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NCT02741986 · ClinicalTrials.gov registry record
Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment
A clinical trial of Postoperative Complications, sponsored by University of Florida.
- Active
- Registry status
- 200
- Enrollment target
- 2
- Study locations
NCT02741986 is a study of Postoperative Complications that is active but no longer recruiting, run by University of Florida. The registered enrollment target is 200 participants, below the 375-participant average among 17 other Postoperative Complications trials with a reported enrollment target (47% lower). The trial reports 2 study locations across 1 state.
The verdict
NCT02741986, a study of Postoperative Complications, is active but no longer recruiting, sponsored by University of Florida.
- ACTIVE NOT RECRUITING
- Registry status
- 200 participants
- Enrollment target
- 2
- Study locations
Study 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 Studied
Interventions
- OTHER Risk estimation
Study Locations (2)
Florida
- UF Health - Gainesville
- UF Health Jacksonville - Jacksonville
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 200 participants |
| Start Date | 2016-10 |
| Est. Completion | 2028-11 |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT02741986
The ClinicalTrials.gov registry entry for NCT02741986 describes a study currently listed as active not recruiting, categorized as an unspecified phase. The registered enrollment target is 200 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 375-participant average among 17 other Postoperative Complications trials with a reported enrollment target (47% lower). The listed sponsor is University of Florida, which has 1,106 total studies on file at ClinicalTrials.gov.
The record links to 1 condition, with Postoperative Complications appearing as the primary indexed condition, and to 1 intervention - of which Risk estimation is the first listed.
NCT02741986 reports 2 study locations spanning 1 distinct geographic area - top geographies include Florida.
Frequently Asked Questions
What is clinical trial NCT02741986 about?
NCT02741986 is a clinical study titled "Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment". 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...
What is the current status of trial NCT02741986?
This trial is currently active not recruiting. The enrollment target is 200 participants. The study started on 2016-10. Estimated completion is 2028-11.
What conditions does trial NCT02741986 study?
This clinical trial studies the following conditions: Postoperative Complications.
What interventions are being tested in trial NCT02741986?
The interventions under investigation include: Risk estimation (OTHER).
Who is sponsoring clinical trial NCT02741986?
This trial is sponsored by University of Florida, which has 1,106 total clinical trials registered on ClinicalTrials.gov.
Where is trial NCT02741986 being conducted?
This trial has 2 study locations across Florida. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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Read our methodology - how this data is sourced, computed, and verified.
Related
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