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DOI: 10.15265/IY-2016-023
New Unintended Adverse Consequences of Electronic Health Records
Correspondence to:
Publikationsverlauf
10. November 2016
Publikationsdatum:
06. März 2018 (online)
Summary
Although the health information technology industry has made considerable progress in the design, development, implementation, and use of electronic health records (EHRs), the lofty expectations of the early pioneers have not been met. In 2006, the Provider Order Entry Team at Oregon Health & Science University described a set of unintended adverse consequences (UACs), or unpredictable, emergent problems associated with computer-based provider order entry implementation, use, and maintenance. Many of these originally identified UACs have not been completely addressed or alleviated, some have evolved over time, and some new ones have emerged as EHRs became more widely available. The rapid increase in the adoption of EHRs, coupled with the changes in the types and attitudes of clinical users, has led to several new UACs, specifically: complete clinical information unavailable at the point of care; lack of innovations to improve system usability leading to frustrating user experiences; inadvertent disclosure of large amounts of patient-specific information; increased focus on computer-based quality measurement negatively affecting clinical workflows and patient-provider interactions; information overload from marginally useful computer-generated data; and a decline in the development and use of internally-developed EHRs. While each of these new UACs poses significant challenges to EHR developers and users alike, they also offer many opportunities. The challenge for clinical informatics researchers is to continue to refine our current systems while exploring new methods of overcoming these challenges and developing innovations to improve EHR interoperability, usability, security, functionality, clinical quality measurement, and information summarization and display.
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Keywords
Electronic Health Records (EHRs) - usability - confidentiality - quality indicators - data display - medical informatics
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References
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Correspondence to:
-
References
- 1 France FR. eHealth in Belgium, a new “secure” federal network: role of patients, health professions and social security services. Int J Med Inform 2011; 80: e12-6.
- 2 Protti D, Johansen I. Widespread adoption of information technology in primary care physician offices in Denmark: a case study. Issue Brief (Commonw Fund) 2010; 80: 1-14. Available at: http://www.commonwealthfund.org/~/media/Files/Publications/Issue%20Brief/2010/Mar/1379_Protti_widespread_adoption_IT_primary_care_Denmark_intl_ib.pdf (Accessed 1/7/2015).
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- 16 Miller RA, Waitman LR, Chen S, Rosenbloom ST. The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt. J Biomed Inform 2005; Dec 38 (06) 469-85.
- 17 Borst F, Appel R, Baud R, Ligier Y, Scherrer JR. Happy birthday DIOGENE: a hospital information system born 20 years ago. Int J Med Inform 1999; Jun 54 (03) 157-67.
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- 23 Powsner SM, Wyatt JC, Wright P. Opportunities for and challenges of computerisation. Lancet 1998; Nov 14 352 9140 1617-22.
- 24 Reeve J, Hosking R, Allinson Y. Personal electronic health records: the start of a journey. Aust Prescr 2013; 36: 70-3. http://www.australianprescriber.com/magazine/36/3/70/3 (Accessed 1/7/2015).
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- 33 Zhang J, Walji M. editors. Better EHR: Usability, Workflow and Cognitive Support in Electronic Health Records. University of Texas School of Biomedical Informatics at Houston; TX: 2014
- 34 Mathews AW. Anthem: Hacked Database Included 78.8 Million People. The Wall Street Journal, February 24, 2015. Available at: http://www.wsj.com/articles/anthem-hacked-database-included-78-8-million-people-1424807364 (Accessed 12/23/2015).
- 35 Liebowitz M. Stolen laptop puts 30,000 Texas Cancer Center patients at risk. NBCNews.com June 6, 2012. Available at: http://www.nbcnews.com/id/48015851/ns/technology_and_science-security/t/stolen-laptop-puts-texas-cancer-center-patients-risk/ (Accessed 12/23/15).
- 36 Merrill M. Lost TRICARE backup tapes could expose nearly 5 million records. Government Health IT September 29, 2011 Available at: http://www.govhealthit.com/news/lost-tricare-backup-tapes-could-expose-nearly-5-million-records (Accessed 12/23/15).
- 37 Sittig DF, Ash JS, Singh H. The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records. Am J Manag Care 2014; May 20 (05) 418-23.
- 38 Radcliffe J. Hacking(Medical(Devices(for(-Fun(and(Insulin: Breaking the Human SCADA System. Black Hat Conference August 2011 Available at: https://media.blackhat.com/bh-us-11/Radcliffe/BH_US_11_Radcliffe_Hacking_Medical_Devices_WP.pdf (Accessed 1/4/2016).
- 39 Robertson J. Hackers Encrypt Health Records and Hold Data for Ransom. Bloomberg News. August 10, 2012 Available at: http://www.bloomberg.com/news/articles/2012-08-10/hackers-encrypt-health-records-and-hold-data-for-ransom Accessed 1/4/2016.
- 40 Eastwood B. How Boston Children’s Hospital Hit Back at Anonymous. CIO, Sep 15, 2014. Available at: http://www.cio.com/article/2682872/health-care/how-boston-childrens-hospital-hit-back-atanonymous.html.
- 41 Akinyele JA, Pagano MW, Green MD, Lehmann CU, Peterson ZN, Rubin AD. Securing electronic medical records using attribute-based encryption on mobile devices. In Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices 2011 Oct 17 (pp. 75-86). ACM.
- 42 Schweitzer EJ. Reconciliation of the cloud computing model with US federal electronic health record regulations. J Am Med Inform Assoc 2012; Mar 1 19 (02) 161-5.
- 43 Kho AN, Cashy JP, Jackson KL, Pah AR, Goel S, Boehnke J. et al. Design and implementation of a privacy preserving electronic health record linkage tool in Chicago. J Am Med Inform Assoc 2015; Sep 22 (05) 1072-80.
- 44 Zhang R, Liu L. Security models and requirements for healthcare application clouds. InCloud Computing (CLOUD), 2010 IEEE 3rd International Conference on 2010 Jul 5 (pp. 268-275). IEEE;
- 45 Willison D. Privacy and the secondary use of data for health research: experience in Canada and suggested directions forward. J Health Serv Res Policy 2003; Jul 8 Suppl 1:S1: 17-23.
- 46 Safran C, Bloomrosen M, Hammond WE, Labkoff S, Markel-Fox S, Tang PC. et al; Expert Panel. Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Inform Assoc 2007; Jan-Feb 14 (01) 1-9.
- 47 Bowes WA 3rd. Progress and challenge in meeting meaningful use at an integrated delivery network. AMIA Annu Symp Proc 2011; 2011: 144-51.
- 48 Bramwell J. Automation Proves to Be the Right Medicine to Improve Pain Management. Leadership+ Apr 16, 2012. Available at: http://www.hfma.org/Leadership/E-Bulletins/2012/April/Automation_Proves_to_Be_the_Right_Medicine_to_Improve_Pain_Management/ (Accessed 1/4/2016).
- 49 Cusack CM, Hripcsak G, Bloomrosen M, Rosen-bloom ST, Weaver CA, Wright A. et al. The future state of clinical data capture and documentation: a report from AMIA’s 2011 Policy Meeting. J Am Med Inform Assoc 2013; Jan 1 20 (01) 134-40. doi: 10.1136/amiajnl-2012-001093.
- 50 Upadhyay DK, Sittig DF, Singh H. Ebola US Patient Zero: lessons on misdiagnosis and effective use of electronic health records. Diagnosis 2014 doi: 10.1515/dx-2014-0064 Available at: http://www.degruyter.com/view/j/dx.ahead-of-print/dx-2014-0064/dx-2014-0064.xml.
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