The Challenge: Proactively identify CKD patients to improve outcomes and control costs
When one of New Jersey’s largest independent physician associations (IPA) entered into a value-based care contract, they intensified their focus on identifying and managing their chronic kidney disease (CKD) population with a few goals in mind:
- Improve patient outcomes. While CKD cannot be cured and the damage it causes is irreversible, diagnosing and treating it early can help reduce complications and control disease progression.
- Control total cost of care. Patients with CKD incur at least two times the medical expenditures of non-CKD patients, especially when the disease goes unmanaged and more intensive–and costly–management is required.1
The physician organization wanted to proactively identify high-risk CKD patients and intervene in a timely manner while gaining further insight into their medical management costs within this population. Claims data alone was not sufficient to generate data to achieve this goal.
The Solution: Overlay proprietary data with claims data
The physician organization turned to Labcorp to help compile proprietary analytics, using Labcorp data, to create a more complete and clear picture of CKD within their patient population. Labcorp began by looking at everyone in the physician organization’s patient population with lab testing ordered from any provider over the past two years, then overlaid the result values with claims data to reveal the true state of CKD. A number of key findings emerged from this analysis: