Using Electronic Health Records for Better Care

In the era of Electronic Health Records, it’s possible to examine the decision outcomes made by doctors and identify patterns of care by generating evidence from the collective experience of patients.

In this webinar, Stanford Assistant Professor Nigam Shah will show you methods that transform unstructured patient notes into a de-identified, temporally ordered, patient-feature matrix. Four use-cases will be examined, which use the resulting de-identified data matrix to illustrate the learning of practice-based evidence from unstructured data in electronic medical records.

This webinar will teach you the practical value of:

• Monitoring for adverse drug events
• Identifying drug-drug interactions
• Profiling the safety of off-label drug usage
• Generating practice-based evidence for difficult-to-test clinical hypotheses.

Introduction.
Stanford Big Data: Using Electronic Health Records for Better Care.
Evidence-Based Medicine in the EMR Era.
Profiling risk factors for chronic uveitis.
From CDW to patient feature matrix.
Juvenile Idiopathic Arthritis and Uveitis.
Personalizing Evidence.
Green button - Patients like mine.
Quality metrics.
True Nature of Emergent Care.
Drug-safety.
Overall Performance.
Investigating PPI safety.
New discovery or false positive?.
GenePAD cohort.
Summary.
Acknowledgements.