| Registry | NCT07217808, acronym PRECISE-AKI |
|---|---|
| Status | Not yet recruiting |
| Phase | Not applicable |
| Study type | Interventional; non randomized, crossover, masking: single, other |
| Enrollment | 60 (Estimated) |
| Sponsor | VA Office of Research and Development (Fed); collaborators: VA Tennessee Valley Health Care System, Vanderbilt University Medical Center |
| Conditions | Acute Kidney Injury (AKI) |
| Interventions | PRECISE-AKI Clinical Decision Support Tool (Other) |
| Dates | start 2028-01-01 (estimated), primary completion 2028-12-31 (estimated), completion 2029-06-30 (estimated), first posted 2025-10-16, last updated 2025-10-16 |
| Locations | 1 site in United States |
Related Papers Related Patents Related Grants Related Experts
All trials for Acute Kidney Injury (AKI) All trials of PRECISE-AKI Clinical Decision Support Tool
Acute kidney injury (AKI) affects up to 20% of hospitalized Veterans and is strongly associated with morbidity and death. AKI is a diverse condition and timely and accurate diagnosis of the type of AKI is critical to begin appropriate therapies, especially those causes that require specific treatments beyond general supportive care. Yet, there are still significant gaps in the initial evaluation of AKI among hospitalized patients. Clinical decision support systems (CDSS) have shown promise to address these barriers, but most consist of simple alerting schemes and general care recommendations provided at a single point in time. The goal of this proposal is to develop and test the feasibility and usability of a rule-based and Artificial Intelligence-assisted precision CDSS tool (PRECISE-AKI) that can provide cognitive support to improve timely initial diagnostic evaluation of AKI.
Acute kidney injury (AKI), defined as a sudden loss of kidney function, affects up to 20% of hospitalized Veterans and is strongly associated with chronic kidney disease, poor quality of life, and death. Clinical practice guidelines recommend timely identification of the cause of AKI, but gaps remain in conducting the initial and subsequent diagnostic evaluation. Some causes of AKI also require specific treatments beyond supportive care, can be challenging to diagnose, and can require even more detailed evaluation including kidney biopsies. This clinical trial will evaluate the usability and feasibility of an Artificial Intelligence (AI)-assisted automated and comprehensive precision CDSS tool (PRECISE-AKI) to provide iterative cognitive support of general and nephrology-based providers in the diagnostic evaluation of hospitalized patients experiencing AKI within the Tennessee Valley Health Systems (TVHS). The investigators hypothesize that PRECISE-AKI will be acceptable, appropriate, and feasible to a variety of users and improve the diagnostic evaluation of hospitalized patients AKI.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Control (Usual Care) | No intervention | The Control arm will consist of usual care with no additional clinical decision support tool guidance | |
| PRECISION AKI Clinical Decision Support | Experimental | Other: PRECISE-AKI Clinical Decision Support Tool | The Intervention arm will consist of Clinical Decision Diagnostic Support (CDS) provided by the PRECISE-AKI tool |
Sex: All, ages: 18 Years to any
Inclusion Criteria: * Eligible providers will be those that have at least 4 weeks of inpatient ward team or consultation team activity during a 12-month period. * Case inclusion criteria will consist of hospitalizations that meet criteria for Kidney Disease Improving Global Outcomes Stage 2 injury or persistent Stage 1 injury seen by eligible providers. Exclusion Criteria: * Ineligible providers will be those that have < 4 weeks of inpatient ward team of consultative team activity during a 12 month period. * Hospitalizations with non-persistent (<48 hours) stage 1 injury or less.
| Facility | City | Country | Status |
|---|---|---|---|
| Tennessee Valley Healthcare System Nashville Campus, Nashville, TN | Nashville, Tennessee | United States |