Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment

Running, not enrolling

Conditions studied: Postoperative Complications

In brief

Brief Summary: The goal of this study is to implement and test an intelligent perioperative system (IPS) that in real-time predicts risk for postoperative complications using routine clinical data collected in electronic health records. The accuracy of computer-generated risk scores will be compared to physician's risk scores for the same patients. Physicians will be also asked to provide the opinion regarding the computer-generated risk scores using interactive interface with the program. The information regarding the risk scores performance will be collected during the two 6-month periods. The accuracy of IPS and physicians will be compared at the end at those two time periods.

Key facts

Study ID

NCT02741986

Run by

University of Florida

People needed

200

Starts

2016-10-01

Expected to finish

2028-11-01

Last updated by the study team

2025-12-05

Who can join

Age: 18 and older, up to 100. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Surgeons and anesthesiologists working in adult inpatient operative practices.

You may not qualify if…

• Surgeons and anesthesiologists working in obstetric and pediatric practices.

Where it is running

• UF Health — Gainesville, Florida, United States
• UF Health Jacksonville — Jacksonville, Florida, United States

Full record on ClinicalTrials.gov

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