PhotoExam: adoption of an iOS‐based clinical image capture application at Mayo Clinic

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 encount...

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Veröffentlicht in:International journal of dermatology 2017-12, Vol.56 (12), p.1359-1365
Hauptverfasser: Wyatt, Kirk D., Willaert, Brian N., Pallagi, Peter J., Uribe, Richard A., Yiannias, James A., Hellmich, Thomas R.
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container_end_page 1365
container_issue 12
container_start_page 1359
container_title International journal of dermatology
container_volume 56
creator Wyatt, Kirk D.
Willaert, Brian N.
Pallagi, Peter J.
Uribe, Richard A.
Yiannias, James A.
Hellmich, Thomas R.
description 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.
doi_str_mv 10.1111/ijd.13648
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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.</description><identifier>ISSN: 0011-9059</identifier><identifier>EISSN: 1365-4632</identifier><identifier>DOI: 10.1111/ijd.13648</identifier><identifier>PMID: 28497467</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject><![CDATA[Arizona ; Dermatology ; Dermatology - statistics & numerical data ; Florida ; Humans ; Internal Medicine - statistics & numerical data ; Internship and Residency - statistics & numerical data ; Medical personnel ; Medical phenomena ; Medical Staff, Hospital - statistics & numerical data ; Minnesota ; Mobile Applications - utilization ; Multi-Institutional Systems - statistics & numerical data ; Nursing Staff, Hospital - statistics & numerical data ; Photography ; Photography - standards ; Photography - trends ; Physicians ; Point-of-Care Systems - utilization ; Quality assessment ; Skin Diseases - diagnostic imaging ; Smartphone ; Specialties, Surgical - statistics & numerical data ; Surgery]]></subject><ispartof>International journal of dermatology, 2017-12, Vol.56 (12), p.1359-1365</ispartof><rights>2017</rights><rights>2017 The International Society of Dermatology.</rights><rights>International Journal of Dermatology © 2017 International Society of Dermatology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3538-7a30f2345fe8c9da9a297441a3940e271fda109c14a569f39e3d1e73dc6ce2033</citedby><cites>FETCH-LOGICAL-c3538-7a30f2345fe8c9da9a297441a3940e271fda109c14a569f39e3d1e73dc6ce2033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijd.13648$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijd.13648$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28497467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wyatt, Kirk D.</creatorcontrib><creatorcontrib>Willaert, Brian N.</creatorcontrib><creatorcontrib>Pallagi, Peter J.</creatorcontrib><creatorcontrib>Uribe, Richard A.</creatorcontrib><creatorcontrib>Yiannias, James A.</creatorcontrib><creatorcontrib>Hellmich, Thomas R.</creatorcontrib><title>PhotoExam: adoption of an iOS‐based clinical image capture application at Mayo Clinic</title><title>International journal of dermatology</title><addtitle>Int J Dermatol</addtitle><description>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.</description><subject>Arizona</subject><subject>Dermatology</subject><subject>Dermatology - statistics &amp; numerical data</subject><subject>Florida</subject><subject>Humans</subject><subject>Internal Medicine - statistics &amp; numerical data</subject><subject>Internship and Residency - statistics &amp; numerical data</subject><subject>Medical personnel</subject><subject>Medical phenomena</subject><subject>Medical Staff, Hospital - statistics &amp; numerical data</subject><subject>Minnesota</subject><subject>Mobile Applications - utilization</subject><subject>Multi-Institutional Systems - statistics &amp; numerical data</subject><subject>Nursing Staff, Hospital - statistics &amp; numerical data</subject><subject>Photography</subject><subject>Photography - standards</subject><subject>Photography - trends</subject><subject>Physicians</subject><subject>Point-of-Care Systems - utilization</subject><subject>Quality assessment</subject><subject>Skin Diseases - diagnostic imaging</subject><subject>Smartphone</subject><subject>Specialties, Surgical - statistics &amp; 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numerical data</topic><topic>Photography</topic><topic>Photography - standards</topic><topic>Photography - trends</topic><topic>Physicians</topic><topic>Point-of-Care Systems - utilization</topic><topic>Quality assessment</topic><topic>Skin Diseases - diagnostic imaging</topic><topic>Smartphone</topic><topic>Specialties, Surgical - statistics &amp; numerical data</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wyatt, Kirk D.</creatorcontrib><creatorcontrib>Willaert, Brian N.</creatorcontrib><creatorcontrib>Pallagi, Peter J.</creatorcontrib><creatorcontrib>Uribe, Richard A.</creatorcontrib><creatorcontrib>Yiannias, James A.</creatorcontrib><creatorcontrib>Hellmich, Thomas R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of dermatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wyatt, Kirk D.</au><au>Willaert, Brian N.</au><au>Pallagi, Peter J.</au><au>Uribe, Richard A.</au><au>Yiannias, James A.</au><au>Hellmich, Thomas R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PhotoExam: adoption of an iOS‐based clinical image capture application at Mayo Clinic</atitle><jtitle>International journal of dermatology</jtitle><addtitle>Int J Dermatol</addtitle><date>2017-12</date><risdate>2017</risdate><volume>56</volume><issue>12</issue><spage>1359</spage><epage>1365</epage><pages>1359-1365</pages><issn>0011-9059</issn><eissn>1365-4632</eissn><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.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>28497467</pmid><doi>10.1111/ijd.13648</doi><tpages>7</tpages></addata></record>
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subjects Arizona
Dermatology
Dermatology - statistics & numerical data
Florida
Humans
Internal Medicine - statistics & numerical data
Internship and Residency - statistics & numerical data
Medical personnel
Medical phenomena
Medical Staff, Hospital - statistics & numerical data
Minnesota
Mobile Applications - utilization
Multi-Institutional Systems - statistics & numerical data
Nursing Staff, Hospital - statistics & numerical data
Photography
Photography - standards
Photography - trends
Physicians
Point-of-Care Systems - utilization
Quality assessment
Skin Diseases - diagnostic imaging
Smartphone
Specialties, Surgical - statistics & numerical data
Surgery
title PhotoExam: adoption of an iOS‐based clinical image capture application at Mayo Clinic
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