April 29, 2024
3 minute read
Healthcare Practitioners are responsible for providing patient care, including diagnosing and treating illnesses and injuries, prescribing medications, and providing preventive care. They can work in a variety of settings, including hospitals, clinics, private practices, and nursing homes.
What does a Healthcare Practitioner do?
The duties of a Healthcare Practitioner can vary depending on their specialty and work setting. However, some common tasks include:
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Find a path to becoming a Healthcare Practitioner. Learn more at:
OpenCourser.com/career/b25im4/healthcare
Reading list
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This comprehensive and authoritative guide to understanding and applying evidence-based medicine. It provides detailed methods for critically appraising medical literature across various study designs. Widely considered a foundational text and valuable reference tool for students and professionals seeking to deepen their understanding of EBM principles and practice.
Provides a foundation in clinical epidemiology, which is the science of studying the distribution and determinants of health-related states or events (including disease), and the application of this science to the prevention and treatment of disease.
Provides a comprehensive overview of evidence-based surgery.
A classic introductory text that provides a practical, step-by-step approach to practicing and teaching evidence-based medicine. It is concise and emphasizes direct clinical application, making it ideal for busy clinicians and students. is commonly used as a core textbook in EBM courses and is excellent for gaining a broad understanding.
Is an excellent starting point for anyone new to evidence-based medicine. It clearly explains how to critically appraise published research papers and understand different study designs. It is highly accessible and widely recommended for high school students, undergraduates, and those needing foundational critical appraisal skills.
Provides a comprehensive overview of statistical methods used in medical research.
Provides a comprehensive introduction to the concepts and statistical methods of meta-analysis. It explains the principles behind combining results from multiple studies to synthesize evidence. Useful for those wanting a thorough understanding of the methodology of meta-analysis, a key tool in EBM.
A practical guide for conducting meta-analyses using the statistical software R. It covers essential steps and more advanced topics, making it highly relevant for researchers and graduate students actively involved in performing systematic reviews and meta-analyses. Requires some familiarity with R programming.
Aimed at helping readers understand and critically evaluate clinical research papers, this book covers various study designs and statistical concepts in a relatively accessible manner. It is useful for students and professionals who want to improve their skills in reading and interpreting medical literature.
Provides in-depth coverage of the design, conduct, and analysis of randomized controlled trials (RCTs), a cornerstone of evidence in many areas of medicine. It is valuable for researchers and those who need a deep understanding of how high-quality evidence is generated from clinical trials.
An essential guide for anyone involved in planning or conducting clinical research. While focused on generating evidence rather than solely using it, understanding research design is crucial for critical appraisal in EBM. provides detailed information on various study designs and methodologies.
Introduces statistical concepts and methods relevant to understanding and applying evidence in practice and evaluating outcomes. It helps build the necessary statistical literacy to critically appraise the quantitative data presented in research studies. Useful for students and practitioners needing to strengthen their statistical foundation for EBM.
Summarizes landmark clinical trials that have significantly shaped medical practice and underpin much of evidence-based medicine. It provides accessible overviews of key studies across various medical specialties, offering valuable context on the historical development and foundational evidence of EBM.
Provides a concise introduction to the basic principles of evidence-based medicine, including critical appraisal, biostatistics, and epidemiology. It is geared towards new learners and those seeking a fundamental understanding of EBM without extensive prior knowledge. A good resource for gaining a broad understanding at an introductory level.
Focusing on epidemiological principles within a public health context, this book helps build foundational knowledge necessary for understanding population-level health data and research. It is relevant for those interested in applying EBM principles to public health issues and interpreting studies in this area.
Offers a critical examination of the pharmaceutical industry and its impact on medical research and the evidence base. It highlights issues of transparency, bias, and the challenges in obtaining reliable evidence. It's relevant for understanding contemporary issues in EBM and fostering a critical perspective on evidence generation.
Provides a broad introduction to health informatics, a field increasingly intertwined with evidence-based medicine. It covers topics such as electronic health records, data science, and clinical decision support systems. It is relevant for understanding the technological infrastructure and data handling aspects of contemporary healthcare and EBM.
A comprehensive and advanced textbook on Bayesian statistical methods. While not exclusively focused on EBM, Bayesian approaches are increasingly used in medical research and analysis that contribute to the evidence base. is suitable for those with a strong statistical background looking to understand advanced methods relevant to contemporary evidence generation.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/b25im4/healthcare
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