Real-time NOMA Evaluation

Study overview

Alerts related to outlier clinician behavior are generated in real-time by an intelligent system continuously scraping EHR (electronic health record) data. These alerts are passed to the bedside and their potential impact on bedside clinical behavior is evaluated.

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

For general information about clinical research, read Learn About Studies.

Collaborators and Investigators

David T Huang,

David Huang, MD, PRINCIPAL_INVESTIGATOR, University of Pittsburgh

Study Record Dates

2027-06-30