Hospitals are actively pursuing the elimination of harm events as a means to improve safety, care, and more traditional outcome measures. Our health system has transitioned harm measurement to being electronically labeled when patients are still inpatients. They are updated nightly and could potentially be used in predictive modeling. We sought to establish the predictive values of these measures on quality and resource metrics like mortality and readmission.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: After participating in this session, the participants should be able to understand our health system’s innovative approach that can identify and label in-hospital harm events for hospitalized patients. Also, this study can help the participants understand the risk factors associated with mortality and readmission and how to target high-risk patients for early intervention.
Wan-Ting Su (Presenter)
Henry Ford Health System
Indra Adrianto, Henry Ford Health System
Jack Jordan, Henry Ford Health System
Jessica Haeusler, Henry Ford Health System
Ilan Rubinfeld, Henry Ford Health System