Mappings drive clinical usability, promote interoperability, and advance value-based care
Medicomp Systems, a physician-driven provider of diagnostically connected patient data solutions, announced today that it now has directly mapped over 10 million clinical codes and concepts across more than 12 terminologies to its MEDCIN clinical relevancy engine, helping clinicians quickly find patient-and-problem-specific information at the point of care and efficiently and accurately capture data for value-based care initiatives.
Terminology mapping in healthcare refers to the process of aligning different medical terminologies or coding systems to ensure that they correspond and can be seamlessly interpreted and used across systems. Medicomp now has more than 10 million mappings to foundational structures such as ICD-10-CM, CPT-4, LOINC, SNOMED-CT, RxNorm and other coding systems used for clinical documentation and billing which can be diagnostically filtered through MEDCIN, Medicomp’s normalized clinical interface terminology at the heart of its clinical relevancy engine.
The filtered data can be used for multiple downstream purposes such as care coordination, value-based payment, and quality reporting. While providers often use a variety of terminology standards, inconsistent use of standards across organizations hamper interoperable data exchange and create challenges when capturing and reporting data for electronic clinical quality measures (eCQMs), the management of Medicare Advantage patients using hierarchical condition categories (HCCs), and similar requirements. These mappings can also be leveraged to dramatically increase accuracy of coding and structured clinical documentation using AI and NLP technologies.
“This milestone is the culmination of 45 years of dedication and focus on the part of the Medicomp team and reflects our mission to keep ahead of healthcare’s most vexing data-related challenges,” said Medicomp CEO David Lareau. “Mapping is critical for interoperability and continuity of care, where data-driven, personalized care can be seamlessly delivered across a connected network of providers. Comprehensive mapping not only streamlines operations but, more crucially, will directly lead to better patient outcomes. Medicomp continues to focus its efforts on making data more accessible and usable for providers, expanding the clinically intelligent links, including genetic data, to help make AI a true interoperability enabler.”
Quippe uses Medicomp’s unique patented clinical relevancy engine that includes an intelligent clinical database to support accurate documentation and prompting of relevant information at the point of care. The engine filters standard terminologies and code sets, including ICD-10, CPT, LOINC, SNOMED CT, RxNorm, DSM5, CTCAE, UNII, CCC, HCPCS, CVX, and others, leveraging the mappings detailed above in conjunction with the diagnostic relevancy links in the engine.
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