Citation :

Mahesh Kambala, 2024. "Predictive Analytics in Healthcare: Reducing Readmission Rates" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 3: 52-60.

Abstract :

Thus, the purpose of this paper is to review the literature regarding the effectiveness of using Predictive Analytics in the healthcare context particularly concerning the prevention of hospital readmissions. The author presents the problems of readmissions and introduces the potential use of predictive analytics in this issue in the introduction. Hence, the survey in the existing literature recognizes and reviews the literature on the status of the research and case studies endorsing the utilization of predictive models in the healthcare sector. To provide a better understanding of the analyzed literature, the method section presents the approach to data collection, modelling and assessment of the created model. In the results and discussion section, the paper explains the different studies and the implementation results or accomplishments or failures and drawbacks. To sum up, the last section reiterates the results of the study and discusses the fields that need further elaboration of the theory and practice.

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Keywords :

Predictive Analytics, Healthcare, Readmission Rates, Machine Learning, Data Analysis.