Quang "Neo" Bui
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New York State healthcare providers increased their use of the technology but delivered only mixed results for their patients.
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Appendix to "The productivity paradox in health information technology"
- Adler-Milstein, J., Bates, D.W., and Jha, A.K. A survey of health information exchange organizations in the United States: Implications for meaningful use. Annals of Internal Medicine 154, 10 (May 2011), 666--671.Google Scholar
Cross Ref
- Bagayogo, F.F., Lapointe, L., and Bassellier, G. Enhanced use of IT: A new perspective on post-adoption. Journal of the Association for Information Systems 15, 7 (July 2014). 361--387.Google ScholarCross Ref
- Blumenthal, D. and Tavenner, M. The 'meaningful use' regulation for electronic health records. The New England Journal of Medicine 363, 6 (Aug. 5, 2010), 501--504.Google ScholarCross Ref
- Boyatzis, R.E. Transforming Qualitative Information: Thematic Analysis and Code Development. Sage Publications, Thousand Oaks, CA, 1998.Google Scholar
- Brynjolfsson, E. The productivity paradox of information technology. Commun. ACM 36, 12 (Dec. 1993), 66--77. Google ScholarDigital Library
- Brynjolfsson, E. and Hitt, L.M. Beyond the productivity paradox. Commun. ACM 41, 8 (Aug. 1998), 49--55. Google ScholarDigital Library
- Buntin, M.B., Burke, M.F., Hoaglin, M.C., and Blumenthal, D. The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs 30, 3 (2011), 464--471.Google ScholarCross Ref
- Burton-Jones, A. and Grange, C. From use to effective use: A representation theory perspective. Information Systems Research 24, 3 (Mar. 2012), 632--658.Google Scholar
- Chari, M.D., Devaraj, S., and David, P. The impact of information technology investments and diversification strategies on firm performance. Management Science 54, 1 (Jan. 2008), 224--234. Google ScholarDigital Library
- Cho, K.W., Bae, S.-K., Ryu, J.-H., Kim, K.N., An, C.-H., and Chae, Y.M. Performance evaluation of public hospital information systems by the information system success model. Healthcare Informatics Research 21, 1 (Jan. 2015), 43--48.Google ScholarCross Ref
- David, P.A. The dynamo and the computer: An historical perspective on the modern productivity paradox. The American Economic Review 80, 2 (May 1990), 355--361.Google Scholar
- Dedrick, J., Gurbaxani, V., and Kraemer, K.L. Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys 35, 1 (Mar. 2003), 1--28. Google ScholarDigital Library
- Devaraj, S. and Kohli, R. Information technology payoff in the healthcare industry: A longitudinal study. Journal of Management Information Systems 16, 4 (Apr. 2000), 41--67. Google ScholarDigital Library
- Government Accountability Office. Electronic Health Record Programs: Participation Has Increased, but Action Is Needed to Achieve Goals, Including Improved Quality of Care. Washington, D.C., 2014; https://www.gao.gov/assets/670/661399.pdfGoogle Scholar
- Harrison, M.I., Koppel, R., and Bar-Lev, S. Unintended consequences of information technologies in health care: An interactive sociotechnical analysis. Journal of the American Medical Informatics Association 14, 5 (Sept. 2007), 542--549.Google ScholarCross Ref
- Jha, A.K., Burke, M.F., DesRoches, C., Joshi, M.S., Kralovec, P.D., Campbell, E.G., and Buntin, M.B. Progress toward meaningful use: Hospitals' adoption of electronic health records. American Journal of Managed Care 17, 12 (Dec. 2011), 117--124.Google Scholar
- Jones, S.S., Heaton, P.S., Rudin, R.S., and Schneider, E.C. Unraveling the IT Productivity Paradox: Lessons for Health Care. The New England Journal of Medicine 366, 24 (June 14, 2012), 2243--2245.Google ScholarCross Ref
- Jones, S.S., Rudin, R.S., Perry, T., and Shekelle, P.G. Health information technology: An updated systematic review with a focus on meaningful use. Annals of Internal Medicine 160, 1 (Jan. 2014), 48--54.Google ScholarCross Ref
- Lapointe, L. The IT productivity paradox in health: A stakeholder's perspective. International Journal of Medical Informatics 80, 2 (Feb. 2011), 102--115.Google ScholarCross Ref
- Leidner, D.E., Preston, D., and Chen, D. An examination of the antecedents and consequences of organizational IT innovation in hospitals. Journal of Strategic Information Systems 19, 3 (Sept. 2010), 154--170. Google ScholarDigital Library
- Menon, N.M., Yaylacicegi, U., and Cezar, A. Differential effects of the two types of information systems: A hospital-based study. Journal of Management Information Systems 26, 1 (July 2009), 297--316. Google ScholarDigital Library
- New York eHealth Collaborative. State HIE Cooperative Agreement Program Strategic Plan. New York, 2009; https://www.healthit.gov/topic/onc-hitech-programs/state-health-information-exchangeGoogle Scholar
- Panko, R.R. Is office productivity stagnant? MIS Quarterly 15, 2 (June 1991), 191--203. Google ScholarDigital Library
- Payne, P.R.O., Lussier, Y., Foraker, R.E., and Embi, P.J. Rethinking the role and impact of health information technology: Informatics as an interventional discipline. BMC Medical Informatics and Decision Making 16, 40 (Mar. 29, 2016), 1--7.Google ScholarCross Ref
- Rosenbaum, L. Transitional chaos or enduring harm? The EHR and the disruption of medicine. The New England Journal of Medicine 373, 17 (Oct. 22, 2015), 1585--1588.Google ScholarCross Ref
- Rudin, R.S., Motala, A., Goldzweig, C.L., and Shekelle, P.G. Usage and effect of health information exchange: A systematic review. Annals of Internal Medicine 161, 11 (Dec. 2014), 803--812.Google ScholarCross Ref
- Rupasingha, A., Goetz, S.J., and Freshwater, D. The production of social capital in U.S. counties. The Journal of Socio-Economics 35, 1 (Feb. 2006), 83--101.Google ScholarCross Ref
- Schryen, G. Revisiting IS business value research: What we already know, what we still need to know, and how we can get there. European Journal of Information Systems 22, 2 (Mar. 2013), 139--169.Google ScholarCross Ref
- Sharma, L., Chandrasekaran, A., Boyer, K.K., and McDermott, C.M. The impact of health information technology bundles on hospital performance: An econometric study. Journal of Operations Management 41 (Jan. 2016), 25--41.Google ScholarDigital Library
- Vest, J.R. and Gamm, L.D. Health information exchange: Persistent challenges and new strategies. Journal of the American Medical Informatics Association 17, 3 (May 2010), 288--294.Google ScholarCross Ref
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- The productivity paradox in health information technology
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