USA, AZ, Tucson

Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding

Description: 

This research used natural language processing and machine learning to develop algorithms to recognize diagnostic criteria in free text for autism spectrum disorder, to increase earlier diagnosis and treatment.

Principal Investigator: 
Project Dates: 
September 1, 2017 to August 31, 2020

Individualized Drug Interaction Alerts

Description: 

This project developed patient-tailored relevant warnings about drug-drug interactions and found that it reduced irrelevant alerts.

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

Clinical Decision Support Optimizing Necrotizing Enterocolitis Prevention Implementation in Neonatal Intensive Care Unit

Description: 

This study defined a knowledge base for a clinical decision support (CDS) tool and identified technology requirements for CDS design to optimize adoption of necrotizing enterocolitis prevention practices to support clinician decision making with the overall goal to improve the use of evidence-based practices for prevention and early recognition of NEC among premature infants.

Principal Investigator: 
Project Dates: 
September 30, 2014 to September 29, 2020