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Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment
Sponsor: University of Florida
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.
Official title: Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment (IDEALIST)
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2016-10
Completion Date
2028-11
Last Updated
2025-12-05
Healthy Volunteers
No
Conditions
Interventions
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.
Locations (2)
UF Health
Gainesville, Florida, United States
UF Health Jacksonville
Jacksonville, Florida, United States