INDIANAPOLIS — Changing how medication alerts are presented in electronic medical records resulted in safer prescribing, increased efficiency and reduced workload for health care providers who placed drug orders according to a study published online in the Journal of the American Medical Informatics Association.
“The VA electronic medical record system is one of the most widely used and respected EMR systems in the country,” said Alissa L. Russ, Ph.D., a human factors engineer who led the study. “This EMR is used by providers at over 150 VA hospitals. We are looking at ways to improve the alert system for these providers and for patient care.” Dr. Russ is a Richard Roudebush Veterans Affairs Medical Center research scientist, a Regenstrief Institute investigator and an adjunct assistant professor with the Purdue College of Pharmacy.
In this simulation study, investigators used knowledge from other industries and applications, such as the design of road signs and medication warning labels, to redesign medication alerts, such as drug allergy and drug-drug interaction warnings. Several changes were incorporated, including the use of concise language and a table-like format to help providers scan for information quickly.
Some of the redesigned alerts also presented more detail, such as a patient’s previous symptoms and lab results, so providers did not have to search for this information elsewhere in the patient’s electronic medical record. In addition to adopting safer prescribing practices, doctors, nurse practitioners and clinical pharmacists reported higher satisfaction with the redesigned display and the quality of the information presented.
These types of design changes can help providers pay attention to alerts and may reduce some aspects of alert fatigue, according to Dr. Russ.
The investigators used methods developed in human factors engineering to study the alerts and found that prescribers who participated in the simulation sometimes inadvertently canceled a medication when they thought they were ordering it — or, vice versa, unintentionally ordered a drug, depending on the alert design. These findings have not previously been reported for medication alerts. All patients in the study were fictitious, allowing researchers to safely test the design changes.
The study authors noted that good alert design may offer better cognitive support during busy patient encounters and may help providers extract information quickly, while a poor design may cause prescribers to prematurely dismiss alerts. They also found that repeating alerts in the same ordering session for a given patient did not substantially reduce prescribing errors.
“Serious gaps remain in understanding how to effectively display medication alert information to prescribers. In our study, prescribing errors significantly declined with the redesign, but the number of these errors remains too high. So our next step, which we have already begun, is to learn more about the decision-making process that providers go through when they encounter medication alerts,” Dr. Russ said. “An improved understanding of this process will enable us to design even better alerts, with the end goal of enhancing patient safety.”
In addition to Dr. Russ, authors of “Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation” are Regenstrief Institute and VA investigators Alan J. Zillich, Pharm.D., and Michael Weiner, M.D., MPH; Brittany L. Melton, Pharm.D., Ph.D., University of Kansas; Scott A. Russell, BSE, M.S., and Siying Chen, Pharm.D., of the VA; Jeffrey R. Spina, M.D., of the VA and UCLA: Elizabette G. Johnson, B.A., Purdue University; Joanne K. Daggy, Ph.D., of the VA and Indiana University School of Medicine; Sue McManus, Ph.D., N.P., Jason M. Hawsey, B.S., and Anthony G. Puleo, B.S., all of the VA; Bradley N. Doebbeling, M.D., M.Sc., IU School of Informatics and Computing at Indiana University-Purdue University Indianapolis, Regenstrief Institute and VA; and Jason J. Saleem, Ph.D., of the VA. Dr. Zillich is a Purdue College of Pharmacy faculty member, and Dr. Weiner is on the faculty of the IU School of Medicine.
This work was supported by VA Health Services Research and Development grant PPO 09-298 and VA HSR&D award CDA 11-214 and was conducted in the VA HSR&D Human-Computer Interaction and Simulation Laboratory in Indianapolis. Views expressed in the JAMIA article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or the U.S. government.