Browse > Article
http://dx.doi.org/10.5859/KAIS.2020.29.1.93

Decision making model for introducing Medical information system based on Block chain Technologies  

Zheng, Yajun (제주한라병원)
Kim, Keun Hyung (제주대학교 경영정보학과)
Publication Information
The Journal of Information Systems / v.29, no.1, 2020 , pp. 93-111 More about this Journal
Abstract
Purpose The purpose of this paper is to observe the relative priorities of importances among the modified versions of Block chain system, being based on AHP decision support model which should be also proposed in this paper. Design/methodology/approach Four versions modified from the beginning of Block chain were divided into Public& Permissionless, Private&Permissionless, Public&Permissioned and Private&Permissioned types. Five criteria for evaluating the four versions whether the version were suitable for Medical information system were introduced from five factors of Technologies Accept Model, which were Security, Availability, Variety, Reliability and Economical efficiency. We designed Decision support model based on AHP which would select the best alternative version suitable for introducing the Block chain technology into the medical information systems. We established the objective of the AHP model into finding the best choice among the four modified versions. First low layer of the model contains the five factors which consisted of Security, Availability, Variety, Reliability and Economical efficiency. Second low layer of the model contains the four modified versions which consisted Public&Permissionless, Private&Permissionless, Public&Permissioned and Private& Permissioned types. The structural questionnaire based on the AHP decision support model was designed and used to survey experts of medical areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of Security was highest among five factors of Technologies Accept Mode in the first layer. The importance priority of Private&Permissioned type was highest among four modified versions of Block chain technologies in second low layer. The second importance priority was Private&Permissionless type. The strong point of Private&Permissioned type is to be able to protect personal information and have faster processing speeds. The advantage of Private& Permissionless type is to be also able to protect personal information as well as from forging and altering transaction data. We recognized that it should be necessary to develop new Block chain technologies that would enable to have faster processing speeds as well as from forging and altering transaction data.
Keywords
Block chain; Medical information system; AHP decision support model; Public& Permissionless; Private&Permissionless; Public&Permissioned; Private&Permissioned; Security; Availability; Variety; Reliability; Economical efficiency;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
연도 인용수 순위
1 김민호, 김수진, 최훈, "블록체인의 이중지불 탐지 알고리즘", 정보과학회논문지, 45권 8호, pp.848-855, 2018.
2 김정석, "블록체인 기술 수용의도에 영향을 미치는 요인에 관한 연구", 숭실대학교대학원 박사학위논문, 2017.
3 김태성, 김우진, 이도윤, 김일곤, "블록체인 네트워크 기반에서 FHIR를 활용한 감염병 환자 진료정보 공유 시스템," 한국정보과학회 학술발표논문집, 2016, pp.2053-2055.
4 김병욱, 의사결정계층 분석방법, 킴스정보전략연구소, 2015.
5 권혁준, 김협, 최재원, "개인 의료정보 보호를 위한 블록체인 적용 방안: 프라이빗 블록 스킴을 중심으로", 한국지식경영학회, 지식경영연구, 19권 4호, 2018, pp.119-131.   DOI
6 다니엘드레셔, 블록체인 무엇인가?, 이지스퍼블리싱, 2018.
7 안태현, 정용규, "블록체인을 이용한 의료정보 시스템 연구", 대한전자공학회 춘계학술대회, 2017, pp.1324-1326.
8 박상수, 이현철, "개인정보 유출의 정보 전이 효과", 정보시스템연구, 27권, 1호, 2018, pp.193-223.
9 박정홍, Private 블록체인 특성이 의료분야 수용 의도에 미치는 영향, 성균관대 대학원 박사학위논문, 2018.
10 박종석, 권혁인, "생체인증 기술의 혁신저항 및 사용의도에 영향을 미치는 요인에 관한 연구", 정보시스템연구, 27권, 2호, 2018, pp.53-75.
11 서광규, "TAM과 VAM을 적용한 기업의 클라우드 서비스 채택의도의 영향요인 분석", 디지털융복합연구, 제11권, 12호, 2013, pp.155-160.   DOI
12 오성원, 박수민, 홍승필, "사례연구를 통한 안전한 블록체인 도입에 대한 제안 -의료정보시스템을 중심으로", 한국통신학회 학술대회논문집, 2017, pp.131-132.
13 양승현, 컬러드 코인에 기반한 의료시스템 스마트 계약 방식 제안 , 순천향대 대학원 석사학위논문, 2017.
14 이광용, 김광석, "블록체인이 가져올 경영 패러다임의 변화, 금융을 넘어 전 산업으로", 삼정 KPMG ISSUE MONITOR, 제60호, 2016.
15 정철호, 남수현, "확장된 UTAUT 모형에 기반한 개인차원에서의 클라우드 컴퓨팅 수용", 디지털융복합연구, 제12권, 1호, 2014, pp.287-294.   DOI
16 Brodersen, C. and Kalis, B and Leong, C and Mitchell, E and Pupo, E and Truscott, A., " Blockchain: Securing a New Health Interoperability Experience", Accenture LLP, 2016, pp.1-11.
17 한현욱, "블록체인 기술의 의료분야 활용 현황 및 정책제언", KHIDI 전문가 리포트, 2018.
18 A.,A.,Shrier and Anne Chang and Nadia Diakun-thibault and Luca Forni and Fernando Landa and Jerry Mayo and Raul van Riezen, "Blockchain and Health IT: Algorithms, Privacy, and Data. Office of the National Coordinator for Health", Information Technology USDepartment of Health and Human Services, 2016.
19 A., Ekblaw and Asaph Azaria and John D. Halamka and Andrew Lippman, "A Case Study for Blockchain in Healthcare: "MedRec" prototype for electronic health records and medical research data", In Proceedings of IEEE Open & Big Data Conference, 2016.
20 Culver, K., "Blockchain Technologies: A white paper discussing how the claims process can be improved", In ONC/ NIST Use of Blockchain for Healthcare and Research Workshop, Gaithersburg, Maryland, United States: ONC/NIST, 2016.
21 ITRC 보고서, https://www.idtheftcenter.org/images/breach/2018/ITRCBreachStatsReportSummary2018.pdf
22 Satoshi Nakamoto, "Bitcoin:A Peer-to-Peer Electronic Cash System", White paper, 2008.
23 Saaty, T.L., The Analytic Hierarchy Process, New York: McGraw Hill, 1980.
24 William Deline and Ephraim McLean, "The DeLone and Mclean model of Information Systems Success: a ten-year update", Jounal of Management Information Systems, Vol.19, Num.4, pp.9-30, 2003.   DOI