Abstract
Recent developments in society show significant trends in aging population and prevalence of chronic conditions. It is estimated that disruptive demographics related to population of middle-aged and older adults will result in 33% of overall EU population by 2025. Advances in technology created innovative means to support effective management of these challenges through telehealth model for healthcare delivery. In this chapter we introduce decision support in hypertension management with ontology describing the structure of the relevant domain data and analysis of such data using a rule-based system. Telehealth solution provides a ‘complete-loop’ concept for hypertension management with sensor device, mobile, and web-based applications providing means for health status management for both healthcare consumer and healthcare provider.
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Notes
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Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information. It promotes cooridnated use of established standards such as Health Level 7 (HL7).
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Acknowledgements
This work was supported by project CARDINFO (APVV 0513/10) and ERDF projects SMART I (26240120005) and Competence Centre (26240220072).
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Lehocki, F., Kossaczky, I., Homola, M., Mydliar, M. (2017). Computational Infrastructure for Telehealth. In: Xu, D., Wang, M., Zhou, F., Cai, Y. (eds) Health Informatics Data Analysis. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-44981-4_12
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