Pratap, Jayant | Digital Healthcare Research

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation

Description

This research applied machine learning to develop a model predicting surgical cancellations among pediatric patients, and found the feasibility in using these algorithms as a cost-effective quality-improvement measure.

Grant Number

R21 HS024983

Principal Investigator(s)

Pratap, Jayant

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report

Citation

Pratap J. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024983). Rockville, MD: Agency for Healthcare Research and Quality, 2019.

Principal Investigator

Pratap, Jayant

Project Name

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation

Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery.

Citation

Liu L, Ni Y, Zhang N, Nick Pratap J. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. Int J Med Inform. 2019 Sep;129:234-241. doi:
10.1016/j.ijmedinf.2019.06.007. Epub 2019 Jun 8. PMID: 31445261.

Principal Investigator

Pratap, Jayant

Project Name

Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation