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Case Study
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Carolinas HealthCare System Case: Conumer Analytics

Case Study Instructions:
These write-ups should be typed, one-inch margins on all sides; 12 pt. Times New Romans; page numbers; single-space typed; and two pages (maximum length). This is not to be a review of the case. In this write-up, you need to be extremely specific. You should not repeat any of the case detail. The format of this case analysis should have the following headings: Problems/Issues; Possible Solutions; Recommend Solutions; and Expected Outcomes. These write-ups are designed to be executive decision documents written so that your immediate report-to would be able to read, understand, and implement your decision.
Case Study Sample Content Preview:
Carolinas Healthcare System Your Name Course and Section Professor's Name February 18, 2024 Understanding effective data-driven decision-making has become critical in the healthcare industry. This is mainly due to the never-ending medical demand for patients and the increasing quality of care. Accordingly, it is not a secret that organizations must develop approaches that will best serve their patients while being practical and efficient. In line with this, one of the adaptable techniques that could be used in the healthcare field is Dickson's Advanced Analytics (DA2). Like other organizational applications, DA2 plays a crucial role in harnessing data to develop evidence-based plans while addressing critical obstacles (Dulin et al., 2016). However, it is worth noting that specific strategic difficulties substantially challenge DA2's efficacy and expansion. Thus, the author would like to provide a more thorough paper about the difficulties and the suggested methods to overcome them. Problem As mentioned earlier, one of the issues that the DA2 is now facing is the high demand for analytic services inside the Community Health Services (CHS), which has caused the CHS to surpass its present capacity. However, as mentioned, one of the main problems was that the DA2's inability to handle information from within the CHS delays the appropriate handling of queries. Although there has been much enthusiasm for developing external commercial alternatives to produce revenue for CHS, internal constraints limit DA2's capacity to pursue such opportunities. The problem also posed a complex problem regarding success and the need to balance internal and external priorities to achieve sustainable growth. Additionally, it is essential to note that due to its predictive model, DA2 is widely used in the medical industry to acquire important insight into specific medical problems. DA2 confronts hurdles in transferring these insights into practical strategies and treatments that enhance patient care and results. Possible Solution Although it is the author’s belief possible solutions could be used to resolve this problem, one of the best method...
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