The Situation

Biome Drives Superior Performance.

Cardiovascular (CV) disease afflicts more than 11% of the US population and is the leading cause of death for both men and women.  Hospitals and doctors treating these patients face unprecedented challenges driven by increasing volume, disruptive new procedures, greater competition, and the transition to “value-based” care.  To confront these challenges clinical and administrative teams need trusted data and clinically relevant insights.

Because cardiovascular care is highly nuanced, one-size-fits-all analytic solutions lack the precision required to engage clinicians while internal analytics teams are stretched thin, lack domain expertise, and struggle to stay current with changing practices.

The common ground shared by practitioners and administrators alike is a desire to deliver the highest quality of care to more patients at a lower cost. To do so, doctors and hospitals need to work together more effectively around a trusted fact base where they can review insights relevant to each according to their given measures.

To drive transformation, you first focus on performance improvement using insights derived from refined, precise, and trustworthy data.

Physicians who receive relevant insights in the right context will improve measures for performance.
Administrators who receive relevant insights will improve measures for compliance.

It’s really all about incentives and what works as best practice at your facility while reducing unnecessary variation and improving safety, quality, and patient outcomes.

Doctors and hospitals want to deliver the best quality of care yet face unprecedented challenges which are measured differently but tied to quality and cost.

To address this problem, you must focus on:

  1. Addressing the alignment of incentives
  2. Setting goals for performance measures
  3. Providing a trusted database with insights that matter

Biome uses an organization’s evidence-based best practice protocols for high-priority clinical CV processes and provides for the tracking of variation and impact on patient outcomes.