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NURS FPX 6612 Assessment 4 Cost Savings Analysis

Assessment 4: Cost Savings Analysis

Name

NURS-FPX6612: Health Care Models Used in Care Coordination

Capella University

Instructor Name

July 2024

Cost Savings Analysis

Effective care coordination is increasingly essential in the modern healthcare landscape, where financial sustainability and quality patient outcomes are paramount (Arnold et al., 2022). This assessment brings out the effects of the worth of care coordination on costs that could be achieved with the intelligent use of HIT in the services rendered in the health sector. As a senior care coordinator, this evaluation of such an approach identifies multiple areas where increased collaboration can help avoid waste and support positive patient outcomes. Using detailed quantitative data analysis and strategic recommendations and conclusions, this analysis highlights the importance of care coordination to the overall increased efficiency and effectiveness of healthcare organizations.

Spreadsheet for Cost Savings Analysis through Enhanced Care Coordination

The following table provides the detailed cross-utilization breakdown of cost savings due to better care coordination across various healthcare facilities. It defines particular aspects where activity has led to substantial financial benefits: the current annual expenses, the expected net, and how such savings affect it.

Cost-Saving ElementsCurrent Annual CostAnticipated Savings
Lowered Hospital Readmission Rates$4,500,000$1,350,000
Decreased Emergency Room Visits$3,200,000$850,000
Optimized Medication Oversight$1,800,000$540,000
Better Chronic Disease Management$3,800,000$1,150,000
Efficient Administrative Operations$1,200,000$350,000

The spreadsheet indicates the cost-benefit of implementing care coordination strategies to improve the quality of healthcare services in different operations. It defines some factors that have shown such attributes that entail the net savings relating to strategic improvement: The present year cost, prospective savings, and a description of how the savings bear an influence. For instance, the expenditure relating to readmissions in a hospital was $4,500,000 per financial year. Thus, if better strategies in care coordination are to be applied, improved follow-ups, patient education, and the like, then the approximate cost savings, which would be expected, are $1,350,000. This is why reducing non-recurring readmissions and improving such components of the patient’s healing journey as transitions are important.

Hence, improved care coordination can also help lessen the yearly $3,200,000 cost of emergency room visits. It can notably save $850000 by improving community care and the usage of primary care as well as antitransformity to chronic ailments. This reduction underlines a significant need for effective primary health care for people to address minor ailments before they reach the emergency level, thus minimizing their attendance in such services. A better medication management outlook yields related results as accurate reconciliation and reduced mistakes can cut the current $1,800,000 by approximately $540,000 (Roman et al., 2020).

Also, better chronic disease management and redesigned workflows can generate large, less costly value (Singer & Porta, 2022). Total costs of dealing with chronic diseases currently stand at $3,800,000; integrated care management and monitoring can shave off $1,150,000 (Alowais et al., 2023). Minimized/properly handled administrative procedures in the healthcare sector require $1,200,000 annually, saving $350,000 (Yogesh & Karthikeyan, 2022). It indicates the advantages of centralized administrative procedures, guaranteeing cries and error-free resource allocation. These comprehensive savings underline the significance of cohesion in the management and delivery of services when it comes to service delivery in healthcare facilities.

Cost Savings Through Enhanced Care Coordination

The coordination of care is one way efficient strategies can bring about more cost-effective health systems and improve the quality of care (Alolayyan et al., 2020). For example, one can contemplate ways by which the number of readmissions in hospitals can be prevented, and this would lead to many benefits. If post-discharge follow-up and teaching are given to proper patients, then the frequency of return admissions is drastically reduced, which translates to smaller annual returns by healthcare organizations. Likewise, a better state of chronic disease since periodic checkups and cooperation of other caregivers reduce many ailments that would otherwise require costly emergencies (Alowais et al., 2023). These strategies do not only reduce expenditure but also act as a means of raising health standards and patient satisfaction levels.

Primary Evidence-Based Sources of Information

The conclusions made in this analysis are based on reputable evidence-based sources to enhance validity. Numerous research in the last couple of years has shown the positive effects on the organization’s pocket and patients’ outcomes when efficient care coordination is utilized. For instance, research by Duan et al. (2021) pointed out that care coordination models decrease the readmission rate drastically in patient follow-ups and proper post-discharge utilization of services. Likewise, a study by Singer and Porta (2022) stated that effective care planning, which involves consideration of social determinants of health, can lower the chance of ER admissions because of better access to primary care services and health promotion in chronic disease management. These studies provide more positive empirical evidence about the expected financing savings and benefits the analysis highlights.

Substantiating Conclusions with Data

Empirical research and real-world evidence substantiate the data presented in this analysis. For instance, the reduction in hospital readmissions, projected to save $1,350,000 annually, aligns with findings from Duan et al. (2021), who demonstrated a 30% reduction in readmissions through effective care coordination. Furthermore, Wells et al. (2020) highlighted the financial impact of improved medication management, which prevents adverse drug events and unnecessary hospitalizations, corroborating the anticipated savings of $540,000. These studies validate the financial projections and underscore the critical role of care coordination in achieving cost savings.

Underlying Assumptions and Reasoned Conclusions

This analysis is based on some assumptions that prior research identified as reasonable or not likely to be problematic. The core assumptions include that in the current model of care, the care is disjointed due to insufficient communication between the different caregivers, that there are likely to be inefficiencies and errors in such a disjoined setting, and that an integrated bent is likely to improve the quality and reduce the costs. Numerous studies validate these assumptions. Li et al. (2022) highlight the negative impacts of fragmented care and the benefits of coordinated care models. By synthesizing these insights, the analysis concludes that investing in care coordination is a clinical imperative and a financially sound strategy, leading to substantial cost savings and improved patient outcomes. 

Promoting Health Consumerism and Positive Health Outcomes

Research by Arnold et al. (2022) noted that care coordination reduces health consumerism, helping patients gain knowledge and financial tools for making health choices. According to Roman et al. (2020), patient education is a fundamental component of coordinated care. It entails the patients and the caregivers to ensure the patient has adequate knowledge of the condition and the need to adhere to the care plan. Therefore, care coordination also aligns with accessibility for clients where timely access to healthcare is facilitated due to reduced waiting time to see a doctor, making it easier for patients to seek care when needed most, thus reducing the risks associated with health complications (Kamel & Zhang, 2021).

Positive Health Outcomes Through Coordinated Care

Coordinated and integrated care is the best care patients can get since it coordinates their needs across the various curative factors in receiving a holistic care coordination approach (Oxholm et al., 2021). The patient-centered medical home is an example of the coordinated care model where a patient has a single healthcare provider with a comprehensive care plan where all professionals involved in the patient’s treatment communicate frequently; thus, coordinating care avoids the risk of medical errors from subpar coordination (Nguyen et al ., 2021). The follow-ups and monitoring through coordinated care lead to early identification and assessment of possible health complications and augment patient outcomes, decreasing readmissions and outpatient visits (Yogesh & Karthikeyan, 2022). SBAR communication tools provide a more efficient way of transferring patient information from one caregiver to another in case of shift handover since they come with an organized manner of communicating patient information (Ranjan & Foropon, 2021).

Evidence Supporting the Benefits of Care Coordination

Several studies have demonstrated that enhanced care coordination benefits health consumers and their outcomes. A study conducted by Singer & Porta (2022) has found that the patients involved in the coordinated care models express greater satisfaction arising from increased interaction and involvement in care planning. According to a study by Youn et al. (2022), working under integrated care, patients can be spared from readmissions and emergency visits as they are given ongoing and watchful care. Medication management whereby different caregivers have their patient’s prescriptions coordinated has been observed to reduce adverse drug events and increase patient adherence to treatment, boosting their health status (Wells et al., 2020). These findings reiterate the need for coordination in consumerism to address the factors affecting efficiency and achieving healthier outcomes for consumers.

Enhancing Data Collection and Quality Improvement

An aspect that contributes greatly to care coordination is that relevant details concerning a patient are well recorded and passed from one medical center to another as efforts to enhance the probabilities of obtaining evidence-based patient data are enhanced. Based on the PCMH model, care coordination pulls together the patient’s identification data, medical history, previous and current treatments, and the patient’s condition (Duan et al., 2021). This integrated approach creates a big pool of data and a robust sample for data collection for further use in exploring therapeutic possibilities, observing trends, and assessing changes in patients’ outcomes in the future. Through the PCMH model, it is realized that patient information is compiled to ensure that patient data is accurate and well-coordinated to aid providers in aiding patient-focused care (Yogesh & Karthikeyan, 2022).

Quality Improvement Through Coordinated Care

Patient care coordination also helps enhance the quality of care in health systems by employing the PCMH model (Yogesh & Karthy, 2022). First, it helps efficient communication across the health care practitioners, minimizing the likelihood of medical mistakes and guaranteeing that treatment strategies are well executed. Secondly, it embraces follow-up and modification, which assists in identifying most of the budding health complications early enough before they worsen and lead to complications and re-hospitalization. Third, care coordination helps implement standard and research-based practices, enabling a range of treatments to be applied. Fourth, it improves the patient’s experiences and activation through education and support, contributing to improved patient outcomes (Arnold et al., 2022). Finally, it empowers the ability to conduct data analysis to monitor the impact of the care interventions and make the correct changes for the improvement of the interventions consistently.

Logical Implications and Model Application

Logical consequences of the specific procedures in the frame of the PCMH model application are evident for the improvement of more effective evidence-based data collection and overall quality. Comprehensive integration of care coordination into practice flows within the PCMH model guarantees documentation and analysis of each patient encounter (Arnold et al., 2022). Due to its focus on detailed data accumulation the subsequent patient-centered model provides for higher patients’ quality of life and for accomplishing the general objective of raising healthcare quality. The data coordination accomplished through care collaboration lets healthcare institutions analyze compliance deficiencies, utilize appropriate interventions, and evaluate their effectiveness in the long run. This approach ensures that possible healthcare delivery is always keyed into maximizing health results contained in the available evidence, hence maximizing health outcomes. 

NURS FPX 6612 Assessment 4 Cost Savings Analysis Conclusion

This assessment has demonstrated that proper care coordination can drastically improve the financial and value of healthcare systems. Patient care coordination aims at reducing health complications, reducing health expenses from minimization of cases resulting in same-day readmission in hospitals and emergency visits, and enhanced medication administration as well as working on the numerous administrative functions at lower costs. The commitment to the PCMH model promotes gathering more information for analysis and maintaining quality and the triangulation of the patient treatment to reflect current trends and standards. Hence, adequate resources must be directed towards developing sound care coordination mechanisms to engender long-term gains that will render positive outcomes for the patient and healthcare professional.

NURS FPX 6612 Assessment 4 Cost Savings Analysis References

Alolayyan, M. N., Alyahya, M. S., Alalawin, A. H., Shoukat, A., & Nusairat, F. T. (2020). Health information technology and hospital performance the role of health information quality in teaching hospitals. Heliyon, 6(10), e05040. https://doi.org/10.1016/j.heliyon.2020.e05040

Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Saleh, K., Badreldin, A., Yami, M. S., Harbi, S., & Albekairy, A. M. (2023). Revolutionizing healthcare: The role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689. https://doi.org/10.1186/s12909-023-04698-z

Arnold, C., Hennrich, P., & Wensing, M. (2022). Information exchange networks for chronic diseases in primary care practices in Germany: A cross-sectional study. BMC Primary Care, 23, 56. https://doi.org/10.1186/s12875-022-01649-3

Duan, W., Ullman, K., Majeski, B., Miake, I., Diem, S., & Wilt, T. J. (2021). Care coordination models and tools: Systematic review and key informant interviews. Journal of General Internal Medicine, 37(6), 1367–1379. https://doi.org/10.1007/s11606-021-07158-w

Kamel, N., & Zhang, P. (2021). Digital twins: From personalized medicine to precision public health. Journal of Personalized Medicine, 11(8), 745. https://doi.org/10.3390/jpm11080745

Li, N., Pan, J., & Chen, N. (2022). Coordination control for hospital referral with multitype patients. IEEE Transactions on Automation Science and Engineering, 19(3), 2295–2309. https://doi.org/10.1109/tase.2021.3062852

Nguyen, Q., Wybrow, M., Burstein, F., Taylor, D., & Endicott, J. (2021). Understanding the impacts of health information systems on patient flow management: A systematic review across several decades of research. PLOS ONE, 17(9), e0274493. https://doi.org/10.1371/journal.pone.0274493

Oxholm, S., Guida, S., & Gyrd, D. (2021). Allocation of health care under pay for performance: Winners and losers. Social Science & Medicine, 278, 113939. https://doi.org/10.1016/j.socscimed.2021.113939

Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56, 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231

Roman, S. B., Dworkin, P. H., Dickinson, P., & Rogers, S. C. (2020). Analysis of care coordination needs for families of children with special health care needs. Journal of Developmental & Behavioral Pediatrics, 41(1), 58–64. https://doi.org/10.1097/dbp.0000000000000734

Singer, C., & Porta, C. (2022). Improving patient well-being in the United States through care coordination interventions informed by social determinants of health. Health & Social Care in the Community, 30(6). https://doi.org/10.1111/hsc.13776

Wells, R., Breckenridge, E. D., Siañez, M., Tamayo, L., Kum, H. C., & Ohsfeldt, R. L. (2020). Self-reported quality health and cost-related outcomes of care coordination among patients with complex health needs. Population Health Management, 23(1), 59–67. https://doi.org/10.1089/pop.2019.0007

Yogesh, M. J., & Karthikeyan, J. (2022). Health informatics: Engaging modern healthcare units: A brief overview. Frontiers in Public Health, 10, 854688. https://doi.org/10.3389/fpubh.2022.854688

Youn, S., Geismar, H. N., & Pinedo, M. (2022). Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities. Production and Operations Management, 31(12), 4407–4423. https://doi.org/10.1111/poms.13867

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