Case 11 · DiabetesCare · 2024

Glucose data is meaningless if the right person doesn't see it in time. Build one app that speaks to patients, doctors, and family — without confusing any of them.

Role
UX/UI Designer
Scope
Multi-role mobile
Platform
iOS · Android
Outcome
3 roles, 1 system
Team
Solo concept

↓ Scroll — the work

§ 02University · LAKKA Technologies · RFID concept

Outcomes

3

User roles unified

patient · doctor · family

8

Core flows mapped

monitor → emergency → reports

0

Daily injections

RFID-driven measurement

01 — Overview

Diabetes Self Care was developed as a university project in collaboration with LAKKA Technologies Oy. The challenge was to design a mobile application that leverages emerging RFID technology to eliminate the need for daily needle injections while providing a holistic diabetes management platform.

The app connects three distinct user groups — patients, doctors, and family members — through a shared data ecosystem powered by automated cloud analysis.

"Increase awareness and improve the daily lives of diabetics by providing a user-friendly platform to manage their health."

Concept Summary

A wearable RFID chip continuously measures glucose levels and transmits data to the cloud. The app analyses health data automatically and delivers personalised diet, exercise, and medication recommendations — all without a single needle.

3
User Groups
RFID
No Needles

Interactive Prototype

Experience the App

User Role
Screens
Interactions
  • • Tap stat cards to navigate
  • • Switch user roles
  • • Toggle dark/light theme
  • • Send emergency alert
  • • All nav elements stay in sync
12:54 AM
📶🔋
Dashboard
Sensor Active · Right shoulder · Battery 87%
LIVE
118MG/DL
Normal
Updated 2 min ago · RFID Chip
Today's Trend
14070
💊
Medication Due in 30 min
Metformin 500mg · Take with food
💬
Message from Dr. Hassan
Your glucose trends look stable this week
Today's Goals
Water intake6/8
Exercise6240/8000
Carb limit180/250

02 — UX Goals

Designing for Wellbeing

Satisfaction

System provides necessary information ensuring all user groups feel satisfied with the experience.

Ease of Use

Health data analysed on the cloud; only essential information is presented to the user.

🔋
Minimised Effort

Chip continuously tracks glucose and syncs to cloud automatically — no manual input.

🩹
Improved Usability

Chip replaces needles entirely; easy to attach to skin with removable bandage glue.

📡
Accessibility & Communication — WCAG 2.1 AA

Data is communicated through multi-modal signals — never colour alone. High-contrast glucose readings, large touch targets for elderly and low-dexterity users, and screen-reader support for all critical alerts meet WCAG 2.1 AA compliance.

🚨
Emergency Treatment

Real-time alerts sent to patient, doctor, and family on critical glucose changes.

03 — Users

Three User Groups

🙋
Patient

Diabetic individual managing daily health, medication, diet, and glucose levels through the app and wearable sensor.

👩‍⚕️
Doctor

Endocrinologist or GP monitoring patient data remotely and sending personalised recommendations.

👨‍👩‍👧
Family

Support network receiving emergency alerts and tracking patient wellbeing in real time.

Research Methods
User InterviewingPersona CreationUser Task AnalysisUX Problem & Goal IdentificationSolution ValidationUsability Testing

04 — Proof of Concept

RFID Technology

The proof of concept centres on LAKKA Technologies' RFID-based glucose monitoring chip. This small wearable sensor attaches to the patient's shoulder using removable bandage glue and continuously measures glucose levels through electrochemical analysis — completely eliminating the need for traditional finger-prick testing.

Needle-free glucose level measurement
Information sharing among patient, doctor, and family
Automated data analysis and sharing on a cloud server
Customised diet and exercise suggestions based on health conditions
Personalised reports based on health data

05 — MVP

Minimum Viable Product

Device Configuration

A wearable chip attached to the shoulder using removable bandage glue. The sensor auto-connects to the app via Bluetooth and continuously monitors glucose levels, transmitting data to the cloud through the mobile network. The chip lasts 14 days before replacement.

System Functionality
  • Health status tracking
  • Diet & exercise planning
  • Check-up reminders
  • Patient–doctor–family communication
  • Medication & appointment reminders
  • Personalised suggestions
  • Emergency feedback

06 — Problem Context

Real-World Scenario

The project focuses on supporting diabetes patients during sudden health fluctuations. In everyday situations, such as social gatherings, patients may experience symptoms like dizziness due to fluctuating glucose levels.

The proposed system provides real-time assistance through mobile notifications, emergency guidance, and alerts to caregivers — ensuring patients receive immediate support when they need it most.

Storyboard showing a diabetes patient experiencing a health emergency and receiving app-based support

Storyboard — Emergency scenario flow

07 — Stakeholders

Stakeholder Analysis

To understand the ecosystem around the healthcare solution, stakeholders were mapped based on their power and interest in the system using a Power/Interest Grid.

Power/Interest Grid mapping stakeholders such as patients, doctors, caregivers, and government

Power/Interest Grid for Stakeholder Prioritisation

Manage Closely
Patients, Owner / Policy & Decision Makers

High power, high interest — core users and decision-makers shaping the product.

Keep Satisfied
Manufacturers, Government, Developers / Engineers

High power, low interest — ensure their needs are met to maintain support.

Keep Informed
Healthcare Institutes, Shareholders, Competitors, Suppliers

Low power, high interest — regular updates to maintain engagement.

Monitor
Sponsors, Caregivers / Friends & Family

Low power, low interest — monitor with minimum effort.

08 — Ideation

Concept Development

Early design ideas were explored through low-fidelity sketches to quickly test different layouts and feature structures. These sketches focused on core functionalities such as glucose monitoring, medication reminders, diet and exercise tracking, and emergency contact access.

Low-fidelity wireframe sketches showing app screens for login, glucose graph, health data, medication, diet, and contacts

Early wireframe sketches — brainstorming core app structure

09 — Design Process

From Research to Prototype

01
User Research
Interviews, personas, and task analysis to understand diabetic user needs.
02
Storyboarding & Wireframes
Mapped user journeys and created low-fidelity wireframes.
03
Low-Fidelity Prototype
Built clickable prototypes in Balsamiq for early validation.
04
Usability Testing & Pilots
Semi-structured interviews and storyboard-based validation.
05
High-Fidelity Prototype
Polished visual design and interactive prototype in Adobe XD.
Tools Used
Balsamiq MockupsAdobe Photoshop CCAdobe XD

08 — Idea Validation

Testing with Real Users

Semi-structured interviews were conducted using storyboard-based validation. Three participants from different backgrounds evaluated the concept and provided feedback on its feasibility and user experience.

🇮🇪
Irish male
7/10

Appreciated the needle-free approach and automated data sharing with doctors.

🇫🇮
Finnish male
8/10

Valued the emergency alert system and family notification feature.

🇧🇩
Bangladeshi female
9/10

Highlighted the importance of personalised diet suggestions and easy-to-use interface.

Key Goals Achieved
Feeling SatisfiedMinimising User InputsEnhanced Usability & AccessibilityImproved CommunicationEmergency Treatment

09 — Reflection

Design Decisions

01

RFID chip eliminates daily needle injections — the single most validated design decision.

02

Three distinct user roles in one app required careful information architecture for each view.

03

Cloud automation reduces manual input to near-zero — the key to minimising user effort.

04

Colour language: teal = normal, amber = raised, orange = high, red = low — consistent across all screens.

05

Emergency system notifies all three user groups simultaneously, reducing response time.

06

Personalised meal and exercise suggestions are generated from analysed glucose data, not manual entry.

Dark Mode

Dark mode screens designed for the Diabetes Self Care app — featuring continuous glucose tracking, personalised health plans, and emergency response.

Light Mode

Light mode screens with a clean, clinical aesthetic — optimised for readability and daytime use.

© 2026 Mohammad Remans. All rights reserved.