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.
Purpose: 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.
Methodology: 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.
Findings: 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.
Practice Implications: 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.
Pengxiang Li, PhD, is Health Services Research Scientist, Division of General Internal Medicine, University of Pennsylvania, Philadelphia. E-mail: firstname.lastname@example.org.
James A. Bahensky, MS, is Associate Professor, Department of Health Management and Policy, College of Public Health, University of Iowa. E-mail: email@example.com.
Mirou Jaana, PhD, is Assistant Professor, Health Administration, School of Management, University of Ottawa, ON, Canada. E-mail: firstname.lastname@example.org.
Marcia M. Ward, PhD, is Professor, Department of Health Management and Policy, College of Public Health, University of Iowa. E-mail: email@example.com.
Support for this work was funded by the Agency for Healthcare Research and Quality through Grant HS015009.