USA, OH, Cincinnati

Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Description: 

This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.

Principal Investigator: 
Project Dates: 
September 30, 2016 to September 29, 2018

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

Description: 

This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.

Principal Investigator: 
Project Dates: 
September 1, 2016 to August 31, 2019

Improving ADHD Behavioral Care Quality in Community-Based Pediatric Settings

Description: 

This project will enhance an existing Web-based portal, myADHDportal.com, to integrate behavioral tools alongside existing medication management tools for attention deficit hyperactivity disorder (ADHD).

Principal Investigator: 
Project Dates: 
July 1, 2016 to April 30, 2020

A Mobile App to Enhance Smoking Cessation Shared Decision Making in Primary Care

Description: 

This project developed and tested a tablet-based decision aid to assist primary care providers in applying patient-reported outcomes to smoking cessation and found that the tool facilitated more conversations about smoking cessation between patients and providers.

Principal Investigator: 
Project Dates: 
June 1, 2015 to November 30, 2017

Access to Pediatric Voice Therapy: A Telehealth Solution

Description: 

This project tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.

Principal Investigator: 
Project Dates: 
September 30, 2012 to September 29, 2014