Description
This study describes a data-driven approach to validate and refine existing reference information models (IM) with data from multiple health systems. Flowsheet data were analyzed to standardize concepts, definitions, and associated values sets for assessments, goals, interventions and outcomes for pain, genitourinary and falls. The consensus-based IMs represents actual data about nursing work in EHR flowsheet documentation and provide direction for improving the ability to share and compare nursing data.
Learning Objective: After participating in this session, the learner should be better able to:
1. Formulate an approach to validate information models to categorize data to meet future clinical information needs
2. Evaluate an information model designed to support patient-centered research
Authors:
Kay Lytle (Presenter)
Duke University Health System
Bonnie Westra, University of Minnesota
Mary Hook, AdvocateAuroraHealth
Mischa Adams, Allina Health
Dr. Samira Ali, Grand Canyon University
Meg Furukawa, University of California Los Angeles Health,
Steven Johnson, University of Minnesota
Tari Rajchel, North Memorial
Sarah Collins Rossetti, Columbia University Medical Center
Theresa Settergren, Retired
Luann Whittenburg, Bumrungrad International
Presentation Materials: