Implementing a Photodocumentation Program.

Autor: Lai EK; Department of Radiology, Tufts University School of Medicine, Boston, USA., Slavik E; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, USA.; Information Services, Cincinnati Children's Hospital, Cincinnati, USA., Ganim B; Information Services, Cincinnati Children's Hospital, Cincinnati, USA., Perry LA; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, USA., Treuting C; Division of Dermatology, Cincinnati Children's Hospital, Cincinnati, USA., Dee T; Information Services, Cincinnati Children's Hospital, Cincinnati, USA., Osborne M; Information Services, Cincinnati Children's Hospital, Cincinnati, USA., Presley C; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, USA.; Information Services, Cincinnati Children's Hospital, Cincinnati, USA., Towbin AJ; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, USA. alexander.towbin@cchmc.org.; Department of Radiology, College of Medicine, University of Cincinnati, Cincinnati, USA. alexander.towbin@cchmc.org.
Jazyk: angličtina
Zdroj: Journal of imaging informatics in medicine [J Imaging Inform Med] 2024 Aug 22. Date of Electronic Publication: 2024 Aug 22.
DOI: 10.1007/s10278-024-01236-1
Abstrakt: The widespread availability of smart devices has facilitated the use of medical photography, yet photodocumentation workflows are seldom implemented in healthcare organizations due to integration challenges with electronic health records (EHR) and standard clinical workflows. This manuscript details the implementation of a comprehensive photodocumentation workflow across all phases of care at a large healthcare organization, emphasizing efficiency and patient safety. From November 2018 to December 2023, healthcare workers at our institution uploaded nearly 32,000 photodocuments spanning 54 medical specialties. The photodocumentation process requires as few as 11 mouse clicks and keystrokes within the EHR and on smart devices. Automation played a crucial role in driving workflow efficiency and patient safety. For example, body part rules were used to automate the application of a sensitive label to photos of the face, chest, external genitalia, and buttocks. This automation was successful, with over 50% of the uploaded photodocuments being labeled as sensitive. Our implementation highlights the potential for standardizing photodocumentation workflows, thereby enhancing clinical documentation, improving patient care, and ensuring the secure handling of sensitive images.
(© 2024. The Author(s).)
Databáze: MEDLINE
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