G3DMS: Design and Implementation of a Data Management System for the Diagnosis of Genetic Disorders.

Barker methodology Saudi Arabia clinical information systems clinical research databases data management system genetic diagnosis data genetic testing data medical research data

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
03 Jul 2020
Historique:
received: 04 06 2020
revised: 30 06 2020
accepted: 30 06 2020
entrez: 9 7 2020
pubmed: 9 7 2020
medline: 9 7 2020
Statut: epublish

Résumé

Current health information systems used in genetic research centers and clinics in the Kingdom of Saudi Arabia have failed to enable researchers and health care physicians to utilize genetic and clinical data in their research. In this paper, we aim to design and implement a Genetic Disorders Diagnosis Data Management System (G3DMS) to support clinicians in the process of diagnosing genetic diseases and conducting genetic studies. A case study was undertaken to analyze a health information system in Saudi to understand its design problems via a brainstorming method. We then used the Barker's system design method and a prototype to validate our proposed system via usability testing. This research has resulted in the development of the G3DMS that comprises: electronic data-capture forms for data entry; a customized query builder to display and modify patient data as well as form research queries; a module that allows historical data to be uploaded in the form of bulk data using a template; export data options to Excel and JavaScript Object Notation (JSON) format; and authorization access for healthcare researchers and clinicians. The G3DMS was implemented in the Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, Jeddah, KSA.

Identifiants

pubmed: 32635303
pii: healthcare8030196
doi: 10.3390/healthcare8030196
pmc: PMC7551506
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

J Am Med Inform Assoc. 1994 Jan-Feb;1(1):28-33
pubmed: 7719785
Int J Med Inform. 2018 Jan;109:15-22
pubmed: 29195701
Int J Med Inform. 2014 May;83(5):330-42
pubmed: 24560609
J Am Med Inform Assoc. 2015 Mar;22(2):479-88
pubmed: 25769683
Artif Intell Med. 2015 Oct;65(2):75-7
pubmed: 26306669
Perspect Health Inf Manag. 2015 Nov 01;12:1f
pubmed: 26604875
Nurs Res. 2006 Mar-Apr;55(2 Suppl):S37-42
pubmed: 16601633
Am J Med Genet A. 2012 Oct;158A(10):2629-40
pubmed: 22903695
BMC Med Inform Decis Mak. 2006 Jan 09;6:3
pubmed: 16401336
BMC Med Genomics. 2015;8 Suppl 1:S3
pubmed: 25951871
Yearb Med Inform. 2018 Aug;27(1):83-90
pubmed: 30157510
Health Policy Plan. 2018 Mar 1;33(2):237-246
pubmed: 29253138
Health Inf Manag. 2020 May-Sep;49(2-3):117-126
pubmed: 31046465
Int J Med Inform. 2015 Jul;84(7):486-99
pubmed: 25881560
BMC Health Serv Res. 2017 Jan 10;17(1):23
pubmed: 28073361
Int J Med Inform. 2019 Dec;132:103942
pubmed: 31627031

Auteurs

Halima Samra (H)

Department of Comp. Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia.
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Alice Li (A)

Department of Comp. Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia.

Ben Soh (B)

Department of Comp. Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia.

Classifications MeSH