Introduces students to the rapidly evolving field of precision medicine and the role of big data analytics in improving patient care, clinical decision making, and population health management. Provides access to the Johns Hopkins Precision Medicine Analytics Platform (PMAP) and learn how the infrastructure is built to support clinical research by integrating data from multiple research and clinical information systems such as the enterprise wide electronic medical record (EMR). Allows students access to a de-identified EMR curated dataset of 60k patients with a diagnosis of Asthma. Utilizes Python and Jupyter notebooks for analyzing EMR data. The PMAP cookbook of Jupyter notebook recipes and Datacamp accounts will be provided for students.
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Topics:
- overview of the full lifecycle of a learning health system
- data elements needed to address problems
- how to determine the right analysis tools
- how to take algorithms and deploy in the clinical setting as a clinical decision support application