Case Study
Corewell Health Slashes DKA Costs by Nearly $1M in 18 Months

The Customer
Corewell Health West, a leading academic healthcare system in Michigan, has used EndoTool IV since 2009 to improve inpatient glycemic management. In response to a 20% rise in Diabetic Ketoacidosis (DKA) admissions that mirrored national trends, Corewell conducted a retrospective analysis to quantify the value of EndoTool IV for high-acuity DKA patients.
The Challenge
Corewell faced rising DKA admissions and sought to understand how well their glycemic management strategy was holding up:
- Could EndoTool continue to deliver strong outcomes in high-acuity, high-cost cases
- Was EndoTool reducing hospital length of stay (LOS) and mortality while maintaining safety
- Was it delivering financial ROI per patient?
Key Findings
Actual outcomes surpassed expected outcomes at Corewell Health West:
Metric | Corewell Actual Outcomes | Expected Outcomes | Impact |
---|---|---|---|
Length of Stay | 5.15 days | 5.82 days | 514 hospital days saved |
Mortality | 2.3% | 3.2% | 6 fewer deaths |
Cost per DKA Patient | $8,125 | $9,329 | $1,204 saved per patient |
Severe Hypoglycemia | 0.006% | Not measured | Virtually eliminated |
ICU Utilization | 85% | 49% | High-acuity care, delivered efficiently |
The Study
A retrospective review evaluated DKA patients treated between January 2023 – June 2024. Outcomes were compared against Vizient’s risk-adjusted expected values and a national benchmark group of 115 academic medical centers.
Clinical and Financial Wins
- 514 hospital days saved across DKA population
- $912,298 in total cost savings, driven by faster recovery and fewer complications
- $1,204 saved per DKA patient on average
A Proven Strategy for High-Acuity Glycemic Management
By applying patient-specific insulin dosing through EndoTool IV, Corewell Health West achieved:
- Safer, faster recoveries for DKA patients
- Reduced mortality and severe hypoglycemia
- Meaningful financial savings and capacity gains
This case study illustrates how clinical decision support that adapts in real time to patient physiology can reduce variability, improve outcomes, and deliver system-wide ROI, especially when managing complex, high-risk patients.
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