Technology is being used in the EMR/EHR to get crucial information from the big data found in doctor’s notes, nurses notes, HIE information, comments, and other hospital data feeds to help better patient care and to automate the revenue cycle management process.
Dr. Dan Riskin (double board certified surgeon and CEO) and Anand Shroff (CMO) of Health Fidelity are available for briefings at AHIMA if you are interested in learning more about the transition happening from evidence-based medicine to data-driven healthcare because of technologies like Health Fidelity’s REVEAL Version 2.0.
Leverages Patient Narratives to Convert Data Entry from Manual into a Review Step for Revenue Cycle, Compliance, and Analytics
MENLO PARK, Calif., September 25, 2012 — Health Fidelity, a healthcare big data company and technology leader in clinical natural language processing (NLP), announced today the launch of the latest version of its REVEAL™ product, REVEAL version 2.0.
REVEAL v2.0 fulfills Health Fidelity’s promise of relentless innovation and increased efficiency through revolutionary advances in clinical NLP. REVEAL now offers support for ICD-9, ICD-10, SNOMED, RxNorm, LOINC, and CPT-4, all derived automatically from content already captured within clinical narrative notes. Staying ahead of the curve as the clinical NLP technology leader, Health Fidelity offers REVEAL as a web service that can be instantly tested and rapidly integrated. Powering applications in revenue cycle, ICD-10 conversion, meaningful use, accountable care, and analytics, REVEAL dramatically improves an HIT vendor’s operation by automatically populating content for review instead of requiring doctors and hospitals to manually enter extensive documentation.
“Health Fidelity has strengthened its industry-leading position by allowing applications to move away from legacy systems of dropdowns, lists, and check boxes,” said Dan Riskin, CEO and co-founder of Health Fidelity. “REVEAL v2.0 represents the next generation of data analytics and a fresh solution for liberating busy physicians and increasingly pressured healthcare organizations from the manual burdens underlying revenue cycle, compliance, and quality improvement. REVEAL v2.0 offers the opportunity to make the computer support patient care, rather than patient care support the computer.”
REVEAL v2.0 represents a next generation approach to clinical NLP, providing a broad expansion of capabilities to deliver faster, more accurate and more robust extracted information, resulting in better patient care. Innovations and new capabilities in REVEAL v2.0 include a full clinical model, robust schema expansion, and commercial grade terminology mediation. These features, offered through an instantly ready and scalable web service, reduce the time required to empower downstream applications from years with other NLP systems to months with REVEAL.
Health Fidelity REVEAL offers the ability to extract information from clinical narratives, empowering solution partner applications to bypass manual workflow and automatically solve the most challenging problems in revenue cycle management, compliance, and analytics. By leveraging world-leading clinical NLP technology, solution partners leapfrog competition while maintaining focus on their applications and business.
About Health Fidelity
Health Fidelity, Inc., based in Menlo Park, Calif., is a healthcare big data company providing unstructured data solutions. Offering the longest standing clinical NLP technology with the most peer-reviewed literature and scientific citations, Health Fidelity provides the world’s most accurate, reliable and studied NLP technology for healthcare. Health Fidelity partners with HIT solution partners and leading health systems to enable healthcare organizations to utilize the 80% of unstructured medical data that resides in narrative notes and is rarely used in healthcare applications. Health Fidelity’s secure cloud-based integration enables real-time automated extraction and encoding of unstructured information for analytics, regulatory compliance, electronic medical records, transcription, revenue cycle management, and other critical applications. As a result, physicians and hospitals can make better medical decisions, monitor and improve the quality of care, and drive operational efficiency, thus accelerating the path to data-driven healthcare.