Care Management Blog

So much of a health plan’s business and operational structure revolves around risk and revenue.

Physician practices, payors, and health system leaders rely on key performance indicators (KPIs) to achieve their clinical, financial, and operational goals.

Data analytics is no longer a luxury for physician groups, at-risk provider organizations, care management service providers, home health agencies, and large health systems. It’s a clinical and business necessity.

Healthcare data integration and interoperability are ever-increasingly popular buzzwords within the healthcare ecosystem, but how do they affect your practice and your patients’ care? Why do they matter and what do they even mean in practical measures?

Value-based care requires providers to meet specific quality performance metrics. Failure to do so can negatively impact financial reimbursements and disappoint patient expectations. But even with these penalties, some organizations struggle to adopt this approach to primary care, as the course to do so isn't always straightforward.

Healthcare will innovate through data analytics.

Clinical efficiency is vital to cutting costs for healthcare organizations and improving outcomes for patients, especially when implementing value-based care. But knowing where and how to streamline operations can be difficult within a complex system.

Your practice or organization has collected a lot of data. From your patients, your staff, and your operations. And all of that information holds intelligence, interpretations, or answers to questions you may not even think to ask. Like, what?