Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
EHR use and patient satisfaction: What we learned.
43
Zitationen
11
Autoren
2015
Jahr
Abstract
PURPOSE: Few studies have quantitatively examined the degree to which the use of the computer affects patients' satisfaction with the clinician and the quality of the visit. We conducted a study to examine this association. METHODS: Twenty-three clinicians (21 internal medicine physicians, 2 nurse practitioners) were recruited from 4 Veteran Affairs Medical Center (VAMC) clinics located in San Diego, Calif. Five to 6 patients for most clinicians (one patient each for 2 of the clinicians) were recruited to participate in a study of patient-physician communication. The clinicians' computer use and the patient-clinician interactions in the exam room were captured in real time via video recordings of the interactions and the computer screen, and through the use of the Morae usability testing software system, which recorded clinician clicks and scrolls on the computer. After the visit, patients were asked to complete a satisfaction survey. RESULTS: The final sample consisted of 126 consultations. Total patient satisfaction (beta=0.014; P=.027) and patient satisfaction with patient-centered communication (beta=0.02; P=.02) were significantly associated with higher clinician “gaze time” at the patient. A higher percentage of gaze time during a visit (controlling for the length of the visit) was significantly associated with greater satisfaction with patient-centered communication (beta=0.628; P=.033). CONCLUSIONS: Higher clinician gaze time at the patient predicted greater patient satisfaction. This suggests that clinicians would be well served to refine their multitasking skills so that they communicate in a patient-centered manner while performing necessary computer-related tasks. These findings also have important implications for clinical training with respect to using an electronic health record (EHR) system in ways that do not impede the one-on-one conversation between clinician and patient.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.789 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.174 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.971 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.728 Zit.