AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data

© Anshik 2021

AnshikAI for Healthcare with Keras and Tensorflow 2.0https://doi.org/10.1007/978-1-4842-7086-8_3

3. Predicting Hospital Readmission by Analyzing Patient EHR Records

Anshik¹  

(1)

New Delhi, India

 

A discharged patient who goes back to the hospital within a specified time frame is called readmitted in medical parlance. These readmission time frames can vary anywhere from 30 days to 1 year. The CMS that monitors the largest insurance programs, Medicare and Medicaid, defines a hospital readmission as "an admission to an acute care hospital within 30 days of discharge from the same or another acute care hospital.”

Why it is even important to analyze this data? As evident due to a time-frame restriction, if a patient is readmitted in a short ...