“Use of Cloning in Electronic Records.” Available at, PriorityHealth. Office of the National Coordinator for Health Information Technology. As discussed previously, concerns with the integrity of information in EHRs continue to rise. Hoffman, Sharona, and Andy Podgurski. Article Download PDF CrossRef View Record in Scopus Google Scholar P. Littlejohns, J.C. Wyatt, L. GarvicanEvaluating computerised health … Medicine (Baltimore). Simborg, Donald W. “There Is No Neutral Position on Fraud!”, Hammond, Kenric W., et al. “EMR Safety in Spotlight After Baby’s Death.”, Karsh, Ben-Tzion, et al. Singh, Hardeep, David C. Classen, and Dean F. Sittig. L. Poissant, J. Pereira, R. Tamblyn, Y. KawasumiThe impact of electronic health records on time efficiency of physicians and nurses: a systematic review. American Health Information Management Association (AHIMA). 2013 Dec;9(4):177-89. doi: 10.1097/PTS.0b013e3182a8c2b2. Change how clinicians do their daily work, thus introducing new potential failure modes. Of the 23 398 citations identified, 47 articles were included in the analysis. “Direct Text Entry in Electronic Progress Notes.”. Demonceau J, Ruppar T, Kristanto P, Hughes DA, Fargher E, Kardas P, De Geest S, Dobbels F, Lewek P, Urquhart J, Vrijens B; ABC project team. “Copy and Paste: A Remediable Hazard of Electronic Health Records.”, O’Reilly, Kevin B. 505-516. A study of records in the Veterans Health Administration’s EHR system found that 84 percent of progress notes contained at least one documentation error, with an average of 7.8 documentation errors per patient.50 Types of errors included copied text, incomplete or inaccurate templates, documentation entered in the wrong patient’s medical record, inconsistent text, and outdated embedded objects.51 Although this study was published 10 years ago, more recent studies are consistent with these findings. Strategies to address EHR usability problems and reduce improper system use include the following: Recommendations for improving EHR documentation creation include the following: As noted above, in order to promote the quality and safety of clinical decision support systems, the risk of patient harm associated with a specific application should be systematically assessed, and quality and safety procedures that are proportional in stringency to the identified clinical risk should be adopted.124 Since risks cannot be eliminated entirely, the goal should be to implement processes that minimize avoidable patient harm and manage known but unavoidable safety hazards.125 For example, safe organizational practices and cultures should be established,126 including training users properly, establishing a working environment that is conducive to safe practices, and ensuring that the decision support system is appropriate for the clinical tasks for which it is being used.127. Although many system developers and policy makers believe that the risks of EHRs are minor and easily manageable, that is not the case.140 Patient safety and quality of care are seriously compromised by flawed EHR system design or functionality or improper use.141 Failure to address information integrity issues in EHR systems will lead to spiraling, rather than declining, healthcare costs and medical errors as a result of the proliferation of new types of patient safety hazards. However, federal oversight alone is insufficient to eliminate EHR-related adverse events. “Are Electronic Medical Records Trustworthy? “E-Health Hazards: Provider Liability and Electronic Health Record Systems,” 1580. Wiysonge CS, Abdullahi LH, Ndze VN, Hussey GD. Lin HL, Wu DC, Cheng SM, Chen CJ, Wang MC, Cheng CA. A systematic review of the literature was performed to examine the impact of electronic health records (EHRs) on documentation time of physicians and nurses and to identify factors that may explain efficiency differences across studies.
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