13 Atypical Point of View on Semantic Computing in Healthcare
L. Mayuri1* and K. M. Mehata2†
1Health Informaticist, Chennai, India
2Director (Sponsored Research), VIT-AP University, Andhra Pradesh, India
Abstract
Medical information systems are built using good engineering concepts. It outperforms its competitors when it comes to recording detailed and sophisticated data. This chapter examines recent improvements in medical terminology tools and its application methodologies for semantic reasoning and healthcare interoperability.
Health information is multifaceted, sensitive, and siloed. Medical terminology systems are designed to promote semantic interoperability across different healthcare information systems. Due to data granularity requirements, current reference terminology mapping solutions that enable semantic interoperability of data between health systems are heavyweight. They are difficult to use and maintain for health professionals. They are not fit for usage by non-clinical or non-experts. Patients who were once passive are now active consumers. Understanding and integrating consumer health languages can help healthcare consumers and professionals better communicate.
The rapidly growing interdisciplinary field of healthcare analytics attempts to provide semantically standardized language to help clinical decision support systems and related technology make positive advances. Despite recent advances, a comprehensive terminology system that accommodates all clinical ...
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