Disease management (DM), which has been around since the 1970s and became more prevalent with the advent of managed care, was designed to improve patient quality of life. By helping to ensure continuity of care and equipping patients with education and resources to better self-manage their conditions, people with chronic disease were shown to have better outcomes than those who did not participate in disease management programs.

Here is where the data question comes in.

Payers need timely, accurate, complete clinical data to help inform disease management programming, to determine which members will get the most benefit from disease management, and at what point in their disease progression.

The challenge lies in the data quality and completeness gap.

Complete, reliable data can achieve savings by:

  • Helping to identify the true total population who can benefit from DM programs
  • Improving Star ratings and HEDIS measures
  • Identifying members whose labs serve as early indicators that they may in the early stages of disease
  • Tracking DM program participant progress
  • Eliminating chart chasing
  • Improving adherence and informing providers of trends in their population

Discover how Verinovum's data curation process increased a major regional payer's lab data usability by 63%.

Download our white paper, 'Data quality and successful disease management programming: What's the connection?'











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