Pregled bibliografske jedinice broj: 1201743
Semantic Constraints Specification and Schematron-Based Validation for Internet of Medical Things’ Data
Semantic Constraints Specification and Schematron-Based Validation for Internet of Medical Things’ Data // IEEE Access, 10 (2022), 65658-65670 doi:10.1109/access.2022.3182486 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1201743 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Semantic Constraints Specification and Schematron-Based Validation for Internet of Medical Things’ Data
Autori
Koren, Ana ; Jurcevic, Marko ; Prasad, Ramjee
Izvornik
IEEE Access (2169-3536) 10
(2022);
65658-65670
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Central health information system, eHealth Services, electronic health record, internet of medical things, healthcare standards
Sažetak
Fitness and activity trackers are hugely popular wearable devices that monitor various health-related metrics, such as step count, heartbeat rate, or even oxygen saturation. Utilizing personal health information obtained by users’ personal trackers provides promising results in the fields of telemedicine and personal well-being. However, we face challenges such as data quality, privacy and compliance with standards and regulations. This paper addresses such challenges, with the focus on the last one. Semantic constraints for healthcare datatypes are defined to ensure compliance with standards, making the information medically valid and relevant. A process of semantic verification and Schematron-based validation is proposed. The validation process suggested in this paper will enable the data to be transferred and incorporated into a formal Electronic Health Record. The process is then verified using datasets containing various health-related data types. The aim is to integrate personal health data into Electronic Health Record, which forms a part of Central Health Information System. This would provide personalized medical services to patients and help physicians to make more informed decisions.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Ericsson Nikola Tesla d.d.
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus