Using that newly codified information accelerates the time-to-value of several core healthcare challenges: electronic health record (EHR) adoption and use, quality measurement and reporting, care coordination, efficiency and health information exchange (HIE), Riskin said.
Health Fidelity developed REVEAL based upon the understanding that to improve patient outcomes and leverage workflow efficiencies, HCOs must unlock the value of clinical information locked in unstructured form. An estimated 80 percent of these data are trapped within the notes of physicians, nurses and care managers, making it difficult for applications to deliver the full, detailed record of a patient that HCOs need in order to achieve gains in quality, coordination of care, HIE interoperability and accountable care.
Based on more than two decades of NLP experience, many of the earliest clinical NLP patents and extensive peer-reviewed validation, Health Fidelity REVEAL works with knowledge-based terminologies to generate highly granular codified data in a structured, interoperable format. As a cloud-based service, REVEAL accepts a wide range of unstructured clinical data and can produce structured, codified information using industry standard terminologies (e.g., SNOMED). The codified information is made available in both fine and composite granularity within interoperable data structures, enabling that content to be readily consumable in any clinical workflow.
"Data-driven clinical decision making is accelerated when clinicians leverage technology to tap into a complete map of a patient’s health, where every element of a patient’s health is revealed, understood and applied," said Dr. Riskin. "Health Fidelity delivers that capability on a commercial scale, meeting the needs of both application developers and HCOs."
Health Fidelity REVEAL enables applications that help HCOs increase efficiency, enhance care quality and facilitate information exchange through innovations that include automatic extraction of quality and case management metrics, reduced manual coding, real-time access to information, utilization of narrative note content, and predictive modeling in response to a massive increase in data clarified, understood and available for application.
"Healthcare organizations committed to achieving meaningful use, ICD-10 conversion and other quality improvement efforts can capitalize on the data they already have to perform more accurate analytics," Dr. Riskin said. "Doing so will reduce costs, while improving performance, quality and efficiency."
Menlo Park, Calif.
SOURCE Health Fidelity, Inc.