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 |
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container_title | International journal of dermatology |
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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 |
format | Article |
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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><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 & numerical data</subject><subject>Florida</subject><subject>Humans</subject><subject>Internal Medicine - statistics & numerical data</subject><subject>Internship and Residency - statistics & numerical data</subject><subject>Medical personnel</subject><subject>Medical phenomena</subject><subject>Medical Staff, Hospital - statistics & numerical data</subject><subject>Minnesota</subject><subject>Mobile Applications - utilization</subject><subject>Multi-Institutional Systems - statistics & numerical data</subject><subject>Nursing Staff, Hospital - statistics & 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 & numerical data</subject><subject>Surgery</subject><issn>0011-9059</issn><issn>1365-4632</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kMtOwzAQRS0EouWx4AeQJTawSPHEzsPsUCkvgYoEiKU1dRxIlcYhTgTd8Ql8I1-CaYEFErMZzejM1Z1LyA6wAfg6LKbZAHgs0hXS9z0KRMzDVdJnDCCQLJI9suHc1I88BLFOemEqZCLipE8ebp5sa0evODuimNm6LWxFbU6xosX49uPtfYLOZFSXRVVoLGkxw0dDNdZt1xiKdV369eIIW3qNc0uHC3SLrOVYOrP93TfJ_enobngeXI3PLobHV4HmEU-DBDnLQy6i3KRaZigx9MYEIJeCmTCBPENgUoPAKJY5l4ZnYBKe6VibkHG-SfaXunVjnzvjWjUrnDZliZWxnVOQSgmQAE89uvcHndquqbw7BTLmLALGmKcOlpRurHONyVXd-KebuQKmvtJWPm21SNuzu9-K3WRmsl_yJ14PHC6Bl6I08_-V1MXlyVLyE9iUiAs</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Wyatt, Kirk D.</creator><creator>Willaert, Brian N.</creator><creator>Pallagi, Peter J.</creator><creator>Uribe, Richard A.</creator><creator>Yiannias, James A.</creator><creator>Hellmich, Thomas R.</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>201712</creationdate><title>PhotoExam: adoption of an iOS‐based clinical image capture application at Mayo Clinic</title><author>Wyatt, Kirk D. ; Willaert, Brian N. ; Pallagi, Peter J. ; Uribe, Richard A. ; Yiannias, James A. ; Hellmich, Thomas R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3538-7a30f2345fe8c9da9a297441a3940e271fda109c14a569f39e3d1e73dc6ce2033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Arizona</topic><topic>Dermatology</topic><topic>Dermatology - statistics & numerical data</topic><topic>Florida</topic><topic>Humans</topic><topic>Internal Medicine - statistics & numerical data</topic><topic>Internship and Residency - statistics & numerical data</topic><topic>Medical personnel</topic><topic>Medical phenomena</topic><topic>Medical Staff, Hospital - statistics & numerical data</topic><topic>Minnesota</topic><topic>Mobile Applications - utilization</topic><topic>Multi-Institutional Systems - statistics & numerical data</topic><topic>Nursing Staff, Hospital - statistics & 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 & 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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