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NURS FPX 6422 Assessment 3 Strategic Planning for System Changes

NURS FPX 6422 Assessment 3 Strategic Planning for System Changes

NURS FPX 6422 Assessment 3 Strategic Planning for System Changes

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Capella University

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

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Strategic Planning for System Changes

The planning of change within the healthcare system is a strategic approach that helps in the adequate alignment of the technological infrastructure in line with the evolving clinical requirements and demands. Regular review of the software and hardware systems helps identify the performance gap, lack of security parameters, and where to implement innovative practices by healthcare organizations before their care delivery system is compromised (Moinzad & Akbarzadeh, 2022).

The rigorous appraisals improve timely improvement, budgetary funding, and develop employees with the least possible interference with operations. The systematic method maintains continuity of care in the long term and equips healthcare providers to take part in technological change in an efficient manner. The assessment is primarily aimed at the strategic planning of the changes in the system, and the description of the cycle reviews of the software and hardware utilized in healthcare.

  • Practice Setting Description

The practice location is a universal outpatient healthcare center that caters to a varied population of patients, estimated to be 15,000 in the metropolitan area. The clinic has twelve primary care physicians, eight nurse practitioners, fifteen registered nurses, and twelve medical assistants working in four specialized service lines, including family medicine, internal medicine, pediatrics, and preventive care. The facility offers routine check-ups, chronic illnesses, preventive services, minor procedures, and follow-up services to patients who do not necessarily need to stay in the hospital overnight.

Use of an Electronic Health Record (EHR) For an Interprofessional Care Team

Outpatient clinics are healthcare establishment types of primary health care done where patients are given medical care but are not required to stay in a hospital overnight. Routine check-ups, treating the existing diseases, preventative tests, simple operations, and additional treatment are provided at the facility. The facility seeks to have physicians, nurses, medical assistants, and administrative staff as one group in order to provide complete ambulatory care.

Implementing electronic records in outpatient clinics enhances a collaborative manner in which interprofessional teams will operate (Lombardo et al., 2023). Patient records can be provided concurrently to doctors, nurses, assistants, and consultants working in clinics (Mensah et al., 2024). Any practitioner is able to record data regarding treatments they apply as soon as they make use of the same system. It assists all the staff members at the clinic keep in touch with each other and manage their duties more easily.

EHRs can enhance and make outpatient care safer through clinical decision-support tools (Sutton et al., 2020). When the prescriber is on a visit to the clinic, the systems will provide alerts on possible drug interactions in a patient or an allergy and remind the doctors to schedule an appropriate follow-up visit on long-term conditions. The technological application is beneficial to every team member of the clinic since it enhances the provision of uniform care and the reduction of avoidable mistakes. Moreover, automatic notifications trigger timely preventive care actions such as the scheduling of screening tests or health maintenance information (Javaid et al., 2024).

To the administrative stakeholders of the outpatient clinics, EHRs provide detailed analytics, which are enhanced when the operations of the clinics are being strategized. Integrated dashboards allow clinic managers to access information about patient flow, level of staffing efficiency, and performance in the billing cycle (Alhmoud et al., 2022). The clinical data are used to support evidence-based care protocols and compliance with regulations by quality improvement teams.

Insurance partners and regulators are outside stakeholders who benefit through standardized reporting features that enable quality audits and reimbursements to be easier (Reegu et al., 2023). However, it needs to invest in the training of the staff and technical infrastructure and constant support so that all clinic users could be capable of navigating it effectively regarding their productivity and the level of patient satisfaction.

Enhanced Information System Workflows: Promoting Safety and Quality

Health ITs transform the operation of the outpatient clinic by providing programmed checkpoints to avoid clinical errors and uniformity in the delivery of ambulatory care. The outpatient clinic practice site has the electronic appointment scheduling systems that automatically schedule the patient visit according to the chief complaint and the medical history, with the urgent cases being given a slot at the end of the day and the routine follow-ups being given a slot respectively (Yancey & O’Rourke, 2023). Integrated medication reconciliation workflows, where clinic nurses prepare patients to meet with providers, compare the existing prescriptions with those in pharmacies, and form an electronic safety net that has minimized prescription errors (Mulac et al., 2021).

The smooth transmission of information systems, integrated into the systems of outpatient clinics, guarantees that important information flows successfully between the visits and care team members (Gibson et al., 2021). As an example, the treatment plan of the primary care physician during visits to the outpatient clinic in diabetes management can automatically create diabetic education content, request visits with a dietitian (within the clinic network), and schedule the patient for the next laboratory work in the outpatient clinic.

The patient interactions could be documented in real-time by each member of the staff at the outpatient clinic to generate a detailed summary of the ambulatory visits that could be provided to all the clinic providers during the next outpatient visits (Robertson et al., 2022). The integration averts missed referrals, incomplete drug adjustments, and disjointed care coordination, which in the past cast aspersions on the operations of the outpatient clinics.

Automated care protocols are specifically tailored to the outpatient clinic setting to increase clinical outcomes. Indicatively, chronic disease surveillance systems monitor patient attendance in clinics and laboratory outcomes and provide instant notifications to clinic managers regarding patients who fail to attend their important follow-up appointments or whose trends are worrying (Hwang et al., 2020).

The workflows have the potential to reflect higher patient engagement rates within the practice location because timely outreach and appointment rescheduling can be ensured. In the same manner, the preventative care tracking systems track screening schedules and automatically make reminder calls and creatively schedule mammograms or colonoscopies when patients are due (Sands, 2023). Information systems can change quality improvement to systematic care management by integrating the evidence-based protocols into the daily activities of outpatient clinics.

Strategic Alignment of Information System Initiative

The strategic plan of the outpatient clinic revolves around adopting a holistic EHR that will help in strengthening interprofessional collaboration, standardizing ambulatory care processes, and aligning with the operational goals of the outpatient clinic. The outpatient clinic will enhance the quality of care, patient safety, and efficiency of clinic operation through stakeholder involvement, evidence-based ambulatory care paths, and patient-centered capabilities.

The introduction of electronic health records directly supports the outpatient clinic’s strategic goals through the development of ambulatory care efficiencies, facilitating the growth of the clinic as well as patient outcomes. In an outpatient clinic aiming to enter into value-based ambulatory care contracts, the EHR initiative facilitates the clinic population health management by risk-stratification algorithms that evaluate high-utilization patients to be under intensive outpatient case management (Jhamb et al., 2023). The ability enables the outpatient clinic to achieve the quality standards of ambulatory care linked to reimbursement without unnecessarily increasing emergency department visits, and directly in line with the financial sustainability objective of the clinic.

To the interprofessional outpatient care teams, the overall EHR system enhances the collaborative ambulatory processes that are consistent with the patient-centered medical home goals. Behavioural health specialists embedded in the outpatient clinic liaise with primary care physicians via shared ambulatory treatment plans, whereas clinic care coordinators monitor the loops of referrals to make sure that specialist recommendations become part of the outpatient follow-up visits (Segal et al., 2021).

The combined solution minimizes the fragmentation of ambulatory care, and it helps the outpatient clinic to focus its strategy on delivering full-day care. The ambulatory quality metrics that are documented automatically and used to achieve clinic accreditation help the nursing staff to advance the nursing excellence programs at the outpatient clinic (Johnston et al., 2022).

The end-user stakeholders are provided with concrete benefits that enhance the priorities of the outpatient clinics. Health information is available to ambulatory patients through secure clinic portals that facilitate the transparency efforts of the outpatient clinic and minimize phone calls to the clinic staff (SooHoo et al., 2022).

Automated reports of the quality of the ambulatory care delivered to insurance partners are evidence of the adherence of the outpatient clinic to the evidence-based protocols, which aid in contract negotiation as a preferred ambulatory provider. Outpatient clinic population health dashboards are useful to community stakeholders in guiding the public health partnerships and cementing the clinic as the community ambulatory care leader (Wark et al., 2021). The EHR initiative creates synergies by addressing multiple needs of the stakeholders and accomplishing the strategic objectives, which enhance the ability of the outpatient clinic and its competitive advantage.

Recommendations to Improve Current EHR Use

As a practice site, the outpatient clinic is expected to conduct a comprehensive stakeholder analysis to identify EHR requirements among the different ambulatory care users, including the clinic physicians and the nursing staff, the administrative staff, and the partners of the clinic. The implementation of role-based access control uptake has ensured that all the stakeholders of the outpatient clinic can access the required information without having to navigate a complex interface, such as patient visit reports to clinic nurses and appointment booking board to clinic administrators (Karnehed et al., 2021).

Regular training of various groups of stakeholders of the outpatient clinic raises the level of system awareness and its utilization (Ali et al., 2023). Stakeholder feedback loop forums are held monthly make the clinic systems continuously improve on the basis of the real-world ambulatory care experiences. The establishment of specialized support teams of all types of stakeholders of outpatient clinics will make it possible to address technical issues in time, thereby minimizing the interference of the workflow and ensuring the preservation of the productivity rates within the clinic setting (Adedeji et al., 2021).

  • Improving Clinical Outcomes

To enhance patient outcomes, the facility would have to use EHR tools to achieve standardization of ambulatory care that reduces the disparity in the provision of care and has a positive impact on all areas of its services. In the case of diabetic patients who are observed in outpatient clinics, the providers are able to start the treatment right away based on the automated guidelines since the glucose levels correspond to certain threshold values.

By means of clinic visits, it is possible to conduct prompt measurements of blood pressure indicators, which will enable physicians to inform outpatient doctors in case patients exceed the recommended values (Schwartz et al., 2022). Predictive analytics will indicate the type of patients who are more at risk in the community, and hence, preemptive interventions may be conducted before any issues arise (Dixon et al., 2024). The frequent generation and analysis of outcomes information in outpatient clinics is a guarantee of improvement and self-validation of clinical activities, and enhances the services provided in the future.

  • Enhancing Patient Satisfaction

The further evolution of the electronic health records applied to outpatient clinics must consider placing the patients in charge of their healthcare through the assistance of empowering participation and discussions with the healthcare professionals. Patients of outpatient clinics can access their test results and medication list and receive education at any time, provided that the portal is integrated with a mobile application (Lyles et al., 2020).

Patient alerts and the flexibility of the clinic programming reduced the cases of missed appointments. Simple communication between visits to patients implies the detection of minor symptoms and their treatment before they become life-threatening (Joseph et al., 2024). Patient-reported outcomes and satisfaction survey directly integrated in the outpatient ambulatory clinic EHR creates the (continuous) feedback loop on how the clinic could improve its services to patients, and it also indicates that the clinic is heavily concerned with patient-centered care provision.

Conclusion

Tactical implementation of the electronic health records is a game-changer investment in the outpatient clinic that addresses the complex demands of a diverse environment at different levels. Enhancing inter-professional collaboration, streamlining clinical processes, and aligning with institutional strategic goals, EHR systems produce operational, patient safety, and care quality improvements that can be implemented.

This will require constant interaction of the stakeholders and repeated correction of the systems with support systems. The increasing complexity of the healthcare system and coordinated information systems opens the way to technology that can form the foundation of patient-oriented care and value-based care, coupled with economic viability and competitiveness in new markets of healthcare.

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References for
NURS FPX 6422 Assessment 3

Adedeji, T., Fraser, H., & Scott, P. (2021). Implementing electronic health records in primary care using the theory of change: A Nigerian case study (Preprint). Journal of Medical Internet Research Medical Informatics, 10(8), 33491. https://doi.org/10.2196/33491

Alhmoud, B., Melley, D., Khan, N., Bonicci, T., Patel, R., & Banerjee, A. (2022). Evaluating a novel, integrative dashboard for health professionals’ performance in managing deteriorating patients: A quality improvement project. BioMedical Journal Open Quality, 11(4), 002033. https://doi.org/10.1136/bmjoq-2022-002033

Ali, S., Khan, H. M., Shah, J., & Ahmed, K. (2023). An electronic health record system implementation in a resource-limited country—Lessons learned. Digital Health, 9(9). https://doi.org/10.1177/20552076231203660

Dixon, D., Sattar, H., Moros, N., Kesireddy, S. R., Ahsan, H., Lakkimsetti, M., Fatima, M., Doshi, D., Sadhu, K., & Hassan, M. J. (2024). Unveiling the influence of AI predictive analytics on patient outcomes: A comprehensive narrative review. Cureus, 16(5). https://doi.org/10.7759/cureus.59954

Gibson, B., Kramer, H., Weir, C. R., Fiol, G. D., Borbolla, D., Schlechter, C. R., Lam, C. Y., Nelson, M., Bohner, C., Schulthies, S., Sieperas, T., Pruhs, A., & Wetter, D. W. (2021). Workflow analysis for design of an electronic health record-based tobacco cessation intervention in community health centers. Journal of the American Medical Informatics Association Open, 4(3), 070. https://doi.org/10.1093/jamiaopen/ooaa070

Hwang, M. I., Bond, W. F., & Powell, E. S. (2020). Sepsis alerts in emergency departments: A systematic review of accuracy and quality measure impact. Western Journal of Emergency Medicine, 21(5), 1201–1210. https://doi.org/10.5811/westjem.2020.5.46010

Javaid, M., Haleem, A., & Singh, R. P. (2024). Health informatics to enhance the healthcare industry’s culture: An extensive analysis of its features, contributions, applications, and limitations. Informatics and Health, 1(2), 123–148. https://doi.org/10.1016/j.infoh.2024.05.001

Jhamb, M., Weltman, M. R., Yabes, J. G., Kamat, S., Devaraj, S. M., Fischer, G. S., Rollman, B. L., Nolin, T. D., & Kader, K. A. (2023). Electronic health record-based population health management to optimize care in CKD: Design of the kidney coordinated health management partnership (K-CHAMP) trial. Contemporary Clinical Trials, 131, 107269. https://doi.org/10.1016/j.cct.2023.107269

Johnston, C., Butcher, D., & Aveyard, H. (2022). An integrative review exploring the impact of electronic health records (EHR) on the quality of nurse–patient interactions and communication. Journal of Advanced Nursing, 79(1), 48–67. https://doi.org/10.1111/jan.15484

Joseph, S., Tomaschek, R., Hug, B. L., & Beeler, P. E. (2024). Enhancing communication and care coordination: A scoping review of encounter notification systems between emergency departments and primary care providers. International Journal of Medical Informatics, 191, 105579. https://doi.org/10.1016/j.ijmedinf.2024.105579

Karnehed, S., Erlandsson, L. K., & Pejner, M. N. (2021). Nurses’ perspectives on an electronic medication administration record in home healthcare: Qualitative interview study (Preprint). Journal of Medical Internet Research. Nursing, 5(1), 35363. https://doi.org/10.2196/35363

Lombardo, G., Couvert, C., Kose, M., Begum, A., Spiertz, C., Worrell, C., Hasselbaink, D., Didden, E.-M., Sforzini, L., Todorovic, M., Lewi, M., Brown, M., Vaterkowski, M., Gullet, N., Hartoonian, N. A., Griffon, N., Pais, R., Navarro, S. R., Kremer, A., & Maes, C. (2023). Electronic health records (EHRs) in clinical research and platform trials: Application of the innovative EHR-based methods developed by EU-PEARL. Journal of Biomedical Informatics, 148, 104553. https://doi.org/10.1016/j.jbi.2023.104553

Lyles, C. R., Nelson, E. C., Frampton, S., Dykes, P. C., Cemballi, A. G., & Sarkar, U. (2020). Using electronic health record portals to improve patient engagement: Research priorities and best practices. Annals of Internal Medicine, 172(11), 123–129. https://doi.org/10.7326/m19-0876

NURS FPX 6422 Assessment 3 Strategic Planning for System Changes

Mensah, N. K., Adzakpah, G., Kissi, J., Abdulai, K., Abdulai, H. T., Johnson, S. B., Opoku, C., Hallo, C., & Boadu, R. O. (2024). Health professionals’ perceptions of electronic health records system: A mixed method study in Ghana. BioMedical Central Medical Informatics and Decision Making, 24(1). https://doi.org/10.1186/s12911-024-02672-3

Moinzad, H., & Akbarzadeh, M. H. (2022). How to improve information technology strategic planning effectiveness using balanced scorecard, risk, and maturity analysis, a case study health information technology? A qualitative study. Health Science Reports, 5(6). https://doi.org/10.1002/hsr2.926

Mulac, A., Mathiesen, L., Taxis, K., & Granås, A. G. (2021). Barcode medication administration technology use in hospital practice: A mixed-methods observational study of policy deviations. BioMedical Journal Quality & Safety, 30(12), 1021–1030. https://doi.org/10.1136/bmjqs-2021-013223

Reegu, F. A., Abas, H., Gulzar, Y., Xin, Q., Alwan, A. A., Jabbari, A., Sonkamble, R. G., & Dziyauddin, R. A. (2023). A blockchain-based framework for interoperable electronic health records for an improved healthcare system. Sustainability, 15(8), 6337. https://doi.org/10.3390/su15086337

Robertson, S. T., Rosbergen, I. C. M., Jones, A. B., Grimley, R. S., & Brauer, S. G. (2022). The effect of the electronic health record on interprofessional practice: A systematic review. Applied Clinical Informatics, 13(03), 541–559. https://doi.org/10.1055/s-0042-1748855

Sands, D. Z. (2023). Beyond the EHR: How digital health tools foster participatory health and self-care for patients with diabetes. American Journal of Medicine Open, 10, 100043. https://doi.org/10.1016/j.ajmo.2023.100043

Schwartz, J. L., Duan, D., Maruthur, N. M., & Pitts, S. I. (2022). Utility of an electronic health record report to identify patients with delays in testing for poorly controlled diabetes. The Joint Commission Journal on Quality and Patient Safety, 48(6), 335–342. https://doi.org/10.1016/j.jcjq.2022.03.002

Segal, M., Giuffrida, P., Possanza, L., & Bucciferro, D. (2021). The critical role of health information technology in the safe integration of behavioral health and primary care to improve patient care. The Journal of Behavioral Health Services & Research, 49(2), 221–230. https://doi.org/10.1007/s11414-021-09774-0

SooHoo, S., Keller, M. S., Moyse, H., Robbins, B., McLaughlin, M., Arora, A., Burger, A., Huang, L., Huang, S.-C., Goud, A., Truong, L., Rodriguez, D., & Roberts, P. (2022). Accessing patient electronic health record portals safely using social credentials: Demonstration pilot study. Journal of Medical Internet Research Formative Research, 6(1), e29647. https://doi.org/10.2196/29647

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

Wark, K., Cheung, K., Wolter, E., & Avey, J. P. (2021). “Engaging stakeholders in integrating social determinants of health into electronic health records: A scoping review.” International Journal of Circumpolar Health, 80(1), 1943983. https://doi.org/10.1080/22423982.2021.1943983

Yancey, C. C., & O’Rourke, M. C. (2023). Emergency department triage. In www.ncbi.nlm.nih.gov. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK557583/

Capella Professors to choose from for
NURS-FPX6422

  • Regina Varin-Mignano
  • Cassandra Wilson
  • James White
  • John Walsh
  • Lisa Newton

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NURS FPX 6422 Assessment 3

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