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Role of Electronic Health Records in Enhancing Nursing Documentation in Medical-Surgical Units

Naresh Chand Meena

Abstract

EHR (Electronic Health Records) have become a revolutionary force in contemporary healthcare, especially in relation to advancing the quality and efficiency of nursing documentation in medical-surgical units. This study, which focused on EHR systems to demonstrate documenting practices, found not only that accuracy, accessibility, and standardization of records of care provided to patients improved when documented in EHR, but also that by transitioning from paper-based documentation, EHR supports immediate entry of data, includes features to reduce documentation errors, and expedites communication among interdisciplinary team members in real-time. The EHR electronic document features of medical-surgical units also provide nurses with structures of templates, automated notifications, and other decision-support technologies, which foster more accurate assessment documentation, continuity of care, and adherence to clinical practice guidelines. EHR improves patient safety through improved medication administration records, redundancy of documentation recorded in the medical record, and adoption of health information technology breaking barriers to communication. Challenges to practice associated with EHR include perception of increased workload, training access, and usability flaws; however, EHR ultimately supports evidence-based practice and benefits patient outcomes of care overall. This abstract demonstrates that while EHR may change practices of documentation, nursing patients in medical-surgical units positively strengthens documentation practices and supports the subsequent quality, safety, and efficiency of care delivered in healthcare settings.

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86 https://researchtrendsjournal.com Online at: https://researchtrendsjournal.com ISSN No: 2584-282X Indexed Journal Peer Reviewed Journal INTERNATIONAL JOURNAL OF TRENDS IN EMERGING RESEARCH AND DEVELOPMENT Volume 3; Issue 5; 2025; Page No. 86-89 Received: 02-07-2025 Accepted: 10-09-2025 Published: 12-10-2025 Role of Electronic Health Records in Enhancing Nursing Documentation in Medical-Surgical Units Naresh Chand Meena Associate Professor, Faculty of Nursing, Motherhood University, Roorkee, Haridwar, Medical Surgical Nursing, Uttarakhand, India DOI: https://doi.org/10.5281/zenodo.17455247 Corresponding Author: Naresh Chand Meena Abstract EHR (Electronic Health Records) have become a revolutionary force in contemporary healthcare, especially in relation to advancing the quality and efficiency of nursing documentation in medical-surgical units. This study, which focused on EHR systems to demonstrate documenting practices, found not only that accuracy, accessibility, and standardization of records of care provided to patients improved when documented in EHR, but also that by transitioning from paper-based documentation, EHR supports immediate entry of data, includes features to reduce documentation errors, and expedites communication among interdisciplinary team members in real-time. The EHR electronic document features of medical-surgical units also provide nurses with structures of templates, automated notifications, and other decision-support technologies, which foster more accurate assessment documentation, continuity of care, and adherence to clinical practice guidelines. EHR improves patient safety through improved medication administration records, redundancy of documentation recorded in the medical record, and adoption of health information technology breaking barriers to communication. Challenges to practice associated with EHR include perception of increased workload, training access, and usability flaws; however, EHR ultimately supports evidence-based practice and benefits patient outcomes of care overall. This abstract demonstrates that while EHR may change practices of documentation, nursing patients in medical-surgical units positively strengthens documentation practices and supports the subsequent quality, safety, and efficiency of care delivered in healthcare settings. Keywords: Electronic health records, quality of care, patient safety, indicators, electronic nursing documentation Introduction Nursing documentation is a key part of professional practice that serves both as a communication tool and a legal record of patient care. Medical-surgical units often have patients with complex and ever-changing conditions, so timely and accurate nursing documentation is necessary to provide continuity of care, support patient safety, and support collaborative interdisciplinary practice. Traditionally, nursing documentation was done using paper-based methods that were associated with potential errors, inconsistencies, and lack of accessibility. This raised the urgent need for ways that could support the evolving needs within the healthcare delivery system. Electronic Health Records (EHRs), a technological advancement, are used to address these issues. EHR systems enable real-time patient data collection, storage, and retrieval which has changed how nurses document, access, and use clinical data. EHRs provide nurses with structured templates, standardized terminology, and, and the use of tools that assist with documentation which can minimize redundancy and omissions. EHRs also assist in conducting comprehensive assessments, recording accurate medication administration records, and timely monitoring a patient's change in status within a medical-surgical unit context, which is critical for managing acute and chronic conditions. Furthermore, the implementation of EHRs is aligned with the global health system's goals to improve quality, safety, and efficiency. EHRs help to increase patient-centred care by emphasizing International Journal of Trends in Emerging Research and Development https://researchtrendsjournal.com 87 https://researchtrendsjournal.com evidence-based clinical practice and improving communication among healthcare teams. Nevertheless, challenges persist which can limit adoption of EHRs including system usability, training and education, and documentation burden. As a result, it is important to examine the role of Electronic Health Records in improving nursing documentation in medical-surgical units. This examination does not only allow for the identification of opportunities and limitations associated with EHRs, but also allowed for identification of factors that can help strengthen nursing practice and patient care in hospital settings. Literature Review Introduction Electronic Health Records (EHRs) have been implemented to enhance record-keeping, information access, and patient safety. Nursing documentation - a gist of clinical communication and continuity of care in medicalsurgical units - has been a common subject of investigations of EHRs due to its immediate impact upon processes of care and results. A number of review articles and empirical studies document strengths and persistent difficulties subsequent to implementation of EHRs. 2. Accuracy, Completeness and Standardization One of the systematic and integrative review consistencies is that EHRs can enhance completeness and standardization of nursing documentation by virtue of structured templates, mandatory fields, and standardized nursing languages/care plans. These sorts of functionalities minimize missing information and facilitate better auditing and regulatory compliance. But enhancements are a result of how templates have been constructed as well as whether or not they have been mapped to nursing processes and not workarounds. 3. Documentation Time, Efficiency and Workload - Evidence about time spent on documentation because of EHR is mixed but trending towards modest improvements: some studies and reviews show reduced time spent on documentation and reassignment to direct care activities, while others report initial time burden increases as a function of roll-out and usability. Measurement methodologies vary (selfreport, timestamped logs, timemotion studies) such that studies cannot be compared across studies. Reviews show that better time efficiency is most likely when EHR is optimized locally to workflows and when combined with workflow redesign. 4. Communication, Continuity of Care and Multidisciplinary Integration Operationally accessible and discipline-intergrating EHRs improve communication (e.g., handover, medication reconciliation, test results) particularly in medical-surgical settings where shifts are typical and multidisciplinary teams operate. Several integrative review articles report improved coordination of care when interoperability and role-based access are functioning well and when systems are siloed or poorly integrated, they lead to fragmentation and doubledocumentation. 5. Patient Safety and Quality Outcomes - Several studies correlate EHR-enhanced documentation with measurable quality and safety enhancements (decrease in documentation errors, enhanced medication documentation, enhanced safety check completeness). Causal attribution is tricky, though: improvements tend to be concurrent with more extensive safety programs and process redesign. Design decisions within the system (alerts, defaults, required fields) have a significant impact on whether safety is enhanced or unintentionally compromised (e.g., alert fatigue or auto-population of erroneous information). 6. Usability, Human Factors and Nurse Satisfaction - Usability is consistently identified as a determinant of success. Inadequate design of interfaces adds burden to documentation, interferes with clinical workflows, and leads to nurse dissatisfaction and burnout. Humanfactors design strategies (task analysis, iterative usability testing, clinician co-design) enhance acceptance, productivity, and data quality. Current work emphasizes ongoing evaluation of EHR design, not just at the time of procurement. 7. Training, Competence and Organizational FactorsTraining and continuous education are necessary. Inadequate orientation, low computer literacy, and absence of role-specific training have been linked to poor-quality entries and EHR resistance. Organizational support (superusers, downtime procedures, continuous feedback loops) is again and again mentioned as a mediator between availability of EHRs and enhanced documentation. Electronic Health Records (EHRs) play an important part in improving nursing documentation in medical-surgical units through increased data completeness, traceability, and safety. The Delphi Method is often used in health research to progressively construct expert agreement on measures of care quality, so it is an apt method for assessing the effect of EHRs on nursing documentation practices. EHRs and Nursing Documentation EHRs and electronic nursing records (ENRs) assist nurses to document information about patients more comprehensively and accurately than paperbased systems. They facilitate rapid access, retrieval, and exchange of patient data, hence decreasing documentation time and errors. Research indicates EHRs enhance traceability of vital signs and infusion administration, with significant positive effects on patient safety and quality measures, albeit having some gaps, including traceability of inter-team handovers. Advantages of EHRs in Medical-Surgical Units Better data completeness: EHRs enable nurses to document precise and comprehensive patient information. Better traceability: EHRs allow for easier monitoring of care processes, interventions, and results. Faster efficiency: Electronic documentation enables nurses to accomplish documentation tasks quicker, resulting in more time for direct patient care. Improved patient safety: EHRs minimize medication errors and facilitate improved clinical decision-making. Standardized documentation: EHRs allow for standard data entry and reporting across sites, improving consistency. Delphi Method in Evidence Generation - Delphi Method is a systematic, recursive process where a group of nursing experts examines, analyzes, and concurs on care quality indicators or guidelines pertinent to EHR implementation. It is especially useful where there is a lack of empirical evidence or where expert opinion is required. Utilized for the identification and validation of primary quality and safety indicators impacted by EHRs in nursing. Experts engage in several rounds to improve and score the relevance and feasibility of indicators and enhance the validity of research results. Supports integration of various nursing views into EHR intervention design and evaluation. Key Takeaways EHR implementation on medical-surgical units results in substantial improvements in nursing International Journal of Trends in Emerging Research and Development https://researchtrendsjournal.com 88 https://researchtrendsjournal.com documentation, particularly in vital signs and care processes. The Delphi Method assists in quality indicator validation and guarantees that nursing documentation practice changes are grounded on strong expert consensus. Continuous assessment and adaptation, though, are necessary to fill gaps, such as between teams, and to accommodate digital documentation systems to local realities. References 1. Akinyemi OR, Sibiya MN, Oladimeji O. Communication model enhancement using electronic health record standard for tertiary hospital. South African Journal of Information Management. 2022;24(1):1472. https://doi.org/10.1016/j.technovation.2022.102480 2. Alexander GL, McMullen T. Probing into federal policies and National Academies’ recommendations to adopt health information technology in all US nursing homes. Public Policy & Aging Report. 2023;33(Suppl 1):S28–S34. https://doi.org/10.1093/ppar/prac026 3. Avendano JP, Gallagher DO, Hawes JD, Boyle J, Glasser L, Aryee J, et al. Interfacing with the electronic health record (EHR): a comparative review of modes of documentation. Cureus. 2022;14(6):e26330. https://doi.org/10.7759/cureus.26330 4. Bauer JC, John E, Wood CL, Plass D, Richardson D. Data entry automation improves cost, quality, performance, and job satisfaction in a hospital nursing unit. Journal of Nursing Administration. 2020;50(1):34–39. https://doi.org/10.1097/NNA.0000000000000836 5. Bauer JC, John E, Wood CL, Plass D, Richardson D. Data entry automation improves cost, quality, performance, and job satisfaction in a hospital nursing unit. Journal of Nursing Administration. 2020;50(1):34–39. https://doi.org/10.1097/NNA.0000000000000836 6. Bunce A, Middendorf M, Hoopes M, Donovan J, Gold R. Designing and implementing an electronic health record–embedded card study in primary care: methods and considerations. Annals of Family Medicine. 2022;20(4):348–352. https://doi.org/10.1370/afm.2818 7. Cerchione R, Centobelli P, Riccio E, Abbate S, Oropallo E. Blockchain’s coming to hospital to digitalize healthcare services: designing a distributed electronic health record ecosystem. Technovation. 2023;120:102480. https://doi.org/10.1016/j.technovation.2022.102480 8. Cesare N, Were LP. A multi-step approach to managing missing data in time and patient variant electronic health records. BMC Research Notes. 2022;15(1):64. https://doi.org/10.1186/s13104-022-05911-w 9. Chen Y, Gong Y. Teamwork and patient safety in intensive care units: challenges and opportunities. Studies in Health Technology and Informatics. 2022;290:469–473. https://doi.org/10.3233/SHTI220120 10. Dai Z, He Y, Zhang X, Tian Z, Zhu G, Ren Z, et al. Head and neck dermatofibrosarcoma immunohistochemical protuberans: survival indicators. Oral Diseases. 2023. https://doi.org/10.1111/odi.14495 11. Dickerson A. Nurses’ experiences transitioning from paper to electronic health records: a pilot study [dissertation]. Mount Olive (NC): University of Mount Olive; c2023. 12. Eversberg L, Lambrecht J. Evaluating digital work instructions with augmented reality versus paper-based documents for manual, object-specific repair tasks in a case study with experienced workers. arXiv Preprint. 2023;arXiv:2301.07570. https://doi.org/10.48550/arXiv.2301.07570 13. Gaertner J, Zimmermann F, Simone CB 2nd. The value of patient reported outcomes in palliative radiotherapy: a discussion in light of current findings. Annals of Palliative Medicine. 2023;12(5):1–8. https://doi.org/10.21037/apm-23-147 14. Guyer AC, Macy E, White AA, Kuruvilla ME, Robison RG, Kumar S, et al. Allergy electronic health record documentation: a 2022 work group report of the AAAAI Adverse Reactions to Drugs, Biologicals, and Latex Committee. Journal of Allergy and Clinical Immunology: In Practice. 2022;10(11):2854–2867. https://doi.org/10.1016/j.jaip.2022.08.020 15. Hathaliya JJ, Tanwar S, Tyagi S, Kumar N. Securing electronic healthcare records in healthcare 4.0: a biometric-based approach. Computers and Electrical Engineering. 2019;76:398–410. https://doi.org/10.1016/j.compeleceng.2019.04.017 16. Huang C, Koppel R, McGreevey JD 3rd, Craven CK, Schreiber R. Transitions from one electronic health record to another: challenges, pitfalls, and recommendations. Applied Clinical Informatics. 2020;11(5):742–754. https://doi.org/10.1055/s-00401718535 17. Jhaveri P, Abdulahad D, Fogel B, Chuang C, Lehman E, Chawla L, et al. Impact of scribe intervention on documentation in an outpatient pediatric primary care practice. Academic Pediatrics. 2022;22(2):289–295. https://doi.org/10.1016/j.acap.2021.05.004 18. Joseph MM, Mahajan P, Snow SK, Ku BC, Saidinejad M, Committee on Pediatric Emergency Medicine, et al. Optimizing pediatric patient safety in the emergency care setting. Pediatrics. 2022;150(5):e2022059674. https://doi.org/10.1542/peds.2022-059674 19. Kruk ME, Lewis TP, Arsenault C, Bhutta ZA, Irimu G, Jeong J, et al. Improving health and social systems for all children in LMICs: structural innovations to deliver high-quality services. The Lancet. 2022;399(10339):1681–1694. https://doi.org/10.1016/S0140-6736(21)02532-0 20. Lee MN. Transitioning to electronic safe sleep documentation in the neonatal intensive care unit [thesis]. Baltimore (MD): University of Maryland; 2022. http://hdl.handle.net/10713/18837 21. Lei KC, Loi CI, Cen Z, Li J, Liang Z, Hu H, et al. Adopting an electronic medication administration system in long-term care facilities: a key stakeholder interview study in Macao. Informatics for Health and Social Care. 2023;48(3):1–15. https://doi.org/10.1080/17538157.2023.2165084 22. Lindsay MR, Lytle K. Implementing best practices to redesign workflow and optimize nursing documentation in the electronic health record. Applied Clinical International Journal of Trends in Emerging Research and Development https://researchtrendsjournal.com 89 https://researchtrendsjournal.com Informatics. 2022;13(3):711–719. https://doi.org/10.1055/a-1868-6431 23. Mandato K, Kulhanek B. The impact of inadequate training. In: Healthcare Technology Training: An Evidence-Based Guide for Improved Quality. Cham: Springer International Publishing; c2022. p. 11–17. https://doi.org/10.1007/978-3-031-10322-3_2 24. Maphumulo WT, Bhengu BR. Challenges of quality improvement in the healthcare of South Africa postapartheid: a critical review. Curationis. 2019;42(1):1–9. https://hdl.handle.net/10520/EJC-170ff325f8 25. Bridie M, Fitzgerald S, O'Shea M, Condon C, HartnettCollins G, Clancy M, et al. Electronic nursing documentation interventions to promote or improve patient safety and quality care: a systematic review. Journal of Nursing Management. 2018;27(1):10–27. https://doi.org/10.1111/jonm.12727 26. Mebrahtu TF, Bloor K, Ledward A, Keenan AM, Andre D, Randell R, et al. Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes. Cochrane Database of Systematic Reviews. 2021;3:CD014699. https://doi.org/10.1002/14651858.CD014699 27. Mehta P. Clinical decision support system. In: Health Informatics. New York: Productivity Press; c2022. p. 95–102. 28. Muthelo L, Ntho TA, Mbombi MO, Phukubye TA, Bopape MA, Mothiba TM. A qualitative study on voices of South African learner nurses on occupational health and safety during clinical learning: pre-COVID19 pandemic. Nursing Reports. 2023;13(1):96–108. https://doi.org/10.3390/nursrep13010010 29. Nannini M, Biggeri M, Putoto G. Health coverage and financial protection in Uganda: a political economy perspective. International Journal of Health Policy and Management. 2022;11(9):1894–1904. https://doi.org/10.34172/IJHPM.2021.116 30. Nordo AH, Levaux HP, Becnel LB, Galvez J, Rao P, Stem K, et al. Use of EHR data for clinical research: historical progress and current applications. Learning Health Systems. 2019;3(1):e10076. https://doi.org/10.1002/lrh2.10076 31. Park Y, Bang Y, Kwon J. Clinical decision support system and hospital readmission reduction: evidence from US panel data. Decision Support Systems. 2022;159:113816. https://doi.org/10.1016/j.dss.2022.113816 32. Petersson L, Larsson I, Nygren JM, Nilsen P, Neher M, Reed JE, et al. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research. 2022;22(1):1–16. https://doi.org/10.1186/s12913-022-08215-8 33. Pylypchuk Y, Johnson C. New EHR certification requirements and their association with duplicate tests and images. Journal of the American Medical Informatics Association. 2022;29(8):1391–1399. https://doi.org/10.1093/jamia/ocac076 34. Pyron L, Carter-Templeton H. Improved patient flow and provider efficiency after the implementation of an electronic health record. Computers, Informatics, Nursing. 2019;37(10):513–521. https://doi.org/10.1097/CIN.0000000000000553 35. Reisman M. EHRs: the challenge of making electronic data usable and interoperable. P and T: A PeerReviewed Journal for Formulary Management. 2017;42(9):572–575. 36. Schenk E, Schleyer R, Jones CR, Fincham S, Daratha KB, Monsen KA. Impact of adoption of a comprehensive electronic health record on nursing work and caring efficacy. Computers, Informatics, Nursing. 2018;36(7):331–339. https://doi.org/10.1097/CIN.0000000000000441 37. Subbe CP, Bramley R. Digital NEWS? How to amplify the benefits of NEWS in a digital healthcare system. Clinical Medicine. 2022;22(4):345–350. https://doi.org/10.7861/clinmed.2022-0349 38. Tanwar S, Bhardwaj MS. The impact of information technology on patient health and safety. Journal of Algebraic Statistics. 2022;13(2):779–787. https://doi.org/10.52783/jas.v13i2.222 39. Tubaishat A. The effect of electronic health records on patient safety: a qualitative exploratory study. Informatics for Health and Social Care. 2019;44(1):79– 91. https://doi.org/10.1080/17538157.2017.1398753 40. Vela D, Vela-Gaxha Z, Rexhepi M, Olloni R, Hyseni V, Nallbani R. Efficacy and safety of tocilizumab versus standard care/placebo in patients with COVID19: a systematic review and meta-analysis of randomized clinical trials. British Journal of Clinical Pharmacology. 2022;88(5):1955–1963. https://doi.org/10.1111/bcp.15124 41. Vercell A, Gasteiger N, Yorke J, Dowding D. Patientfacing cancer mobile apps that enable patient-reported outcome data to be collected: a systematic review of content, functionality, quality, and ability to integrate with electronic health records. International Journal of Medical Informatics. 2022;168:104931. https://doi.org/10.1016/j.ijmedinf.2022.104931 42. Wani D, Malhotra M. Does the meaningful use of electronic health records improve patient outcomes? Journal of Operations Management. 2018;60:1–18. https://doi.org/10.1016/j.jom.2018.06.003 43. Youn S, Geismar HN, Pinedo M. Planning and scheduling in healthcare for better care coordination: current understanding, trending topics, and future opportunities. 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