Medicine and Health Sciences Commons^™

How Unstructured Data From The Data Warehouse Can Be Used With Machine Learning And Visualization To Develop Novel Medical Technologies, Alfred A. Cecchetti

Faculty Research Day

Machine Learning (ML) can accurately classify and accurately predict disease as well as other medical events.

Device Programming, especially smartphone applications, can provide new ways to acquire, transport, store, process, and secure personalized patient data to deliver meaningful results.

Telehealth In Critical Care: Quality And Cost Outcomes, Michael Robbie, Stephanie Cole, Bukola Abodunde, Alberto Coustasse

Faculty Research Day

The purpose of this study was to assess the potential for the implementation of telehealth in the ICU to determine its impact on quality of care and overall healthcare costs. The primary hypothesis of this study was that telehealth would be linked with lower ICU LOS and hospital mortality rates among critically ill patients.

Post-Implementation Analysis Of The Impact Of Intravenous Automation Systems On Health-System Pharmacy Operations, Craig Kimble, Ken Maxik, Chris Booth, Michael Rudolph, Kim Broedel-Zaugg

Faculty Research Day

We have all seen the reports on the news about issues related to IV rooms and IV room compounding. Many health-system pharmacies have implemented, or are considering some form of intravenous (IV) automation and/ or compounding system in their clean rooms to reduce pharmacy errors and improve accuracy, productivity, and workflow. Manufacturers tout that automated systems, used appropriately, aid in reducing errors from reaching patients. Additionally, IV admixture automation is one of the most recent areas where technology has been added to pharmacy workflow.

Patient Communication With Their General Practice Physicians: Does Age Matter?, William K. Willis, Marcy Butler, Ashish Chandra

Faculty Research Day

We examine the difference in outcomes between various age groups and their communication with their General Practitioner.