Anatomy of Personalized Telehealth
I built the foundational AI-based telehealth tool for Prana. This has been aiding in their fundraising efforts and helped in onboarding double the users from previous quarter.
Team: Me (Design, Research), CEO, 3 Engineers
Duration: 1 month Sprint
Translate user-generated health data into clinician-ready context: Bridge Prana’s rich personal data (labs, symptoms, goals) into structured, actionable inputs for clinical decision-making.
Drive meaningful action toward longer, healthier lives: Make it easy for users to move from insight to care, improving early intervention, adherence, and health outcomes.
with individuals who recently received low B12 results via Prana. We explored how they interpreted the insight, what action they took (if any), and what kind of clinical intervention felt accessible or overwhelming.
(Zuckerberg General) focused on how providers manage Prana patients and what kind of context or tools would improve consult efficiency.
were triggered by unexpected patterns around fatigue, uncertainty, and health anxiety in user responses, highlighting the emotional layer of decision paralysis.
60% of users turned to Reddit or other forums after receiving their B12 results and one user quotes their "Fear of overthinking"
Clinicians shared that managing Prana users through manual Excel tracking was becoming unsustainable
I rapidly iterated on the scheduling and prep flow through three rounds of user interviews and prototype reviews, testing with both patients and clinicians. Each round helped refine how we framed discussion points, surfaced lab data, and handled consent. One unexpected insight was the desire for lighter, asynchronous follow-up—users didn’t always want to book a full consult. In response, I designed and tested a secure chat feature, allowing patients to ask quick questions post-visit and continue care without friction. This addition helped shift the experience from episodic to relational.
