Solving Practical Problems with Healthcare Analytics

Solving Practical Problems with Healthcare Analytics

Solving Practical Problems with Healthcare Analytics

Accurate Information for Personalized, Value-Based Care
In a world of value-based care, healthcare providers must understand the full picture of the patient’s health so they can manage costs and risks while delivering high-quality, personalized care. For providers and payers alike, having the patient’s health conditions accurately and completely coded is crucial to appropriate payment for care ...delivered and risks shared. Patients, who are often responsible for a growing percentage of the costs of their care, also need a clear, complete understanding of their overall health.

But the full picture of a patient’s health is hard to come by. Information is locked in diverse systems with limited interoperability. Electronic health records (EHRs) include only a subset of relevant data, and crucial information is often buried in text-based case notes, scanned documents, and other unstructured data sources.

Adding to the problems, the process of assigning diagnosis codes that capture the patient’s diagnoses is complex, producing results that are fraught with errors and omissions. Diagnosis codes are a key element of risk management, and these gaps and errors can affect clinical decision-making, care delivery optimization, outcomes measurement, reimbursement, and more. Health systems conduct manual chart reviews to increase the accuracy of their coding, but this process itself is expensive and slow, and is usually limited to a fraction of charts.

It’s a significant problem in need of a practical solution.

Enter Apixio, a big data innovator whose breakthrough platform automates and optimizes chart reviews.

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