Predictive Patient Readmission Risk Using Salesforce Health Cloud

Authors

  • Satwik Mamidi Salesforce Developer, USA Author

DOI:

https://doi.org/10.47363/JHSR/2023(2)E106

Keywords:

Salesforce, Health Cloud, Predictive Patient Readmission,, Readmission Risk, Accurate Predictions

Abstract

The following article delves into the implementation of the Salesforce Health Cloud as a technology to support the predictive system of the readmission of patients. It highlights the significance of predictive analytics in identifying patients with high risks to support improvement of the readmission rate and strengthening the post-discharge care system. The article is comprehensive to support the entire process of implementation as it has taken a critical approach to deal with the topic by highlighting benefits as well as challenges associated with the process.

Author Biography

  • Satwik Mamidi, Salesforce Developer, USA

    Salesforce Developer, USA 

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Published

2023-02-27