Summary
Chapters
Video Info
Summary
Paul Taylor, PhD, Reader at the Institute of Health Informatics University College London, discusses the use of real-world medical data in health research, including how health care data differs from other big data, how researchers can access health data, implications of data ownership and consent, types of data used in medical research, methodological challenges working with large-scale medical data, integration of health data with traditional randomized trials, examples of recent big health data research, patient privacy concerns, and new big data sources for medical research.
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Chapter 1: How does Health Care Data Differ From Other Big Data?
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Chapter 2: How do Researchers Access the Clinical Research Practice Datalink? How does Data Linking Function With Multiple Sources of Health Data?
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Chapter 3: What are Some of the Implications of Data Ownership and Consent in Medical Research?
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Chapter 4: What Different Types of Data are Used in Medical Research?
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Chapter 5: What are Some Methodological Challenges of Working With Medical Data at a Large Scale?
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Chapter 6: How do You Deal With Missing Data?
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Chapter 7: How can Big Health Data be Integrated With More Traditional Randomized Controlled Trials?
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Chapter 8: What are Some Examples of Recent Big Health Data Research, and Why are They Controversial?
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Chapter 9: What Concerns are There Around Linking Health Data and Patient Privacy?
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Chapter 10: What Steps Should be Taken to Anonymize Data to Ensure it Can't be Re-identified?
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Chapter 11: What New Big Data Sources are Becoming Available for Medical Research?
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