Evaluating the Impact of Patient Photographs for Preventing Wrong-Patient Errors

Overview

This is a multi-site, 4-arm randomized controlled trial to test the effectiveness of patient photographs displayed in electronic health record (EHR) systems to prevent wrong-patient order errors. The study will be conducted at several academic medical centers that utilize two different EHR systems. Because EHR systems have different functionality for displaying patient photographs, two different study designs will be employed. In Allscripts EHR, a 2-arm randomized trial will be conducted in which providers are randomized to view order verification alerts with versus without patient photographs when placing electronic orders. In Epic EHR, a 2x2 factorial trial will be conducted in which providers are randomized to one of four conditions: 1) no photograph; 2) photograph displayed in the banner only; 3) photograph displayed in a verification alert only; or 4) photograph displayed in the banner and verification alert. The main hypothesis of this study is that displaying patient photographs in the EHR will significantly reduce the frequency of wrong-patient order errors, providing health systems with the evidence needed to adopt this safety practice.

Although Computerized provider order entry (CPOE) systems are associated with a reduction in medical errors, when orders are placed electronically certain types of errors, including placing orders on the wrong patient, may occur more frequently. The danger of wrong-patient electronic orders was highlighted by one hospital's report of over 5,000 wrong patient orders in 1 year. With the growing use of electronic health records (EHRs), an effective method to minimize wrong-patient orders is needed. One study showed that patient photographs displayed in EHR systems decreased wrong-patient orders from 12 to 3 per year after patient photographs were implemented. While encouraging, this study was limited due to its small sample size, compared outcomes of the intervention participants to outcomes of a comparison group similar in demographics but may have differed in ways that were not measured in the study (quasi-experimental design), and reliance on voluntary reporting of errors by providers, which is known to be unreliable and greatly underestimate the actual error rate. This research proposes to use an automated and reliable measure of wrong-patient errors instead of voluntary reporting will demonstrate that patient photographs can significantly prevent wrong-patient orders.