๐Ÿฉบ Healthcare ยท Mobile

MHealth Trizetto

Turning sick care into proactive care โ€” a patient app and practitioner app built around one question: how do you get a CGM-synced diabetic patient, their doctor, and a front desk to see the same risk at the same time?

Role
Lead Interaction Designer
Methods
Interviews, surveys, focus groups
Surface
Patient + Practitioner apps
Team
2 leads, 2 designers
The stakes

A diabetic patient's risk shouldn't live in three different places

CGM-synced apps already existed. They synced with a device and pushed a glucose-trend notification. What none of them did was connect that reading to an actual care loop โ€” the doctor, the hospital front desk, and a nearby family member seeing the same high-risk signal at the same time, with a path to act on it. The biggest challenge wasn't data collection. It was getting a critical alert from a patient's body to a doctor's appointment dashboard before it became an emergency.

A glucose spike that only the patient sees isn't a health signal. It's a missed appointment waiting to happen.
The problem

Sick care, not health care

  • Appointment booking based on disease and specialty was slow, confusing, or simply unavailable when it mattered.
  • Health monitoring was fragmented across disconnected devices and paper โ€” no single view of a patient's actual status.
  • Generic health tips and generic risk thresholds ignored the individual โ€” personalization was close to zero.
  • Doctors had no reliable, real-time way to know which of their patients needed attention right now versus at the next scheduled visit.

I hypothesized that the opportunity wasn't a better CGM-sync notification โ€” it was a human-centered design process layered on top of the device data that already existed, connecting patient, doctor, and family into one loop.

What I owned

My role as lead interaction designer

I executed all facets of interaction design โ€” information architecture, task flows, interaction and visual design, product decisions, and prototyping โ€” across both the patient-facing and practitioner-facing apps. Research wasn't handed to me as a brief; I ran it.

  • Conducted interviews, surveys, and focus groups to surface both user behavior and attitude, not just stated preference.
  • Supported qualitative findings with Google Analytics data analysis.
  • Narrowed scope to two primary user groups: adults with Type 1/Type 2 diabetes, and parents caring for a child with Type 1.
  • Designed the high-risk alert path connecting patient, doctor, hospital front desk, and family member.
The approach

Lean research, real stakeholders in the room

The process followed a lean UX methodology โ€” research, prototyping, mockups, usability testing, and documentation, kept tight enough to stay cost-effective without cutting the rigor that mattered. To get internal support and keep the design grounded in operational reality, I assembled stakeholders from Interactive Health spanning IT, health services, software development, and marketing, alongside two project leads and two designers from our own team.

The multidisciplinary group wasn't ceremonial โ€” it meant a compliance concern or a clinical workflow constraint surfaced in week two of research, not after the first prototype was already built around an assumption that wouldn't survive contact with a real hospital front desk.

The outcome

Two apps, one connected loop

The result was two purpose-built apps functioning as one system: a Patient app for monitoring, booking, and wellness engagement, and a Practitioner app giving doctors a prioritized, risk-aware view of their patient list instead of a flat appointment calendar.

  • Patients track blood pressure, glucose, and wellness metrics from third-party devices in one place.
  • High-risk readings automatically alert the doctor, hospital front desk, and a nearby family member โ€” not just the patient.
  • Practitioners get a high-risk individual notification queue instead of discovering risk during a routine visit.
  • A gamified Kinitics Wellness integration ties healthy behavior to redeemable points, including medication refills.
What I took from it

Personalization is a retention feature, not a nice-to-have

The clearest research signal across both interviews and secondary research was the same complaint in different words: generic advice gets ignored. A cat owner ignores dog-wellness tips; a patient managing osteoarthritis ignores a generic "walk more" push. The lesson that shaped every downstream decision was that relevance beats reach โ€” a smaller set of recommendations tied to a person's actual profile outperformed a larger set of generic ones, every time we tested it.

Executive Summary

The short version

Challenge

Risk lived in silos

A patient's glucose spike, a doctor's calendar, and a family member's awareness never connected โ€” sick care instead of proactive care.

Solution

One connected loop

A Patient app and Practitioner app sharing real-time risk data, so a high-risk reading reaches the doctor, front desk, and family automatically.

Outcome

Proactive, not reactive

Personalized monitoring, streamlined booking, and a gamified wellness loop replacing generic advice and disconnected tools.

Two purpose-built apps, one shared goal: give patients and practitioners the same real-time picture of risk, instead of discovering it after the fact.

Project Overview

What the two apps actually do

Patient app

Monitor, book, stay informed

Blood pressure and glucose monitoring, appointment management, health alerts for status/appointments/refills, wellness programs, and health manager tips.

Practitioner app

Prioritize, don't just schedule

All-appointments listing, high-risk individual notifications, prescription and case history, patient visit detail, and new prescription issuance.

Both apps share one goal: move the relationship from reactive sick care โ€” see a doctor after something's wrong โ€” to proactive, preventive health management where risk is visible before it becomes urgent.

Market Opportunity

Why this was worth building

$639.4B

Projected global digital health market value by 2026 โ€” the growth case for investing in remote monitoring.

40% fewer readmissions

Engaged patients show measurably fewer hospital readmissions, saving an estimated $5,000 per patient per year.

$3.7T

Estimated healthcare spending preventive care could save over a decade through earlier detection and intervention.

Gamification lift

Leaderboards, badges, and points correlate with a 35% increase in engagement and a 30% increase in behavior change.

Monetization path

The Kinitics Wellness integration supports both paid and free subscription tiers alongside the core app.

Project Challenges

What made this hard

Technical

Real-time, cross-device reliability

Data security, real-time monitoring, and consistent behavior across devices and platforms โ€” none of which are optional in healthcare.

Compliance

HIPAA, not as an afterthought

Sensitive patient data requires privacy safeguards built into the design from the first flow, not bolted on before launch.

Integration

EHRs and insurance data don't line up

Connecting to existing health records and insurance databases for accurate, current information was a genuine interoperability problem, not a UI problem.

Research Plan

Primary and secondary research

Objective

Narrow a broad hypothesis โ€” that human-centered design could improve on existing CGM-synced apps โ€” into a specific, buildable interaction model. The research had to answer two separate questions: what do patients actually need day to day, and what does a doctor need to see to act on a risk signal before it becomes an emergency.

Scope
Primary group

Adults with Type 1 or Type 2 diabetes

Direct daily experience managing glucose, medication, and appointments.

Secondary group

Parents caring for a child with Type 1

Different stakes and workflow โ€” caregiving on someone else's behalf, often across school and home.

Methodology
Format

In-person interviews + observation

Contextual, not lab-based โ€” watching how people actually interacted with a CGM device or existing app in their own routine, not a scripted task.

Secondary research

Literature, forums, experts

Studies and books on diabetes technology, real user comments on forums and blogs, and conversations with medical professionals, authors, and researchers.

Analysis support

Google Analytics

Quantitative usage data cross-checked against qualitative interview findings to see whether stated behavior matched actual behavior.

Interview guide โ€” 10 core questions
Q1How do you currently manage and track your health parameters, such as blood pressure and glucose levels?
Purpose: surface the existing (often manual) baseline before proposing anything new.
Q2What challenges do you face in booking appointments with doctors based on specific diseases and specialties?
Purpose: locate the actual friction point in booking, not an assumed one.
Q3What features or functionalities would you find valuable in a health monitoring app?
Purpose: open-ended check against our own feature assumptions.
Q4How would you prefer to receive high-risk alerts regarding your health condition?
Purpose: directly informed the multi-recipient alert design (doctor, front desk, family).
Q5Are you open to using third-party devices to collect real-time health data, such as blood pressure or glucose monitors?
Purpose: test the trust assumption underlying the whole device-integration feature.
Q6What are your preferences and expectations when it comes to tracking medication refills and receiving reminders?
Purpose: calibrate reminder frequency and tone before building notification logic.
Q7How do you envision the integration of a wellness program within a health monitoring app? What would motivate you to participate?
Purpose: sourced the direct motivation logic behind the Kinitics gamification design.
Q8How comfortable are you with gamified elements, such as leaderboards and points, to encourage engagement?
Purpose: checked for a resistance segment before committing design time to gamification.
Q9What concerns or barriers do you have regarding the security and privacy of your health data within a mobile app?
Purpose: surfaced the trust threshold that shaped every data-sharing disclosure in the UI.
Q10Are there any specific functionalities or features you would like to see in the app to enhance your overall healthcare experience?
Purpose: open catch-all โ€” this is where two of the eventual features first came up unprompted.
Recruitment & screening
Screen for

Active condition management

Currently managing Type 1/Type 2 diabetes personally, or actively caring for a child who is โ€” not a lapsed or newly diagnosed case.

Spread targeted

Mixed device familiarity

Both existing CGM/app users and people managing manually on paper, to avoid over-indexing on tech-comfortable participants.

Exclude

Industry insiders

Healthcare or health-tech employees, to keep feedback grounded in lived patient experience rather than professional opinion.

Research process
Research process flowSecondary research feeds primary interviews, which feed synthesis, which produces personas and insights. Secondary researchLiterature, forums, experts RecruitmentScreen + schedule Primary interviews10-question guide+ observation SynthesisPersonas + insights Wk 1: Recruit & screen Wk 2-3: Interviews + secondary research Wk 4: Synthesis Parallel tracks โ€” secondary research ran alongside recruitment, not before it.
Research Insights

Six themes from affinity mapping

The core problem underneath every interview transcript was the same: users weren't struggling with any single task โ€” they were struggling with fragmentation. Monitoring, understanding, finding a doctor, booking, and tracking progress each lived in a different app, device, or phone call. Affinity mapping the raw research surfaced six recurring themes, each pointing at a specific UX opportunity.

Theme 1 ยท Access

Healthcare Accessibility

Finding the right doctor by disease is confusing; booking takes too many steps; trust in doctor selection is low. โ†’ Intelligent doctor discovery.

Theme 2 ยท Monitoring

Fragmented Health Monitoring

Smartwatch, BP machine, glucose meter, sleep app, hospital reports โ€” all separate. Trends become impossible to see. โ†’ Unified health dashboard.

Theme 3 ยท Relevance

Personalization

"Drink more water" gets ignored. "Your BP rose 12% in two weeks โ€” reduce sodium, walk 20 more minutes" gets acted on. โ†’ AI-driven personalized insight.

Theme 4 ยท Prevention

Preventive Healthcare

Users don't want care only after illness โ€” they want early detection and risk prediction before symptoms escalate. โ†’ Predictive health alerts.

Theme 5 ยท Guidance

Decision Support

Users collect data but don't know what to do with it โ€” the largest experience gap in the entire journey. โ†’ Explainable health intelligence.

Theme 6 ยท Retention

Motivation

Engagement drops off after a few weeks without progress tracking, goals, streaks, or community support. โ†’ Goals, rewards, and community.

Theme 2 in detail โ€” where fragmentation is worst
Fragmented sources consolidating into one timelineEight disconnected sources converging into a unified health timeline. Heart RateBlood PressureSleepSugar WeightActivityMedicationLab Reports One Timeline 8 disconnectedsources today
Behavioral insights โ€” current vs. desired
Current behavior

Check metrics reactively, search symptoms after the fact, compare readings manually, ask family members, and book a doctor only once symptoms worsen.

Desired behavior

Monitor daily, understand trends as they form, receive proactive alerts, take preventive action, and consult a doctor earlier โ€” before a crisis.

Jobs to be done
Functional

Monitor health in one place. Find the right doctor quickly. Book easily. Track medical history. Understand reports.

Emotional

Feel reassured about my health. Reduce anxiety. Gain confidence in decisions. Feel in control.

Social

Share progress with family. Demonstrate healthy habits. Participate in wellness challenges.

Users don't lack data. They lack a next step. Converting a number into a decision was the largest experience gap we found.
Opportunity Areas

From themes to six buildable concepts

01

Smart Health Dashboard

One Health Score with drill-down analytics, replacing dozens of disconnected metric cards.

02

AI Health Coach

Daily recommendations, habit coaching, medication reminders, and lifestyle suggestions.

03

Intelligent Doctor Finder

Filter by disease, specialty, rating, insurance, distance, and consultation mode.

04

Preventive Risk Detection

Predicts diabetes, hypertension, obesity, and heart disease risk before symptoms become severe.

05

Personalized Health Journey

Adaptive home screen based on current conditions, active goals, medication schedule, and risk level.

06

Family Health Management

Manage parents, children, and spouse from a single dashboard โ€” not four separate logins.

User needs hierarchy
User needs hierarchy from tracking to recoverySeven-step chain from track health to track recovery. TrackUnderstandPredictFind DoctorBookTreatRecover
UX Principles & Vision

Seven principles, one product vision

Action over information

Every metric guides the user toward a meaningful next step โ€” not just a display of data.

One health timeline

Readings, medications, reports, appointments, and activities in a single chronological view.

Personalized by default

Recommendations tailored to each user's profile, history, and goals โ€” never generic advice.

Reduce cognitive load

Visual trends, plain language, and color-coded indicators simplify complex medical information.

Trust and transparency

Explain how recommendations are generated, surface credible sources, and protect user privacy.

Support preventive care

Prioritize early warnings and habit formation over reactive care after symptoms appear.

Motivate continuous engagement

Reinforce healthy behaviors through goals, progress tracking, reminders, and community encouragement.

A unified, AI-powered health companion that continuously connects monitoring, interpretation, prevention, and healthcare access โ€” so users move seamlessly from understanding their health to taking timely, informed action.
User Persona

Margaret Thompson, 65

Background

Retired, active, managing chronic conditions

High blood pressure and osteoarthritis. Independent, health-conscious, motivated to stay that way โ€” but not a confident technology user.

Goals

Monitor, manage, stay independent

Track blood pressure and vitals, follow prescribed treatment for chronic conditions, and preserve an active daily life.

Challenges

Technology isn't the comfortable part

Needs intuitive interfaces, clear visualizations she can interpret without help, and reminders that keep her motivated without nagging.

Behaviors

Diligent, but manual

Records blood pressure readings in a paper diary today. Visits her provider regularly and leans on family for support and encouragement.

Empathy Map

What Margaret says, does, and feels

Says

"I find it difficult to book appointments with doctors." "I feel overwhelmed managing my health parameters." "I struggle to remember to take my medications on time."

Does

Downloads the app, searches doctors by specialty, reads reviews, books appointments, tracks parameters manually or via connected device, sets medication reminders.

Feels

Frustrated by booking complexity, anxious about her conditions, but hopeful and empowered when the app gives her a personalized, actionable path forward.

Sees

The booking flow and doctor profiles, reminders and notifications, visual health trend data, and ratings from other patients about providers.

User Stories

Three stories that drove the flows

Story 01

Health monitoring

"As Margaret, I want to track blood pressure and heart rate easily and view them clearly, so I can share trends with my doctor during appointments."

Story 02

Appointment scheduling

"As Margaret, I want to see available doctors by specialty, rating, and location, pick a slot, and get reminders โ€” without phone calls."

Story 03

Personalized exercise

"As Margaret, I want low-impact exercise recommendations suited to my age and conditions, with clear demonstration videos."

User Flow & Task Flow

From registration to reminder

The core user flow ran registration โ†’ home screen โ†’ appointment booking โ†’ health parameter tracking โ†’ personalized recommendations โ†’ wellness programs โ†’ account settings. Four task flows carried the weight of daily use:

Booking a doctor's appointment

Search by specialty โ†’ review ratings and time slots โ†’ confirm โ†’ receive notification โ†’ appointment appears in the Appointments section.

Tracking health parameters

Select parameter โ†’ enter manually or via connected device โ†’ view trend visualization โ†’ set recurring tracking reminders.

Accessing recommendations

App analyzes health data โ†’ surfaces medication, lifestyle, and wellness-program suggestions tailored to the user's specific conditions.

Managing account settings

Update personal info โ†’ manage notification preferences โ†’ connect/disconnect third-party devices โ†’ review appointment and wellness history.

Patient Experience Map

Six phases, from search to sustained engagement

Phase 1

Booking

Searching, downloading, registering โ€” hopeful and relieved to find a convenient path.

Phase 2

Check-in

Searching by specialty, reviewing profiles, confirming a slot โ€” feeling organized and prepared.

Phase 3

Pre-encounter

Reminders and prep instructions arrive โ€” anticipation mixed with nervousness.

Phase 4

MD encounter

Check-in, wait, examination, conversation โ€” a mix of relief, trust, and vulnerability.

Phase 5

Post-encounter

Consultation summary and prescription land in-app โ€” clarity, relief, motivation to follow through.

Phase 6

Between visits

Continued tracking and personalized recommendations โ€” a renewed sense of ownership over health.

Wireframes & Prototype

From sketch to prototype

Design solutions started as sketches โ€” the fastest way to explore content placement and navigation options before committing to a direction. Sketching kept the focus on content hierarchy: making sure the information a stressed, possibly first-time user needed most was never buried. Each concept was tested against the pain points surfaced in research before moving to wireframes and, eventually, a working prototype used in stakeholder review and usability testing.

Results & Takeaways

What this meant for the business

Improved user experience

A more intuitive, user-friendly interface driving higher satisfaction, engagement, and retention.

Streamlined processes

Appointment booking, parameter tracking, and medication management consolidated into one workflow, cutting administrative overhead.

Enhanced communication

Secure messaging, reminders, and shared treatment plans improved patient-provider continuity of care.

Data-driven insight

Aggregated health, appointment, and medication data informed strategic decisions and targeted health programs.

Competitive advantage

Personalized recommendations and convenient access differentiated the platform from generic competitors.

Revenue potential

Premium subscriptions and wellness-program partnerships opened new monetization paths beyond the core app.

UX KPIs

How we'd know it's working

Building health tech where a missed alert isn't an option?

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