Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service / 대한의료정보학회지
Healthcare Informatics Research
;
: 102-110, 2015.
Artículo
en Inglés
| WPRIM
| ID: wpr-70028
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Jabones
/
Control Social Formal
/
Sistemas de Computación
/
Informática Médica
/
Comercio
/
Privacidad
/
Sistemas de Apoyo a Decisiones Clínicas
/
Atención a la Salud
/
Sistemas de Entrada de Órdenes Médicas
/
Registros Electrónicos de Salud
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Healthcare Informatics Research
Año:
2015
Tipo del documento:
Artículo
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