Role of multihospital system membership in electronic medical record adoption.
BACKGROUND
Health information technology (HIT) is designed to help reduce medical errors and improve quality of care and efficiency by providing the right information for the right patients in the right place at the right time. Nevertheless, substantial variation currently exists in the adoption of electronic medical records (EMRs) resulting in differences in hospital HIT capacity.


OBJECTIVE
The purpose of this article is to examine the impact of different types of multihospital system affiliation on EMR adoption in hospitals in the United States.


METHODS
A cross-sectional design was used with a sample of 4,017 hospitals in the United States. Secondary data were retrieved from the Health Information and Management Systems Society Analytics Database. Multiple regression analysis was used to examine the impact of multihospital system affiliation on EMR level of adoption.


RESULTS
The mean EMR adoption level varies significantly between independent hospitals and hospitals owned by a system for small hospitals. After adjusting for the number of operating rooms, the number of emergency room visits, and the number of hospital total full-time equivalent staff, small hospitals owned by multihospital systems were associated with 0.25 higher mean EMR adoption level (p < .05) than independent hospitals and no significant relationship was observed for hospitals that were leased/managed by a system. There was no significant effect of multihospital system membership on EMR level of adoption for medium and large hospitals.


CONCLUSIONS
Small hospitals owned by multihospital systems had a significantly higher EMR level compared with independent hospitals. These findings have significant implications for small hospitals that are struggling to improve their HIT capacity. Smaller hospitals in ownership arrangements with larger health care systems have an advantage over small independent hospitals in HIT capacity possibly because of the greater availability of capital, access to shared HIT capacity, and other resources including technical expertise.
Li
Pengxiang
P
Division of General Internal Medicine, University of Pennsylvania, Philadelphia, USA. penli@mail.med.upenn.edu
Bahensky
James A
JA
Jaana
Mirou
M
Ward
Marcia M
MM
D003430:Cross-Sectional Studies; D004059:Diffusion of Innovation; D006276:Health Facility Size; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009096:Multi-Institutional Systems; D012044:Regression Analysis; D014481:United States