Technology-induced errors associated with computerized provider order entry software for older patients

• Published in: International journal of clinical pharmacy 2017-08, Vol.39 (4), p.729-742
• Main Authors: Vélez-Díaz-Pallarés, Manuel, Álvarez Díaz, Ana María, Gramage Caro, Teresa, Vicente Oliveros, Noelia, Delgado-Silveira, Eva, Muñoz García, María, Cruz-Jentoft, Alfonso José, Bermejo-Vicedo, Teresa
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Clinical Pharmacy Information Systems - standards; Clinical Pharmacy Information Systems - trends; Clinical trials; Drug-Related Side Effects and Adverse Reactions - diagnosis; Drug-Related Side Effects and Adverse Reactions - prevention & control; Female; Geriatricians - standards; Geriatricians - trends; Humans; Internal Medicine; Male; Medical errors; Medical Order Entry Systems - standards; Medical Order Entry Systems - trends; Medication Errors - prevention & control; Medication Errors - trends; Medicine; Medicine & Public Health; Older people; Order entry; Patients; Pharmacists - standards; Pharmacists - trends; Pharmacy; Prospective Studies; Research Article; Software; Software - standards; Software - trends; Surgery; Technology; Tertiary Care Centers - standards; Tertiary Care Centers - trends; User-Computer Interface
• ISSN: 2210-7703; 2210-7711
• DOI: 10.1007/s11096-017-0474-y

Background The introduction of new technologies in the prescribing process has seen the emergence of new types of medication errors. Objective To determine the prevalence and consequences of technology-induced prescription errors associated with a computerized provider order entry (CPOE) system in hospitalized older patients. Setting Patients 65 years or older admitted to the Departments of Internal Medicine, General Surgery, and Vascular Surgery of a tertiary hospital. Method Prospective observational 6-month study. Technology-induced errors were classified according to various taxonomies. Interrater reliability was measured. Consequences were assessed by interviewing patients and healthcare providers and classified according to their severity. Main outcome measure Prevalence of technology-induced errors. Results A total of 117 patients were included and 107 technology-induced errors were recorded. The prevalence of these errors was 3.65%. Half of the errors were clinical errors (n = 54) and the majority of these were classified as wrong dose, wrong strength, or wrong formulation. Clinical errors were 9 times more likely to be more severe than procedural errors (14.8 vs 1.9%; OR 9.04, 95% CI 1.09–75.07). Most of the errors did not reach the patient. Almost all errors were related to human–machine interactions due to wrong (n = 61) or partial (n = 41) entries. Conclusion Technology-induced errors are common and intrinsic to the implementation of new technologies such as CPOE. The majority of errors appear to be related to human–machine interactions and are of low severity. Prospective trials should be conducted to analyse in detail the way these errors occur and to establish strategies to solve them and increase patient safety.