Through a research grant funded by the Informatics Technology for Cancer Research (ITCR) program of the US National Cancer Institute, the University of Utah Health system has implemented a population health management platform using a FHIR and CDS Hooks-based clinical decision support (CDS) system to identify and manage patient populations at risk for familial breast, ovarian, or colorectal cancer. The system is currently being piloted and is providing valuable insights for full scale deployment. In this demonstration, the leaders of this effort will describe in detail how the system is being used to manage patients, how the system has been architected, including the standards used, lessons learned so far, and future plans to deploy to multiple sites.
Learning Objective: The speakers, who are national leaders in standards-based CDS innovations, will describe (i) population health management workflow for patients with familial cancer risk; (ii) the family history-based criteria and algorithm logic; (iii) performance optimizations that were made to make population analysis using CDS Hooks viable; (iv) preliminary results of the pilot study; (v) ongoing efforts to integrate the PHM platform with Epic at New York University (NYU) and Cerner at Intermountain Healthcare; and (vi) a discussion of challenges and opportunities for future research leveraging the PHM platform.
Richard Bradshaw (Presenter)
University of Utah
Kensaku Kawamoto, University of Utah
Guilherme Del Fiol, University of Utah