Rate of electronic health record adoption in South Korea: A nation-wide survey
Highlights • We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015 and to compare the findings with equivalent South Korean data from 2010, as well as with US data from 2010 and 2014. For the comparison, we used the same or equivalent questionnaires developed by Jha et al....
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| Published in | International journal of medical informatics (Shannon, Ireland) Vol. 101; pp. 100 - 107 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
01.05.2017
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| Abstract | Highlights • We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015 and to compare the findings with equivalent South Korean data from 2010, as well as with US data from 2010 and 2014. For the comparison, we used the same or equivalent questionnaires developed by Jha et al. at each data point. • In this study, 11.6% of South Korean tertiary teaching and general hospitals had a comprehensive EHR, and 46.5% had a basic EHR, in 2015. • The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%) after financial support was provided to US hospitals after the HITECH Act was passed. • A clinical decision support system (CDSS) was the most frequently missing function required to meet the criteria for a comprehensive EHR in hospitals with a basic EHR system. • The major barriers to adoption of EHR system were economic problems: the capital cost was the most frequent barrier to EHR adoption (48%), followed by concerns regarding the ongoing cost of maintenance (11%). |
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| AbstractList | OBJECTIVEThe adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United States (US), where there has been a national effort to improve and standardize EHR interoperability, no consensus has been established in South Korea. The goal of this study was to determine the current status of EHR adoption in South Korean hospitals compared to that in the US.METHODSAll general and tertiary teaching hospitals in South Korea were surveyed regarding their EHR status in 2015 with the same questionnaire as used previously. The survey form estimated the level of adoption of EHR systems according to 24 core functions in four categories (clinical documentation, result view, computerized provider order entry, and decision supports). The adoption level was classified into comprehensive and basic EHR systems according to their functionalities.RESULTSEHRs and computerized physician order entry systems were used in 58.1% and 86.0% of South Korean hospitals, respectively. Decision support systems and problem list documentation were the functions most frequently missing from comprehensive and basic EHR systems. The main barriers cited to adoption of EHR systems were the cost of purchasing (48%) and the ongoing cost of maintenance (11%).DISCUSSIONThe EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%). The evidence suggests that these trends were influenced by the level of financial and political support provided to US hospitals after the HITECH Act was passed in 2009.CONCLUSIONSThe EHR adoption rate in Korea has increased, albeit more slowly than in the US. It is logical to suggest that increased funding and support tied to the HITECH Act in the US partly explains the difference in the adoption rates of EHRs in both countries. The adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United States (US), where there has been a national effort to improve and standardize EHR interoperability, no consensus has been established in South Korea. The goal of this study was to determine the current status of EHR adoption in South Korean hospitals compared to that in the US. All general and tertiary teaching hospitals in South Korea were surveyed regarding their EHR status in 2015 with the same questionnaire as used previously. The survey form estimated the level of adoption of EHR systems according to 24 core functions in four categories (clinical documentation, result view, computerized provider order entry, and decision supports). The adoption level was classified into comprehensive and basic EHR systems according to their functionalities. EHRs and computerized physician order entry systems were used in 58.1% and 86.0% of South Korean hospitals, respectively. Decision support systems and problem list documentation were the functions most frequently missing from comprehensive and basic EHR systems. The main barriers cited to adoption of EHR systems were the cost of purchasing (48%) and the ongoing cost of maintenance (11%). The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%). The evidence suggests that these trends were influenced by the level of financial and political support provided to US hospitals after the HITECH Act was passed in 2009. The EHR adoption rate in Korea has increased, albeit more slowly than in the US. It is logical to suggest that increased funding and support tied to the HITECH Act in the US partly explains the difference in the adoption rates of EHRs in both countries. •We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015.•We compared the findings with equivalent South Korean data from 2010, as well as with US data from 2010 and 2014.•11.6% of South Korean tertiary teaching and general hospitals had a comprehensive EHR, and 46.5% had a basic EHR, in 2015.•The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%).•However, this trend was reversed in 2015 (58.1% vs. 75.2%) after financial support was provided to US hospitals after the HITECH Act was passed. The adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United States (US), where there has been a national effort to improve and standardize EHR interoperability, no consensus has been established in South Korea. The goal of this study was to determine the current status of EHR adoption in South Korean hospitals compared to that in the US. All general and tertiary teaching hospitals in South Korea were surveyed regarding their EHR status in 2015 with the same questionnaire as used previously. The survey form estimated the level of adoption of EHR systems according to 24 core functions in four categories (clinical documentation, result view, computerized provider order entry, and decision supports). The adoption level was classified into comprehensive and basic EHR systems according to their functionalities. EHRs and computerized physician order entry systems were used in 58.1% and 86.0% of South Korean hospitals, respectively. Decision support systems and problem list documentation were the functions most frequently missing from comprehensive and basic EHR systems. The main barriers cited to adoption of EHR systems were the cost of purchasing (48%) and the ongoing cost of maintenance (11%). The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%). The evidence suggests that these trends were influenced by the level of financial and political support provided to US hospitals after the HITECH Act was passed in 2009. The EHR adoption rate in Korea has increased, albeit more slowly than in the US. It is logical to suggest that increased funding and support tied to the HITECH Act in the US partly explains the difference in the adoption rates of EHRs in both countries. Highlights • We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015 and to compare the findings with equivalent South Korean data from 2010, as well as with US data from 2010 and 2014. For the comparison, we used the same or equivalent questionnaires developed by Jha et al. at each data point. • In this study, 11.6% of South Korean tertiary teaching and general hospitals had a comprehensive EHR, and 46.5% had a basic EHR, in 2015. • The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%) after financial support was provided to US hospitals after the HITECH Act was passed. • A clinical decision support system (CDSS) was the most frequently missing function required to meet the criteria for a comprehensive EHR in hospitals with a basic EHR system. • The major barriers to adoption of EHR system were economic problems: the capital cost was the most frequent barrier to EHR adoption (48%), followed by concerns regarding the ongoing cost of maintenance (11%). |
| Author | Jung, Kyoungwon Yoon, Dukyong Park, Rae Woong Park, Young-Taek Kim, Young-Gun Shin, Dahye Cho, Soo Yeon |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28347440$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1053/j.ackd.2014.02.014 10.4258/hir.2014.20.3.183 10.1093/jamia/ocv040 10.1016/j.ijmedinf.2013.12.006 10.1197/jamia.M1768 10.1016/j.ijmedinf.2011.12.002 10.1377/hlthaff.2015.0992 10.1136/amiajnl-2012-001458 10.1542/peds.108.4.e75 10.1136/amiajnl-2013-002578 10.1056/NEJMsa0900592 10.1016/j.ijmedinf.2007.10.009 10.4258/hir.2015.21.1.21 10.1377/hlthaff.2013.0308 10.1001/jama.2015.5089 10.1001/jama.293.10.1197 10.1377/hlthaff.2014.0453 10.1016/j.ijmedinf.2014.12.003 |
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| References | Hussey, Timbie, Burgette, Wenger, Nyweide, Kahn (bib0045) 2015; 313 Ford, McAlearney, Phillips, Menachemi, Rudolph (bib0080) 2008; 77 Magrabi, Baker, Sinha, Ong, Harrison, Kidd, Runciman, Coiera (bib0060) 2015; 84 Middleton, Bloomrosen, Dente, Hashmat, Koppel, Overhage, Payne, Rosenbloom, Weaver, Zhang (bib0050) 2013; 20 Park, Lee (bib0085) 2014; 20 Ketchersid (bib0095) 2014; 21 Meeks, Smith, Taylor, Sittig, Scott, Singh (bib0075) 2014; 21 Yoon, Chang, Kang, Bae, Park (bib0015) 2012; 81 Jha, Burke, DesRoches, Joshi, Kralovec, Campbell, Buntin (bib0020) 2011; 17 Mullett, Evans, Christenson, Dean (bib0055) 2001; 108 Lee, Heo, Lim, Lee, Weon, Chae, Hwang, Yoo (bib0100) 2015; 21 Jha, DesRoches, Campbell, Donelan, Rao, Ferris, Shields, Rosenbaum, Blumenthal (bib0005) 2009; 360 Adler-Milstein, DesRoches, Kralovec, Foster, Worzala, Charles, Searcy, Jha (bib0030) 2015; 34 Koppel, Metlay, Cohen, Abaluck, Localio, Kimmel, Strom (bib0065) 2005; 293 DesRoches, Charles, Furukawa, Joshi, Kralovec, Mostashari, Worzala, Jha (bib0035) 2013; 32 Kierkegaard (bib0040) 2015; 27 Adler-Milstein, DesRoches, Furukawa, Worzala, Charles, Kralovec, Stalley, Jha (bib0025) 2014; 33 Han, Sharman, Heider, Maloney, Yang, Singh (bib0090) 2016; 23 Park, Shin, Choi, Ahn, Hwang (bib0010) 2005; 12 Seidling, Klein, Schaier, Czock, Theile, Pruszydlo, Kaltschmidt, Mikus, Haefeli (bib0070) 2014; 83 Yoon (10.1016/j.ijmedinf.2017.02.009_bib0015) 2012; 81 Adler-Milstein (10.1016/j.ijmedinf.2017.02.009_bib0025) 2014; 33 Mullett (10.1016/j.ijmedinf.2017.02.009_bib0055) 2001; 108 Park (10.1016/j.ijmedinf.2017.02.009_bib0010) 2005; 12 DesRoches (10.1016/j.ijmedinf.2017.02.009_bib0035) 2013; 32 Koppel (10.1016/j.ijmedinf.2017.02.009_bib0065) 2005; 293 Park (10.1016/j.ijmedinf.2017.02.009_bib0085) 2014; 20 Magrabi (10.1016/j.ijmedinf.2017.02.009_bib0060) 2015; 84 Lee (10.1016/j.ijmedinf.2017.02.009_bib0100) 2015; 21 Han (10.1016/j.ijmedinf.2017.02.009_bib0090) 2016; 23 Hussey (10.1016/j.ijmedinf.2017.02.009_bib0045) 2015; 313 Jha (10.1016/j.ijmedinf.2017.02.009_bib0020) 2011; 17 Ketchersid (10.1016/j.ijmedinf.2017.02.009_bib0095) 2014; 21 Seidling (10.1016/j.ijmedinf.2017.02.009_bib0070) 2014; 83 Adler-Milstein (10.1016/j.ijmedinf.2017.02.009_bib0030) 2015; 34 Meeks (10.1016/j.ijmedinf.2017.02.009_bib0075) 2014; 21 Middleton (10.1016/j.ijmedinf.2017.02.009_bib0050) 2013; 20 Ford (10.1016/j.ijmedinf.2017.02.009_bib0080) 2008; 77 Jha (10.1016/j.ijmedinf.2017.02.009_bib0005) 2009; 360 Kierkegaard (10.1016/j.ijmedinf.2017.02.009_bib0040) 2015; 27 |
| References_xml | – volume: 20 start-page: e2 year: 2013 end-page: 8 ident: bib0050 article-title: Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA publication-title: J. Am. Med. Inf. Assoc.: JAMIA contributor: fullname: Zhang – volume: 313 start-page: 2181 year: 2015 end-page: 2182 ident: bib0045 article-title: Appropriateness of advanced diagnostic imaging ordering before and after implementation of clinical decision support systems publication-title: JAMA contributor: fullname: Kahn – volume: 108 start-page: E75 year: 2001 ident: bib0055 article-title: Development and impact of a computerized pediatric antiinfective decision support program publication-title: Pediatrics contributor: fullname: Dean – volume: 360 start-page: 1628 year: 2009 end-page: 1638 ident: bib0005 article-title: Use of electronic health records in U.S. hospitals publication-title: New Engl. J. Med. contributor: fullname: Blumenthal – volume: 32 start-page: 1478 year: 2013 end-page: 1485 ident: bib0035 article-title: Adoption of electronic health records grows rapidly, but fewer than half of US hospitals had at least a basic system in 2012 publication-title: Health Affairs (Project Hope) contributor: fullname: Jha – volume: 17 start-page: 117 year: 2011 end-page: 124 ident: bib0020 article-title: Progress toward meaningful use: hospitals’ adoption of electronic health records publication-title: Am. J. Manag. Care contributor: fullname: Buntin – volume: 21 start-page: 21 year: 2015 end-page: 29 ident: bib0100 article-title: Developing a common health information exchange platform to implement a nationwide health information network in South Korea publication-title: Healthcare Inf. Res. contributor: fullname: Yoo – volume: 81 start-page: 196 year: 2012 end-page: 203 ident: bib0015 article-title: Adoption of electronic health records in Korean tertiary teaching and general hospitals publication-title: Int. J. Med. Inf. contributor: fullname: Park – volume: 84 start-page: 198 year: 2015 end-page: 206 ident: bib0060 article-title: Clinical safety of England’s national programme for IT: a retrospective analysis of all reported safety events 2005–2011 publication-title: Int. J. Med. Inf. contributor: fullname: Coiera – volume: 293 start-page: 1197 year: 2005 end-page: 1203 ident: bib0065 article-title: Role of computerized physician order entry systems in facilitating medication errors publication-title: JAMA contributor: fullname: Strom – volume: 83 start-page: 285 year: 2014 end-page: 291 ident: bib0070 article-title: What, if all alerts were specific—estimating the potential impact on drug interaction alert burden publication-title: Int. J. Med. Inf. contributor: fullname: Haefeli – volume: 33 start-page: 1664 year: 2014 end-page: 1671 ident: bib0025 article-title: More than half of US hospitals have at least a basic EHR, but stage 2 criteria remain challenging for most publication-title: Health Affairs (Project Hope) contributor: fullname: Jha – volume: 77 start-page: 539 year: 2008 end-page: 545 ident: bib0080 article-title: Predicting computerized physician order entry system adoption in US hospitals: can the federal mandate be met? publication-title: Int. J. Med. Inf. contributor: fullname: Rudolph – volume: 12 start-page: 642 year: 2005 end-page: 647 ident: bib0010 article-title: Computerized physician order entry and electronic medical record systems in Korean teaching and general hospitals: results of a 2004 survey publication-title: J. Am. Med. Inf. Assoc.: JAMIA contributor: fullname: Hwang – volume: 20 start-page: 183 year: 2014 end-page: 190 ident: bib0085 article-title: Factors affecting electronic medical record system adoption in small Korean hospitals publication-title: Healthcare Inf. Res. contributor: fullname: Lee – volume: 34 start-page: 2174 year: 2015 end-page: 2180 ident: bib0030 article-title: Electronic health record adoption In US Hospitals: progress continues but challenges persist publication-title: Health Affairs (Project Hope) contributor: fullname: Jha – volume: 23 start-page: 242 year: 2016 end-page: 247 ident: bib0090 article-title: Impact of electronic diabetes registry ‘Meaningful Use’ on quality of care and hospital utilization publication-title: J. Am. Med. Inf. Assoc.: JAMIA contributor: fullname: Singh – volume: 27 start-page: 147 year: 2015 end-page: 153 ident: bib0040 article-title: Interoperability after deployment: persistent challenges and regional strategies in Denmark publication-title: Int. J. Q. Health Care: J. Int. Soc. Qual. Health Care/ISQua contributor: fullname: Kierkegaard – volume: 21 start-page: 365 year: 2014 end-page: 370 ident: bib0095 article-title: Health information technology: help or hindrance? publication-title: Adv. Chron. Kidney Dis. contributor: fullname: Ketchersid – volume: 21 start-page: 1053 year: 2014 end-page: 1059 ident: bib0075 article-title: An analysis of electronic health record-related patient safety concerns publication-title: J. Am. Med. Inf. Assoc.: JAMIA contributor: fullname: Singh – volume: 21 start-page: 365 year: 2014 ident: 10.1016/j.ijmedinf.2017.02.009_bib0095 article-title: Health information technology: help or hindrance? publication-title: Adv. Chron. Kidney Dis. doi: 10.1053/j.ackd.2014.02.014 contributor: fullname: Ketchersid – volume: 27 start-page: 147 year: 2015 ident: 10.1016/j.ijmedinf.2017.02.009_bib0040 article-title: Interoperability after deployment: persistent challenges and regional strategies in Denmark publication-title: Int. J. Q. Health Care: J. Int. Soc. Qual. Health Care/ISQua contributor: fullname: Kierkegaard – volume: 20 start-page: 183 year: 2014 ident: 10.1016/j.ijmedinf.2017.02.009_bib0085 article-title: Factors affecting electronic medical record system adoption in small Korean hospitals publication-title: Healthcare Inf. Res. doi: 10.4258/hir.2014.20.3.183 contributor: fullname: Park – volume: 23 start-page: 242 year: 2016 ident: 10.1016/j.ijmedinf.2017.02.009_bib0090 article-title: Impact of electronic diabetes registry ‘Meaningful Use’ on quality of care and hospital utilization publication-title: J. Am. Med. Inf. Assoc.: JAMIA doi: 10.1093/jamia/ocv040 contributor: fullname: Han – volume: 83 start-page: 285 year: 2014 ident: 10.1016/j.ijmedinf.2017.02.009_bib0070 article-title: What, if all alerts were specific—estimating the potential impact on drug interaction alert burden publication-title: Int. J. Med. Inf. doi: 10.1016/j.ijmedinf.2013.12.006 contributor: fullname: Seidling – volume: 12 start-page: 642 year: 2005 ident: 10.1016/j.ijmedinf.2017.02.009_bib0010 article-title: Computerized physician order entry and electronic medical record systems in Korean teaching and general hospitals: results of a 2004 survey publication-title: J. Am. Med. Inf. Assoc.: JAMIA doi: 10.1197/jamia.M1768 contributor: fullname: Park – volume: 81 start-page: 196 year: 2012 ident: 10.1016/j.ijmedinf.2017.02.009_bib0015 article-title: Adoption of electronic health records in Korean tertiary teaching and general hospitals publication-title: Int. J. Med. Inf. doi: 10.1016/j.ijmedinf.2011.12.002 contributor: fullname: Yoon – volume: 34 start-page: 2174 year: 2015 ident: 10.1016/j.ijmedinf.2017.02.009_bib0030 article-title: Electronic health record adoption In US Hospitals: progress continues but challenges persist publication-title: Health Affairs (Project Hope) doi: 10.1377/hlthaff.2015.0992 contributor: fullname: Adler-Milstein – volume: 20 start-page: e2 year: 2013 ident: 10.1016/j.ijmedinf.2017.02.009_bib0050 article-title: Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA publication-title: J. Am. Med. Inf. Assoc.: JAMIA doi: 10.1136/amiajnl-2012-001458 contributor: fullname: Middleton – volume: 17 start-page: 117 year: 2011 ident: 10.1016/j.ijmedinf.2017.02.009_bib0020 article-title: Progress toward meaningful use: hospitals’ adoption of electronic health records publication-title: Am. J. Manag. Care contributor: fullname: Jha – volume: 108 start-page: E75 year: 2001 ident: 10.1016/j.ijmedinf.2017.02.009_bib0055 article-title: Development and impact of a computerized pediatric antiinfective decision support program publication-title: Pediatrics doi: 10.1542/peds.108.4.e75 contributor: fullname: Mullett – volume: 21 start-page: 1053 year: 2014 ident: 10.1016/j.ijmedinf.2017.02.009_bib0075 article-title: An analysis of electronic health record-related patient safety concerns publication-title: J. Am. Med. Inf. Assoc.: JAMIA doi: 10.1136/amiajnl-2013-002578 contributor: fullname: Meeks – volume: 360 start-page: 1628 year: 2009 ident: 10.1016/j.ijmedinf.2017.02.009_bib0005 article-title: Use of electronic health records in U.S. hospitals publication-title: New Engl. J. Med. doi: 10.1056/NEJMsa0900592 contributor: fullname: Jha – volume: 77 start-page: 539 year: 2008 ident: 10.1016/j.ijmedinf.2017.02.009_bib0080 article-title: Predicting computerized physician order entry system adoption in US hospitals: can the federal mandate be met? publication-title: Int. J. Med. Inf. doi: 10.1016/j.ijmedinf.2007.10.009 contributor: fullname: Ford – volume: 21 start-page: 21 year: 2015 ident: 10.1016/j.ijmedinf.2017.02.009_bib0100 article-title: Developing a common health information exchange platform to implement a nationwide health information network in South Korea publication-title: Healthcare Inf. Res. doi: 10.4258/hir.2015.21.1.21 contributor: fullname: Lee – volume: 32 start-page: 1478 year: 2013 ident: 10.1016/j.ijmedinf.2017.02.009_bib0035 article-title: Adoption of electronic health records grows rapidly, but fewer than half of US hospitals had at least a basic system in 2012 publication-title: Health Affairs (Project Hope) doi: 10.1377/hlthaff.2013.0308 contributor: fullname: DesRoches – volume: 313 start-page: 2181 year: 2015 ident: 10.1016/j.ijmedinf.2017.02.009_bib0045 article-title: Appropriateness of advanced diagnostic imaging ordering before and after implementation of clinical decision support systems publication-title: JAMA doi: 10.1001/jama.2015.5089 contributor: fullname: Hussey – volume: 293 start-page: 1197 year: 2005 ident: 10.1016/j.ijmedinf.2017.02.009_bib0065 article-title: Role of computerized physician order entry systems in facilitating medication errors publication-title: JAMA doi: 10.1001/jama.293.10.1197 contributor: fullname: Koppel – volume: 33 start-page: 1664 year: 2014 ident: 10.1016/j.ijmedinf.2017.02.009_bib0025 article-title: More than half of US hospitals have at least a basic EHR, but stage 2 criteria remain challenging for most publication-title: Health Affairs (Project Hope) doi: 10.1377/hlthaff.2014.0453 contributor: fullname: Adler-Milstein – volume: 84 start-page: 198 year: 2015 ident: 10.1016/j.ijmedinf.2017.02.009_bib0060 article-title: Clinical safety of England’s national programme for IT: a retrospective analysis of all reported safety events 2005–2011 publication-title: Int. J. Med. Inf. doi: 10.1016/j.ijmedinf.2014.12.003 contributor: fullname: Magrabi |
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| Snippet | Highlights • We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015 and to compare the findings with equivalent South Korean data from... •We aimed to evaluate the rate of adoption of EHR systems in South Korea in 2015.•We compared the findings with equivalent South Korean data from 2010, as well... The adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United... OBJECTIVEThe adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the... |
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| SubjectTerms | Electronic health records Electronic Health Records - statistics & numerical data Electronic Health Records - utilization Hospital information systems Hospitals, General - statistics & numerical data Hospitals, Teaching - statistics & numerical data Humans Internal Medicine Medical order entry systems Other Practice Management, Medical Republic of Korea |
| Title | Rate of electronic health record adoption in South Korea: A nation-wide survey |
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