Telehealth Application — Video Call Function

During pandemic times, one-to-one health interaction broke down. Patients — especially the 40–70 age group — couldn't get proper medication guidance or results remotely, feared wrong information, and got stuck trying to interact with a doctor during a live session.

The main journey: a patient with a health issue finds the right doctor, interacts one-to-one, gets an explanation, and receives a result. Top tasks are interacting with the doctor, understanding the explanation, and finding the right solution. The friction was the live-session interaction itself — so I simplified it until the interaction felt easy.

The project started with no problem statement at all — I had no idea what to do. The trigger was the pandemic: interaction between doctors and patients had broken down, and one-to-one health issues still needed solving remotely. Finding that problem — interaction in pandemic time — became the turning point.

• — Who was affected: the 40–70 age group
• — Why it mattered: interaction during the pandemic
• — Trigger: solving one-to-one health issues remotely
• — Status: in development

Designed for patients aged 40–70, used from home, across laptop, mobile, and tablet. The problem happens on the patient side — at the exact moment someone at home needs to reach a doctor and get a trustworthy answer about their health.

• — Target user: patients, 40–70 years
• — Environment: home
• — Devices: laptop, mobile, tablet
• — Domain: healthcare

The main journey: a patient with a health issue finds the right doctor, interacts one-to-one, gets an explanation, and receives a result. Top tasks are interacting with the doctor, understanding the explanation, and finding the right solution. The friction was the live-session interaction itself — so I simplified it until the interaction felt easy.

• — User flow: problem → find solution → particular patient use → get result
• — Top tasks: interact doctor & patient, explanation, finding the right health solution
• — Where users got stuck: doctor–patient interaction during live sessions
• — What I simplified: the interaction itself

Before the solution, users felt they weren't getting results or proper medication, and worried they might forget to ask something important. The trust issue was real: the app might give wrong information. The final UI had to create the feeling of a live, one-to-one call — so colour, copy, layout, and interaction all use healthcare terminology patients already understand.

The repeated behaviours were calling, booking, and following instructions. The existing workaround was ad-hoc interaction and one-to-one call booking; the habit loop was the booking system plus the doctor explaining medication. The design changes the interaction itself and adds new AI features — an AI-agent feedback loop that can answer patients even without a doctor present.

• — Repeated behaviour: calling, booking, instruction
• — Habit loop: booking system → doctor explains medication
• — Behaviour change: easier interaction + new AI features
• — Feedback loop: AI agent answers when no doctor is available

These are the qualitative results recorded so far. Numeric usability results, confidence scores, and the exact metrics around chat, booking, and one-to-one calling are still being validated, and are deliberately shown as-is rather than converted into invented figures.

1. 01 · Discovery

   Started with no problem statement; found the real problem in pandemic-time doctor–patient interaction for the 40–70 age group.

2. 02 · Problem framing

   One-to-one healthcare issues needed solving remotely, with trust and clarity for older patients at home.

3. 03 · Information architecture

   Structured the telehealth application around health-issue interaction: booking, live call, chat, records, and schedule.

4. 04 · Wireframes

   Explored clinician dashboards, waiting-room states, and side-panel layouts across laptop, mobile, and tablet.

5. 05 · Design system

   Built a healthcare-friendly system using terminology patients already know, with reusable cards for appointments, messages, and patient info.

6. 06 · Prototyping & testing

   Researched, prototyped, and ran usability testing with iteration — simplifying live-session interaction until it felt easy.

7. 07 · Handoff

   Project completed on the design side and currently in development.

These are the qualitative results recorded so far. Numeric usability results, confidence scores, and the exact metrics around chat, booking, and one-to-one calling are still being validated, and are deliberately shown as-is rather than converted into invented figures.

Numeric result: Metric to be validated.

Researched, prototyped, and ran usability testing with iteration — simplifying live-session interaction until it felt easy.

Future opportunityAdd AI integration: an AI agent that answers patient questions without a doctor, extend the patient-side mobile experience, and keep validating usability metrics as development progresses.