Patient Clustering to Know Thy Patient

Wednesday, April 19 at 2:30 PM - 3:30 PM CT
South Building, Level 4 | S401

Know Thy Patient is a novel approach and method for patient segmentation and clustering. Using machine learning, patient-centered programs and treatment plans are implemented due to the holistic patient analysis. By integrating and analyzing metrics associated with barriers to healthcare access such as social vulnerabilities, transportation barriers, lack of insurance coverage, and clinical data from the electronic medical record, Parkland Health leaders better understand the community and patient population they serve in the Dallas–Fort Worth area.

Learning Objectives

  • Combine social vulnerability with clinical data to create and subdivide patient clusters
  • Assess patient population's access to healthcare and social needs
  • Compare patient clusters geographically to differentiate health needs
Credits
CME, CNE, ACPE, CPHIMS, CAHIMS, ACHE
Status
Active
Audience
Chief Digital Officer/Chief Digital Health Officer, Clinical Informaticist, Data Scientist
ID
146

Speakers

Albert Karam
Vice President, Data Strategy and Analytics
PCCI
Brett Moran, MD
Senior Vice President, Associate Chief Medical Officer, Chief Medical Informatics Officer
Parkland Health & Hospital System
Yusuf Tamer
Senior Data Scientist
PCCI