[논문]Application of Standard Terminologies for the Development of a Customized Healthcare Service based on a PHR Platform

Jung, Hyun Jung; Park, Hyun Sang; Kim, Hyun Young; Kim, Hwa Sun

doi:10.33851/jmis.2019.6.4.303

Application of Standard Terminologies for the Development of a Customized Healthcare Service based on a PHR Platform 원문보기

The journal of multimedia information system, v.6 no.4, 2019년, pp.303 - 308

Jung, Hyun Jung (Department of Diagnostics, College of Korean Medicine, Daegu Haany University) , Park, Hyun Sang (BIT Computer co. Ltd.) , Kim, Hyun Young (Depatment of Nursing, Kyungwoon University) , Kim, Hwa Sun (Elecmarvels)

Abstract ▼ AI-Helper

The personal health record platform can store and manage medical records, health-monitoring data such as blood pressure and blood sugar, and life logs generated from various wearable devices. It provides services such as international standard-based medical document management, data pattern analysis and an intelligent inference engine, and disease prediction and domain contents. This study aims to construct a foundation for the transmission of international standard-based medical documents by mapping the diagnosis items of a general health examination, special health examination, life logs, health data, and life habits with the international standard terminology systems. The results of mapping with international standard terminology systems show a high mapping rate of 95.6%, with 78.8% for LOINC, 10.3% for SNOMED, and 6.5% when mapped with both LOINC and SNOMED.

주제어

표/그림 (6)

그림 Fig. 1. Clinical documents for the general health examination.
표 Table 1. Four Groups of international standards for health records [24].
그림 Fig 2. Mapping with SNOMED for a hepatitis B diagnosis result (use of international browser).
표 Table 2. Examples of LOINC mapping for the visual abnormality in general health examination.
표 Table 3. Examples of LOINC mapping for the white blood cell differential count of hematopoietic type in special health examination.
표 Table 4. Mapping rate between the target terminology and standard terminologies.

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

This study aims to develop a foundation for the management of international standard-based medical documents by mapping the diagnosis items of a general health examination, special health examination, life logs, health data, and life habits with the international standard terminology systems for worker-tailored healthcare service.

제안 방법

The two organizations are building closer links between the SNOMED CT and LOINC terminologies, reducing duplication of effort, and making electronic health records more effective at improving health care. By aligning how the two terminologies represent the attributes of laboratory tests and some types of clinical measurements, this collaboration will provide users a common framework within which to use LOINC and SNOMED CT [25].

성능/효과

For the development of a PHR platform-based worker-tailored healthcare service, a total of 184 terms of PHR were mapped with the terminologies of LOINC and SNOMED, and the results showed a high mapping rate of 95.6%. Ten terms were not mapped, which were cases that required specificity because the terms were ambiguous.
Table 4 shows the mapping results for the target terminology. The diagnosis items of a general health examination, special examination, life logs, health data, and life habits were mapped with the international standard terminology systems for the worker-tailored healthcare service, and the results showed that a total of 95.6% items were mapped with the standard terminologies: 78.8% with LOINC, 10.3% with SNOMED, and 6.5% using both.

참고문헌 (25)

Ministry of Employment and Labor (KR), Analysis of industrial accident situation 2017, Sejong, 2018.
KS. Jo, Industrial health: Health care for disadvantaged workers. Seoul (Korea): Korean industrial health association (KR), p. 7-12, 1994.
J. Rantanen, Industrial health: Today and tomorrow of small scale industries in the western Pacific region health services. Seoul (Korea): Korean industrial health association (KR), pp. 7-10, 1994.
10.1787/int_trade-v2017-4-21-en Statistics Korea (KR), Statistics on death cause 2017, Daejeon (Korea), 2018. 10.1787/int_trade-v2017-4-21-en
Health Insurance Review & Assessment Service, National Health Insurance Statistical Year book 2016, National Health Insurance Service (KR), 2017.
Centers for Diseases Control and Prevention (KR), Chronic Diseases Factbook 2018, Cheongju (Korea), 2018.
NJ. Kim, “Relation between employees' life patterns and health conditions,” Korean Journal of Health Education and Promotion, vol. 24, no. 2, pp. 63-75, 2007.
10.1089/met.2009.0008 AB. Schultz, DW. Edington, “Metabolic syndrome in a workplace: Prevalence, co-morbidities, and economic impact,” Metabolic syndrome and related disorders, vol. 7, no. 5, pp. 459-468, 2009. 10.1089/met.2009.0008 19450154

상세보기
CE. Sook, JK. Ja, “The management strategies of metabolic syndrome among workers through the literature review,” Korean Journal of Occupational Health Nursing, vol. 14, no. 2, pp. 138-152, 2005.
10.4338/ACI-2015-12-RA-0180 PA. Khaneghah, A. Miguel-Cruz, P. Bentley, L. Liu, E. Stroulia, M. Ferguson-Pell, “Users’ attitudes towards personal health records,” Applied Clinical Informatics, vol. 2, no. 7, pp. 573-586, 2016. 10.4338/ACI-2015-12-RA-0180 27437062 PMC4941861

상세보기
10.4258/hir.2011.17.1.3 JG. Kim, HJ. Jung, DW. Bates, “History and trends of “personal health record” research in PubMed,” Healthcare Informatics Research, vol. 17, no. 1, pp. 3-17, 2011. 10.4258/hir.2011.17.1.3 21818452 PMC3092992

상세보기
10.2196/jmir.3469 EJ. Lyons, ZH. Lewis, BG Mayrsohn, JL. Rowland, “Behavior change techniques implemented in electronic lifestyle activitymonitors: A systematic content analysis,” Journal of Medical Internet Research, vol. 16, no. 8, p. e192, 2014. 10.2196/jmir.3469 25131661 PMC4147713

상세보기
10.1037/a0016136 S. Michie, C. Abraham, C. Whittington, J. McAteer, S. Gupta, “Effective techniques in healthy eating and physical activity interventions: A meta-regression,” Health Psychol, vol. 18, no. 6, pp. 690-701, 2009. 10.1037/a0016136 19916637

상세보기
10.1080/08870446.2010.540664 S. Michie, S. Ashford, FF. Sniehotta, Su Dombrowski, A. Bishop, DP. French, “A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy,” Psychol Health, vol. 26, no. 11, pp.1479-1498, 2011. 10.1080/08870446.2010.540664 21678185

상세보기
10.1007/s10916-015-0401-5 HS. Park, H. Cho, HS. Kim, “Development of a multi-agent m-health application based on various protocols for chronic disease self-management,” Journal of Medical Systems, vol. 40, no. 1, p. 36, 2016. 10.1007/s10916-015-0401-5 26573657

상세보기
New york (United States of American), Connecting Americans to their health care 2004, Markle Foundation (US), 2004.
10.1016/j.apergo.2013.09.005 A. Ant Ozok, H. Wu, M. Garrido, PJ Pronovost, AP. Gurses, “Usability and perceived usefulness of Personal Health Records for preventive health care: a case study focusing on patients’ and primary care providers’ perspectives,” Applied Ergonomics, vol. 45, no. 3, pp. 613-28, 2014. 10.1016/j.apergo.2013.09.005 24119975

상세보기
10.1007/s10916-012-9861-z Huba N, Zhang Y. Designing patient-centered personal health records (PHRs): health care professionals’ perspective on patient-generated data. Journal of Medical Systems vol. 36., no. 6, pp. 3893-3905, 2012. 10.1007/s10916-012-9861-z 22644130

상세보기
10.1197/jamia.M2854 SR. Reti, HJ. Feldman, C. Safran, “Governance for personal health records,” Journal of the American Medical informatics Association, vol. 16, no. 1, pp. 14-17, 2009. 10.1197/jamia.M2854 18952939 PMC2605603

상세보기
D. Kaelber, EC. Pan, “The value of personal health records,” American Medical Informatics Association Annual Symposium Proceeding, pp. 343-347, 2008.
10.19030/ajhs.v2i2.6627 P. Brett P, C. Ashish, “An overview of consumer perceptions and acceptance as well as barriers and potential of electronic personal health records,” American Journal of Health Sciences, vol. 2, no. 2, pp. 45-52, 2011. 10.19030/ajhs.v2i2.6627

상세보기
10.1109/HICSS.2014.353 T. Spil, R. Klein, “Personal health records success: why Google Health failed and what does that mean for Microsoft HealthVault?,” Proceedings of 47th Hawaii International Conference on System Sciences, pp. 2818-2827, 2014. 10.1109/HICSS.2014.353
10.3390/ijerph14010008 HL. Hsieh, YM. Kuo, SR. Wang, BK. Chuang, CH. Tsai, “A study of personal health record user’s behavioral model based on the PMT and UTAUT integrative perspective, “ International Journal of Environmental Research and Public Health, vol. 14, no. 1. P. 8, 2017. 10.3390/ijerph14010008 28025557 PMC5295259

상세보기
10.2196/jmir.5876 A. Roehrs, C. A. da Costa, R. D. Righi, and K. S. de Oliveira, "Personal Health Records: A Systematic Literature Review," Journal of Medical Internet Research, vol. 19, no.1, pp. e13. 10.2196/jmir.5876 28062391 PMC5251169

상세보기
LOINC (2019). https://loinc.org/collaboration/snomed-international/ (accessed December 5, 2019).

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증