Description
Clinical content informatics change requests can overwhelm information technology support and development teams. We developed and implemented a prioritization algorithm for order set and decision support content requests using a consensus rank and multi-criteria decision analysis (MCDA) approach. Other institutions may use this decision model or follow the outlined steps to create a model based on local preferences.
Learning Objective: After participating in this session, the learner should be better able to formulate an approach to prioritizing informatics change requests that aligns with organizational preferences and resources.
Authors:
Randall Grout (Presenter)
Indiana University
Dan Seitz, Eskenazi Health
Justin Morea, Eskenazi Health
Presentation Materials: