Better Data, Better Analytics, Better Healthcare
Rapidly changing reimbursement models that are tied to value lead to Value Based Initiatives. These initiatives cut across function (i.e. quality and finance), across provider (acute, primary, specialty, rehabilitative, and long term care), across the care continuum (episode, a patient's life, and population), and are more complex than what analytics tethered to individual clinical and financial systems addresses.
Making the transition to Value Based Reimbursement (VBR) is difficult because the data required to enable these initiatives comes from systems that were never meant to work together. Numerous reports cite the poor state of data integration, data quality, and data governance as the toughest obstacle to healthcare transformation.
When you peel back the layers, the information integration need is daunting. Most health networks work with disparate data across their care settings. Some have single EMRs, others have multiple EMRs, but all need to marry clinical and financial data. Factor in device data, lab data, SNF data, surveys, registries, benchmarks, home health, and the big data problem expands exponentially.
The lack of true integration leads to patient matching errors, productivity loss, higher costs, and poor patient care. Patient Matching represents only the tip of the Iceberg. Incomplete or worse, inaccurate clinical data due to medical terminology, Code Chaos, and inconsistent medication lists lead to very choppy waters, causing waste and even costing lives.
To learn how Information Builders helps healthcare organizations navigate these choppy waters, don't miss our whitepaper, “Seven Key Challenges in the Move to Value-Based Care: Ensuring Patient-Centered Care with Information Management.” Inside we delve into further detail about these challenges and provide strategies to address them.