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Evaluation of diagnostic systems

Author: John Swets

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 270

ISBN-13: 0323141641

Evaluation of Diagnostic Systems: Methods from Signal Detection Theory addresses the many issues that arise in evaluating the performance of a diagnostic system, across the wide range of settings in which such systems are used. These settings include clinical medicine, industrial quality control, environmental monitoring and investigation, machine and metals inspection, military monitoring, information retrieval, and crime investigation. The book is divided into three parts encompassing 11 chapters that emphasize the interpretation of diagnostic visual images by human observers. The first part of the book describes quantitative methods for measuring the accuracy of a system and the statistical techniques for drawing inferences from performance tests. The subsequent part covers study design and includes a detailed description of the form and conduct of an image-interpretation test. The concluding part examines the case study of a medical imaging system that serves as an example of both simple and complex applications. In this part, three mammographic modalities are used: industrial film radiography, low-dose film radiography, and xeroradiography. The case study focuses on the overall reliability of accuracy indices made by its main components, that is, the variabilities across cases, across readers, and within individual readers. The supplementary texts provide study protocols, a computer program for processing test results, and an extensive list of references that will assist the reader in applying those evaluative methods to diagnostic systems in any setting. This book is of value to scientists and engineers, as well as to applied, quantitative, or experimental psychologists who are engaged in the study of the human processes of discrimination and decision making in either perceptual or cognitive tasks.

Improving Diagnosis in Health Care

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2015-12-29

Total Pages: 473

ISBN-13: 0309377722

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Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

The Medical Model in Mental Health

Author: Ahmed Samei Huda

Publisher: Oxford University Press

Published: 2019-05-16

Total Pages: 384

ISBN-13: 0192534092

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Many published books that comment on the medical model have been written by doctors, who assume that readers have the same knowledge of medicine, or by those who have attempted to discredit and attack the medical practice. Both types of book have tended to present diagnostic categories in medicine as universally scientifically valid examples of clear-cut diseases easily distinguished from each other and from health; with a fixed prognosis; and with a well-understood aetiology leading to disease-reversing treatments. These are contrasted with psychiatric diagnoses and treatments, which are described as unclear and inadequate in comparison. The Medical Model in Mental Health: An Explanation and Evaluation explores the overlap between the usefulness of diagnostic constructs (which enable prognosis and treatment decisions) and the therapeutic effectiveness of psychiatry compared with general medicine. The book explains the medical model and how it applies in mental health, assuming little knowledge or experience of medicine, and defends psychiatry as a medical practice.

Statistical Evaluation of Diagnostic Performance

Author: Kelly H. Zou

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 243

ISBN-13: 1439812233

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Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are releva

Assessment of Diagnostic Technology in Health Care

Author: Institute of Medicine

Publisher: National Academies Press

Published: 1989-02-01

Total Pages: 152

ISBN-13: 030904099X

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Technology assessment can lead to the rapid application of essential diagnostic technologies and prevent the wide diffusion of marginally useful methods. In both of these ways, it can increase quality of care and decrease the cost of health care. This comprehensive monograph carefully explores methods of and barriers to diagnostic technology assessment and describes both the rationale and the guidelines for meaningful evaluation. While proposing a multi-institutional approach, it emphasizes some of the problems involved and defines a mechanism for improving the evaluation and use of medical technology and essential resources needed to enhance patient care.

Advances in Patient Safety

Author: Kerm Henriksen

Publisher:

Published: 2005

Total Pages: 526

ISBN-13:

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v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.

Cognitive Diagnostic Assessment for Education

Author: Jacqueline Leighton

Publisher: Cambridge University Press

Published: 2007-05-14

Total Pages: 353

ISBN-13: 1139464280

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With the current push toward educational reform, there is great potential for innovation and change, particularly in large scale testing. One area where change is possible is in cognitive diagnostic assessment. Researchers in educational measurement and cognitive psychology are finally in a position to design tests targeted specifically for providing valuable information about students' cognitive strengths and weaknesses. This self-contained volume organizes what is known about cognitive diagnostic assessment in education, including its conceptual and philosophical basis, methods, and applications. The complete list of topics includes educational demand, philosophical rationale, construct validity, cognitive methods, test construction, statistical models, and unresolved issues (e.g., how to best translate diagnostic information into teaching practices). Leighton and Gierl present a comprehensive and up-to-date examination of cognitive diagnostic assessment in education.

Diagnostic and Statistical Manual of Mental Disorders (DSM-5)

Author: American Psychiatric Association

Publisher: American Psychiatric Publishing

Published: 2021-09-24

Total Pages:

ISBN-13: 9781955245180

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Laboratory Screening and Diagnostic Evaluation

Author: Kelly Small Casler, DNP, APRN, FNP-BC, CHSE

Publisher: Springer Publishing Company

Published: 2022-04-25

Total Pages: 1111

ISBN-13: 0826140939

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"[the authors] did a masterful job of creating and editing this gold standard book that should be used by all clinicians and incorporated into all nursing and health sciences curriculums." -Bernadette Mazurek Melnyk, PhD, APRN-CNP, FNAP, FAANP, FAAN Vice President for Health Promotion University Chief Wellness Officer Dean and Helene Fuld Health Trust Professor of Evidence-Based Practice, College of Nursing Professor of Pediatrics & Psychiatry, College of Medicine Executive Director, the Helene Fuld Health Trust National Institute for EBP The Ohio State University This is the only book to explicitly guide clinicians through an evidence-based approach to ordering and interpreting laboratory tests. With over 160 commonly ordered tests, this book is designed to foster more accurate clinical decision-making to attain the highest level of patient care. This book summarizes more than 3000 pieces of evidence and incorporates clinical expertise and decision-making on the ordering and interpretation of tests. To promote ease of use, a convenient table maps labs and their corresponding chapter numbers to the relevant body system to promote ease of use. Each laboratory test is presented in a consistent format with information on physiology, indications (screening, diagnosis, and monitoring), algorithms, test interpretation and follow-up testing, patient education, and related diagnoses. Additional valuable features include clinical pearls that highlight common pitfalls and gaps in reasoning, and a cost-benefit analysis. This book also includes CPT and ICD-10 codes, charts and tables for clarification, and references for further study. Key Features: Delivers a strong, evidence-based approach to ordering and interpreting over 160 laboratory tests Promotes accurate clinical decision-making toward achieving the Triple Aim Includes abundant clinical pearls highlighting common pitfalls and gaps in reasoning Provides cost-benefit analysis and discussion of laboratory testing within a high-value healthcare culture Includes 175 supplemental case examples and 200 self-assessment questions to facilitate instruction and learning Includes more than 3000 pieces of evidence from interprofessional resources

Handbook of Diagnostic Classification Models

Author: Matthias von Davier

Publisher: Springer Nature

Published: 2019-10-11

Total Pages: 656

ISBN-13: 3030055841

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This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.