IMPROVING PATIENT SAFETY AND HOSPITAL SERVICE QUALITY THROUGH ELECTRONIC MEDICAL RECORD: A SYSTEMATIC REVIEW
Abstract
Background: Examines properly implementation of Electronic Medical Records (EMR) which associated with workflows, policies and health services in enhancing patient safety. The electronic medical records have benefit to the patients due to the efficiency in the healthcare process. Therefore, the aim of this study was to examine the literatures on patients safety reporting based on electronic system review and assess the implementation.
Methods: Systematic review with Prisma at the literature published between 2010 – 2019 using three large database: Proquest, Oxford Academic Journals, and Scopus. The eligible articles in this review should show an effect of patient' safety, and product quality in hospital in correlation on using EMR. It must include some effect on medication error, prescribing error, error in the use of EMR that potentially endanger patient safety.
Results:The most important function of EMR implementation is to improve patient safety in hospital and to reduce the cost. EMR reduce excess cost of Hospital Acquired Condition (HAC) by 16%, reduce death due to HAC by 34%. Doctor and nurses believe that the quality of patient data would be better by using EMR as their daily routines.
Conclusion: EMR can improve patient safety due to some skills in technology. Thus, it would not harm to the patients safety. However, the implementation of EMR requires the human skill resources in using technologies, computer and programs.
Keywords : electronic medical record, hospital, patient safety, electronic health record
Downloads
References
Bennett P, Hardiker NR. The use of computerized clinical decision support systems in emergency care: a substantive review of the literature. J Am Med Informatics Assoc [Internet]. 2016 Dec 28 [cited 2017 Nov 23];ocw151. Available from:https://academic.oup.com/jamia/articlelookup/doi/10.1093/jamia/ocw151
Meeks DW, Smith MW, Taylor L, Sittig DF, Scott JM, Singh H. An analysis of electronic health record-related patient safety concerns. J Am Med Informatics Assoc [Internet]. 2014 Nov [cited 2017 Nov 23];21(6):1053–9. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1136/amiajnl-2013-002578
Lambooij MS, Drewes HW, Koster F. Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization. 2017 [cited 2017 Dec 21]; Available from: https://remote- lib.ui.ac.id:6066/docview/1873308585/A94A6FF01B504142PQ/23?accountid=17242
Singer A, Fernandez RD. The effect of electronic medical record system use on communication between pharmacists and prescribers.
BMC Fam Pract [Internet]. 2015 [cited 2017 Dec 21]; Available from: https://remote- lib.ui.ac.id:6066/docview/1779783414/fulltextPDF/A94A6FF01B504142PQ/18?accountid=17242
Alotaibi Y, Federico F. The impact of health information technology on patient safety. Saudi Med J [Internet]. 2017 Dec 3 [cited 2019 Jun 24];38(12):1173–80. Available from: https://www.smj.org.sa/index.php/smj/article/view/smj.2017.12.20631
Tamblyn R, Winslade N, Lee TC, Motulsky A, Meguerditchian A, Bustillo M, et al. Improving patient safety and efficiency of medication reconciliation through the development and adoption of a computer-assisted tool with automated electronic integration of population-based community drug data: the RightRx project. J Am Med Informatics Assoc [Internet]. 2017 Oct 11 [cited 2017 Nov 23]; Available from: http://academic.oup.com/jamia/article/doi/10.1093/jamia/ocx107/4443115/Improving-patient-safety-and-efficiency-of
Hodgson T, Magrabi F, Coiera E. Efficiency and safety of speech recognition for documentation in the electronic health record. [cited
Dec 21]; Available from: https://watermark.silverchair.com/ocx073.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAbwwg gG4BgkqhkiG9w0BBwagggGpMIIBpQIBADCCAZ4GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMth5WbiHb4xyTE3UqA gEQgIIBbzKHxPJehf5foOE3Ep2tDqPorfYdZCMbt7_Q-gGeNmjLaaB1
Amato MG, Salazar A, Hickman T-TT, Quist AJ, Volk LA, Wright A, et al. Computerized prescriber order entry–related patient safety reports: analysis of 2522 medication errors. J Am Med Informatics Assoc [Internet]. 2016 Sep 27 [cited 2017 Nov 23];ocw125. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw125
World Health Organization. Health Care-associated Infections FACT SHEET [Internet]. 2016 [cited 2019 Mar 20]. Available from: https://www.who.int/gpsc/country_work/gpsc_ccisc_fact_sheet_en.pdf
Sittig DF, Classen DC, Singh H. Patient safety goals for the proposed Federal Health Information Technology Safety Center. J Am Med Informatics Assoc [Internet]. 2014 Oct 20 [cited 2017 Nov 23]; Available from: https://academic.oup.com/jamia/article- lookup/doi/10.1136/amiajnl-2014-002988
Georgiou A, Lymer S, Forster M, Strachan M, Graham S, Hirst G, et al. Lessons learned from the introduction of an electronic safety net to enhance test result management in an Australian mothers' hospital. J Am Med Informatics Assoc [Internet]. 2014 Nov [cited 2017 Nov 23];21(6):1104–8. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1136/amiajnl-2013-002466
Hodgson T, Magrabi F, Coiera E. Efficiency and safety of speech recognition for documentation in the electronic health record. J Am Med Informatics Assoc [Internet]. 2017 Nov 1 [cited 2017 Nov 23];24(6):1127–33. Available from: http://academic.oup.com/jamia/article/24/6/1127/4049461/Efficiency-and-safety-of-speech-recognition-for
Burkoski V, Yoon J, Farshait N, Hutchinson D, Collins B, Solomon S, et al. Optimizing Nursing Practice through Integration of Best Practice Guidelines into Electronic Medical Records. Can J Nurs Leadersh [Internet]. 2019 May 7 [cited 2019 Jun 24];32(SP):98–107. Available from: https://www.longwoods.com/content/25811
Yadav S, Kazanji N, K C N, Paudel S, Falatko J, Shoichet S, et al. Comparison of accuracy of physical examination findings in initial progress notes between paper charts and a newly implemented electronic health record. J Am Med Informatics Assoc [Internet]. 2017 Jan [cited 2017 Nov 23];24(1):140–4. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw067
Tamblyn R, Winslade N, Lee TC, Motulsky A, Meguerditchian A, Bustillo M, et al. Improving patient safety and efficiency of medication reconciliation through the development and adoption of a computer-assisted tool with automated electronic integration of population-based community drug data: the RightRx project. J Am Med Informatics Assoc [Internet]. 2018 May 1 [cited 2019 Jun 24];25(5):482–95. Available from: https://academic.oup.com/jamia/article/25/5/482/4443115
Burkoski V, Yoon J, Hutchinson D, Fernandes K, Solomon S, Collins B, et al. Smartphone Technology: Enabling Prioritization of Patient Needs and Enhancing the Nurse-Patient Relationship. Can J Nurs Leadersh [Internet]. 2019 May 7 [cited 2019 Jun 24];32(SP):29–40. Available from: https://www.longwoods.com/content/25816
Ford E, Carroll JA, Smith HE, Scott D, Cassell JA. Extracting information from the text of electronic medical records to improve case detection: a systematic review. J Am Med Informatics Assoc [Internet]. 2016 Sep [cited 2017 Nov 23];23(5):1007–15. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocv180
Manaktala S, Claypool SR. Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality. J Am Med Informatics Assoc [Internet]. 2017 Jan [cited 2017 Nov 23];24(1):88–95. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw056
Huber T, Brinkmann F, Lim S, Schröder C, Stekhoven DJ, Marti WR, et al. Implementation of an IT-guided checklist to improve the quality of medication history records at hospital admission. Int J Clin Pharm [Internet]. 2017 Dec 29 [cited 2019 Jun 24];39(6):1312–9. Available from: http://link.springer.com/10.1007/s11096-017-0545-0
Martin M, Wilson FP. Utility of Electronic Medical Record Alerts to Prevent Drug Nephrotoxicity. Clin J Am Soc Nephrol [Internet]. 2019 Jan 7 [cited 2019 Jun 24];14(1):115–23. Available from: http://cjasn.asnjournals.org/lookup/doi/10.2215/CJN.13841217
Encinosa WE. How Can We Bend the Cost Curve ? Health Information Technology and Its Effects on Hospital Costs , Outcomes , and Patient Safety. 2012;303(4):288–303.
Li YC, Hung MC, Hsiao SJ, Tsai KD, Chang MM. An assessment of patient safety in acupuncture process under EMR support. J Med Syst. 2011;35(6):1447–53.
Moskow JM, Cook N, Champion-Lippmann C, Amofah SA, Garcia AS. Identifying opportunities in EHR to improve the quality of antibiotic allergy data. J Am Med Informatics Assoc [Internet]. 2016 Apr [cited 2017 Nov 23];23(e1):e108–12. Available from: https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocv139
Holden RJ. Cognitive performance-altering effects of electronic medical records: An application of the human factors paradigm for patient safety. Cogn Technol Work. 2011;13(1):11–29.
Adler-Milstein J, Holmgren AJ, Kralovec P, Worzala C, Searcy T, Patel V. Electronic health record adoption in US hospitals: the emergence of a digital "advanced use” divide. J Am Med Informatics Assoc [Internet]. 2017 Nov 1 [cited 2017 Nov 23];24(6):1142–8. Available from: http://academic.oup.com/jamia/article/24/6/1142/4091350/Electronic-health-record-adoption-in-US-hospitals
Brown CL, Mulcaster HL, Triffitt KL, Sittig DF, Ash JS, Reygate K, et al. A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care. J Am Med Informatics Assoc [Internet]. 2016 Aug 30 [cited 2017 Nov 23];ocw119. Available from: https://academic.oup.com/jamia/article- lookup/doi/10.1093/jamia/ocw119
Hui C, Vaillancourt R, Bair L, Wong E, King JW. Accuracy of Adverse Drug Reaction Documentation upon Implementation of an Ambulatory Electronic Health Record System. Drugs - Real World Outcomes [Internet]. 2016 Jun 4 [cited 2019 Jun 24];3(2):231–8. Available from: http://link.springer.com/10.1007/s40801-016-0071-8
Larsen E, Fong A, Wernz C, Ratwani RM. Implications of electronic health record downtime: an analysis of patient safety event reports. J Am Med Informatics Assoc [Internet]. 2017 May 30 [cited 2017 Nov 23]; Available from: https://academic.oup.com/jamia/article- lookup/doi/10.1093/jamia/ocx057
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Each author(s) agree to transfer all copyrights and assign YAYASAN ALIANSI CENDEKIAWAN INDONESIA THAILAND, the Publisher of Proceedings of the International Conference on Applied Science and Health, for the full term of exclusive copyright and any extensions or renewals of that terms thereof throughout the world, including but not limited to publish, disseminate, transmit, store, translate, distribute, sell, republish and use the Contribution and material contained therein in print and electronic form of the journal and in other derivative works, in all languages and any form of media of expression available now or in the future and to license or permit others to do so.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Proceedings of the International Conference on Applied Science and Health is an open access following Creative Commons License Deed – Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Users are allowed to copy and redistribute the material in any medium or format as well as remix, transform, and build upon the material with one condition--appropriate credit is given to the journal.
