A Process of Acceptance of Patient Photographs in Electronic Medical Records to Confirm Patient Identification.
Mayo Clin Proc Innov Qual Outcomes
; 4(1): 99-104, 2020 Feb.
Article
em En
| MEDLINE
| ID: mdl-32055775
ABSTRACT
Appropriate patient identification is a critical component of safe health care delivery. With increasing reliance on electronic medical records (EMRs), errors of test ordering and documentation have become commonplace. Incorporating patients' photograph in the EMR has considerably decreased error frequency and improved health care delivery by making it easier for physicians to identify a patient. We conducted a survey of all 35 physicians working in the Executive Health Program to determine the importance of having patient photographs in the EMR. Of the 35 physicians who received the survey, 26 (74.3%) responded, 24 (92.3%) of whom agreed that it was important to improve patient identification, care, and safety. Based on these data, we implemented a quality improvement project to increase the percentage of new patients having a photograph included in the EMR. Our goal was to increase photograph inclusion by more than 20% from baseline within 6 months without any unintended consequences (ie, not slowing down any of the workflow during the intake process). The intervention took place between June 1, 2015, and February 8, 2016. Using Define-Measure-Analyze-Improve-Control models, the baseline rate of photographs in the EMR was 49.5% (302 of 607). We initiated 3 Plan-Do-Study-Act cycles targeting awareness and data sharing campaigns. After the Plan-Do-Study-Act cycles, the weekly rate of patient photographs incorporated into the EMR was at 71.4%, which was significantly improved compared with baseline (F test, P<.001). No unintended consequences were identified. Increased inclusion of patient photographs in the EMR aided in patient identification and improved staff satisfaction with minimal interruption to workflow.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Revista:
Mayo Clin Proc Innov Qual Outcomes
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Mongólia