Validation and Implementation Design of an Epic Systems 30-day Unplanned Readmission Risk Model
NCT05413889 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 68
Last updated 2023-12-29
Summary
The objective is to assess the implementation of a computerized clinical decision support (cCDS) tool for identifying patients at high risk of unplanned readmission who could benefit from existing care programs aimed at reducing readmissions
Conditions
- Unplanned Hospital Readmissions
- Patients at High Risk of Unplanned Readmission
Interventions
- BEHAVIORAL
-
Epic 30-day unplanned readmission risk score
If a patient is identified as having a high risk of readmission defined as readmission risk \>20%, a link to transitional and supportive care services (TSC) will be appear in the story board.
Sponsors & Collaborators
-
Wake Forest University Health Sciences
lead OTHER
Principal Investigators
-
Donna Williams, MD · Wake Forest University Health Sciences
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-02-02
- Primary Completion
- 2023-08-15
- Completion
- 2023-08-17
Countries
- United States
Study Locations
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