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Patient Generated Health Data
Project Type
Service Design
Date
February 2024
Location
Austin, Texas
Problem/ Goal
How might we advance user engagement and visualization of active and passive forms of PGHD for individual level functions including decision support and shared decision making, and aggregate level functions, including care redesign and population health measurement within learning health systems?
Customer/ User
Musculoskeletal Institute UT Austin
Approach
Wanted to engage patients and educate them about patient generated health data to increase buy-in and improve response rate to surveys.
Solution
This is a work in progress, more to come in May 2024.
My Role
In a team of four other students in the Masters in Design focused on Health we researched, interviewed, synthesized research and developed a proposal for the Musculoskeletal Institute.
Working with clinicians and staff from the Musculoskeletal Institute at the University of Texas in Austin, we researched how patient generated health data was captured and utilized by clinicians to improve patient outcomes.
Our mission (from the client):
"How might we advance user engagement and visualization of active and passive forms of PGHD for individual level functions including decision support and shared decision making, and aggregate level functions, including care redesign and population health measurement within learning health systems?
Project Context:
There has been considerable hype surrounding person generated health data (PGHD). The development and proliferation of active measures of health status (or Patient Reported Outcome (PRO) measures) and digital platforms (EHRs, registries, outcome measurement platforms) that capture PROs, serve as strong 'innovation triggers'. However, despite increased access and availability of such tools and technologies, many stakeholders in health care have experienced a 'peak of inflated expectations' and universally failed to utilize PGHD at the point of care. Finding themselves in a 'trough of disillusionment', they have struggled to shift the application of PGHD from research bench to clinical practice while facing human, technical, and system-level barriers to adoption. There is a critical need for stakeholders in healthcare to emerge from the trough toward 'slopes of enlightenment' and ‘plateaus of productivity’. Clinical teams need to visualize and engage users with precise, efficient PGHD at the point-of-care for decision support and shared decision making; health systems desperately seek to implement these data within clinical workflows to
improve care path design and population health; and technologists continually attempt to advance the nexus between AI technologies and both active and passive forms of PGHD using sensors and digital phenotyping."
