SmartAlert: Integrating Machine Learning and Alert Triggers into Live Electronic Medical Record Systems, Targeting Low-Yield Inpatient Lab Tests

Presentation Time: 10:00 AM - 10:15 AM

Abstract Keywords: Informatics Implementation, Machine Learning, Clinical Decision Support
Primary Track: Applications
Programmatic Theme: Clinical Informatics

This study explores integrating machine learning into electronic medical record systems to predict stability of inpatient lab tests. A 'smart alerts' system was developed and tested at Stanford Hospital. The system identifies stable lab results, advising clinicians on test ordering. Live deployment showed desired precision at good recall in predicting test result stability, with suggestions for system optimization identified. This approach may significantly decrease low-yield testing and enhance personalized clinical decision-making.

Speaker(s):
Yixing Jiang, PhD student
Stanford

Author(s):
Yixing Jiang, PhD student - Stanford; Stephen Ma, MD, PhD - Stanford University School of Medicine; April Liang, MD - Stanford University; Grace Kim, BS - Stanford; Aakash Acharya, NA - Stanford Health Care; Sreedevi Mony, NA - Stanford Health Care; Soumya Punnathanam, NA - Stanford Health Care; John Makeown, NA - Stanford Health Care; Jeya Jose, PhD - Stanford; Lisa Shieh, PhD - Stanford Health Care; Tho Pham; Andrew Y. Ng, PhD - Stanford; Jonathan Chen - Stanford University Hospital;