BioGrace

Making medication routines feel less overwhelming

BioGrace is a medication management concept created for the Michigan Ross Business+Tech Innovation Jam. It helps older adults, patients, and caregivers keep track of medications, schedules, reminders, and shared care responsibilities in one place.

As a product designer on a five-person team, I helped turn a broad healthcare challenge into a tangible product concept — mapping key flows, shaping the visual system, building reusable components, and helping create an interactive AI-powered prototype.

Medication management gets complicated fast

Taking one medication can be simple. Managing several — with different doses, schedules, refill dates, instructions, and people involved — is not.

For someone managing their own care, the challenge can be remembering what to take and when. For a caregiver, it can also mean keeping track of someone else's routine without taking away their independence.

We saw an opportunity to make that experience feel more organized, understandable, and reassuring.

How might one product help people know what to take, what matters today, and when someone else needs to be involved?

Designing around the moments that matter

Before thinking about screens, we mapped the moments BioGrace needed to support:

• Adding a medication manually or by scanning a prescription label.

• Knowing what to do today through schedules, reminders, and daily progress.

• Getting help when something is unclear through Gracie, the AI assistant.

• Keeping caregivers in the loop without making the experience feel dependent on them.

• Sharing medication information with family members or healthcare providers when needed.

Mapping these flows helped us turn a potentially complicated product into a smaller set of predictable actions.

The experience needed to answer a simple question quickly:

What do I need to know or do right now?

Making healthcare feel clear, not clinical

I wanted BioGrace to feel trustworthy without making it feel cold.

I developed the visual identity around soft color, readable typography, friendly iconography, and clear hierarchy — creating an experience intended to feel calm, approachable, and credible in a healthcare context.

I also helped build a reusable component system across medication cards, forms, reminders, progress states, priority tags, and navigation.

That consistency became especially important as we designed across both patient and caregiver experiences.

Bringing the concept to life with AI

Static screens could only take the idea so far.

Using Figma Make, we turned the flows and component system into an interactive prototype that made the product feel much closer to a working experience.

The prototype supported scanning a medication label, confirming prescription details, setting reminders, and tracking a medication routine.

We also prototyped Gracie, an AI assistant designed to let users ask medication-related questions in plain language.

Working this way pushed me beyond designing individual screens and toward thinking about how the product should respond, guide, and communicate across an interaction.

A product has to work beyond the prototype

Because BioGrace was built for an innovation competition, we weren't only thinking about interface design.

Our team also explored the competitive landscape, market opportunity, pricing, and technical feasibility — including how the product could support AI interactions, caregiver communication, and medication data over time.

That forced us to ask broader questions:

Would someone trust this?
What should AI be allowed to handle?
How might the product sustain itself?
What would have to be true for this to work outside a prototype?

For a healthcare product, those questions are just as important as the interface itself.

Where BioGrace goes next

BioGrace is an early-stage concept, and the next step would be getting it in front of the people it was designed for.

I would want to test with older adults, caregivers, and healthcare professionals to understand where the experience actually reduces confusion — and where our assumptions break down.

Future iterations would also need to go deeper on AI safety, privacy, accessibility, caregiver permissions, and how the product communicates uncertainty around medication information.

That became one of my biggest takeaways from the project: in healthcare, a polished AI interaction isn't enough. Trust has to be designed too.

What I took forward

BioGrace gave me the chance to work across product design, AI prototyping, business strategy, and technical feasibility within one fast-moving 0→1 concept.

It also changed how I think about designing AI for sensitive contexts. The goal isn't just to make a system feel smart — it's to make people understand what it knows, what it can do, and when they should look somewhere else for help.

Created in collaboration with Mia Goldstein, Agnes Mar, Yeajee Lee, Kavya Aggarwal, and Emanuel Alcantara.