1. Henry J, Pylypchuk Y, Searcy T, Patel V. Adoption of electronic health record systems among US non-federal acute care hospitals: 2008–2015. ONC Data Brief. 2016; 35:1–9.
2. Sabes-Figuera R. European hospital survey: benchmarking deployment of e-Health services (2012–2013). Brussels: European Commission;2013.
3. Codagnone C, Lupianez-Villanueva F. Benchmarking deployment of eHealth among general practitioners (2013): executive summary. Brussels: European Commission;2013.
4. Codagnone C, Lupianez-Villanueva F. Benchmarking deployment of eHealth among general practitioners (2013): final report. Brussels: European Commission;2013.
5. Tundia NL, Kelton CM, Cavanaugh TM, Guo JJ, Hanseman DJ, Heaton PC. The effect of electronic medical record system sophistication on preventive healthcare for women. J Am Med Inform Assoc. 2013; 20(2):268–276.
Article
6. Hart VA. Technology sophistication and outcomes of acute care hospitals in Texas [dissertation]. Arlington (TX): University of Texas at Arlington;2006.
7. Walsh MN, Yancy CW, Albert NM, Curtis AB, Stough WG, Gheorghiade M, et al. Electronic health records and quality of care for heart failure. Am Heart J. 2010; 159(4):635–642.e1.
Article
8. Cebul RD, Love TE, Jain AK, Hebert CJ. Electronic health records and quality of diabetes care. N Engl J Med. 2011; 365(9):825–833.
Article
9. Campanella P, Lovato E, Marone C, Fallacara L, Mancuso A, Ricciardi W, et al. The impact of electronic health records on healthcare quality: a systematic review and meta-analysis. Eur J Public Health. 2016; 26(1):60–64.
Article
10. Furukawa MF. Electronic medical records and the efficiency of hospital emergency departments. Med Care Res Rev. 2011; 68(1):75–95.
Article
11. Park YT, Lee J. Factors affecting electronic medical record system adoption in small korean hospitals. Healthc Inform Res. 2014; 20(3):183–190.
Article
12. Gans D, Kralewski J, Hammons T, Dowd B. Medical groups' adoption of electronic health records and information systems. Health Aff (Millwood). 2005; 24(5):1323–1333.
Article
13. Shields AE, Shin P, Leu MG, Levy DE, Betancourt RM, Hawkins D, et al. Adoption of health information technology in community health centers: results of a national survey. Health Aff (Millwood). 2007; 26(5):1373–1383.
Article
14. Kim YG, Jung K, Park YT, Shin D, Cho SY, Yoon D, et al. Rate of electronic health record adoption in South Korea: a nation-wide survey. Int J Med Inform. 2017; 101:100–107.
Article
15. Kemper AR, Uren RL, Clark SJ. Adoption of electronic health records in primary care pediatric practices. Pediatrics. 2006; 118(1):e20–e24.
Article
16. McKay DT, Brockway DW. Building IT infrastructure for the 1990s. Stage stage. 1989; 9(3):1–11.
17. Nyrhinen M. IT infrastructure: structure, properties and processes. Helsinki, Finland: Helsinki School of Economics;2006.
18. Laudon KC, Laudon JP, Brabston ME. Management information systems: managing the digital firm. 6th Canadian ed. Toronto: Pearson Canada;2013.
19. Scott WR. Organizations: rational, natural, and open systems. 5th ed. Upper Saddle River (NJ): Prentice Hall;2003.
20. Pennings JM. The relevance of the structural-contingency model for organizational effectiveness. Adm Sci Q. 1975; 20(3):393–410.
Article
21. Knoke D. Political networks: the structural perspective. Cambridge, UK: Cambridge University Press;1990.
22. Souther E. Implementation of the electronic medical record: the team approach. Comput Nurs. 2001; 19(2):47–55.
23. duPont NC, Koeninger D, Guyer JD, Travers D. Selecting an electronic medical record system for small physician practices. N C Med J. 2009; 70(5):399–403.
Article
24. Tilahun B, Fritz F. Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals. BMC Med Inform Decis Mak. 2015; 15:61.
Article
25. Park YT, Han D. Current status of electronic medical record systems in hospitals and clinics in Korea. Healthc Inform Res. 2017; 23(3):189–198.
Article
27. Zelmer J, Ronchi E, Hypponen H, Lupianez-Villanueva F, Codagnone C, Nohr C, et al. International health IT benchmarking: learning from cross-country comparisons. J Am Med Inform Assoc. 2017; 24(2):371–379.
Article
28. Lee S, Do H. Comparison and analysis of ISO/IEEE 11073, IHE PCD-01, and HL7 FHIR messages for personal health devices. Healthc Inform Res. 2018; 24(1):46–52.
Article
29. Trudel MC, Marsan J, Pare G, Raymond L, Ortiz de Guinea A, Maillet E, et al. Ceiling effect in EMR system assimilation: a multiple case study in primary care family practices. BMC Med Inform Decis Mak. 2017; 17(1):46.
Article