NURS FPX 8020 Assessment 3 Quality Improvement Proposal

Student name

Capella University

NURS-FPX8020

Professor Name

Submission Date

Quality Improvement Proposal

Slide 1

Hi everyone! My name is _______. In the following, I will outline a quality improvement proposal of the emergency department at the Cleveland Clinic, which would support the overall organizational objectives of the institution.

Slide 2

The quality improvement programs in healthcare are vital equipment in changing the care environment, improving clinical performance, patient safety, and institutional outcomes. Such programs can fill in the serious deficiencies in service provision and allow applying the research-based protocols, and meet the regulations. The quality improvement activities support the clinical outcomes, minimize unnecessary adverse events, and maximize the possibilities of efficient resource use in the medical facilities (Ricciardi and Cascini, 2020). Strategic improvement programs help in streamlining the unit-level goals to the overall organizational goals, besides rendering them economical. The empowered quality improvement proposals are basically changing the healthcare delivery frameworks.

The Rationale for Establishing a Strategic Priority

Slide 3

The healthcare organizations need methodological approaches to overcome operational issues and enhance patient outcomes with quantifiable interventions. The strategic priority of the emergency department is the internal process, which is based on the implementation of AI-powered patient throughput optimization in the internal processes domain to improve patient boarding and the efficiency of care delivery. The project is a response to the acute issue of handling 993,993 visits to the ED each year without compromising the quality or safety (The Cleveland Clinic Foundation, 2024). Existing boarding delays undermine patient experience, growth in length of stay, and unit capacity to serve the community effectively. The proposed quality improvement initiative will help implement the technology of Hospital 360, like the one implemented by the Cleveland Clinic, where Palantir has been deployed to optimize the work with beds and patients (Cleveland Clinic, 2024). The strategic priority of the internal process corresponds to the model of the balanced scorecard and serves the organizational objective of the 80th percentile composite safety, quality, and patient experience (Cleveland Clinic, 2024). Strategic priorities are effective and translate organizational vision into meaningful changes that help to ameliorate the impact of patients, caregivers, and communities.

Implications and Consequences

The strategic priorities implemented create both opportunities and challenges, and must be well thought through and planned in relation to resource allocation. The internal processes area of AI-based patient throughput optimization priority will require significant capital expenditure in the annual capital budget (which is 1.1 billion) and definite support of the system of information technologies of the Cleveland Clinic Foundation (The Cleveland Clinic Foundation, 2024). Its implementation would result in the accomplishment of the improved patient satisfaction indicators, the reduction of the severe safety events towards the 0.40 per 10,000 patient days target, and an improvement in the capacity to address the growing healthcare needs of the population. However, the potential side effects include the initial workflow disruption in the integration of the system, resistance of the employees to the use of technology, and maintenance costs (Renukappa et al., 2022). The strategic decisions have far-reaching impacts on the performance directions and the performance outcomes of the departments of an organization.

SWOT Analysis

Slide 4

The strengths, weaknesses, opportunities, threats (SWOT) analysis can be utilized by the Cleveland Clinic Health System emergency services in determining the main requirements of operational excellence and strategic success. The strategic assessment model would allow the department to have an in-depth assessment of organizational resources and marketplace factors affecting patient throughput optimization operations and performance outcomes (Wilasto & Wening, 2025). To realize the strategic potential, the healthcare administrators should inquire about the internal strengths and external environment within the context of the operational efficiency, competitive advantages, and needs of healthcare provided to the population.

Strengths

Organizational capabilities offer pre-established benefits that allow effective implementation of strategic initiatives as well as sustainability. Among the strengths that the Cleveland Clinic has to implement AI-powered patient throughput optimization, it is possible to single out established collaboration with IBM and Palantir Technologies which shows their dedication to digital transformation (The Cleveland Clinic Foundation, 2024). Technological prowess is justified by the reputation of the Cleveland Clinic as the best smart hospital in the world. Strong financial capabilities of the organization with the cash and investments in the amount of 14.8 billion also guarantee sufficient capital capital (The Cleveland Clinic Foundation, 2024).. The Integrated Hospital Care Institute offers effective models since it has attained 7% growth on the number of admissions with a 4.5% reduction in the length of stay (Cleveland Clinic, 2024). Capitalization using the available strengths will speed up the implementation process and serve as an added advantage to realizing the desired outcomes.

Weaknesses

Internal constraints and resource needs must not be an obstacle to strategic initiatives the mitigation should be proactive. The patient experience gets threatened by the current problems of the emergency department in the high boarding times, 993,993 visits per year (The Cleveland Clinic Foundation, 2024). The composite safety score of the Cleveland Clinic falls in the 80 th percentile, which already assumes the potential to enhance the score to the Epitome of the 10 th decile (Cleveland Clinic, 2024). The IT system infrastructure can be upgraded or advanced to accommodate more advanced AI algorithms and real-time data processing. The unwillingness of the staff to accept the changes in the working process is somewhat problematic, given the existing stress experienced by caregivers in the form of work-related violence incidents (Cheraghi et al., 2023). Specific interventions can be used to solve the organizational weaknesses in order to support the foundation of strategic priorities attainment.

Opportunities

The external environment conditions offer a favorable environment in which strategic development and positioning of the healthcare markets could be accomplished. Recent tendencies in national healthcare, concerning the use of AI assist in prioritizing the internal processes domain of the Cleveland Clinic in terms of throughput optimization. The growing demand of the patients (4.4% growth in ED visits every year) represents the urgency with capacity growth without the need to build facilities (The Cleveland Clinic Foundation, 2024). Healthcare technology can receive grant funding or regulation by the federal and state programs that support it (Kim et al., 2025). The innovation district of Cleveland renders the organization attractive to technological partnership and sharing resources. When external opportunities are leveraged, the effects of strategic initiatives and leadership are heightened in the market.

Threats

The environmental problems and rivalry require acute sensitivity and awareness to ensure strategic achievement. The high rate of technological change presents the risk of obsolescence due to the possibility of premature obsolescence and the necessity to invest continuously following the implementation of the change (Ates and Acur, 2022). There is a high risk of cybersecurity attacks that operate the AI-driven systems that control sensitive patient information, and the cost of its prevention is also growing (Aldosari, 2025). The policy ambiguity regarding the application of AI in clinical decision-making might either deter its implementation or oblige the change of functionality. Similar throughput technologies are also adopted by other healthcare systems, including University Hospitals and MetroHealth, which are also a possible threat to the competitive advantage. The threat mitigation is proactive to protect strategic investment and sustain performance of the organization in the long term.

Key Performance Indicators

Slide 5

The Cleveland Clinic emergency department patient throughput optimization project, which belongs to the plan-do-study-act (PDSA) model has the key performance indicators (KPIs) that address the quality improvement and operational efficiency requirement of the healthcare. The KPIs will include internal processes, customer experience, financial performance, and learning and growth areas to appraise the efficiency of the deployment of AI-powered Hospital 360 (Cleveland Clinic, 2024). These metrics are connected directly to the strategic objectives of the Cleveland Clinic to achieve 80th percentile composite scores in the aspects of safety, quality, and patient experience in handling 993,993 annual ED visits and operating revenue of the organization (The Cleveland Clinic Foundation, 2024). KPIs enable an organization to appraise in a systematic manner basing on continuous improvement cycles where evidence-based decisions are made (Sreedharan et al., 2024). The continuous monitoring will allow implementing programmatic changes in the cases when the measure is not within the set targets and performance standards, e.g., the 2-hour maximum boarding time and the 14-minute standard of door-to-care (The Cleveland Clinic Foundation, 2024). The measurement design is in a way that throughput optimization improves the mission of the Cleveland Clinic to care about life besides abiding by the vision of becoming the best place to be cared about anywhere.

Table 1

Emergency Department Key Performance Indicators

Note. Data are important key performance indicators of the patient throughput optimization program of the Cleveland Clinic Emergency Department as it is aligned to the domains of balanced scorecard. Target goals are organizational benchmarks, such as existing composite performance levels, 993,993, and 993,000 volumes of emergency visits, and technology resources that are accessible with the help of IBM and Palantir. The internal process metrics will facilitate the objective of the Cleveland Clinic relating to attaining an 80 th percentile level in the safety, quality, and patient experience composite scores. The sources used to retrieve data included the Cleveland Clinic (2024) and the Cleveland Clinic Foundation (2024).

Stakeholders Identification

Slide 6

Among the success factors in the realization of complex initiatives within organizations and sustainable change, stakeholder involvement is one of the fundamental aspects. The emergency department initiative will involve the main stakeholders of the 5,786-physician professional staff, 16,845 registered nurses who will perform the day-to-day working processes, the Board of Directors that will vote on the possible capital investments, and the patients who will receive the benefits due to the process which will improve care delivery (Cleveland Clinic, 2024). The strategic direction and power to allocate resources required in Hospital 360 AI implementation will be delegated to the executive leadership including the Chief Clinical and Operational Improvement Officer (Cleveland Clinic, 2024). The principles of user-centered design are based on the recommendations of patient and family advisory councils on the experiences of waiting and the boarding (Lewis et al., 2025). The feedback systems with the stakeholders are intensive and maximize the initiatives and the commitment of the organization to change.

Process for Collaborating with Stakeholders

Successful cooperation presupposes the systems of involving that embrace different perspectives when incorporating into the organizational improvement cycles. In order to attain the collaboration, it will be achieved on the basis of the prevailing governance structures including board meetings, medical staff committees, and leadership rounding protocols to gather systematic stakeholder responses. The frontline caregivers will take part in the form of departmental quality improvement teams, simulation training and innovation suggestion programs that encourage employee participation (Wieslander et al., 2025). Patient stakeholders will provide the feedback through the communication processes, satisfaction surveys, undertaken in every encounter, and ombudsman services that would address the concerns and recommendations (Isangula et al., 2023). The systematic interaction processes will be capable of transforming individual learning into institutional learning and long-term performance.

Leveraging Stakeholder Feedback

The strategic feedback can be used to address the continuous enhancement and the enhancement of efficacy of the initiatives in the field of healthcare quality improvement. Clinical sense and operationally viable alterations in technology algorithms, workflow, and protocols will be done based on the feedbacks of a physician and a nurse (Singaram et al., 2022). The changes to be made concerning interfaces, reinforcement of communication protocols, and modification of service delivery will be made based on the data on patient satisfaction and experience measures in relation to organizational goals (Bhati et al., 2023). The contribution of both the board and the executive leadership to the end product based on the overall organization performance will affect the resource allocation decisions, improvement of the performance benchmarks, and strategic priority changes. Incorporation of systematic feedback also transforms the quality improvement plans which are just a well intended plan to a real dynamic program which can eventually result in excellence within the organization.

Top of Form

Role of Change Theory

Slide 7

Change management theories provide a logical method of taking the organization through a change and mitigating the resistance of the new initiatives. Lewin developed a three-stage change theory to offer a systematic approach to the implementation of an emergency department AI-based patient throughput optimization project and relies on unfreezing, changing, and refreezing stages. The unfreezing phase assumes the creation of awareness among the registered nurses and emergency physicians of the current boarding time problems and advantages of up-to-date technologies, and the need of the enhancement (Mohammadnejad et al., 2023). The changing phase will also entail the adoption of the AI platform, training caregivers via simulations, and workflow modification (Wei et al., 2025). The refreezing step stabilizes the new processes by becoming the norm in the standard operating procedures by celebrating early wins through reduced boarding times and supporting the desired behaviors through periodic performance review. Application of evidence-based theories of change increases the likelihood of successful implementation and sustained improvement of performance of complex healthcare organisations.

Interpretation

The three-stage change theory by Lewin perceives organizational change as a dynamic equilibrium that must be disrupted consciously using interventions that are disruptive and stabilizing. Unfreezing phase challenges the existing assumptions and offers the psychological preparation towards the change through identifying the gaps in performances and areas of improvement (Dev & Shidhaye, 2024). The active implementation is known as the changing stage, during which the new behaviors, technologies, and workflows replace the established ones with the assistance of education and experience (Elendu et al., 2024). Refreezing stage entails solidification of innovations within the organizational culture by the instillation of the new norms, policy amendment, and realization of the perceived-value successes. The conceptual framework recognizes the notion that the sustainable change must be systematic and this should be done in stages rather than making abrupt changes.

Policy Recommendation

Slide 8

Refinement of quality needs efficient policy framework that gives standard anticipations and accountability systems that play a crucial role in the quality improvement implementation. To guarantee the ethical application of AI in the clinical decision support, the organization should develop a holistic policy of AI-assisted clinical decision support, which governs the utilization of technologies and the clarity of its algorithms in the application to its patients (Elgin & Elgin, 2024). The existing baseline models of patient flow management should be adjusted to entail real-time monitoring models and establish general maximum boarding time boundaries within all emergency departments. The current policies with the bed assignments made manually should be gradually replaced, and the use of automated allocation algorithms should be used to optimize the patient placement by considering the clinical needs and availability of capacity (Yinusa and Faezipour, 2023). The performance improvement policies will also be revised to indicate system performance measurements, periodic technology auditing requirements and quality monitoring measures that the clinical leaders can use. The staff training and competency policy should uphold technology skills and simulation education requirements (Elendu et al., 2024). The policy guidelines will provide building blocks which will be used to maintain the optimization processes without jeopardizing the patient safety and standards of care in the implementation process.

Policy Implications and Justification

Slide 9

The consequence to the organizational culture, distribution of resources and working processes in the various departments are heavily charged in policy making and updating. The clinical decision support policies based on the AI would require a fundamental investment in the technological infrastructures, training policies, and regular monitoring of the system use to ensure the successful usage (Elgin and Elgin, 2024). When the old manual bed management systems are replaced, there will be resistance initially to the work of the old personnel who are accustomed to working based on the old standards. However, uniformity in the application of evidence based practice, reduction in the difference in the care delivery and accountability of the result of the performance are enhanced by the standardized policies. The real-time monitoring necessities are binding, which assists in enhancing the transparency and swift realization of throughput bottlenecks that require urgent treatment (Aldoseri et al., 2024). On the whole, policy frameworks would ultimately be approved as a way of maintaining quality improvement through instilling innovations to the standard operating procedures in organizations.

Conclusion

Slide 10

Quality improvement programs require a lot of strategy planning, stakeholder engagement and evidence based models in order to achieve long term organizational change. The emergency department patient throughput optimization program is also consistent with the institutional strategic priorities, indicating the operational critical issues in the form of a balanced scorecard approach, but it upholds the organizational mission and vision. Awareness of power dynamics, implications of policies, and change management theories will ensure successful implementation of AI based solutions to enhance patient experience, operational efficiency, and caregiver engagement. Strategic leadership, with the help of efficient key performance indicators and relationships with stakeholders, can help healthcare organizations to deliver the best care, utilize the most efficient resources, and reach continuous development in changing healthcare environments.