Learning to Diagnose with Simulations
Learning to Diagnose with Simulations

Author: Frank Fischer

Publisher: Springer Nature

Published: 2022

Total Pages: 156

ISBN-13: 303089147X

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This open access book presents 8 novel approaches to measure and improve diagnostic competences with simulation. The book compares the effects of interventions on these diagnostic competences in both teacher and medical education. It includes analyses showing that important aspects of diagnostic competences and effects of instructional interventions aiming to facilitate them are comparable for teachers and doctors. Through closely analyzing projects from medical education, mathematics education, biology education, and psychology, the reader is presented with multiple options for interventions that may be used in each of the subject areas and the improvements in diagnostic skills that could be expected from each simulation. The book concludes with an outline of promising future research on the use of simulations to facilitate professional competences in higher education in general, and for the advancement of diagnostic competencies in particular. This is an open access book.

Advanced Health Assessment and Diagnostic Reasoning
Advanced Health Assessment and Diagnostic Reasoning

Author: Rhoads

Publisher: Jones & Bartlett Learning

Published: 2016-12-05

Total Pages: 492

ISBN-13: 1284105377

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Advanced Health Assessment and Diagnostic Reasoning, Third Edition covers the diagnostic reasoning process that providers must follow when assessing an actual case. The text outlines each step of the health assessment process and further demonstrates the link between health history and physical examination. It also provides the healthcare professional with the essential data needed to formulate a diagnosis and treatment plan. New Online Course! Advanced Health Assessment and Diagnostic Reasoning, Third Edition features Navigate Premier Access, a robust online course complete with interactive lectures, eBook with health assessment videos and audio clips, syllabus, instructor resource guide, image bank, practice activities, discussion questions, and testing items. Key Features: • Outlines the health assessment and diagnostic reasoning process for a nurse practitioner assessing a new patient • Provides the essential data needed to formulate a diagnosis and treatment plan • Covers the anatomy and physiology of each system • Includes coverage of specific populations (pediatric, pregnancy, geriatric) • Navigate 2 Premier Access

Improving Diagnosis in Health Care
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.

Cognitive Diagnostic Assessment for Education
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.

Principles and Practice of Case-based Clinical Reasoning Education
Principles and Practice of Case-based Clinical Reasoning Education

Author: Olle ten Cate

Publisher: Springer

Published: 2017-11-06

Total Pages: 208

ISBN-13: 3319648284

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This book is open access under a CC BY 4.0 license. This volume describes and explains the educational method of Case-Based Clinical Reasoning (CBCR) used successfully in medical schools to prepare students to think like doctors before they enter the clinical arena and become engaged in patient care. Although this approach poses the paradoxical problem of a lack of clinical experience that is so essential for building proficiency in clinical reasoning, CBCR is built on the premise that solving clinical problems involves the ability to reason about disease processes. This requires knowledge of anatomy and the working and pathology of organ systems, as well as the ability to regard patient problems as patterns and compare them with instances of illness scripts of patients the clinician has seen in the past and stored in memory. CBCR stimulates the development of early, rudimentary illness scripts through elaboration and systematic discussion of the courses of action from the initial presentation of the patient to the final steps of clinical management. The book combines general backgrounds of clinical reasoning education and assessment with a detailed elaboration of the CBCR method for application in any medical curriculum, either as a mandatory or as an elective course. It consists of three parts: a general introduction to clinical reasoning education, application of the CBCR method, and cases that can used by educators to try out this method.

Simulation in Radiology
Simulation in Radiology

Author: Hugh J. Robertson

Publisher: Oxford University Press

Published: 2012-07-12

Total Pages: 330

ISBN-13: 019976462X

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Edited and contributed to by leaders of radiology simulation-based training, this book is the first of its kind to thoroughly cover such training and education.

Understanding Medical Education
Understanding Medical Education

Author: Tim Swanwick

Publisher: John Wiley & Sons

Published: 2019-01-04

Total Pages: 43

ISBN-13: 1119373824

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Created in partnership with the Association for the Study of Medical Education (ASME), this completely revised and updated new edition of Understanding Medical Education synthesizes the latest knowledge, evidence and best practice across the continuum of medical education. Written and edited by an international team, this latest edition continues to cover a wide range of subject matter within five broad areas – Foundations, Teaching and Learning, Assessment and Selection, Research and Evaluation, and Faculty and Learners – as well as featuring a wealth of new material, including new chapters on the science of learning, knowledge synthesis, and learner support and well-being. The third edition of Understanding Medical Education: Provides a comprehensive and authoritative resource summarizing the theoretical and academic bases to modern medical education practice Meets the needs of all newcomers to medical education whether undergraduate or postgraduate, including those studying at certificate, diploma or masters level Offers a global perspective on medical education from leading experts from across the world Providing practical guidance and exploring medical education in all its diversity, Understanding Medical Education continues to be an essential resource for both established educators and all those new to the field.

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

Author: Nilanjan Dey

Publisher: Academic Press

Published: 2018-11-30

Total Pages: 348

ISBN-13: 012816087X

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. - Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging - Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining - Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains