Download or read book Case History Data Interpretation in Medical Practice written by ABM Abdullah and published by JP Medical Ltd. This book was released on 2014-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Salient features of this book: a unique book for mastering the skills of interpreting various types of data in clinical medicine; useful for postgraduate students to practice and assess their competency in interpreting clinical scenarios; contains 333 case histories and clinical data, 26 spirometry tracings, 14 family trees, 16 data on cardiac catheterization and 171 clinical pictures; relevant clinical information regarding a disease condition have been provided in 'answers' section to help students get a complete idea about the disease without going through voluminous textbooks; helpful for teachers and busy practitioners to quickly refresh their memory; more than enough information for undergraduates and interns.
Download or read book Case History and Data Interpretation in Medical Practice written by and published by . This book was released on 2015 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Case History and Data Interpretation in Medical Practice written by ABM. Abdullah and published by . This book was released on 2010 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Clinical Data Interpretation for Medical Finals written by Philip Pastides and published by John Wiley & Sons. This book was released on 2012-04-03 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by senior clinicians across a range of specialties, Data Interpretation for Medical Finals: Single Best Answer Questions is the perfect way to prepare for data interpretation assessments and clinical practice. Featuring over 200 questions on key topics in medicine, each question is set around an image or investigation, such as an X-ray, CT scan, or blood film, and tests identification and interpretation of the data provided. Thorough explanation of the correct and incorrect answers helps you learn from mistakes. The questions reflect current exam question style and incorporate high quality images, many of which are annotated, and are presented in full colour throughout. Data Interpretation for Medical Finals will help build the confidence of all medical students, and Foundation Doctors, as it encourages application of investigation results to clinical decision making.
Download or read book 100 Cases for Medical Data Interpretation written by David Howlett and published by CRC Press. This book was released on 2013-01-22 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data interpretation questions based on clinical cases are a popular means of testing medical students both during undergraduate studies and as an element of finals examinations. Written by a small team of authors with extensive teaching experience, 100 Cases in Medical Data Interpretation provides invaluable guidance from lecturers who understand from personal experience that detailed and accurate explanations are the key to successful revision. This book presents 100 cases arranged by specialty area—radiology, clinical chemistry, haematology and cardiology—as well as a random section of miscellaneous cases. Questions accompanying each case prompt the reader to consider how the data presented might be correctly understood. A clear discussion of how the correct answer was reached, with boxed highlights and bullet lists of key points, makes this book an excellent learning aid during all stages of clinical studies, and particularly while preparing for medical finals.
Download or read book Data Interpretation for Medical Students written by Paul Hamilton and published by PasTest Ltd. This book was released on 2006 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is written for all medical students and is ideal for OSCE practice, during ward rounds and clinical years ..." -- BOOK COVER.
Download or read book Case History and Data Interpretation in Medical Practice written by A. B. M. Abdullah and published by Jaypee Brothers Medical Pub. This book was released on 2010-01-30 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Interpretation Made Easy written by Neel Sharma and published by CRC Press. This book was released on 2022-03-10 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to interpret and synthesise medical data is essential for doctors, yet it is a skill which can be difficult to master. Data Interpretation Made Easy focuses on developing this skill by presenting an array of case-based themes considering interpretation of blood results, X-rays, ECGs and CT images in medicine with discussion of evidence-based practice. The concise, list-based text aids easy comprehension and images provide the much needed link from raw data to evidence-based care and management. This highly practical book is essential reading for undergraduate medical students preparing for examinations. It is also ideal for junior doctors needing a succinct guide to data interpretation for everyday use. 'Dr Neel Sharma's latest venture on data interpretation has dozens of credible clinical scenarios covering many key areas of clinical medicine. And you will certainly feel challenged, as he leaves it up to you to diagnose and devise the treatment plan.' From the Foreword by Tiago Villanueva
Download or read book Short Cases in Clinical Medicine written by Dr. A B M Abdullah and published by Elsevier India. This book was released on 2010 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is a very helpful learning manual for undergraduate and postgraduate students preparing for FCPS, MD, MRCP, FRACP or any other equivalent examinations in internal medicine, or even any subspecialties. It would also be useful to practicing doctors.The students can carry the book to the ward and with its help practice examination of patients in a systematic way, thus prepare themselves for their practical exams. About the Author : - Dr. A B M Abdullah MRCP (UK), FRCP (Edin) is a Professor of Medicine at Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh. He has wide experience as a practicing physician and a teacher of clinical medicine, both at home and abroad. Throughout his career, he has been involved in teaching and training of undergraduate and postgraduate medical students as well as nursing students. Professor Abdullah has published 25 research papers in various national and international journals and has authored, in addition to the present one, three books, titled, Radiology in Medical Practice , ECG in Medical Practice and Case History and Data Interpretation in Medical Practice ; of these, the first one is published by Elsevier. Also, he has written several articles for daily newspapers on common medical problems and delivered many television programs on public health issues .
Download or read book Long Cases in Clinical Medicine written by ABM Abdullah and published by Jaypee Brothers Medical Publishers. This book was released on 2019-05-14 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents trainees with detailed clinical cases for numerous diseases and disorders covering various body systems including respiratory, gastroenterology, neurology and haematology. Questions and answers are provided at the end of each case.
Download or read book The Principles and Practice of Narrative Medicine written by Rita Charon and published by Oxford University Press. This book was released on 2017 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Principles and Practice of Narrative Medicine articulates the ideas, methods, and practices of narrative medicine. Written by the originators of the field, this book provides the authoritative starting place for any clinicians or scholars committed to learning of and eventually teaching or practicing narrative medicine.
Download or read book Registries for Evaluating Patient Outcomes written by Agency for Healthcare Research and Quality/AHRQ and published by Government Printing Office. This book was released on 2014-04-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Download or read book Evidence Based Medicine and the Changing Nature of Health Care written by Institute of Medicine and published by National Academies Press. This book was released on 2008-09-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the work of the Roundtable on Evidence-Based Medicine, the 2007 IOM Annual Meeting assessed some of the rapidly occurring changes in health care related to new diagnostic and treatment tools, emerging genetic insights, the developments in information technology, and healthcare costs, and discussed the need for a stronger focus on evidence to ensure that the promise of scientific discovery and technological innovation is efficiently captured to provide the right care for the right patient at the right time. As new discoveries continue to expand the universe of medical interventions, treatments, and methods of care, the need for a more systematic approach to evidence development and application becomes increasingly critical. Without better information about the effectiveness of different treatment options, the resulting uncertainty can lead to the delivery of services that may be unnecessary, unproven, or even harmful. Improving the evidence-base for medicine holds great potential to increase the quality and efficiency of medical care. The Annual Meeting, held on October 8, 2007, brought together many of the nation's leading authorities on various aspects of the issues - both challenges and opportunities - to present their perspectives and engage in discussion with the IOM membership.
Download or read book Data Interpretation for Medical Students written by Paul Hamilton K. and published by . This book was released on 2017 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Download or read book To Err Is Human written by Institute of Medicine and published by National Academies Press. This book was released on 2000-03-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts estimate that as many as 98,000 people die in any given year from medical errors that occur in hospitals. That's more than die from motor vehicle accidents, breast cancer, or AIDSâ€"three causes that receive far more public attention. Indeed, more people die annually from medication errors than from workplace injuries. Add the financial cost to the human tragedy, and medical error easily rises to the top ranks of urgent, widespread public problems. To Err Is Human breaks the silence that has surrounded medical errors and their consequenceâ€"but not by pointing fingers at caring health care professionals who make honest mistakes. After all, to err is human. Instead, this book sets forth a national agendaâ€"with state and local implicationsâ€"for reducing medical errors and improving patient safety through the design of a safer health system. This volume reveals the often startling statistics of medical error and the disparity between the incidence of error and public perception of it, given many patients' expectations that the medical profession always performs perfectly. A careful examination is made of how the surrounding forces of legislation, regulation, and market activity influence the quality of care provided by health care organizations and then looks at their handling of medical mistakes. Using a detailed case study, the book reviews the current understanding of why these mistakes happen. A key theme is that legitimate liability concerns discourage reporting of errorsâ€"which begs the question, "How can we learn from our mistakes?" Balancing regulatory versus market-based initiatives and public versus private efforts, the Institute of Medicine presents wide-ranging recommendations for improving patient safety, in the areas of leadership, improved data collection and analysis, and development of effective systems at the level of direct patient care. To Err Is Human asserts that the problem is not bad people in health careâ€"it is that good people are working in bad systems that need to be made safer. Comprehensive and straightforward, this book offers a clear prescription for raising the level of patient safety in American health care. It also explains how patients themselves can influence the quality of care that they receive once they check into the hospital. This book will be vitally important to federal, state, and local health policy makers and regulators, health professional licensing officials, hospital administrators, medical educators and students, health caregivers, health journalists, patient advocatesâ€"as well as patients themselves. First in a series of publications from the Quality of Health Care in America, a project initiated by the Institute of Medicine
Download or read book Sharing Clinical Trial Data written by Institute of Medicine and published by National Academies Press. This book was released on 2015-04-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
