Optimal health and healthcare requires the use of electronic health record systems (EHRs) that provide an integrated view of all data relevant to a patient, a comprehensive care plan, and decision support. Today’s EHRs fall short in many respects. The Health IT Innovation Collaborative (HII-C) initiative provides a testbed for developing knowledge-driven apps that address these needs in an open, interoperable framework. An app for managing chronic disease patients is the driving use case for current efforts.
Learning Objective 1: To learn about technical desgin flaws present in current electronic health records, understand why these flaws remain, and how we plan to address them.
Learning Objective 2: To understand the requirements necessary for clinical decision support systems to operate effectively based on the clinical environments they are used in, and learn what the successful implementation of a clinical decision support system is capable of.
Austin Michne (Presenter)
Arizona State University
Andrew Solomon, Arizona State University
Yael Ozair, Arizona State University
Kaan Aksoy, Arizona State University
Paea LePendu, Arizona State University
Robert Greenes, Arizona State University