ABSTRACT
An important case for successful deployment of a lifetime electronic health record is reuse of clinical data from the electronic health record (EHR) for epidemiology, reimbursement, and research. We report a collaboration between the IHTSDO and the WHO to develop knowledge-based tools supporting translation of data from SNOMED CT to the ICD-10 classification. These tools have been vetted by an international community and are available for system vendors to enhance the interoperability of their products. The maps we created are also informing the development of the next generation of classifications which will employ a common ontology base between SNOMED CT and ICD-11 to promote interoperability.
Subject(s)
Electronic Health Records , International Classification of Diseases/classification , Medical Record Linkage/methods , Natural Language Processing , Semantics , Systematized Nomenclature of Medicine , Terminology as Topic , Artificial Intelligence , Pattern Recognition, Automated/methods , TranslatingSubject(s)
Electronic Health Records/standards , Medical Records, Problem-Oriented/standards , Patient-Centered Care/standards , Physician Incentive Plans/standards , Electronic Health Records/organization & administration , Humans , Patient-Centered Care/organization & administration , Physician Incentive Plans/trends , WorkforceABSTRACT
In addition to technology services required to leverage information technology, qualified knowledge workers familiar with information management acquisition, storage and use and destruction are required to transform the healthcare industry to "next generation" status and capabilities. Sound information management principles for health information content enables less costly, yet more effective results.
