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Stanford University

Using Electronic Health Records for Better Care

Stanford University via YouTube

Overview

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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.

Syllabus

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.

Taught by

Stanford Online

Reviews

5.0 rating, based on 3 Class Central reviews

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  • Ismail Dawodu
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  • Twinkle Patel
    It was so useful and informative and easy words and understand all the basic concepts the way that explains the things ar really worth doing this course
  • Saif Ali Saleh Mohammed Alabdali
    It is one of the best courses that have been Learning it. So Thank you so much for that I decided to learn more of it

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