BEHOLD
This was the first task given to me in my internship at OSF Healthcare’s NeuroHealth Lab in their Jump Simulation & Innovation center. I was very excited to begin this project, as it combines my backgrounds in user experience design and psychology extremely well. Starting work on the DNE was the first time I had entered a project that already had a product, but did not have an experience to match.
Timeline:
June 2023 – Present
Project Goal:
Identify the best way to display DNE information to clinicians.
Software:
Adobe XD
PROLOGUE
The Digital Neurology Exam (DNE) is a new clinical tool being developed in the lab of neurologist Dr. Christopher Zallek at OSF Healthcare with the collaboration of engineers from the University of Illinois Urbana-Champaign (UIUC) and, more recently, myself. With the technology developed at UIUC, it is possible to generate numerical values for a wide variety of physical traits such as symmetry, velocity, and accuracy simply by taking a video of a person performing the actions done in a traditional neuro exam. In the past, neurologists have conducted the exam in a purely qualitative way, generating vague and unreliable results as each neurologist could make a different assessment of the exact same patient. By transforming the neuro exam process from a questionable, qualitative model into a standardized, quantitative one, the information provided by the DNE, if used correctly, could revolutionize neurology care.
THE PROBLEM
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
MY CHALLENGE
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
GRAPH DEMO & FEEDBACK
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
USER PERSONAS
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
INTERFACE PROTOTYPE & FEEDBACK
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
JOURNEY MAP
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
EPIC INTEGRATION
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.
FUTURE WORK
Introducing new tools into the healthcare environment is an arduous task. Clinicians already face high amounts of data overload and system fatigue, giving them a low desire to learn a new tool. It was clear from the beginning that, for the DNE to succeed, it would need to relieve the pressure of data instead of adding another number to check.