Top 10 Lessons Learned from Electronic Medical Record Implementation in a Large Academic Medical Center.

Autor: Rizer MK; Milisa K. Rizer, MD, MPH, is chief medical information officer, associate professor of clinical family medicine, and associate professor of biomedical informatics at The Ohio State University in Columbus, OH., Kaufman B; Beth Kaufman, RN, is the assistant director of health systems informatics at The Ohio State University Wexner Medical Center in Columbus, OH., Sieck CJ; Cynthia J. Sieck, PhD, MPH, is an assistant professor in the Department of Family Medicine at The Ohio State University in Columbus, OH., Hefner JL; Jennifer L. Hefner, PhD, MPH, is a postdoctoral researcher in the Department of Family Medicine at The Ohio State University in Columbus, OH., McAlearney AS; Ann Scheck McAlearney, ScD, MS, is a professor of family medicine and vice chair for research in the Department of Family Medicine at The Ohio State University in Columbus, OH.
Jazyk: angličtina
Zdroj: Perspectives in health information management [Perspect Health Inf Manag] 2015 Jul 01; Vol. 12, pp. 1g. Date of Electronic Publication: 2015 Jul 01 (Print Publication: 2015).
Abstrakt: Electronic medical record (EMR) implementation efforts face many challenges, including individual and organizational barriers and concerns about loss of productivity during the process. These issues may be particularly complex in large and diverse settings with multiple specialties providing inpatient and outpatient care. This case report provides an example of a successful EMR implementation that emphasizes the importance of flexibility and adaptability on the part of the implementation team. It also presents the top 10 lessons learned from this EMR implementation in a large midwestern academic medical center. Included are five overarching lessons related to leadership, initial approach, training, support, and optimization as well as five lessons related to the EMR system itself that are particularly important elements of a successful implementation.
Databáze: MEDLINE