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NURS FPX 6422 Assessment 4 Making Decisions to Use Informatics Systems in Practice

NURS FPX 6422 Assessment 4

NURS FPX 6422 Assessment 4 Making Decisions to Use Informatics Systems in Practice

NURS FPX 6422 Assessment 4 Making Decisions to Use Informatics Systems in Practice

 

Student name

Capella University

NURS-FPX6422 Clinical Information Systems and Application to Nursing Practice Analysis

Professor Name

Submission Date

 

Making Decisions to Use Informatics Systems in Practice

Healthcare organizations should lay systematic patterns in their decision on whether the informatics system should be implemented into clinical practice or not. Multidisciplinary groups of clinicians, IT experts, administrators, and end-users are used to perform the selection process and evaluate how the system can meet the organizational needs and evidence-based practice requirements (Musen et al., 2021). When developing decision frameworks, there should be a detailed cost-benefit evaluation, the effect of the workflow, interoperability specifications, and patient safety. The primary aim of the evaluation should be to deliver the list of policies and guidelines to the informatics staff to be prepared to make a choice on the utilization of the informatics system in practice.

  • Practice Site Situation

It is morning, and a physician works in the Metropolitan Outpatient Healthcare Facility that serves 15, 000 patients in a morning shift and meets a 65-year-old patient with diabetes to have a routine follow-up. When the provider clicks on the EHR of the patient, several clinical decision support notifications are shown: mammography screening is overdue, flu shot is due, and HbA1c exceeds the target values. The evidence-based protocol in the system implies increasing control over diabetes and arranging prevention screenings.

The physician, however, realizes that the alerts are disrupting workflow and thus leading to delays in attending to other patients. The provider must think of addressing all suggestions immediately or targeting pressing health needs, whilst at the same time making sure that care is grounded on the new evidence and patients are managed efficiently during the day-to-day operations of the clinic.

Evaluation of the Electronic Health Record System

The Metropolitan Outpatient Healthcare Facility has a strong clinical judgment reinforcement system through the electronic health record (EHR) system that unites decision-support systems, guidelines, and real-time data analysis to support clinical judgments in case patients come with them (Weiner et al., 2022). This system has automated messages regarding drugs, good medical practice, and check-ups that are shared when providers access the record of a patient, as noted during a consultation of a diabetic patient.

Even though the EHR system includes best practices-based suggestions, the high amount of alerts may interrupt work at times, and busy clinicians may find it challenging to respond to them (Solomon et al., 2023). With the help of high-quality analytics, health managers will be able to identify the patients requiring additional attention and monitor the quality of care in the whole range of 15,000 patients, and the notices will be provided in real-time to facilitate preventive measures. The system assists in providing data exchange and further patient care, yet the providers need to strike a balance between providing all the recommended attention and efficiency management at work over the span of a day in the service lines (Li et al., 2022).

Analysis of the Work Setting Using Evidence-Based Practice

The setting of a comprehensive outpatient healthcare facility is challenging in terms of specialties and patient groups that need to be addressed, and the application of evidence-based practices can enhance the outcomes and workloads in the office. The considerable number of patients in the facility are children; therefore, senior citizens or adults in various economic statuses require special consideration in controlling chronic illnesses, preventing illnesses, and fulfilling the overall health needs, particularly among the patients able to manage diabetes.

The team structure allows the professionals to collaborate, but they nonetheless encounter challenges as they must handle alerts on the EHR and keep track of the schedules of patients. In the studies, it is reported that medical organizations should use structured decision-making models to implement informatics systems to achieve the best integration with clinical processes (Pascoe et al., 2024). Moreover, to implement it successfully, it is necessary to conduct a thorough evaluation of the workflow impact and interoperability needs to ensure the preservation of clinical and operating efficiency (Pijnen, 2022).

What is so evident in the current workflow trends is the conflict between comprehensive care delivery using evidence-based methods and the efficiency of operation because parallel clinical decision support messages have the potential to interfere with provider workflow and impose time management challenges during peak utilization of clinic sessions (Sutton et al., 2020). The emphasis on preventive care and chronic disease management of the facility is compatible with the evidence-based approaches to population health, but the population of 15,000 patients demands that providers make instant decisions regarding prioritization of urgent clinical needs over the implementation of comprehensive alert adherence. The urban site has several groups of patients accessible, but requires efficient workflow streamlining.

Analysis of EHR System Supports Strategic Plan

The EHR system complements the strategic plan of the organization directly by allowing in-depth analytic capabilities on data, which will allow making evidence-based decisions on population health management and quality improvement programs. The reporting capability of the system will enable the leadership to monitor key performance indicators such as the rate of preventative care delivery, the results of chronic disease control, and scores on patient satisfaction, which is also in line with the strategic objective of the facility to enhance the quality of healthcare delivery in all service lines (Tsai et al., 2020).

Intersection in databases of clinical guidelines is set to make sure that care protocols are updated in accordance with evolving evidence-based recommendations to guarantee the desire of the organization to provide high-quality, evidence-based care. The population health module of the system identifies the patients who need preventive interventions; this allows the active outreach initiatives, which are consistent with the strategic goal of moving towards preventive models of care delivery instead of the reactive model.

Value-based care initiatives are backed by advanced analytics, which provide data on metrics of cost-effectiveness and patient outcomes, which are needed to make strategic planning and resource allocation decisions (Upadhyay & Hu, 2022). Interoperability capabilities of the EHR allow joining the regional health information exchange and clinical research programs, which help to achieve the strategic aim of the organization to promote evidence-based practice via collective partnerships (Holmgren et al., 2023). Augmented capabilities to monitor and enhance quality in real-time, as well as automated reporting, allow the attainment of strategic goals by systematic implementation of evidence-based practice.

Analysis of EHR System Creates Efficient Workflows and Safe Practice

The EHR system leads to a more efficient workflow through the removal of redundant data entry, automation of routine work, and giving the patient information an immediate access point across all lines of service and providers. The system has clinical decision support tools, which decrease medical errors by giving drug interaction messages, allergy messages, and evidence-based treatment messages at the point of care (Syrowatka et al., 2024).

Auto-workflow functions, such as the scheduling of appointments, prescription refills, and providing test results, simplify the administrative tasks and shorten patient waiting time, without forcing clinical staff to work on other administrative tasks (Olakotan and Yusof, 2021). The template-based documentation of the system provides consistency, thorough charting, and saves time on documentation, as well as enhances the reliability of the clinical records of the multidisciplinary team. Handwriting errors are removed, and real-time insurance checks are possible, which increases medication safety to the heterogeneous patient population due to the electronic prescribing functionality that can also perform safety checks on dosing and drug interactions (Hareem et al., 2023).

The use of integrated communication tools allows providers to communicate securely, which will decrease the number of calls and enhance the efficiency of coordinating care. Constant assessment of the workflow with the help of quality metrics and automatic reports will provide the opportunity to ensure that efficiency is never achieved at the cost of adherence to strict evidence-based standards (Lee et al., 2025). Patients can access and update information through mobile devices, and this facilitates providers to serve patients in other environments.

Assessment of EHR System

EHR enables the team to work more efficiently as each one of them can access complete patient data, record and share information, and at the same time organize care processes across all services. Through safe messaging, physicians, nurse practitioners, registered nurses, and medical assistants can readily communicate with each other and together make crucial decisions that eventually aid in the enhancement of patient outcomes (Lou et al., 2024).

In this feature, all specialists will be able to manage patient progress, medication use, and appointments. When patients have an opportunity to access the portal and obtain information, contact their providers, organize appointments, and test results, they tend to become more engaged and satisfied (Bao et al., 2020). Their experience will be enhanced when patients receive notifications about delivering medications, filling them, and warnings about the necessity to prevent infection (Gunderson et al., 2021).

Adapting the education material to the needs and abilities of individual patients can assist healthcare providers and patients to make decisions together and comprehend the care plans. Real-time access to patient records enables providers to take swift action, reduces waiting time, and enhances care delivery (Kumari & Chander, 2024). Virtual meeting provision implies that patients have more avenues to access care, as they remain happy and at the same time enjoy high-quality cooperation among employees (Ezeamii, 2024).

Conclusion

Healthcare organizations are advised to evaluate informatics tools in full frameworks to ensure that they address the evidence-based criteria as well as functionality in everyday practice. The design of clinical decision support tools in the Metropolitan Outpatient Healthcare Facility proves to have both strengths and weaknesses. Even though the system assists doctors in providing evidence-based care by reminding them and supplying them with population data, the doctors have time constraints, as many of their recommendations collide with the need to provide effective treatment to the patients. To guarantee good results, it is necessary to make sure that technology is tweaked to achieve quality care delivery.

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NURS FPX 6422 Assessment 4

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References for
NURS FPX 6422 Assessment 4

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

Kumari, R., & Chander, S. (2024). Improving healthcare quality by unifying the American electronic medical report system: time for change. The Egyptian Heart Journal, 76(1). https://doi.org/10.1186/s43044-024-00463-9

Lee, M., Kim, K., Shin, Y., Lee, Y., & Kim, T.-J. (2025). Advancements in electronic medical records for clinical trials: Enhancing data management and research efficiency. Cancers, 17(9), 1552. https://doi.org/10.3390/cancers17091552

Li, E., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health record interoperability on safety and quality of care in high-income countries: Systematic review. Journal of Medical Internet Research, 24(9), 38144. https://doi.org/10.2196/38144

NURS FPX 6422 Assessment 4 Making Decisions to Use Informatics Systems in Practice

Lou, S. S., Lew, D., Xia, L., Baratta, L., Eiden, E., & Kannampallil, T. (2024). Secure messaging use and wrong-patient ordering errors among inpatient clinicians. Journal of the American Medical Association Network Open, 7(12), 2447797. https://doi.org/10.1001/jamanetworkopen.2024.47797

Musen, M. A., Middleton, B., & Greenes, R. A. (2021). Clinical decision-support systems. Biomedical Informatics, 795–840. https://doi.org/10.1007/978-3-030-58721-5_24

Olakotan, O. O., & Yusof, M. M. (2021). The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review. Health Informatics Journal, 27(2), 1–22. https://doi.org/10.1177/14604582211007536

Pascoe, J. L., Lu, L., Moore, M. M., Blezek, D. J., Ovalle, A. E., Linderbaum, J. A., Callstrom, M. R., & Williamson, E. E. (2024). Strategic considerations for selecting artificial intelligence (AI) solutions for institutional integration: A single-center experience. Mayo Clinic Proceedings: Digital Health, 2(4), 665–676. https://doi.org/10.1016/j.mcpdig.2024.10.004

Pijnen, L. V. G. (2022). Implementation of health technology: Directions for research and practice. Frontiers in Digital Health, 4, 1030194. https://doi.org/10.3389/fdgth.2022.1030194

Solomon, J., Decker, K. D., Richardson, S., Levy, S., Khan, S., Coleman, B., Persaud, R., Chelico, J., King, D., Spyropoulos, A., & McGinn, T. (2023). Integrating clinical decision support into electronic health record systems using a novel platform (EvidencePoint): Developmental study. Journal of Medical Internet Research Formative Research, 7, 44065. https://doi.org/10.2196/44065

Sutton, R., Pincock, D., Baumgart, D., Sadowski, D., Fedorak, R., & Kroeker, K. (2020). An overview of clinical decision support systems: Benefits, risks, and strategies for success. Nature Partner Journal Digital Medicine, 3(1), 1–10. https://doi.org/10.1038/s41746-020-0221-y

Syrowatka, A., Motala, A., Lawson, E., & Shekelle, P. (2024, February). Computerized clinical decision support to prevent medication errors and adverse drug events: Rapid review. PubMed; Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK600580/

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). Effect of electronic health record clinical decision support on contextualization of care: A randomized clinical trial. Journal of the American Medical Association Network Open, 5(10), 2238231. https://doi.org/10.1001/jamanetworkopen.2022.38231

Electronic Health Record System Policy for Evidence-Based Practice

Metropolitan Outpatient Healthcare Facility

Policy Number: EBP-EHR-001

Purpose

The policy outlines how EHR will be used and implemented to support evidence-based care at the comprehensive outpatient healthcare facility serving 15,000 patients.

Policy Statement

Providers and staff should rely on the EHR system for delivering evidence-based care by following consistent protocols, using instant support programs and efficiently handling patient data. It is intended to be the primary tool for keeping medical records, coordinating patient care, and working on improving quality.

Implementation Requirements

Clinical decision support alerts, adherence to evidence-based rules, and analysis of population health data must all be available within the electronic health record system (Solomon et al., 2023). All notes in the patient’s chart should be made using templates that follow the latest care recommendations. Providers should communicate through secure texting to support the delivery of care together by physicians, nurse practitioners, registered nurses, and medical assistants (Chandra et al., 2023).

Quality Assurance

Each month, the audits will measure the use of the EHR, levels of clinical support, and indicators of patient safety (Xie et al., 2022). Engaging in ongoing training is essential for providers to stay competent with all evidence-based and workflow enhancement features within the system.

Compliance

Anyone not following the policy may get corrective action. All staff should agree to understand and put into practice the evidence-based practice standards.

References

Chandra, S., Oberg, M., Hilburn, G., Wu, D. T., & Adhyaru, B. B. (2023). Improving communication in a large urban academic safety net hospital system: Implementation of secure messaging. Journal of Medical Systems, 47(1). https://doi.org/10.1007/s10916-023-01956-x

Solomon, J., Decker, K. D., Richardson, S., Levy, S., Khan, S., Coleman, B., Persaud, R., Chelico, J., King, D., Spyropoulos, A., & McGinn, T. (2023). Integrating clinical decision support into electronic health record systems using a novel platform (EvidencePoint): Developmental study. Journal of Medical Internet Research Formative Research, 7, 44065. https://doi.org/10.2196/44065

Xie, C. X., Chen, Q., Hincapié, C. A., Hofstetter, L., Maher, C. G., & Machado, G. C. (2022). Effectiveness of clinical dashboards as audit and feedback or clinical decision support tools on medication use and test ordering: A systematic review of randomized controlled trials. Journal of the American Medical Informatics Association, 29(10), 1773–1785. https://doi.org/10.1093/jamia/ocac094

Appendix for
NURS FPX 6422 Assessment 4

Appendix: EHR Policy Implementation Guidelines

Daily Practice Implementation

Review clinical decision support alerts and evidence-based reminders on the EHR related to the patient’s situation and personal details prior to seeing the patient. Use the clinical guidelines database to access up-to-date, research-backed protocols for symptom evaluation and care planning (Gencturk et al., 2024). Medication alerts, allergy warnings, and preventive care notifications must be addressed by all providers before making care decisions.

Documentation Standards

Always use the provided EHR templates with information from confirmed studies for the documentation of your clinical encounters. Using the system’s patient education module, document the education given to patients so that their materials are consistent with the latest, evidence-based standards. Send care coordination updates using secure messaging tools when working with other professionals in four service areas (Janett & Yeracaris, 2020).

Quality Monitoring Procedures

Every month, check the EHR utilization reports to monitor how well evidence-based practice guidelines are being followed and how often clinical decision support tools are being accessed. Attend quarterly group sessions to analyze difficult cases and discuss how to optimally use the chosen EHR features. Report problems with the reporting system or any concerns about protocols to the Quality Improvement Committee through the designated EHR feedback portal.

Continuous Improvement

Attend mandatory EHR training sessions focusing on new evidence-based features and workflow enhancements. Regularly review population health data to identify opportunities for proactive patient interventions and evidence-based care improvements.

Capella Professors to choose from for
NURS-FPX6422

  • JacQualine Abbe.
  • Brianna Seaver.
  • Cheryl Sheffield.
  • Kristina Shelton.
  • Angelina Silko.

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NURS FPX 6422 Assessment 4

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