Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service.
10.4258/hir.2015.21.2.102
- Author:
Sungyoung OH
1
;
Jieun CHA
;
Myungkyu JI
;
Hyekyung KANG
;
Seok KIM
;
Eunyoung HEO
;
Jong Soo HAN
;
Hyunggoo KANG
;
Hoseok CHAE
;
Hee HWANG
;
Sooyoung YOO
Author Information
1. R&D Institute, ezCaretech Co. Ltd., Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Clinical Decision Support Systems;
Electronic Health Records;
Computer Systems;
Medical Order Entry Systems
- MeSH:
Commerce;
Computer Systems;
Decision Support Systems, Clinical;
Delivery of Health Care*;
Electronic Health Records;
Information Services;
Medical Informatics;
Medical Order Entry Systems;
Privacy;
Soaps;
Social Control, Formal
- From:Healthcare Informatics Research
2015;21(2):102-110
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVES: To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. METHODS: We analyzed the architecture requirements of an HSP, including the interface, business services, cloud SaaS, quality attributes, privacy and security, and multi-lingual capacity. For cloud-based SaaS services, we focused on Clinical Decision Service (CDS) content services, basic functional services, and mobile services. Microsoft's Azure cloud computing for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) was used. RESULTS: The functional and software views of an HSP were designed in a layered architecture. External systems can be interfaced with the HSP using SOAP and REST/JSON. The multi-tenancy model of the HSP was designed as a shared database, with a separate schema for each tenant through a single application, although healthcare data can be physically located on a cloud or in a hospital, depending on regulations. The CDS services were categorized into rule-based services for medications, alert registration services, and knowledge services. CONCLUSIONS: We expect that cloud-based HSPs will allow small and mid-sized hospitals, in addition to large-sized hospitals, to adopt information infrastructures and health information technology with low system operation and maintenance costs.
