Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers

BackgroundRecently, many hospitals have introduced mobile electronic medical records (mEMRs). Although numerous studies have been published on the usability or usage patterns of mEMRs through user surveys, investigations based on the real data usage are lacking. O...

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Main Authors: Lee, Yura, Park, Yu Rang, Kim, Junetae, Kim, Jeong Hoon, Kim, Woo Sung, Lee, Jae-Ho
Format: Article
Language:English
Published: JMIR Publications 2017-12-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2017/12/e178/
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spelling doaj-b6aa9d5f537648f18e9dabfe3a247e512021-05-03T03:32:47ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222017-12-01512e17810.2196/mhealth.8855Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care ProvidersLee, YuraPark, Yu RangKim, JunetaeKim, Jeong HoonKim, Woo SungLee, Jae-Ho BackgroundRecently, many hospitals have introduced mobile electronic medical records (mEMRs). Although numerous studies have been published on the usability or usage patterns of mEMRs through user surveys, investigations based on the real data usage are lacking. ObjectiveAsan Medical Center, a tertiary hospital in Seoul, Korea, implemented an mEMR program in 2010. On the basis of the mEMR usage log data collected over a period of 4.5 years, we aimed to identify a usage pattern and trends in accordance with user occupation and to disseminate the factors that make the mEMR more effective and efficient. MethodsThe mEMR log data were collected from March 2012 to August 2016. Descriptive analyses were completed according to user occupation, access time, services, and wireless network type. Specifically, analyses targeted were as follows: (1) the status of the mEMR usage and distribution of users, (2) trends in the number of users and usage amount, (3) 24-hour usage patterns, and (4) trends in service usage based on user occupations. Linear regressions were performed to model the relationship between the time, access frequency, and the number of users. The differences between the user occupations were examined using Student t tests for categorical variables. ResultsApproximately two-thirds of the doctors and nurses used the mEMR. The number of logs studied was 7,144,459. Among 3859 users, 2333 (60.46%) users were nurses and 1102 (28.56%) users were doctors. On average, the mEMR was used 1044 times by 438 users per day. The number of users and amount of access logs have significantly increased since 2012 (P<.001). Nurses used the mEMR 3 times more often than doctors. The use of mEMR by nurses increased by an annual average of 51.5%, but use by doctors decreased by an annual average of 7.7%. For doctors, the peak usage periods were observed during 08:00 to 09:00 and 17:00 to 18:00, which were coincident with the beginning of ward rounds. Conversely, the peak usage periods for the nurses were observed during 05:00 to 06:00, 12:00 to 13:00, and 20:00 to 21:00, which effectively occurred 1 or 2 hours before handover. In more than 80% of all cases, the mEMR was accessed via a nonhospital wireless network. ConclusionsThe usage patterns of the mEMR differed between doctors and nurses according to their different workflows. In both occupations, mEMR was highly used when personal computer access was limited and the need for patient information was high, such as during ward rounds or handover periods.http://mhealth.jmir.org/2017/12/e178/
collection DOAJ
language English
format Article
sources DOAJ
author Lee, Yura
Park, Yu Rang
Kim, Junetae
Kim, Jeong Hoon
Kim, Woo Sung
Lee, Jae-Ho
spellingShingle Lee, Yura
Park, Yu Rang
Kim, Junetae
Kim, Jeong Hoon
Kim, Woo Sung
Lee, Jae-Ho
Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
JMIR mHealth and uHealth
author_facet Lee, Yura
Park, Yu Rang
Kim, Junetae
Kim, Jeong Hoon
Kim, Woo Sung
Lee, Jae-Ho
author_sort Lee, Yura
title Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
title_short Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
title_full Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
title_fullStr Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
title_full_unstemmed Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers
title_sort usage pattern differences and similarities of mobile electronic medical records among health care providers
publisher JMIR Publications
series JMIR mHealth and uHealth
issn 2291-5222
publishDate 2017-12-01
description BackgroundRecently, many hospitals have introduced mobile electronic medical records (mEMRs). Although numerous studies have been published on the usability or usage patterns of mEMRs through user surveys, investigations based on the real data usage are lacking. ObjectiveAsan Medical Center, a tertiary hospital in Seoul, Korea, implemented an mEMR program in 2010. On the basis of the mEMR usage log data collected over a period of 4.5 years, we aimed to identify a usage pattern and trends in accordance with user occupation and to disseminate the factors that make the mEMR more effective and efficient. MethodsThe mEMR log data were collected from March 2012 to August 2016. Descriptive analyses were completed according to user occupation, access time, services, and wireless network type. Specifically, analyses targeted were as follows: (1) the status of the mEMR usage and distribution of users, (2) trends in the number of users and usage amount, (3) 24-hour usage patterns, and (4) trends in service usage based on user occupations. Linear regressions were performed to model the relationship between the time, access frequency, and the number of users. The differences between the user occupations were examined using Student t tests for categorical variables. ResultsApproximately two-thirds of the doctors and nurses used the mEMR. The number of logs studied was 7,144,459. Among 3859 users, 2333 (60.46%) users were nurses and 1102 (28.56%) users were doctors. On average, the mEMR was used 1044 times by 438 users per day. The number of users and amount of access logs have significantly increased since 2012 (P<.001). Nurses used the mEMR 3 times more often than doctors. The use of mEMR by nurses increased by an annual average of 51.5%, but use by doctors decreased by an annual average of 7.7%. For doctors, the peak usage periods were observed during 08:00 to 09:00 and 17:00 to 18:00, which were coincident with the beginning of ward rounds. Conversely, the peak usage periods for the nurses were observed during 05:00 to 06:00, 12:00 to 13:00, and 20:00 to 21:00, which effectively occurred 1 or 2 hours before handover. In more than 80% of all cases, the mEMR was accessed via a nonhospital wireless network. ConclusionsThe usage patterns of the mEMR differed between doctors and nurses according to their different workflows. In both occupations, mEMR was highly used when personal computer access was limited and the need for patient information was high, such as during ward rounds or handover periods.
url http://mhealth.jmir.org/2017/12/e178/
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