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Performance Analysis of Hospital Information System of the National Health Insurance Corporation Ilsan Hospital / 대한의료정보학회지
Healthcare Informatics Research ; : 208-214, 2012.
Article in English | WPRIM | ID: wpr-192776
ABSTRACT

OBJECTIVES:

This study evaluated the qualitative and quantitative performances of the newly developed information system which was implemented on November 4, 2011 at the National Health Insurance Corporation Ilsan Hospital.

METHODS:

Registration waiting time and changes in the satisfaction scores for the key performance indicators (KPI) before and after the introduction of the system were compared; and the economic effects of the system were analyzed by using the information economics approach.

RESULTS:

After the introduction of the system, the waiting time for registration was reduced by 20%, and the waiting time at the internal medicine department was reduced by 15%. The benefit-to-cost ratio was increased to 1.34 when all intangible benefits were included in the economic analysis.

CONCLUSIONS:

The economic impact and target satisfaction rates increased due to the introduction of the new system. The results were proven by the quantitative and qualitative analyses carried out in this study. This study was conducted only seven months after the introduction of the system. As such, a follow-up study should be carried out in the future when the system stabilizes.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Personal Satisfaction / Computer Systems / Information Systems / Hospital Information Systems / Cost-Benefit Analysis / Internal Medicine / National Health Programs Type of study: Observational study / Prognostic study / Qualitative research Language: English Journal: Healthcare Informatics Research Year: 2012 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Personal Satisfaction / Computer Systems / Information Systems / Hospital Information Systems / Cost-Benefit Analysis / Internal Medicine / National Health Programs Type of study: Observational study / Prognostic study / Qualitative research Language: English Journal: Healthcare Informatics Research Year: 2012 Type: Article