NURS FPX 6422 Assessment 4 Making Decisions to Use Informatics Systems in Practice
Student name
Capella University
NURS-FPX6422
Professor Name
Submission Date
Making Decisions to Use Informatics Systems in Practice
Healthcare organizations should establish systematic patterns in their decision-making process on the appropriateness of the informatics systems to be deployed in clinical practice. Multidisciplinary committees, including clinicians, IT specialists, administrators, and end-users, are used in the selection process to check the abilities of the software against the demands of the organizations and the requirements of evidence-based practice (Musen et al., 2021). When developing decision frameworks, there should be in-depth cost-benefit analysis, workflow implications assessment, interoperability requirements, and patient safety considerations. The primary purpose of the evaluation should be to present the list of policies and guidelines to the informatics staff so that they are prepared to make decisions regarding the application of the informatics system to practice.
Practice Site Situation
In the morning shift at Metropolitan Outpatient Healthcare Facility, which has 15,000 patients, a physician meets with a 65-year-old diabetic patient in follow-up care. Upon opening the electronic health record (EHR) of a patient, there are various clinical decision support warnings: mammography screening is not completed, flu vaccination is not done, and HbA1c is out of range. The evidence-based protocol of the system implies the enhancement of the work on diabetes care and the arrangement of preventive screenings. Nevertheless, the doctor realizes that the warning messages are disrupting the workflow, and they are leading to postponements with other patients standing in line. The provider must think about managing all recommendations immediately or prioritizing urgent health requirements, in addition to care being based on fresh evidence, and patients being handled efficiently during the daily clinic operations.
Evaluation of the Electronic Health Record System
The Metropolitan Outpatient Healthcare Facility has an electronic health record (EHR) system that unites a system of decision support, guidelines, and real-time data analysis to enhance clinical judgments when patients visit the facility (Weiner et al., 2022). This system has automated alerts on drugs, good medical practice, and check-ups, which occur together when a provider accesses the record of a patient, as it was recorded in the case of a diabetic patient visit. Even though the EHR system has recommendations grounded in best practices, its frequent alerts disrupt the workflow and may be challenging to manage among busy clinicians (Solomon et al., 2023). With the help of advanced analytics, health managers are able to identify patients who require additional care and monitor the quality of care across the whole 15,000-patient sample, where the notification would be available in real-time to facilitate preventative measures. The system aids in sharing information in a seamless manner and supports ongoing patient care, though providers must balance the delivery of all suggested attention and manage efficiency in the daily directions of working in the lines (Li et al., 2022).
Analysis of the Work Setting Using Evidence-Based Practice
An extensive outpatient health care facility operates in an environment that is quite challenging, as different specialties and cohorts of patients have to be accommodated; thus, through evidence-based practices, it is possible to enhance the outcomes and workloads of the office. Because the facility is mainly dealing with children, the elderly, and the adult population of various economic statuses, there is a need to be attentive to evidence-based treatment and care in controlling chronic illnesses, in avoiding illnesses, and addressing general health needs, in particular, those dealing with diabetes. The professionals in the team structure can collaborate; however, they also encounter obstacles in having to work on alerts in the EHR and patient schedules. Studies show that healthcare organizations need to adopt systematic decision-making models when adopting informatics systems since this approach will guarantee maximum integration with clinical processes (Pascoe et al., 2024). Moreover, it will be impossible to implement it successfully without a significant evaluation of the workflow impact, and interoperability needs to be ensured to support clinical effectiveness and operational efficiency (Pijnen, 2022). The present trends in workflow demonstrate the conflict between comprehensive evidence-based care provision and clinical efficiency since parallel alerts of clinical decision support may disrupt the professional workflows and create a time management problem over the course of the clinical sessions when working in a busy environment (Sutton et al., 2020). The emphasis of the facility on prevention and chronic illness management is consistent with the evidence-based approach to population health; however, the 15,000-patient population demands that the providers of the facility make immediate clinical decisions regarding the priorities between the urgent provision of clinical services and lasting adherence to the alerts. The metropolitan location offers a wide range of patients but requires effective workflow optimization.
Analysis of EHR System Supports Strategic Plan
The EHR system is directly aligned to the strategic plan of the organization because of the extensive data analytics that the system offers, which allows for making evidence-based decisions on the population health management and quality improvement programs. The reporting feature of the system enables the leadership to monitor key performance indicators, such as the rates of preventive care completion, chronic disease management, and patient satisfaction scores, which is consistent with the strategic objective of the facility, which is to increase the quality of healthcare in all service lines (Tsai et al., 2020). The connection with clinical guidelines databases will guarantee that care guidelines will keep up with changes in evidence-based standards to support the goal of the organization to provide high-quality and evidence-based care. The population health module of the system identifies patients who need preventive interventions, and this allows proactive outreach programs to be undertaken, which are in line with the strategic goal of changing the paradigms of care delivery, moving towards progressive care delivery models of care. Value-based care initiatives are supported by advanced analytics that provide data to managers and administrators in order to make strategic planning and resource allocation decisions, based on metrics of cost-effectiveness and patient outcomes (Upadhyay & Hu, 2022). The interoperability characteristics of the EHR can help the organization to join regional health information exchanges and clinical research programs, as well as the organization’s strategic goal of the organization to promote evidence-based practice by means of partnerships (Holmgren et al., 2023). The use of real-time dashboards and automated reporting will allow for continuous monitoring and continuous improvement of quality, and achieve the strategic objectives with the help of systematic implementation of evidence-based practice.
Analysis of EHR System Creates Efficient Workflows and Safe Practice
The EHR system improves the efficiency of workflow by removing redundancy of data entry, softwareizing routine activities, and accessing real-time information about patients of all service lines and types of providers. The built-in clinical decision support tools on the system facilitate the minimization of medical errors by offering drug interaction warnings, allergy warnings, and treatment recommendations based on evidence at the point of care (Syrowatka et al., 2024). Automated workflow tools, such as the ability to book appointments and refill prescriptions as well as receive test results, help to simplify the work of the administration and decrease patient wait times, but enable the clinical staff to engage in direct patient care activities (Olakotan and Yusof, 2021). The template-based documentation of the system will provide consistent, extensive charting and will save time and enhance the documentation accuracy of clinical records among the multidisciplinary team. Having electronic prescribing capability eradicates mistakes in handwriting, offers real-time insurance status confirmation, and contains dosing and drug interaction safety controls, improving medication safety in the context of a diverse patient population (Hareem et al., 2023). The use of integrated communication tools helps to support secure messaging among providers and minimizes the number of phone calls and enhancing care coordination efficiency. With quality metrics and automatic reports, there will be an opportunity to constantly consider the workflow in order to ensure that efficiency will not be obtained at the cost of rigid evidence-based norms (Lee et al., 2025). Mobile devices help providers to access and update patient information and, hence, are more convenient in serving patients in various settings.
Assessment of EHR System
The EHR enables all the members of the team to work more effectively, as all get access to complete patient information, can record and share the information, as well as organize care procedures across all services at the same time. Physicians, nurse practitioners, registered nurses, and medical assistants can conveniently contact each other using secure messaging and make timely decisions jointly, which eventually contributes to improved patient outcomes (Lou et al., 2024). By this feature, all specialists involved can manage aspects such as patient progress, appointments, and medication use. Patients tend to increase their engagement and satisfaction when they are able to use the portal to receive information, communicate with their providers, schedule appointments, and access test results (Bao et al., 2020). Their experience becomes better when patients are provided with reminders and notified about the need to refill their medication and/or take preventive measures (Gunderson et al., 2021). Adapting education materials to the needs and abilities of every patient can assist the health care provider and the patient in making mutual decisions and comprehending care plans. Real-time availability of patient records enables quick action by providers, reduces wait time, and enhances care (Kumari and Chander, 2024). Virtual meetings are an added value by providing patients with additional access points to care, as they will be satisfied and will continue to receive high-quality cooperation among staff (Ezeamii, 2024).
Conclusion
In order to evaluate informatics tools, healthcare organizations need to utilize full frameworks to ensure that they fulfill not only the requirements of evidence-based use but also that they are applicable in daily practice. The facilitation of clinical decision support tools in the Metropolitan Outpatient Healthcare Facility proves their benefits as well as weaknesses. Though the system aids doctors in providing evidence-based care by reminding and supplying them with population-based data, the doctors lack time, as most of the recommendations conflict with the intention of treating patients effectively. This is because, to guarantee quality care delivery, technology must be tuned to perfection indefinitely
References
Bao, C., Bardhan, I. R., Singh, H., Meyer, B. A., & Kirksey, K. (2020). Patient–provider engagement and its impact on health outcomes: A longitudinal study of patient portal use. Journal of Management Information Systems Quarterly, 44(2), 699–723. https://doi.org/10.25300/misq/2020/14180
Evans, C. S., Bunn, B., Reeder, T., Patterson, L., Gertsch, D., & Medford, R. J. (2024). Standardization of emergency department clinical note templates: A retrospective analysis across an integrated health system. Applied Clinical Informatics, 15(02), 397–403. https://doi.org/10.1055/a-2301-7496
Ezeamii, V. C. (2024). Revolutionizing healthcare: How telemedicine is improving patient outcomes and expanding access to care. Cureus, 16(7), 63881. https://doi.org/10.7759/cureus.63881
Gencturk, M., Erturkmen, G. B. L., Akpinar, A. E., Pournik, O., Ahmad, B., Arvanitis, T. N., Barzynski, W. S., Robbins, T., Corcoles, R. A., & Abizanda, P. (2024). Transforming evidence-based clinical guidelines into implementable clinical decision support services: The CAREPATH study for multimorbidity management. Frontiers in Medicine, 11, 1386689. https://doi.org/10.3389/fmed.2024.1386689
Gunderson, E. G., Newell, B. J., Rohling, B. J., Melton, B. L., & Robertson, A. D. (2021). Impact of automated notifications on prescription abandonment. Journal of Pharmacy Practice, 35(5), 711–715. https://doi.org/10.1177/08971900211004829
Hareem, A., Lee, J., Stupans, I., Park, A., & Wang, K. (2023). Benefits and barriers associated with e-prescribing in community pharmacy – A systematic review. Exploratory Research in Clinical and Social Pharmacy, 12(12), 100375. https://doi.org/10.1016/j.rcsop.2023.100375
Holmgren, A., Esdar, M., Hüsers, J., & Almeida, J. C. (2023). Health information exchange: Understanding the policy landscape and future of data interoperability. Yearbook of Medical Informatics, 32(1). https://doi.org/10.1055/s-0043-1768719
Janett, R. S., & Yeracaris, P. P. (2020). Electronic medical records in the American Health System: Challenges and lessons learned. Ciência & Saúde Coletiva, 25(4), 1293–1304. https://doi.org/10.1590/1413-81232020254.28922019
Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Effects of electronic health record implementation and barriers to adoption and use: A scoping review and qualitative analysis of the content. Life, 10(12), 1–27. https://doi.org/10.3390/life10120327
Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety: Clinicians’ lived experiences. Health Services Insights, 15(1), 1–7. https://doi.org/10.1177/11786329211070722
Weiner, S. J., Schwartz, A., Weaver, F., Galanter, W., Olender, S., Kochendorfer, K., Binns-Calvey, A., Saini, R., Iqbal, S., Diaz, M., Michelfelder, A., & Varkey, A. (2022). Journal of the American Medical Association Network Open, 5(10), 2238231. https://doi.org/10.1001/jamanetworkopen.2022.38231





