International Journal of Physical Medicine & Rehabilitation
Open Access

Department of Applied Data Science, Stevens Institute of Technology, Hoboken, USA

Publications

• Research Article   
  Using Machine Learning to predict post-acute care and minimize delays caused by Prior
  Author(s): Avishek Choudhury*
  
  Objective: A patient’s medical insurance coverage plays an essential role in determining the Post-Acute Care (PAC) discharge disposition. The prior authorization process postpones the PAC discharge disposition, increases the inpatient length of stay, and effects patient health. Our study implements predictive analytics for the early prediction of the PAC discharge disposition to reduce the deferments caused by prior authorization, the inpatient length of stay, and inpatient stay expenses. Methodology: We conducted a group discussion involving 25 Patient Care Facilitators (PCFs) and two Registered Nurses (RNs) and retrieved 1600 patient data records from the initial nursing assessment and discharge notes Results: The Chi-Squared Automatic Interaction Detector (CHAID) algorithm enabled the early predic.. View More»
  DOI: 10.35248/2329-9096.21.9.597

  Abstract HTML PDF