How Do EHRs and a Meaningful Use Initiative Affect Breaches of Patient Information?
Published Online:19 Jul 2019https://doi.org/10.1287/isre.2019.0858
References
- (2016) The hidden costs of a data breach. J. Accountancy (July 25), https://www.journalofaccountancy.com/news/2016/jul/hidden-costs-of-data-breach-201614870.html.Google Scholar
- (2018) A data analytics approach to the cybercrime underground economy. IEEE Access 6:26636–26652.Crossref, Google Scholar
- (2011) The digitization of healthcare: Boundary risks, emotion, and consumer willingness to disclose personal health information. Inform. Systems Res. 22(3):469–490.Link, Google Scholar
- (2009) Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quart. 33(2):339–370.Crossref, Google Scholar
- (2010) Social contagion and information technology diffusion: The adoption of electronic medical records in U.S. hospitals. Management Sci. 56(8):1219–1241.Link, Google Scholar
- (2017) When do IT security investments matter? Accounting for the influence of institutional factors in the context of healthcare data breaches. MIS Quart. 41(3):893–916.Crossref, Google Scholar
- (2012) Meaningful use of electronic health record systems and process quality of care: Evidence from a panel data analysis of U.S. acute-care hospitals. Health Services Res. 48(2 Pt 1):354–375.Google Scholar
- (2015) Incentivizing health information exchange adoption through alternative payment models. Workshop Inform. Systems Econom., Dallas.Google Scholar
- (1995) Information technologies and business value: An analytic and empirical investigation. Inform. Systems Res. 6(1):3–23.Link, Google Scholar
- (2000) Information technology and business performance: Past, present and future. Zmud RW, ed. Framing the Domains of IT Management Research: Glimpsing the Future Through the Past (Pinnaflex Educational Resources, Cincinnati).Google Scholar
- (2014) Electronic medical records and physician productivity: Evidence from panel data analysis. Management Sci. 60(10):2543–2562.Link, Google Scholar
- (2010) The “meaningful use” regulation for electronic health records. New England J. Medicine 363(6):501–504.Crossref, Google Scholar
- (1989) An econometric analysis of the bank credit scoring problem. J. Econometrics 40(1):3–14.Crossref, Google Scholar
- (2011) The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs 30(3):464–471.Crossref, Google Scholar
- (2013) EHR systems and decreased productivity: What’s wrong? EHR Science (June 25), https://www.ehrscience.com/2018/06/25/the-dark-side-of-e-prescribing/.Google Scholar
- . Accessed April 23, 2019, https://www.cms.gov/medicare/e-health/ehealthrecords/index.html.Google Scholar
- (1979) Social change and crime rate trends: A routine activity approach. Amer. Sociol. Rev. 44(4):588–608.Crossref, Google Scholar
- (2005) Phased implementation. Walker JMM, Bieber EJ, Richards F, eds. Implementing an Electronic Health Record System (Springer, New York), 111–119.Crossref, Google Scholar
- (2009) User awareness of security countermeasures and its impact on information systems misuse: A deterrence perspective. Inform. Systems Res. 20(1):79–98.Link, Google Scholar
- (2000) Information technology payoff in the healthcare industry: A longitudinal study. J. Management Inform. Systems 16(4):39–64.Crossref, Google Scholar
- (2003) Performance impacts of information technology: Is actual usage the missing link? Management Sci. 49(3):273–289.Link, Google Scholar
- (1983) The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. Amer. Sociol. Rev. 48(2):147–160.Crossref, Google Scholar
- (2016) Hype and heavy tails: A closer look at data breaches. J. Cybersecurity 2(1):3–14.Google Scholar
- (1997) The assimilation of software process innovations: An organizational learning perspective. Management Sci. 43(10):1345–1363.Link, Google Scholar
- (1999) The illusory diffusion of innovation: An examination of assimilation gaps. Inform. Systems Res. 10(3):255–275.Link, Google Scholar
- (2010) Electronic medical records, nurse staffing, and nurse-sensitive patient outcomes: Evidence from California hospitals, 1998 - 2007. Health Services Res. 45(4):941–962.Crossref, Google Scholar
- (2012) Is patient data better protected in competitive healthcare markets? Workshop Econom. Inform. Security (WEIS), Berlin.Google Scholar
- (2010) Comparative effectiveness of prostate cancer treatments: Evaluating statistical adjustments for confounding in observational data. National J. Cancer Inst. 102(23):1780–1793.Crossref, Google Scholar
- (2012) A multi-level analysis of the impact of health information technology on hospital performance. Internat. Conf. Inform. Systems, Orlando, FL.Google Scholar
- (2008) Groups push physicians and patients to embrace electronic health records. J. Amer. Medical Assoc. 299(5):507–509.Crossref, Google Scholar
- HealthIT (2015) Meaningful use definition & objectives. Accessed February 14, 2015, http://www.healthit.gov/providers-professionals/meaningful-use-definition-objectives.Google Scholar
- (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
- . Accessed April 23, 2019, https://www.himss.org/library/ehr.Google Scholar
- (2012) Major theories of construction accident causation models: A literature review. Internat. J. Adv. Engrg. Tech. 4(2):53–66.Google Scholar
- (2014) Exploring the association between board structure and information security breaches. Asia Pacific J. Inform. Systems 24(4):531–557.Crossref, Google Scholar
- (2017) Cybercrime deterrence and international legislation: Evidence from distributed denial of service attacks. MIS Quart. 41(2):497–523.Crossref, Google Scholar
- (2010) Meaningful use of electronic health records the road ahead. J. Amer. Medical Assoc. 304(15):1709–1710.Crossref, Google Scholar
- (2009) Use of electronic health records in U.S. hospitals. New England J. Medicine 360(16):1628–1638.Crossref, Google Scholar
- (2014) Differential effects of prior experience on the malware resolution process. MIS Quart. 38(3):655–678.Crossref, Google Scholar
- (2016) An empirical analysis of cyber security incidents at a large organization. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2018) Meaningful healthcare security: Does meaningful-use attestation improve information security performance. MIS Quart. 42(4):1043–1067.Crossref, Google Scholar
- (2013) Health-care security strategies for data protection and regulatory compliance. J. Management Inform. Systems 30(2):41–66.Crossref, Google Scholar
- (2014) Proactive vs. reactive security investments in the healthcare sector. MIS Quart. 38(2):451–472.Crossref, Google Scholar
- (2001) Confidentiality and privacy of electronic medical records. J. Amer. Medical Assoc. 285(24):3075–3076.Crossref, Google Scholar
- (2005) A systems analysis of the Ladbroke Grove rail crash. Accident Anal. Prevention 37(2):235–244.Crossref, Google Scholar
- (2009) Avoidance of information technology threats: A theoretical perspective. MIS Quart. 33(1):71–90.Crossref, Google Scholar
- (2014) Beyond adoption: Does meaningful use of EHR improve quality of care? Workshop Inform. Systems Econom. (WISE), Auckland, New Zealand.Google Scholar
- (1994) A methodology for modeling operator errors of commission in probabilistic risk assessment. Reliability Engrg. System Safety 45(1–2):139–157.Crossref, Google Scholar
- (2013) Blunting Damocles’ Sword: A longitudinal model of healthcare IT impact on malpractice insurance premium and quality of patient care. Inform. Systems Res. 24(4):918–932.Link, Google Scholar
- (2009) Privacy protection and technology diffusion: The case of electronic medical records. Management Sci. 55(7):1077–1093.Link, Google Scholar
- (2011a) Encryption and the loss of patient data. J. Policy Anal. Management 30(3):534–556.Crossref, Google Scholar
- (2011b) Can healthcare information technology save babies? J. Political Econom. 119(2):289–324.Crossref, Google Scholar
- (2012) Electronic health records assimilation and physician identity evolution: An identity theory perspective. Inform. System Res. 23(3-part-1):738–760.Google Scholar
- (2011) Learning curves of agents with diverse skills in information technology-enabled physician referral systems. Inform. Systems Res. 22(3):586–605.Link, Google Scholar
- National Learning Consortium (2013) Change management in EHR implementation. National Learning Consortium. Accessed February 10, 2015, http://www.healthit.gov/sites/default/files/nlc_changemanagementprimer.pdf.Google Scholar
- (2010) Operator error and system deficiencies: Analysis of 508 mining incidents and accidents from Queensland, Australia using HFACS. Accident Anal. Prevention 42(4):1379–1385.Crossref, Google Scholar
- Ponemon (2015) Cost of Data Breach Study: Global Analysis (Ponemon Institute, Traverse City, MI).Google Scholar
- (2009) Choice and chance: A conceptual model of paths to information security compromise. Inform. Systems Res. 20(1):121–139.Link, Google Scholar
- (1990) Human Error (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (2000) Human error: Models and management. British Medical J. 320(7237):768–770.Crossref, Google Scholar
- (2001) Applying reason: The human factors analysis and classification system (HFACS). Human Factors Aerospace Safety 1(1):59–86.Google Scholar
- (2009) A methodology for assessing safety programs targeting human error in aviation. Internat. J. Aviation Psych. 19(3):252–269.Crossref, Google Scholar
- (2009) Eight rights of safe electronic health record use. J. Amer. Medical Assoc. 302(10):1111–1113.Crossref, Google Scholar
- (1995) How IT creates business value: A process theory synthesis. Ariav CBD, DeGross J, Hoyer R, Kemerer CF, eds. Proc. 16th Internat. Conf. Inform. Systems, Amsterdam.Google Scholar
- (2007) Analysis of observational studies in the presence of treatment selection bias: Effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods. J. Amer. Medical Assoc. 297(3):278–285.Crossref, Google Scholar
- (2003) Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quart. 27(1):19–49.Crossref, Google Scholar
- (2017) Two-stage residual inclusion estimation: A practitioners guide to Stata implementation. Stata J. 17(4):916–938.Google Scholar
- (2008) Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econom. 27(3):531–543.Crossref, Google Scholar
- (2010) Cohen, Lawrence E., and Marcus K. Felson: Routine activity theory. Cullen FT, Wilcox P, eds. Encyclopedia of Criminological Theory (SAGE Publications, Thousand Oaks, CA), 187–193.Crossref, Google Scholar
- (1981) The demand for deductibles in private health insurance: A probit model with sample selection. J. Econometrics 17(2):229–252.Crossref, Google Scholar
- (2010) Health information exchange: persistent challenges and new strategies. J. Amer. Medical Inform. Assoc. 17(3):288–294.Crossref, Google Scholar
- (2009) Cyberattacks: Does physical boundary matter? Proc. Internat. Conf. Inform. Systems, Phoenix.Google Scholar
- (2015) Insider threats in a financial institution: Analysis of attack-proneness of information systems applications. MIS Quart. 39(1):91–112.Crossref, Google Scholar
- (2016) Hackers, Phishers, and Disappearing Thumb Drives: Lessons Learned from Major Healthcare Data Breaches (The Brookings Institution, Washington, DC).Google Scholar
- (2018) The role of HIPAA in reducing medical data breaches. Milbank Quart. 96(1):144–166.Crossref, Google Scholar
- (2019) See no evil, hear no evil? Dissecting the impact of online hacker forums. MIS Quart. 43(1):73–95.Crossref, Google Scholar
- (2010) Social networks and physician adoption of electronic health records: Insights from an empirical study. J. Amer. Medical Inform. Assoc. 17:328–336.Crossref, Google Scholar
- (2005) Post-adoption variations in usage and value of E-business by organizations: Cross-country evidence from the retail industry. Inform. Systems Res. 16(1):61–84.Link, Google Scholar

