Controlled Medical Terminology Literature Review

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The purpose of this literature review is to explore vast articles in regards to Controlled Medical Terminology in the healthcare industry and its goal to provide medical vocabularies compatible to various applications and usage among healthcare clinicians and consumers. Focusing on the correlation between Electronic Health Record and Controlled Medical Terminology ability to communicate effectively, structured, accurate and consistent with current practice to safe guard patient data for end users. Search Methods The literature are cumulative of qualitative studies and systematic reviews. By way of Overlook Medical Center (OMC) librarian who was extremely helpful in combining and limiting key word searches utilizing OVID MEDLINE, …show more content…

Due to the continuous effort to uniform Controlled Medical Terminology numerous amounts of healthcare professional are tapping into and or required to utilize Electronic Health Records (EHR) in compliance with governing agencies. Controlled Medical Terminology (CMT) creates a template for data exchange and standardization of medical terminologies as a requirement for interoperability. By addressing these issues a uniform solution must follow creating standards that all systems can talk to each other efficiently and surpassing continuity of care and opening fluent communication for patients. Healthcare Code Sets, Clinical Terminologies and Classification Systems are the focus of healthcare professionals transcending between unstructured to structured common language within the realm of Electronic Health Records …show more content…

Two articles (AMIA Symp. (2001), pp. 329-333) and (AMIA Symp. (1999), pp. 107-111) explored the relevance between studies “mediate between user terminology and terminology as it is reflected in a variety of medical information resources.” Various systems inclusive of UMLS, DARE, MEDLINEplus, SNOWMED CT, NLM, MeSH, Planetree Classification, AIRS and CINAHL search terms by means of clinician or consumer. According to Zielstorff (2003) solutions have been developed to solve the consumer vocabulary problem. Intelligent Medical Objects has developed the Personal Health Terminology (PHT) by mapping the most common terms in structured nomenclatures to consumer-friendly synonyms, thus performing a “translating” function. Developing word match, stem search and sound a-like features within search engines enable users to enter one term while populating comparable terms i.e. “nosebleeds” “epistaxis.” An “interface terminology” has been developed by Wellmed (2003) to facilitate the interaction of consumers and patients with professional concepts and information. These reports provide evidence that even when the matching rate is improved with manual extraction, string normalization, coding, and mapping, a significant portion of consumer terms are simply not found in professional nomenclatures. It seems clear that some bridging technology is needed to foster comprehensive bi-directional

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