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Paatela S, Kyytsönen M, Saranto K, Kinnunen UM, Vehko T. Experiences of Electronic Health Records' and Client Information Systems' Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study. J Med Internet Res 2024; 26:e46954. [PMID: 38809583 PMCID: PMC11170046 DOI: 10.2196/46954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 10/06/2023] [Accepted: 04/23/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND The transmission of clinical information in nursing predominantly occurs through digital solutions, such as computers and mobile devices, in today's era. Various technological systems, including electronic health records (EHRs) and client information systems (CISs), can be seamlessly integrated with mobile devices. The use of mobile devices is anticipated to rise, particularly as long-term care is increasingly delivered in environments such as clients' homes, where computers are not readily accessible. However, there is a growing need for more user-centered data to ensure that mobile devices effectively support practical nurses in their daily activities. OBJECTIVE This study aims to analyze practical nurses' experiences of using EHRs or CISs on a mobile device in their daily practice. In addition, it aims to examine the factors associated with work time savings when using EHRs/CISs on a mobile device. METHODS A cross-sectional study using an electronic survey was conducted in spring 2022. A total of 3866 practical nurses participated in the survey based on self-assessment. The sample was limited to practical nurses who used EHRs or CISs on a mobile device and worked in home care or service housing within the social welfare or health care sector (n=1014). Logistic regression analysis was used to explore the factors associated with work time savings. RESULTS The likelihood of perceiving work time savings was higher among more experienced EHR/CIS users compared with those with less experience (odds ratio [OR] 1.59, 95% CI 1.30-1.94). Participants with 0-5 years of work experience were more likely to experience work time savings compared with those who had worked 21 years or more (OR 2.41, 95% CI 1.43-4.07). Practical nurses in home care were also more likely to experience work time savings compared with those working in service housing (OR 1.95, 95% CI 1.23-3.07). A lower grade given for EHRs/CISs was associated with a reduced likelihood of experiencing work time savings (OR 0.76, 95% CI 0.66-0.89). Participants who documented client data in a public area were more likely to experience work time savings compared with those who did so in the nurses' office (OR 2.33, 95% CI 1.27-4.25). Practical nurses who found documentation of client data on a mobile device easy (OR 3.05, 95% CI 2.14-4.34) were more likely to experience work time savings compared with those who did not. Similarly, participants who believed that documentation of client data on a mobile device reduced the need to memorize things (OR 4.10, 95% CI 2.80-6.00) were more likely to experience work time savings compared with those who did not. CONCLUSIONS To enhance the proportion of practical nurses experiencing work time savings, we recommend that organizations offer comprehensive orientation and regular education sessions tailored for mobile device users who have less experience using EHRs or CISs and find mobile devices less intuitive to use.
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Affiliation(s)
- Satu Paatela
- Health and Social Service System Research, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Maiju Kyytsönen
- Health and Social Service System Research, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kaija Saranto
- Faculty of Social Sciences and Business Studies, University of Eastern Finland, Kuopio, Finland
| | - Ulla-Mari Kinnunen
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Tuulikki Vehko
- Health and Social Service System Research, Finnish Institute for Health and Welfare, Helsinki, Finland
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Su Y, Teng J, Pan S, Jiang W, Wang F, Tian F, Jing J, Huang H, Cao J, Hu H, Liu L, Li W, Liang C, Ma L, Meng X, Tian L, Wang C, Wang L, Wang Y, Wang Z, Wang Z, Xie Z, You M, Yuan J, Zeng C, Zeng L, Zhang L, Zhang L, Zhang X, Zhang Y, Zhao B, Zhou S, Zhou Z. The development of the neurocritical care specialty in China based on the analysis of neurocritical care unit volume and quality. Brain Circ 2024; 10:67-76. [PMID: 38655441 PMCID: PMC11034439 DOI: 10.4103/bc.bc_71_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/08/2023] [Accepted: 12/22/2023] [Indexed: 04/26/2024] Open
Abstract
PURPOSE Through three neurocritical care unit (NCCU) surveys in China, we tried to understand the development status of neurocritical care and clarify its future development. METHODS Using a cross-sectional survey method and self-report questionnaires, the number and quality of NCCUs were investigated through three steps: administering the questionnaire, sorting the survey data, and analyzing the survey data. RESULTS At the second and third surveys, the number of NCCUs (76/112/206) increased by 47% and 84%, respectively. The NCCUs were located in tertiary grade A hospitals or teaching hospitals (65/100/181) in most provinces (24/28/29). The numbers of full-time doctors (359/668/1337) and full-time nurses (904/1623/207) in the NCCUs increased, but the doctor-bed ratio and nurse-bed ratio were still insufficient (0.4:1 and 1.3:1). CONCLUSION In the past 20 years, the growth rate of NCCUs in China has accelerated, while the allocation of medical staff has been insufficient. Although most NCCU hospital bed facilities and instruments and equipment tend to be adequate, there are obvious defects in some aspects of NCCUs.
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Affiliation(s)
- Yingying Su
- Departments of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Junfang Teng
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Suyue Pan
- Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Wen Jiang
- Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Furong Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Tian
- Departments of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jing Jing
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huijin Huang
- Departments of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jie Cao
- The First Hospital of Jilin University, Changchun, China
| | - Huaiqiang Hu
- The 960(th) Hospital of Joint Logistics Support, PLA, Jinan, China
| | - Liping Liu
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Daping Hospital, The Army Military Medical University, Chongqing, China
| | - Cheng Liang
- The Second Hospital of Lanzhou University, Lanzhou, China
| | - Liansheng Ma
- The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xuegang Meng
- The Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, China
| | - Linyu Tian
- West China Hospital, Sichuan University, Chengdu, China
| | - Changqing Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lihua Wang
- The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Yan Wang
- Tangshan People's Hospital of Hebei Province, Tangshan, China
| | - Zhenhai Wang
- Neurology Center, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Zhiqiang Wang
- The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zunchun Xie
- The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Mingyao You
- The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jun Yuan
- Inner Mongolia People's Hospital, Hohhot, China
| | - Chaosheng Zeng
- The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Li Zeng
- The Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Le Zhang
- Xiangya Hospital, Central South University, Changsha, China
| | - Lei Zhang
- The First People's Hospital of Yunnan Province, Kunming, China
| | - Xin Zhang
- Nanjing Drum Tower Hospital, Nanjing, China
| | - Yongwei Zhang
- Department of Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Bin Zhao
- Tianjin Medical University General Hospital, Tianjin, China
| | - Saijun Zhou
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhonghe Zhou
- General Hospital of Northern Theater Command, Shenyang, China
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3
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Use of Smartphone-Based Electronic Medical Records by Nurses in Tertiary Teaching Hospitals. COMPUTERS, INFORMATICS, NURSING : CIN 2022:00024665-990000000-00057. [PMID: 36731012 DOI: 10.1097/cin.0000000000000956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The adoption of smartphone-based electronic medical records is increasing in the healthcare sector. Nurses are the largest group using mobile electronic medical records. This study examined the system quality, information quality, service quality, usefulness, and ease of using mobile electronic medical records, the effects of the three qualities of the mobile electronic medical records on the usefulness and ease of use, and nurses' preference for using mobile electronic medical records. The participants were 210 nurses using a mobile electronic medical record system for over a month. An instrument modified from existing instruments was used. The data were analyzed using descriptive statistics and multiple regression analysis. The participants perceived the system and information quality more positively than the service quality of the mobile electronic medical records. They perceived the mobile electronic medical records as being useful and easy to use. System quality and information quality significantly affected the perception of the usefulness and ease of using the mobile electronic medical record. They preferred to use it as a means to identify patients' conditions at any time. For user satisfaction and the implications for nursing practice, the usability and functionality of a mobile electronic medical record system should be continuously assessed.
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Schmid T, Hoffmann F, Dörks M, Jobski K. Nurse-Filled Versus Pharmacy-Filled Medication Organization Devices—Survey on Current Practices and Views of Home Care Nursing Services. Healthcare (Basel) 2022; 10:healthcare10040620. [PMID: 35455796 PMCID: PMC9028845 DOI: 10.3390/healthcare10040620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 11/22/2022] Open
Abstract
Medication organization devices (MODs) are widely used among home care nursing services. However, current practices such as the responsibility for filling MODs, different MOD types used and requirements of home care nursing services are largely unknown. The study aimed at analyzing home care nursing services’ current practices regarding MOD use, investigating their requirements and determining whether different practices met these requirements. A survey was administered online to German home care nursing services in February 2021. The importance of requirements and the extent of satisfaction were measured using a five-point scale. Attitudes towards disposable, pharmacy-filled MODs were recorded as free text. In total, 690 nursing services responded (67.5% privately owned and 34.5% based in large cities), 92.2% filled MODs themselves and used predominantly reusable, rigid MODs. Pharmacies filling MODs used primarily disposable MODs. Satisfaction with current practices was generally high. Respondents filling MODs themselves were more satisfied with nurses’ medication knowledge, but less satisfied with cost effectiveness than those who had pharmacies fill MODs. Of all respondents filling MODs themselves who expressed an opinion on disposable, pharmacy-filled MODs, 50.9% were skeptical, primarily due to fear of losing flexibility. However, no difference in satisfaction with flexibility was found between respondents filling MODs themselves and those using pharmacy-filled MODs. In conclusion, employment of MODs in the professional care setting is a complex task with nursing services as key constituents. There is potential for improvement in the inter-professional collaboration between pharmacies and home care nursing services on the use of MODs. Measures for improvement have to address home care nursing services’ requirements with respect to flexibility and medication knowledge.
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Affiliation(s)
- Thomas Schmid
- Faculty of Social and Health Studies, University of Applied Sciences Kempten, 87435 Kempten, Germany;
| | - Falk Hoffmann
- Department of Health Services Research, Faculty VI Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany; (F.H.); (M.D.)
| | - Michael Dörks
- Department of Health Services Research, Faculty VI Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany; (F.H.); (M.D.)
| | - Kathrin Jobski
- Department of Health Services Research, Faculty VI Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany; (F.H.); (M.D.)
- Correspondence: ; Tel.: +49-441-798-2330
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Nguyen OT, Turner K, Apathy NC, Magoc T, Hanna K, Merlo LJ, Harle CA, Thompson LA, Berner ES, Feldman SS. Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis. J Am Med Inform Assoc 2021; 29:461-471. [PMID: 34897493 PMCID: PMC8800512 DOI: 10.1093/jamia/ocab272] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/05/2021] [Accepted: 11/23/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE This study aimed to understand the association between primary care physician (PCP) proficiency with the electronic health record (EHR) system and time spent interacting with the EHR. MATERIALS AND METHODS We examined the use of EHR proficiency tools among PCPs at one large academic health system using EHR-derived measures of clinician EHR proficiency and efficiency. Our main predictors were the use of EHR proficiency tools and our outcomes focused on 4 measures assessing time spent in the EHR: (1) total time spent interacting with the EHR, (2) time spent outside scheduled clinical hours, (3) time spent documenting, and (4) time spent on inbox management. We conducted multivariable quantile regression models with fixed effects for physician-level factors and time in order to identify factors that were independently associated with time spent in the EHR. RESULTS Across 441 primary care physicians, we found mixed associations between certain EHR proficiency behaviors and time spent in the EHR. Across EHR activities studied, QuickActions, SmartPhrases, and documentation length were positively associated with increased time spent in the EHR. Models also showed a greater amount of help from team members in note writing was associated with less time spent in the EHR and documenting. DISCUSSION Examining the prevalence of EHR proficiency behaviors may suggest targeted areas for initial and ongoing EHR training. Although documentation behaviors are key areas for training, team-based models for documentation and inbox management require further study. CONCLUSIONS A nuanced association exists between physician EHR proficiency and time spent in the EHR.
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Affiliation(s)
- Oliver T Nguyen
- Corresponding Author: Oliver T. Nguyen, MSHI, Department of Community Health and Family Medicine, University of Florida, College of Medicine, PO Box 100211, Gainesville, FL 32610, USA;
| | - Kea Turner
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida, USA,Department of Oncological Sciences, University of South Florida, Tampa, Florida, USA
| | - Nate C Apathy
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tanja Magoc
- Clinical and Translational Science Institute, University of Florida, Gainesville, Florida, USA
| | - Karim Hanna
- Department of Family Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Lisa J Merlo
- Department of Psychiatry, University of Florida, Gainesville, Florida, USA
| | - Christopher A Harle
- Clinical and Translational Science Institute, University of Florida, Gainesville, Florida, USA,Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA
| | - Lindsay A Thompson
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA,Department of Pediatrics, University of Florida, Gainesville, Florida, USA
| | - Eta S Berner
- Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sue S Feldman
- Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Heponiemi T, Kaihlanen AM, Gluschkoff K, Saranto K, Nissinen S, Laukka E, Vehko T. The Association Between Using a Mobile Version of an Electronic Health Record and the Well-Being of Nurses: Cross-sectional Survey Study. JMIR Med Inform 2021; 9:e28729. [PMID: 34255704 PMCID: PMC8292939 DOI: 10.2196/28729] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/05/2021] [Accepted: 05/23/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Mobile devices such as tablets and smartphones are increasingly being used in health care in many developed countries. Nurses form the largest group in health care that uses electronic health records (EHRs) and their mobile versions. Mobile devices are suggested to promote nurses' workflow, constant updating of patient information, and improve the communication within the health care team. However, little is known about their effect on nurses' well-being. OBJECTIVE This study aimed to examine the association between using a mobile version of the EHR and nurses' perceived time pressure, stress related to information systems, and self-rated stress. Moreover, we examined whether mobile device use modifies the associations of EHR usability (ease of use and technical quality), experience in using EHRs, and number of systems in daily use with these well-being indicators. METHODS This was a cross-sectional population-based survey study among 3610 Finnish registered nurses gathered in 2020. The aforesaid associations were examined using analyses of covariance and logistic regression adjusted for age, gender, and employment sector (hospital, primary care, social service, and other). RESULTS Nurses who used the mobile version of their EHR had higher levels of time pressure (F1,3537=14.96, P<.001) and stress related to information systems (F1,3537=6.11, P=.01), compared with those who did not use mobile versions. Moreover, the interactions of mobile device use with experience in using EHRs (F1,3581=14.93, P<.001), ease of use (F1,3577=10.16, P=.001), and technical quality (F1,3577=6.45, P=.01) were significant for stress related to information systems. Inexperience in using EHRs, low levels of ease of use, and technical quality were associated with higher stress related to information systems and this association was more pronounced among those who used mobile devices. That is, the highest levels of stress related to information systems were perceived among those who used mobile devices as well as among inexperienced EHR users or those who perceived usability problems in their EHRs. CONCLUSIONS According to our results, it seems that at present mobile device use is not beneficial for the nurses' well-being. In addition, mobile device use seems to intensify the negative effects of usability issues related to EHRs. In particular, inexperienced users of EHRs seem to be at a disadvantage when using mobile devices. Thus, we suggest that EHRs and their mobile versions should be improved such that they would be easier to use and would better support the nurses' workflow (eg, improvements to problems related to small display, user interface, and data entry). Moreover, additional training on EHRs, their mobile versions, and workflow related to these should be provided to nurses.
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Affiliation(s)
- Tarja Heponiemi
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anu-Marja Kaihlanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kia Gluschkoff
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Kaija Saranto
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Sari Nissinen
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Elina Laukka
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.,Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland
| | - Tuulikki Vehko
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
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7
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Rule A, Chiang MF, Hribar MR. Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods. J Am Med Inform Assoc 2021; 27:480-490. [PMID: 31750912 DOI: 10.1093/jamia/ocz196] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/07/2019] [Accepted: 10/18/2019] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE To systematically review published literature and identify consistency and variation in the aims, measures, and methods of studies using electronic health record (EHR) audit logs to observe clinical activities. MATERIALS AND METHODS In July 2019, we searched PubMed for articles using EHR audit logs to study clinical activities. We coded and clustered the aims, measures, and methods of each article into recurring categories. We likewise extracted and summarized the methods used to validate measures derived from audit logs and limitations discussed of using audit logs for research. RESULTS Eighty-five articles met inclusion criteria. Study aims included examining EHR use, care team dynamics, and clinical workflows. Studies employed 6 key audit log measures: counts of actions captured by audit logs (eg, problem list viewed), counts of higher-level activities imputed by researchers (eg, chart review), activity durations, activity sequences, activity clusters, and EHR user networks. Methods used to preprocess audit logs varied, including how authors filtered extraneous actions, mapped actions to higher-level activities, and interpreted repeated actions or gaps in activity. Nineteen studies validated results (22%), but only 9 (11%) through direct observation, demonstrating varying levels of measure accuracy. DISCUSSION While originally designed to aid access control, EHR audit logs have been used to observe diverse clinical activities. However, most studies lack sufficient discussion of measure definition, calculation, and validation to support replication, comparison, and cross-study synthesis. CONCLUSION EHR audit logs have potential to scale observational research but the complexity of audit log measures necessitates greater methodological transparency and validated standards.
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Affiliation(s)
- Adam Rule
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
| | - Michael F Chiang
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.,Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Michelle R Hribar
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.,Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA
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Soh JY, Jung SH, Cha WC, Kang M, Chang DK, Jung J, Lee J, Choi JS, Kim K. Variability in Doctors' Usage Paths of Mobile Electronic Health Records Across Specialties: Comprehensive Analysis of Log Data. JMIR Mhealth Uhealth 2019; 7:e12041. [PMID: 30664473 PMCID: PMC6354233 DOI: 10.2196/12041] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Revised: 10/27/2018] [Accepted: 12/09/2018] [Indexed: 01/18/2023] Open
Abstract
Background With the emergence of mobile devices, mobile electronic health record (mEHR) systems have been utilized by health care professionals (HCPs), including doctors, nurses, and other practitioners, to improve efficiency at the point of care. Although several studies on mEHR systems were conducted, including those analyzing their effects and HCPs’ usage frequency, only a few considered the specific workflows of doctors based on their specialties in which the work process differs greatly. Objective This study aimed to investigate the differences in mEHR usage paths across clinical specialties. Methods We collected the log data of 974 doctors who worked from August 2016 to August 2017 and used the mEHR system at the Samsung Medical Center, one of the biggest hospitals in South Korea. The doctors were classified into 3 groups based on their specialty: the physician, the surgeon, and other hospital-based physician (OHBP) groups. We used various descriptive and visualization methods to understand and compare doctors’ usage paths of mEHRs. First, the average numbers of log-ins per day and features used per log-in were examined over different specialties and positions. Second, the number of features used by each doctor was visualized via a heat map to provide an overview of mEHR usage across feature types and doctors’ specialties. Third, we conducted a path analysis via a Sankey diagram to describe main usage paths and association rule mining to find frequent paths in mEHR usage. Results The physician group logged on most frequently, whereas the OHBP group logged on least frequently. In fact, the number of log-ins per day of residents in the physician group was 4.4 times higher than that of staff members in the other groups. The heat map visualization showed a visible difference among specialty groups. The physician group used more consultation-related features, whereas the surgeon group used more surgery-related features. Generally, 50% of the doctors spent about 15 seconds at a time when using mEHRs. In the Sankey diagram, the physician group showed diverse usage patterns with higher complexity compared with the other 2 groups; in particular, their paths contained more loops, which reflected repetitive checks on multiple patients. The most frequent path included inpatient summary, which means that most users stopped at the point of summary and did not proceed to view more details. Conclusions The usage paths of mEHRs showed considerable differences among the specialty groups. Such differences can be accommodated into an mEHR design to enhance the efficiency of care.
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Affiliation(s)
- Ji Yeong Soh
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sang-Hyuk Jung
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Won Chul Cha
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Mira Kang
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea.,Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Dong Kyung Chang
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jaegon Jung
- Department of Computer Engineering, Seoul Digital University, Seoul, Republic of Korea
| | - JeanHyoung Lee
- Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Jong Soo Choi
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Kyunga Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea.,Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea
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