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Dell Medical School, The University of Texas at Austin // 2021

mobile phone and stethoscope

Can users understand and trust blockchain technology when it's used to manage personal health information? Almost half show concern about security & privacy.

Researchers at The University of Texas at Austin were designing an app that enabled patients to manage their electronic health records (EHRs) and securely share that information with healthcare providers via blockchain technology. This addressed the issues of siloed records, interoperability, information security, and manual processes. However, as many people are not familiar with blockchain, the client needed to know how the app would perform with users before finalizing the design for development. Our class, led by UX research industry veteran Eric Nordquist, were enlisted to conduct this research over the span of 3 months. Student teams conducted a heuristic evaluation, competitive research, and a usability study to generate insights so we could make data-informed recommendations to the client. As this was a student project, the results as far as we know are that the designers made improvements to the app design based on common insights from the 6 student teams. A research paper on MediLinker was published in June of 2023.

The R&D team needed data-informed usability insight on the prototype design

Impact to Stakeholders
Anyone who has ever been to a healthcare provider knows the drill. Fill out a bunch of the same paperwork for every clinic/hospital, including dependents. If you need to share your health records from another provider, it's a very manual process of contacting that provider and requesting the records be sent to you via fax so you can then give the copies to your other provider. It's a system that's meant to protect a patient's health data confidentiality but the burden falls on the patient and by extension, impacts healthcare practitioners' ability to provide quality care.

Blockchain technology is revolutionizing the storage and exchange of information. Through distributed ledger technology, patients can have control over their own personal EHRs and securely share their records with providers. No more fragmented, siloed personal data or filling out the same patient forms a hundred times.

Research Questions
Would the designs successfully explain how the app protects a user's information? Or what blockchain is? Would users be able to navigate the app and know how to use key features? Would they actually want to use it?

Contributed UX research and presentation design to a team of rockstar MSIS graduates

Laura Huerta
Anna Shulpina
Laura Manzanarez
Vanessa Sanchez

Role & Skills
Heuristic evaluation, competitive research, research/study design, participant quota, screener survey design, usability session script, remote usability testing, usability notetaking, usability testing facilitation, SUS questionnaire, thematic analysis, presentation design, research readout. Responsibilities were evenly distributed across the team. I led the presentation design.

Figma, FigJam, Zoom, Google Sheets, Google Docs

3 months

Most participants liked the idea of the app, but 5 out of 12 participants had concerns about security and privacy


Our research revealed 9/12 participants visit more than 1 clinic per year

Our methodology was thorough but had limitations
We included a participant quota, 21-question screener and recruitment script in the recruitment phase of our methodology. In the design of the study, we chose to begin with 5 baseline questions to build rapport followed by 7 tasks to asses key user flows in the clickable prototype. After each task, participants were asked 7 questions. At the end of each session, participants were asked 10 system usability scale questions. Each session was schedule for 1 hour, though some went shorter or longer. Tasks were untimed and we used the think-aloud protocol. Each session included 1 notetaker and 1 moderator and was recorded with the participant's consent to facilitate notetaking later. The biggest limitation was that we could only recruit from our own friends and family.
Our limitations as students resulted in biased sampling and uneven distribution of participants
As students, we recruit who we can from our personal networks. Although we strived for an equitable sampling, our participant demographics admittedly were skewed towards people between 20 and 30 years old, most of which visit clinics fewer than 5 times per year. The lived experiences of people in this age group correlate with greater familiarity and comfort with technology. They are also less likely to be caretakers or live with an acquired disability. 

We evaluated 7 key tasks

The tasks were:
  1. Register
  2. Add a clinic
  3. Send requested info for verification
  4. Disconnect from a clinic
  5. Update driver's license
  6. Consent to research study
  7. Switch users

We recruited as equitably as possible from friends and family, hitting our target sample number of 12

Findings may be skewed
We recognize that some of our qualitative data may be skewed due to our relationships with participants. We did our best to pair moderators up with strangers.


Outline your process and methodology
To provide your audience with some background and sense of how you did things, begin your read out with 1-2 slides on process and methodology.
Try recruiting from online forums like LinkedIn
While this may not be the best strategy in all situations, for graduate school it's pretty good. It will allow you to reach more of your network. You may even be surprised by who volunteers.
Lead with your insights and recommendations
Don't leave the big reveal for the end....that's a lot to sit through when you've just put together a lengthy and detailed report.
Consolidate detailed recommendations for your team
In a real team, folks may not have time to dig through a lengthy slide deck. For their convenience, it's a good idea to provide a consolidated list of action items in the first section of the report.
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