Respond With Intext Question & Answer Guide (With Explanation)
This question focuses on applying theory to practical scenarios.
What This Question Is About
This question relates to respond with intext and requires a structured academic response.
How to Approach This Question
Focus on explaining concepts clearly and supporting them with examples.
Key Explanation
This topic involves respond with intext. A strong answer should include explanation, application, and examples.
Original Question
How to respond with two intext citation and references in APA format from scholarly resouces. Predictive analytics has been instrumental in giving providers options to anticipate patient needs and reduce costs of healthcare. However, there have been some issues regarding data privacy and the occurrence of biases. An example of the use of predictive analytics can be found at Corewell Health. The organization implemented an AI tool to assist in reducing patient readmissions. The tool was programmed to analyze factors such as behavioral health, clinical changes, and social determinants of health. The targeted effort prevented the readmission of 200 patients saving a total of $5 million. The patients also benefited by receiving personalized patient plans. In addition, this provided the improved allocation of healthcare resources to other patients. There are also some drawbacks to using the tool such as biased care, the possibility of data breaches, and overreliance on technology which may affect clinical decision-making. Genomics in predictive analytics raises concerns about discrimination. Algorithms based on biased data can perpetuate disparities. For example, a study showed that a predictive algorithm unfairly referred to healthier white patients over sicker black patients to care management programs. Historical inequities in the data can lead to discriminatory outcomes based on race, gender, or socioeconomic status. Thus, while the technology is not inherently bias it c
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