MHA FPX 5020 Assessment 4 Data Analysis Project Report Presentation

MHA FPX 5020 Assessment 4 Data Analysis Project Report Presentation

MHA FPX 5020 Assessment 4
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    Data Analysis Project Report Presentation

    Student Name

    Capella University

    MHA FPX5020

    Professor Name

    Submission Date

    Slide 1

    My name is _____ and in this presentation, I will give my final report of my data analysis project. This presentation will conclude with a discussion of factors that contribute to the readmission phenomenon at the hospital, which may lead to better outcomes of medical care, and will advocate for evidence-based hospital practices.

    Introduction

    Slide 2

    This will be the last report on this data analysis project and they will have pored over it to come up with their next result – a cut in 30-day hospital readmission rates, which they will be implementing with assistance from an improved hospital discharge plan, and (with their help again) an improved support network for discharged patients to help them coordinate their care. One dimension that is in great need from the health care system is the ability to measure value and readmission is currently the newest ‘buzzword’ used to define the quality of health care or a performance indicator in the health care system.

    The literature review that will come together will be primarily based on evidence gathered from the literature with a focus on information and methods that are available without a fee (or, at all) in the process of uncovering the bigger gaps in the healthcare delivery system in the project. The data analysis would be relatively simple as they will be able to join data together to enable data at the organisation level decision making, and this would probably be for care transitions and/or outcomes. The presentation will go deeper into the impact that the strategic interventions will have in eliminating the unnecessary use and spending on healthcare. It’s offered in most cases to demonstrate to health care organizations how they can streamline their workflows and become more efficient by leveraging the data.

    Problem Statement

    Slide 3

    Neither of these proved to be innovative since the lack of a care-follow-up and a care-coordination-based discharge plan was not two aspects but one out of 30 causes of high 30-day rehospitalization that translated into patients and health care outcomes, leading to colossal spending. Patients not given the right information, informed on how to treat and continue their treatment at home, will now be more likely to have complications and re-enter the hospital.

    This dilemma is echoed on the larger system level of deceit, i.e., in how it avails the patient either back home or to the community-based care. It’s also the first location to draw attention when compared to the other approaches of the financial penalty care model, which is additionally free for all healthcare businesses. In the drive for quality of care, patient safety, and sustainability of the organisations these issues will also need to be addressed.

    Key Contributing Factors

    Slide 4

    It is a review of data, which is based on three key factors directly associated with the hospital readmission experience – the 30-day readmission rate, effectiveness of outpatient follow-up care and effectiveness of transition care coordination. The readmission rate is one of the main measures of the efficiency of the health care system, in the form of the percentage of readmissions within 30 days. It will be in terms of patient attendance at the follow-up days (7 – 14 days) and first visit days, all of which will have the same percentage. The different rates will be based on the rates of those who were receiving the transitional supports. They both provide me with a set of measurable information – at least information on what the system has done – and they will both also lead me to places, or areas, where I’m going to have to work a little harder on them, and make some changes to make them better.

    Key Findings from Literature

    Slide 5

    A larger portion of the literature that is available on this topic has an added benefit in the proposed discharge planning and integrated care in the area where either of the patients will end up re-hospitalized. If they were going to dump them off in a wonderful patient (one with a high readmission rate), would it have been a preposterous plan to have explained to them how they would dump them off like that, remembering that they had got them all prepared and taken care of them? Balasubramanian elaborates on the same issue for the outpatients’ bells that were attached to them for their first degrees: “If they don’t do the changes at least at the initial stage, I am sure they will do it on their own.” Any other impact(s) Tyler discusses due to decreased use of healthcare after a fall transition will also have a direct effect and lead to increased continuity of care. Besides, if there is a lack of effective communication between the healthcare groups, there won’t be any chance to offload the burden and care from one risk factor to another. All of these results support the validity of the variables of this study.

    Data Presentation – Readmission Rates

    Slide 6

    In turn, applied to the statistics of the rehospitalization rate during the 30 days, one can apply it to the nationals of Centers for Medicare and Medicaid Services, where one can observe a certain tendency towards raising the rates of rehospitalization during the 2020-2025 period. This also resulted in a gradual curve or line towards readmission rates of these patients (which has been observed as a rise of 30 discharge days), which is an indicator, even in this regard, that the rate of unplanned readmissions and lack of transitional care service are on the rise.

    Such swelling would mean that a decent percentage of the patients would be at an unbearable level of maturity, in terms of providing them with the necessary training and medication treatment. This would also be helped, if anything, by poor coordination of the health care providers, which would easily result in repeated admissions in the hospital. High rates are correlated with poor patient outcomes and with poor financial and functional health outcomes of health care systems. All of these may be good examples and can be used to explain that all of these interventions could be streamlined in the discharge planning and that a well-organised transfer of the planning/care offered is a great idea.

    Data Presentation – Follow-Up Care

    Slide 7

    These are positive trends to be impressed by, but the number of victims, who even then, will not go to the hospital for this follow-up care because they would likely be at risk of developing complications, or be admitted again, is impressive. The other concern that the data sheds light on is the variation in days between the first follow-up visit, which implies the lack of continuity in care, as well. This is despite the fact that they know that post-discharge care is quite significant in reducing 30-day readmission and patients’ outcomes right after discharge.

    Patients have been ahead of the healthcare systems in being a precursor of the latter as well, though this is a bit enhanced with the latter being followed strictly. Given the analysis results, a few changes are suggested in this system of support: the post-discharge follow-up process, for example, and the use of the tools provided to offer immediate support – tools such as scheduling support and patient prompts.

    Data Presentation – Care Coordination

    Slide 8

    An image of the situation of coordination of care has been painted as about 65% of the patients have received coordinated care, while 35% are expected to not receive coordinated care, respectively, on hospital/community transition and where it lies, respectively. The points of consideration that would be missing (but very noticeable) would be: There is no message to the patient, patient data processing, and follow-up service. The poor or uncoordinated character will lead to ‘poor continuity’, and this will not only affect the continuity, but also the potential for poor outcomes (inpatient hospitalisation).

    In practice, transitional care interventions have been shown to result in differences in outcomes for patients, apart from health care resource usage. Since most of them are already over-coordinating (to some degree or another), a majority of them, it would be a sign of weakness of the healthcare system to over-coordinate any further. But, the motivation for the push towards becoming more inter-disciplinary with regards to managing handoff and the need to bring models of care together to form a ‘flow’ of patients through the care space.

    Integrated Data Analysis

    Slide 9

    These and other factors outlined below suggest that hospital readmissions have much more to do with patients than with hospitals. These are the majority of them, stemming from problems in care, interventions and/or health care systems. Without the aspect of being discharged, the amount of care and education that can be provided to the patient to motivate them to act as a standardised carer and other follow-up and care would be limited, which would increase the risk of further complications.

    This type of incident care coordination is not done effectively. None of them offers “continuity of care” across providers and there is no communication among the providers in low care coordination settings. The two parameters are directly impacting not only readmission rates, but patients’ outcomes, too, and both are worsening. This discussion will assume that the discharge planning strategies, follow-up care and coordination strategies are part of a system-wide strategy, rather than just a response to the “readmission issue.

    Evidence-Based Recommendations

    Slide 10

    The gaps are filled with evidence-based recommendations as per the findings. Second, the creation of transitional care multidisciplinary teams may further improve the reality that the overall provider-Provider coordination (both within the community and within the hospital) has been strengthened. Thirdly, if you can discuss the immediate follow-up of the outpatient (7-14 days), you will find more complications at a younger age, and if you have the consequences, more efficient.

    Lastly, the adoption of the Electronic Health Record (EHR) assimilation process would also become more efficient to minimize the number of information transfer disruptions during the care provision changeover process. They are common-sense ideas of everyday life and can be abstracted and made demonstrable.

    Implementation Strategy and Stakeholders

    Slide 11

    It’s encouraging that a number of health system stakeholders might all agree on the need to rapidly implement these suggestions. The hospital management also needs to figure out solutions that include policies, resource allocation, and initiating change within the organization. No single individual can be considered the “greatest care team” because it is in the discharge planning and follow-up process, which includes the physicians, nurses, and care coordinators working together.

    The IT experts had also been instrumental in implementing the electronic system, which helps in promoting the sharing and communication of information. Other than that, it will be proactively working on engaging patients and their family members to ensure patients are compliant with care plans. It should go hand-in-hand with their communication plan, which involves training their staff, creating a performance dashboard, and establishing a protocol so that it will be on board and effective.

    Conclusion

    Slide 12

    Lack of discharge planning, hospital post-discharge care, and poor communication between care providers are extremely serious issues as they lead to readmissions to the hospital. The hypothesis that the factors are interrelated and are the reasons behind poor patient outcomes and high costs of healthcare gets support in the data review. The findings suggest, however, that it is not impossible to provide sufficient interventions that might help alleviate such fears through some of those interventions and evidence-based services.

    It’s a costly data model that will be more suited to guide healthcare institutions to make their clients safer and better prepared for care exchange and to avoid clogging hospital beds with unnecessary patients. The project has its merits, however, because it has afforded the opportunity to strategically enhance the system as it goes towards an end product, healthcare that is desired at the end of the day on a systems level.

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        Below are the references for MHA FPX 5020 Assessment 4 Data Analysis Project Report Presentation:

        AHRQ. (2024). Agency for Healthcare Research and Quality. Ahrq.gov; Agency for Healthcare Research and Quality. https://www.ahrq.gov/

        Balasubramanian, I., Andres, E. B., & Malhotra, C. (2025). Outpatient follow-up and 30-day readmissions. Journal of the American Medical Association Network Open8(11), e2541272. https://doi.org/10.1001/jamanetworkopen.2025.41272

        Butler, J., Petrie, M. C., Bains, M., Bawtinheimer, T., Code, J., Levitch, T., Malvolti, E., Monteleone, P., Stevens, P., Vafeiadou, J., & Lam, C. S. P. (2023). Research Involvement and Engagement9(1). https://doi.org/10.1186/s40900-023-00412-x

        Center for Medicare & Medicaid Services. (2026). Data.CMS.gov. Data.CMS.gov. https://data.cms.gov/

        A multi-disciplinary discharge coordination team to overcome discharge barriers and address the risk of delayed discharges. Risk Management and Healthcare Policy15(15), 141–149. https://doi.org/10.2147/rmhp.s347693

        Imhof, L., Heber, R., Blume, K. S., Schreyoegg, J., & Winter, V. (2025). Hospital discharge planning—an investigation of outcomes and interventions. Health Services Research61(1), e700060. https://doi.org/10.1111/1475-6773.70060

        Sinha, R. (2024). The role and impact of new technologies on healthcare systems. Discover Health Systems3(1), 96. https://doi.org/10.1007/s44250-024-00163-w

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