Analytics and Automation in Healthcare Organizations

This project, funded by a grant from the National Science Foundation (SES-1750731), asks how do healthcare organizations develop and implement data-intensive health information technologies such as clinical decision support systems, analytics dashboards, EHRs?

What are we doing? 

We're in the process of interviewing analysts, clinicians, administrators, and other key stakeholders as well as observing at healthcare organizations. 

Why are we doing it? 

We want to help healthcare organizations understand and address the problems that arise in health automation and analytics work. We also want to help encourage more effective deliberations about the future of health and work. We also want to answer fundamental questions about the ways in which changes in communication, organization, technology are intertwined.

How can I get involved? 

Do you have a compelling healthcare analytics or automation project? Be in touch at apronlab [at] utexas [dot] edu so we can learn about it!

A team of graduate students works in the APRON Lab on this project. Join us by contacting us at apronlab [at] utexas [dot] edu. 

I've already participated in this research effort--could I have a copy of the documentation associated with the project? 

Sure! Here is a copy of the informed consent documentation.

Unless otherwise noted all materials © 2019 by Joshua B. Barbour. Apron icon created by Bureau Briganti from the Noun Project. 

This material is based upon work supported by the National Science Foundation under Grant No. SES-1750731. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.