2015 - Journal of Pathology Informatics 6 (37):37.
    Ontology is one strategy for promoting interoperability of heterogeneous data through consistent tagging. An ontology is a controlled structured vocabulary consisting of general terms (such as “cell” or “image” or “tissue” or “microscope”) that form the basis for such tagging. These terms are designed to represent the types of entities in the domain of reality that the ontology has been devised to capture; the terms are provided with logical defi nitions thereby also supporting reasoning over the tagged data. Aim: This (...)
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  38. Measuring effectiveness.Jacob Stegenga - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:62-71.
    Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not be sensitive (...)
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  39. Effectiveness of medical interventions.Jacob Stegenga - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:34-44.
    To be effective, a medical intervention must improve one's health by targeting a disease. The concept of disease, though, is controversial. Among the leading accounts of disease-naturalism, normativism, hybridism, and eliminativism-I defend a version of hybridism. A hybrid account of disease holds that for a state to be a disease that state must both (i) have a constitutive causal basis and (ii) cause harm. The dual requirement of hybridism entails that a medical intervention, to be deemed effective, must target either (...)
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  40. Herding QATs: Quality Assessment Tools for Evidence in Medicine.Jacob Stegenga - 2015 - In Huneman, Silberstein & Lambert (eds.), Herding QATs: Quality Assessment Tools for Evidence in Medicine. pp. 193-211.
    Medical scientists employ ‘quality assessment tools’ (QATs) to measure the quality of evidence from clinical studies, especially randomized controlled trials (RCTs). These tools are designed to take into account various methodological details of clinical studies, including randomization, blinding, and other features of studies deemed relevant to minimizing bias and error. There are now dozens available. The various QATs on offer differ widely from each other, and second-order empirical studies show that QATs have low inter-rater reliability and low inter-tool reliability. This (...)
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  41. (1 other version)The Continuing Relevance of 19th-Century Philosophy of Psychology: Brentano and the Autonomy of Psychological Methods.Uljana Feest - 2014 - In The Continuing Relevance of 19th-Century Philosophy of Psychology: Brentano and the Autonomy of Psychological Methods. pp. 693-709.
    This paper provides an analysis of Franz Brentano’s thesis that psychology employs a distinctive method, which sets it apart from physiology. The aim of the paper is two-fold: First, I situate Brentano’s thesis (and the broader metaphysical system that underwrites it) within the context of specific debates about the nature and status of psychology, arguing that we regard him as engaging in a form of boundary work. Second, I explore the relevance of Brentano’s considerations to more recent debates about autonomy (...)
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  42. OAE: The Ontology of Adverse Events.Yongqun He, Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Abra Guo, Shelley Zhang, Desikan Jagannathan, Luca Toldo, Cui Tao & Barry Smith - 2014 - Journal of Biomedical Semantics 5 (29):1-13.
    A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data (...)
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  43. Corroborating evidence‐based medicine.Alexander Mebius - 2014 - Journal of Evaluation in Clinical Practice 20 (6):915-920.
    Proponents of evidence-based medicine have argued convincingly for applying this scientific method to medicine. However, the current methodological framework of the EBM movement has recently been called into question, especially in epidemiology and the philosophy of science. The debate has focused on whether the methodology of randomized controlled trials provides the best evidence available. This paper attempts to shift the focus of the debate by arguing that clinical reasoning involves a patchwork of evidential approaches and that the emphasis on evidence (...)
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  44. Down with the Hierarchies.Jacob Stegenga - 2014 - Topoi 33 (2):313-322.
    Evidence hierarchies are widely used to assess evidence in systematic reviews of medical studies. I give several arguments against the use of evidence hierarchies. The problems with evidence hierarchies are numerous, and include methodological shortcomings, philosophical problems, and formal constraints. I argue that medical science should not employ evidence hierarchies, including even the latest and most-sophisticated of such hierarchies.
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  45. OBCS: The Ontology of Biological and Clinical Statistics.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Yu Lin, Alfred Hero, Barry Smith & Yongqun He - 2014 - Proceedings of the Fifth International Conference on Biomedical Ontology 1327:65.
    Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...)
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  46. Book Review Jeremy Howick , The Philosophy of Evidence-Based Medicine . Chichester: Wiley-Blackwell (2011), 248 pp., $61.95 (paper). [REVIEW]Alex Broadbent - 2013 - Philosophy of Science 80 (1):165-168.
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  47. Placebo Use in the United Kingdom: Results from a National Survey of Primary Care Practitioners.Jeremy Howick - 2013 - PLoS 8 (3).
    Objectives -/- Surveys in various countries suggest 17% to 80% of doctors prescribe ‘placebos’ in routine practice, but prevalence of placebo use in UK primary care is unknown. Methods -/- We administered a web-based questionnaire to a representative sample of UK general practitioners. Following surveys conducted in other countries we divided placebos into ‘pure’ and ‘impure’. ‘Impure’ placebos are interventions with clear efficacy for certain conditions but are prescribed for ailments where their efficacy is unknown, such as antibiotics for suspected (...)
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  48. The Neurological Disease Ontology.Mark Jensen, Alexander P. Cox, Naveed Chaudhry, Marcus Ng, Donat Sule, William Duncan, Patrick Ray, Bianca Weinstock-Guttman, Barry Smith, Alan Ruttenberg, Kinga Szigeti & Alexander D. Diehl - 2013 - Journal of Biomedical Semantics 4 (42):42.
    We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) (...)
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  49. (1 other version)Human Action in the Healthcare Domain: A Critical Analysis of HL7’s Reference Information Model.Barry Smith, Lowell Vizenor & Werner Ceusters - 2013 - In Barry Smith, Lowell Vizenor & Werner Ceusters (eds.), Human Action in the Healthcare Domain: A Critical Analysis of HL7’s Reference Information Model. Ontos Verlag. pp. 554--573.
    If we are to develop efficient, reliable and secure means for sharing information across healthcare systems and organizations, then a careful analysis of human actions will be needed. To address this need, the HL7 organization has proposed its Reference Information Model (RIM), which is designed to provide a comprehensive representation of the entire domain of healthcare centered around the phenomenon of human action. Taking the Basic Formal Ontology as our starting point, we examine the RIM from an ontological point of (...)
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  50. Reason and value: making reasoning fit for practice.Michael Loughlin, Robyn Bluhm, Stephen Buetow, Ross E. G. Upshur, Maya J. Goldenberg, Kirstin Borgerson, Vikki Entwistle & Elselijn Kingma - 2012 - Journal of Evaluation in Clinical Practice 18 (5):929-937.
    Editors' introduction to 3rd thematic issue on philosophy of medicine.
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