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Blockchain PHR App

Evaluating consumer trust in decentralized personal health records

Role
UX Researcher

Timeline
3 months (Sept-Dec 2021)

Team
4 researchers

Outcome

Peer-reviewed publication (Frontiers in Big Data, 2023)

SITUATION

Researchers at UT Austin were developing Medilinker, a blockchain-based app enabling patients to manage their personal health records (PHRs) and securely share them with healthcare providers.

The app addressed critical problems in healthcare: siloed records, interoperability gaps, information security risks, and redundant paperwork. But before finalizing the design for development, the team need to answer:

  • Do users understand how the app protects their information?

  • Can users navigate key features (connecting clinics, sharing records, updating documents)?

  • Do users trust blockchain enough to store their health data?

  • Would they actually use this?

 

The stakes: If users didn't trust the security model or couldn't complete basic tasks, the technology's potential would never translate to adoption.

TASK

As a UX researcher on a team of 4, I helped plan and execute a usability study evaluating the MediLinker prototype with consumers.

My responsibilities:

  • Heuristic evaluations and competitive research

  • Study design (participant quotas, screener survey, task flows)

  • Remote usability testing facilitation

  • SUS questionnaire administration

  • Note-taking coordination and thematic analysis

  • Design of findings presentation

 

Constraints:

  • Remote sessions only (COVID-era)

  • Limited access to target users (convenience sample)

  • Team members rotating moderator/notetaker roles

ACTION 1

Study Design & Execution

​Conducted remote 1:1 usability testing with 12 participants using the MediLinker prototype:

  • Participants: 12 consumers (convenience sample)

  • Format: Remote moderated sessions via Zoom

  • Tasks: 7 key tasks covering registration, clinic connection, document updates, and data sharing

  • Measures: Task completion, difficulty ratings (1-5), SUS questionnaire, post-test interview

Excerpts from the usability report.

Full report available here.

ACTION 2

Extracted key findings

Trust was the central barrier:
 

  • 5/12 participants had security concerns (worried about sharing medical info and keeping data safe)

  • 3/12 uncomfortable sharing driver's license (but fine sharing insurance info--sensitivity varies by data type)

  • Users want transparency ("What happens to my information? What is it used for?")

  • Only 1/3 understood blockchain (The technology's security benefits weren't self-evident)

Task difficulty revealed UX friction points

Disconnect from a clinic - 3.58 (hardest)

Hidden in 3-dot menu; no confirmation

Send requested info - 3.92

"Attributes" terminology unclear

Update driver's license - 4.08

Manual entry; no scan option

Add a clinic - 4.17

QR scanner not intuitive

Consent to research - 4.42

Register - 4.75

Switch users - 4.90 (easiest)

Positive signals

  • Most participants understood the app concept from the screens

  • Users liked the idea of not filling out paperwork repeatedly

  • 9/12 visit multiple clinics per year (clear use case)

Excerpts from the usability report.

Full report available here.

ACTION 3

Recommendations

Translated findings into 6 prioritized design recommendations:
 

  • Add visible security indicators: Security tags, VC badges, and tooltips at sharing moments to build trust

  • Clarify selective sharing: Replace "attributes" with "data points" or "info fields"; show granular control

  • Simplify document updates: Add scan-to-autofill for driver's license; include security FAQ

  • Make QR scanner obvious: Use camera/QR icon; change "Requested" to "Connection request sent"

  • Improve disconnect flow: Make clinic cards clickable; add confirmation step

  • Standardized navigation: Consistent header placement; clearer tab hierarchy

RESULTS + RELEVANCE

The research de-risked development by catching trust and workflow breakdowns before the build phase, giving the team a prioritized fix list tied to real user behavior.

Participants tested: 12 consumers
Core barrier identified: Trust/security perception (5/12 had concerns)
Usability issues found: 6 prioritized recommendations with severity ratings
Academic impact: Peer-reviewed publication in Frontiers in Big Data (2023)
Product impact: Medilinker team continued UI/UX improvements based on findings


 

Publication

Bautista, J. R., Harrell, D. T., Hanson, L., de Oliveira, E., Abdul-Moheeth, M., Meyer, E. T., & Khurshid, A. (2023). MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare. Frontiers in Big Data, 6. DOI: 10.3389/fdata.2023.1146023

Why This Matters:

Patient-centric health tech only works if people trust it and can actually use it. This study revealed that blockchain's security benefits aren't self-evident to users—the UI had to earn trust, not just promise "blockchain security."

EVOLUTION

What I learned

  • Lead with action items. Stakeholders need the "so what" upfront--consolidated recommendations at the top of reports, not buried after methodology.

  • Trust is a design problem, not a technology problem. Blockchain's security architecture meant nothing if users couldn't perceive it in the UI.

  • Task difficulty rankings reveal priority. The hardest tasks (disconnect, send info) pointed directly to where the experience needed the most work.

What I'd do differently

  • Expand recruitment beyond convenience sampling. Our participants skewed toward people in researchers' networks—limiting demographic diversity and potentially introducing bias.

  • Include target users earlier. Ideally test with actual patients managing chronic conditions across multiple providers, not just general consumers.

  • Add think-aloud protocol more consistently. Some sessions captured richer qualitative data than others based on moderation style.

What happened next

The MediLinker team explicitly continued UI/UX improvements and usability studies—including studies with patients and healthcare staff to adjust the app and identify workflow issues. The research contributed to a peer-reviewed publication validating the platform's design approach.

Tools: Figma • FigJam • Zoom • Google Docs • Google Sheets

Skills: Usability Testing • Study Design • Heuristic Evaluation • SUS Questionnaire • Thematic Analysis • Research Synthesis • Stakeholder Presentation

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