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1.
J Leg Med ; 40(2): 247-263, 2020.
Article in English | MEDLINE | ID: mdl-33137276

ABSTRACT

Medical photographs have been used for decades to document clinical findings. The ease with which medical photographs can be captured and integrated into the electronic health record (EHR) has increased as digital cameras obviated the need for the film development process. Today, cameras integrated into smartphones allow for high-resolution images to be instantly uploaded and integrated into the EHR. With major EHR vendors offering mobile smartphone applications for the conduct of point-of-care medical photography, health care providers and institutions need to be aware of legal questions that arise in the conduct of medical photography. Namely, (1) what are the requirements for consent when taking medical photographs, and how may photographs be used after consent is obtained, (2) are medical photographs admissible as evidence in court, and (3) how should a provider respond to a request by a patient or parent requesting that a photograph be deleted from the medical record? Herein, we review relevant laws and legal cases in the context of accepted standards of medical practice pertaining to point-of-care medical photography. This review is intended to aid health care providers and institutions seeking to develop or revise policies regarding using a mobile application at their clinical practice.


Subject(s)
Electronic Health Records/legislation & jurisprudence , Informed Consent/legislation & jurisprudence , Mobile Applications , Patient Rights , Photography/legislation & jurisprudence , Health Insurance Portability and Accountability Act , Health Personnel/legislation & jurisprudence , Humans , Organizational Policy , Point-of-Care Systems , Smartphone , United States
2.
Int J Dermatol ; 56(12): 1359-1365, 2017 Dec.
Article in English | MEDLINE | ID: mdl-28497467

ABSTRACT

BACKGROUND: Mayo Clinic developed an internal iOS-based, point-of-care clinical image capture application for clinicians. We aimed to assess the adoption and utilization of the application at Mayo Clinic. METHODS: Metadata of 22,784 photos of 6417 patients taken by 606 users over 8040 clinical encounters between 3/1/2015 and 10/31/2015 were analyzed. A random sample of photos from 100 clinical encounters was assessed for quality using a five-item rubric. Use of traditional medical photography services before and after application launch were compared. RESULTS: The largest group of users was residents/fellows, accounting for 31% of users but only 18% of all photos. Attending physicians accounted for 29% of users and 30% of photos. Nurses accounted for 14% of users and 28% of photos. Surgical specialties had the most users (36% of users), followed by dermatology (14% of users); however, dermatology accounted for 54% of all photos, and surgery accounted for 26% of photos. Images received an average of 91% of possible points on the quality scoring rubric. Most frequent reasons for missing points were the location on the body not clearly being demonstrated (19% of encounters) and the perspective/scale not being clearly demonstrated (12% of encounters). There was no discernible pre-post effect of the application's launch on use of traditional medical photography services. CONCLUSIONS: Point-of-care clinical photography is a growing phenomenon with potential to become the new standard of care. Patient and provider attitudes and the impact on patient outcomes remain unclear.


Subject(s)
Mobile Applications/statistics & numerical data , Multi-Institutional Systems/statistics & numerical data , Photography/trends , Point-of-Care Systems/statistics & numerical data , Skin Diseases/diagnostic imaging , Arizona , Dermatology/statistics & numerical data , Florida , Humans , Internal Medicine/statistics & numerical data , Internship and Residency/statistics & numerical data , Medical Staff, Hospital/statistics & numerical data , Minnesota , Nursing Staff, Hospital/statistics & numerical data , Photography/standards , Smartphone , Specialties, Surgical/statistics & numerical data
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