Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment
NCT02741986 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-12-05
Summary
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.
Conditions
- Postoperative Complications
Interventions
- OTHER
-
Risk estimation
Physicians will be asked to provide their risk scores (ranging from 0 to 100) for postoperative complications prior to surgery and immediately after the surgery for the same patients that IPS is producing the scores. Physicians will provide scores both before and after reviewing the risk scores produced by the IPS. The IPS system will generate risk scores (ranging from 0 to 100) for postoperative complications prior to surgery and immediately after the surgery for patients taken care by the physicians enrolled in the study.
Sponsors & Collaborators
-
National Institute of General Medical Sciences (NIGMS)
collaborator NIH -
University of Florida
lead OTHER
Principal Investigators
-
Azra Bihorac, MD · University of Florida
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2016-10-31
- Primary Completion
- 2028-11-30
- Completion
- 2028-11-30
Countries
- United States
Study Locations
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