Using Patient-Generated Data to Prevent Post-stroke Falls
This project was completed as part of the American Medical Informatics Association (AMIA) Annual Symposium's Student Design Challenge in 2017. Our team proudly won second place.
Team members: Angela Smith, Eleanor Burgess, Jennifer Pacheco, Noah Weingarten
We created an integrated suite of sensors and mobile applications that can administer a digital fall-risk assessment and track the user's score over time. The clinically validated Timed Up and Go (TUG) test is typically administered at a physical therapist's office which would require the post-stroke patient to a) have a physical therapist and b) transport themselves to the office regularly. Our system enables patients to keep track of their fall risk score regularly within the safety of their own home and transfer the information to their care provider through the electronic health record (EHR).
STUDENT DESIGN CHALLENGE prompt
The Student Design Challenge invited submissions that focused on leveraging Patient Generated Data for improving patient care. Patient-Generated Data (PGD) has become a focus of increasing attention for both healthcare providers and patients. There is a growing recognition of its potential to provide new insights into individuals’ lives and health outside of the traditional clinical encounters. However, there remain considerable barriers to integrating PGD with Electronic Health Record (EHR) systems, and to using these data to improve patient care. In this challenge, the committee invited teams of students to envision new ways for integrating PGD with EHR and for using these data to improve clinical decision-making, patient care, and patient-provider communication.
Lack of support, information, and therapy after discharge
Lack of awareness of issues that warrant immediate medical attention
Lack of visibility into patient's recovery status
Difficulty assessing actionable fall risk assessment
Above are the steps a user would take to complete a Timed Up and Go assessment.