Literature Review: Clinical Data Interoperability Models

被引:9
作者
Abdelouahid, Rachida Ait [1 ,2 ]
Debauche, Olivier [2 ,3 ]
Mahmoudi, Said [2 ]
Marzak, Abdelaziz [1 ]
机构
[1] Hassan II Univ Casablanca, Fac Sci Ben Msick, Dept Math & Comp Sci, LTIM, Casablanca 7955, Morocco
[2] Univ Mons, Fac Engn, ILIA, B-7000 Mons, Belgium
[3] Awe Grp, Innovat Dept, R&D Serv, Eleveo, B-5590 Ciney, Belgium
关键词
Internet of Medical Things; IoMT; data exchange; healthcare; medical data; interoperability; FHIR; CDA; DICOM; HL7; SEMANTIC INTEROPERABILITY; HL7; FHIR; HEALTH; INTEGRATION; DICOM;
D O I
10.3390/info14070364
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A medical entity (hospital, nursing home, rest home, revalidation center, etc.) usually includes a multitude of information systems that allow for quick decision-making close to the medical sensors. The Internet of Medical Things (IoMT) is an area of IoT that generates a lot of data of different natures (radio, CT scan, medical reports, medical sensor data). However, these systems need to share and exchange medical information in a seamless, timely, and efficient manner with systems that are either within the same entity or other healthcare entities. The lack of inter- and intra-entity interoperability causes major problems in the analysis of patient records and leads to additional financial costs (e.g., redone examinations). To develop a medical data interoperability architecture model that will allow providers and different actors in the medical community to exchange patient summary information with other caregivers and partners to improve the quality of care, the level of data security, and the efficiency of care should take stock of the state of knowledge. This paper discusses the challenges faced by medical entities in sharing and exchanging medical information seamlessly and efficiently. It highlights the need for inter- and intra-entity interoperability to improve the analysis of patient records, reduce financial costs, and enhance the quality of care. The paper reviews existing solutions proposed by various researchers and identifies their limitations. The analysis of the literature has shown that the HL7 FHIR standard is particularly well adapted for exchanging and storing health data, while DICOM, CDA, and JSON can be converted in HL7 FHIR or HL7 FHIR to these formats for interoperability purposes. This approach covers almost all use cases.
引用
收藏
页数:21
相关论文
共 40 条
[1]  
Abdelouahid RA, 2018, 2018 IEEE 5TH INTERNATIONAL CONGRESS ON INFORMATION SCIENCE AND TECHNOLOGY (IEEE CIST'18), P54, DOI 10.1109/CIST.2018.8596441
[2]   Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method [J].
Ammar, Mohammed ;
Mahmoudi, Said ;
Chikh, Mohammed Amine ;
Abbou, Amine .
JOURNAL OF DIGITAL IMAGING, 2012, 25 (02) :294-306
[3]   MedRec: Using Blockchain for Medical Data Access and Permission Management [J].
Azaria, Asaph ;
Ekblaw, Ariel ;
Vieira, Thiago ;
Lippman, Andrew .
PROCEEDINGS 2016 2ND INTERNATIONAL CONFERENCE ON OPEN AND BIG DATA - OBD 2016, 2016, :25-30
[4]   mHealth4Afrika-Implementing HL7 FHIR Based Interoperability [J].
Baskaya, Mert ;
Yuksel, Mustafa ;
Erturkmen, Gokce Banu Laleci ;
Cunningham, Miriam ;
Cunningham, Paul .
MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 :20-24
[5]   HL7 Version 3 - An object-oriented methodology for collaborative standards development [J].
Beeler, GW .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 1998, 48 (1-3) :151-161
[6]  
Bender D, 2013, COMP MED SY, P326, DOI 10.1109/CBMS.2013.6627810
[7]  
Benson T., 2016, PRINCIPLES HLTH INTE
[8]   Understanding and using DICOM, the data interchange standard for biomedical imaging [J].
Bidgood, WD ;
Horii, SC ;
Prior, FW ;
VanSyckle, DE .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1997, 4 (03) :199-212
[9]   HL7 and DICOM based integration of radiology departments with healthcare enterprise information systems [J].
Blazona, Bojan ;
Koncar, Miroslav .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2007, 76 :S425-S432
[10]  
Boutros-Saikali N, 2018, 2018 THIRD INTERNATIONAL CONFERENCE ON ELECTRICAL AND BIOMEDICAL ENGINEERING, CLEAN ENERGY AND GREEN COMPUTING (EBECEGC), P6, DOI 10.1109/EBECEGC.2018.8357124