Abstract:
OBJECTIVE:To understand how clinicians utilize image uploading tools in a home grown electronic health records (EHR) system. METHODS:A content analysis of patient notes containing non-radiological images from the EHR was conducted. Images from 4,000 random notes from July 1, 2009 - June 30, 2010 were reviewed and manually coded. Codes were assigned to four properties of the image: (1) image type, (2) role of image uploader (e.g. MD, NP, PA, RN), (3) practice type (e.g. internal medicine, dermatology, ophthalmology), and (4) image subject. RESULTS:3,815 images from image-containing notes stored in the EHR were reviewed and manually coded. Of those images, 32.8% were clinical and 66.2% were non-clinical. The most common types of the clinical images were photographs (38.0%), diagrams (19.1%), and scanned documents (14.4%). MDs uploaded 67.9% of clinical images, followed by RNs with 10.2%, and genetic counselors with 6.8%. Dermatology (34.9%), ophthalmology (16.1%), and general surgery (10.8%) uploaded the most clinical images. The content of clinical images referencing body parts varied, with 49.8% of those images focusing on the head and neck region, 15.3% focusing on the thorax, and 13.8% focusing on the lower extremities. CONCLUSION:The diversity of image types, content, and uploaders within a home grown EHR system reflected the versatility and importance of the image uploading tool. Understanding how users utilize image uploading tools in a clinical setting highlights important considerations for designing better EHR tools and the importance of interoperability between EHR systems and other health technology.
journal_name
Appl Clin Informjournal_title
Applied clinical informaticsauthors
Ai AC,Maloney FL,Hickman TT,Wilcox AR,Ramelson H,Wright Adoi
10.4338/ACI-2016-10-RA-0180subject
Has Abstractpub_date
2017-07-12 00:00:00pages
710-718issue
3issn
1869-0327pii
2016-10-RA-0180journal_volume
8pub_type
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journal_title:Applied clinical informatics
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pub_type: 杂志文章
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更新日期:2012-09-06 00:00:00
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