Posted: July 7th, 2024

Impact of Nursing Informatics Research Essay

Here’s the edited version of the article with the requested changes and additional references:
Impact of Nursing Informatics
The rapid evolution of healthcare technology has fundamentally transformed patient care and data management practices. The nursing informatics project aims to establish a comprehensive electronic health record for the healthcare facility. The electronic health record project will comprise a platform to store patients’ data securely (Dunn Lopez et al., 2017). The data will be stored in a system protected against fire and other hazards. The comprehensive approach of the project ensures health records will include patients’ profiles, treatment history, medication records, nursing notes, test results, and progress notes. The electronic record will incorporate robust security systems to prevent unauthorized access. The project’s purpose is to enhance the efficiency of information access and improve data accuracy when prescribing drugs (Field, Fong & Shade, 2018). Medical specialists within the health facility can transmit or access the data as needed.
This innovative system will significantly improve patient care quality, reduce medical errors, and streamline healthcare processes. It will also facilitate better communication among healthcare providers, leading to more coordinated and effective treatment plans. The implementation of electronic health records will require ongoing staff training and regular system updates to ensure optimal performance and compliance with evolving healthcare regulations. As McGonigle and Mastrian (2024) note, the foundation of nursing informatics knowledge is crucial for successful implementation and utilization of these systems.
The project will require the input of various stakeholders and will change how various healthcare providers operate. Electronic health records will eliminate cases of mistakes that lead to medical complications or errors (Welton & Harper, 2015). Therefore, it will affect the patients by improving the quality of patient care they should expect from the facility. It will affect the patients since their health records will be stored securely. When patients return after a long time, it will be easy to view their history and assess their condition (Gephart, Carrington & Finley, 2015). Patients will also be secure from misdiagnosis or wrong drug prescription since the system will be automated with the nursing notes. Therefore, every patient will receive the right drugs.
The implementation of electronic health records will also enhance patient engagement and empowerment. Patients can access their health information through secure patient portals, allowing them to actively participate in their healthcare decisions. This increased transparency can lead to better patient compliance with treatment plans and improved overall health outcomes. Additionally, the system can support population health management by identifying trends and patterns in patient data. Peltonen et al. (2023) highlight the potential of nursing informatics to contribute to broader health initiatives, such as the One Health approach.
The project will also impact the hospital and the healthcare providers. They will have easy access to the information they need about their patients. Easy access will save time. Previously, nurses had to look for files manually and in some cases, the files could go missing (Westra et al., 2015). Medical errors were also likely to occur while files were being transferred. The hospital will not receive any legal cases due to exposing patients’ information to unauthorized people (Kleib, Simpson & Rhodes, 2016). The reason is that in the past, files could be stolen. However, in the case of electronic health records, they are secure and it is only the authorized people who can access the information.
Furthermore, the implementation of electronic health records will contribute to more efficient resource allocation within the hospital. By analyzing data trends, administrators can optimize staffing levels, manage inventory more effectively, and streamline operational processes. This can lead to significant cost savings and improved overall hospital performance. The system also facilitates easier compliance with regulatory requirements and supports quality improvement initiatives through comprehensive data analysis capabilities. Saxena et al. (2023) discuss the potential impact of artificial intelligence on healthcare informatics, which could further enhance these capabilities in the future.
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References
Dunn Lopez, K., Gephart, S. M., Raszewski, R., Sousa, V., Shehorn, L. E., & Abraham, J. (2017). An integrative review of clinical decision support for registered nurses in acute care settings. Journal of the American Medical Informatics Association, 24(2), 441-450.
Field, M., Fong, K., & Shade, C. (2018). Use of electronic visibility boards to improve patient care quality, safety, and flow on inpatient pediatric acute care units. Journal of pediatric nursing, 41, 69-76.
Gephart, S., Carrington, J. M., & Finley, B. (2015). A systematic review of nurses’ experiences with unintended consequences when using the electronic health record. Nursing administration quarterly, 39(4), 345-356.
Kleib, M., Simpson, N., & Rhodes, B. (2016). Information and communication technology: design, delivery, and outcomes from a nursing informatics boot camp. The Online Journal of Issues in Nursing, 21(2).
McGonigle, D. and Mastrian, K., 2024. Nursing informatics and the foundation of knowledge. Jones & Bartlett Learning.
Peltonen, L.M., O’Connor, S., Conway, A., Cook, R., Currie, L.M., Goossen, W., Hardiker, N.R., Kinnunen, U.M., Ronquillo, C.E., Topaz, M. and Rotegård, A.K., 2023. Nursing Informatics’ Contribution to One Health. Yearbook of medical informatics, 32(01), pp.065-075.
Saxena, P.D., Mayi, K., Arun, R., Kumar, S.S., Mishra, B.R. and Praveen, K.B., 2023. Impact of Artificial Intelligence on Healthcare Informatics: Opportunities and Challenges. Journal of Informatics Education and Research, 3(2).
Welton, J. M., & Harper, E. M. (2015). Nursing care value-based financial models. Nursing Economics, 33(1), 14.
Westra, B. L., Clancy, T. R., Sensmeier, J., Warren, J. J., Weaver, C., & Delaney, C. W. (2015). Nursing knowledge: big data science—implications for nurse leaders. Nursing administration quarterly, 39(4), 304-310.

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Tags: Electronic Health Records (EHR), Healthcare essays, Healthcare Technology, Nursing Informatics