Healthc Inform Res.  2018 Oct;24(4):327-334. 10.4258/hir.2018.24.4.327.

Association between Electronic Medical Record System Adoption and Healthcare Information Technology Infrastructure

Affiliations
  • 1Bureau of Future Health Industry Policy, Korea Health Industry Development Institute, Cheongju, Korea.
  • 2Research Institute for Health Insurance Claims Review & Assessment, Health Insurance Review & Assessment Service (HIRA), Wonju, Korea. pyt0601@hira.or.kr
  • 3Department of Health Care Administration, Kosin University, Busan, Korea.
  • 4Smart Healthcare & Device Research Center, Samsung Medical Center, Seoul, Korea.
  • 5Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.

Abstract


OBJECTIVES
The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure.
METHODS
Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program.
RESULTS
The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004).
CONCLUSIONS
This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

Keyword

Electronic Medical Records; Electronic Health Records; EMR Adoption; EHR Adoption

MeSH Terms

Dataset
Delivery of Health Care*
Electronic Health Records*
Health Care Sector
Hospitals, General
Humans
Korea
Logistic Models
Surveys and Questionnaires

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