Week 4

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Northcentral University *

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7012

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Health Science

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Apr 3, 2024

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docx

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Uploaded by smstuckey_0518

1 Week 4 - Assignment: Explore Statistical Methods for Addressing Healthcare Management and Operation Scenarios Shermaine M. Stuckey DHA-7012: Data-Driven Decision Making Northcentral University Dr. Linda Mast January 21, 2024

2 To: Board of Directors, Memorial Hospital From: Shermaine Stuckey, Data Analyst Date: January 21, 2024 Subject: Data for planning, operations, and management of Memorial Hospital As the healthcare industry continues to grow, predictive analytics has emerged as a revolutionary decision-making tool. It cannot be overstated that the advantages of using predictive analytics in health care plans are positive. Predictive analytics helps organizations to forecast the trends, predict results and plan resources effectively leading to general efficiency. To further strengthen our organization’s commitment to a data-driven approach, I suggest the addition of two senior analysts to our esteemed analytic team. To highlight the significance of predictive analytics, I have critically evaluated six healthcare research papers which applied different methods for prediction. This research spans various health issues, including increasing primary care access during emergencies to enhance resource allocation and fortifying cybersecurity. The results are presented in Table 1 to show how predictive analytics can yield practical information for decision support. A well-established data analytical team allows us to prepare our organization for the benefits of predictive analytics that will take us towards a future where decisions are based on facts in health care management. Finally, the hiring of senior data analysts will not only enhance our analytical abilities but also help us achieve organizational objectives in this challenging healthcare setting. The researched studies stand as a powerful witness to the elasticity of predictive analytics in overcoming diverse health care challenges. The use of predictive analytics in the health sector begins with primary care provision during crises, through resource allocation optimization and

3 enhancing cybersecurity measures. The findings of these studies are consistent with the ability for predictive analytics to not only provide but also enhance decision-making functions in several aspects of health care management. In terms of the introduction and implementation of our organizational strategy, predictive analytics will bring great benefits to how we plan, conduct operations, or manage health care services with efficiency. Providing a more subtle perspective, predictive analytics enables us to take an anticipative approach instead of relying on reactivity in healthcare management with the help of anticipated trends and applied resources. By tailoring our responses and interventions based on the knowledge of healthcare service demand in crisis situations or seasonal patterns that are derived from surgical outcomes we can improve them. Our suggested senior data analysts play an integral role in enhancing our data-driven solutions. These specialists will not only help to decipher the convoluted patterns that are revealed by predictive analytics but also function as a guide for strategic decisions based on such data. They will have a significant role in making our organization one of the leaders using data as strategic assets, which leads to organizational goals for achieving efficient and customer-centric healthcare services. With this shift towards predictive analytics, we are setting ourselves up for a more resilient and agile healthcare network. Thank you for taking this proposal into consideration. I am open to further discussion and questions. Sincerely, Shermaine M. Stuckey

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