UX Case Study · Digital Health · 2026

Guiding patients safely through recovery,

from hospital bed to fully healed.

HealPath is a post-discharge care platform. It links recovering patients, their family caregivers, and their care team through AI-guided daily check-ins, so warning signs get caught early and fewer people end up back in hospital.

My Role

Lead Product Designer

UX · UI · Research

Timeline

12 weeks

Concept → Pilot

Team

1 Designer · 2 Engineers

1 Clinical advisor

Platforms

iOS · Android

Web dashboards

Tools

Figma · Maze

FigJam · Notion

01

Overview

The 30 days after discharge are the most dangerous.

When a patient leaves the hospital after surgery or a cardiac event, the most fragile part of their recovery is only just beginning, at home and largely unsupervised.

Care plans get handed over as paper printouts. Medication schedules turn confusing. The subtle warning signs, like a rising heart rate, a missed dose, or new chest tightness, slip by unnoticed until they turn into an emergency. Families want to help but have no idea what "normal" is supposed to look like, and the care team has no visibility at all between discharge and a follow-up appointment that might be weeks away.

HealPath set out to close that gap with a single connected system: a calm daily companion for the patient, a window of reassurance for the caregiver, and an early-warning radar for the care team.

02

What we were up against

Six challenges surfaced again and again.

Patients can't tell normal from dangerous

Discharge instructions are dense and clinical. Patients don't know which symptoms warrant a call and which are just part of healing.

Medication routines fall apart at home

Multiple new prescriptions, confusing timing, and no reminders mean missed and doubled doses in the first critical weeks.

Caregivers are anxious and in the dark

Adult children are often the primary caregivers. They want daily reassurance but have no real-time view of how their parent is actually doing.

Clinicians fly blind between visits

Doctors get no signal during the highest-risk window and only learn about deterioration when the patient is readmitted.

Existing apps don't fit recovery

Fitness trackers and generic hospital portals aren't built for the specific, time-boxed reality of post-discharge care.

Low digital confidence in older patients

Many patients are 55+ and intimidated by complex apps. Anything we built had to be effortless and forgiving.

03

User Research

Three people, one recovery, each needing something different.

Synthesized from 12 interviews with recently-discharged patients, family caregivers, and clinicians. Three primary personas anchored every design decision.

SP

Dr. Sneha, 41

Doctor · Cardiologist

"By the time I see them at follow-up, the damage is often already done."

Goals

Frustrations

Catch deterioration before readmission

Spend her limited time on the right patients

Trust the data she's acting on

No visibility between discharge and follow-up

Drowning in low-signal alerts elsewhere

Minutes, not hours, per patient

MH

Meena, 32

Caregiver · Daughter

"I check on Dad five times a day and still lie awake worrying."

Goals

Frustrations

Peace of mind that Dad is stable

Know the moment something needs attention

Coordinate with her brother and the doctor

Lives 40 minutes away

Can't interpret vitals on her own

Doesn't want to nag, but feels blind

RK

Ramesh, 58

Patient · Post-cardiac

"I just want to know if what I'm feeling is normal, or if I should be worried."

Goals

Frustrations

Heal and get back to his routine

Not feel like a burden to his children

Take the right meds at the right time

Forgets the evening dose

Anxious about every twinge of chest tightness

The discharge booklet is dense and clinical

1 in 5

cardiac patients are readmitted within 30 days of discharge, many of them preventably.

9 / 12

patients interviewed couldn't confidently name their personal "danger signs."

68%

of caregivers wanted a daily status update they could actually trust.

<3 min

average time a clinician can spend reviewing a patient between visits.

04

Competitor Analysis

Plenty of health apps. None built for the recovery window.

I mapped HealPath against the four alternatives patients actually fall back on. The gap was clear: nothing connected all three people around the post-discharge moment.

Capability

Hospital portal

Fitness / wearable app

Telehealth app

Phone follow-up

Built for post-discharge recovery

~

~

AI symptom triage & daily check-in

~

Caregiver / family access

~

~

Live wearable vitals

Doctor early-warning dashboard

~

One-tap emergency (SOS)

~

Designed for low digital literacy

~

Full support

~

Partial

None

HealPath

05

The Process

A focused, double-diamond sprint.

01

Discover

12 interviews, a literature scan on readmissions, and shadowing a discharge nurse.

02

Define

Personas, journey maps, and the core "act before emergency" problem statement.

03

Ideate

Crazy-8s, IA exploration, and paper wireframes for all three user types.

04

Design

High-fidelity flows, a shared design system, and connected prototypes.

05

Validate

Usability tests with 6 users + an 8-week simulated care pilot.

06

Paper Wireframes

Sketching the patient journey before pixels.

Low-fi sketches let me test the daily check-in idea fast, and kill the cluttered first attempts before they cost anything.

Patient app, first pass

Tested with 3 patients. The one-question-per-screen check-in beat the long form every single time.

7-day trend chart

Vitals

red SOS lives here + on every screen

08

User & Task Flows

How each person moves through their day.

The same risk signal drives three connected flows. The patient logs it, the caregiver gets looped in, and the doctor decides what happens next. Switch between them:

Patient · daily check-in

Patient · daily check-in

Patient · daily check-in

Caregiver · oversight

Doctor · triage

09

The Solution

A calm companion, a window of reassurance, an early-warning radar.

Patient · 01

A daily check-in that actually gets done

The home screen leads with one warm, oversized action: today's check-in. Asking one question at a time (mood, then pain, then symptoms) keeps it effortless for a 58-year-old recovering at home, and it feeds the AI that decides whether to reassure or escalate.

Patient · 02

Medication & vitals, made effortless

Big, forgiving tap targets turn medication tracking into a single tick. Wearable vitals stream in on their own and get translated into plain language like "slightly high" or "above target," with a red SOS never more than a tap away.

Caregiver · 03

Caregivers, finally in the loop

Meena opens the app and instantly knows where things stand: a risk score, the latest vitals, and exactly what needs her attention today. Urgent alerts always come with a clear next step, whether that's checking on her dad or calling the doctor, so worry turns into something she can actually act on.

Doctor dashboard · 04

An early-warning radar for the doctor

Dr. Sneha's dashboard ranks her caseload by risk and surfaces AI-flagged deterioration the moment it shows up. It turns "I'll find out at the follow-up" into "I can act today," with discharge plans, messaging and follow-ups all one click away.

app.healpath.care/doctor

Admin dashboard · 05

The whole hospital, at a glance

Hospital admins get the bird's-eye view: readmission trends, medication adherence across the cohort, department-level risk, and a live ROI calculator. This is the layer that proves the programme is working and shows leadership exactly where to focus next.

app.healpath.care/admin

10

Reflection

What I'd carry forward.

What worked

Designing every surface around a single shared signal kept the product coherent across all four roles. The one-question check-in turned out to be the real unlock, because simplicity is what drove adherence.

What I'd change

I over-built the doctor dashboard early on. The real impact came from the alert ranking, not the breadth of analytics, so next time I'd cut straight to that core sooner.

What's next

Pharmacy and EHR integration, multilingual check-ins for wider access, and a real-world clinical pilot to validate the readmission numbers.

app.healpath.care/doctor

The Problem

How might we help recovering patients follow their care plan at home, while giving caregivers and doctors enough visibility to

act before a small issue becomes an emergency?

v0 · pen & paper

recovery progress

Home

big "start check-in" CTA up top ✓

pain scale 0–10

Check-in

mood → pain → symptoms, one Q per screen

Meds

tick = taken. keep it huge & tappable

07

Information Architecture

One platform, four tailored surfaces.

Each role sees only what's relevant to them, and they all draw from the same shared record of the patient's recovery.

HealPath Platform

Thanks for reading.

HealPath · UX Case Study · Patient · Caregiver · Doctor · Admin

Patient App

Home & recovery progress

Daily AI check-in

AI chat & triage

Profile · SOS · Contacts

iOS · Android

Medications

Vitals & trends

Caregiver App

Patient overview & risk

Care tasks

Messages with care team

iOS · Android

Patient vitals

Care circle & access

Doctor Dashboard

Patient roster

AI risk alerts

Discharge plans

Web

Vitals feed

Follow-ups & reports

Admin Dashboard

Hospital overview & KPIs

Readmission analytics

ROI calculator

Web

Patients & doctor roster

Compliance & reports

Recovery progress front and centre: "Day 4 of 42"

AI triage routes risk to the care team automatically

Glanceable vitals, adherence and task cards

One-tap "mark as taken" with smart reminders

Live heart rate, BP and SpO₂ from the wearable

7-day trends that flag what's drifting

At-a-glance risk score and live vitals

Assigned care tasks with gentle reminders

One tap to the doctor or emergency services

Outcomes

The right people, informed at the right moment.

Directional results from an 8-week simulated pilot with 12 participants and 6 moderated usability sessions. They're indicative of impact, not clinical claims.

32

%

projected drop in 30-day readmissions vs. baseline

91

%

medication adherence, up from a 64% baseline

4.7

/5

patient satisfaction. "I always knew where I stood"

2

×

faster clinical response to early deterioration