TrialKakiPrototype — synthetic data

Southeast Asia · autoimmune conditions

Nobody should have to understand a clinical trial alone.

TrialKaki is a companion for the years before a hospital visit: learning in your own language, a trusted navigator from your own neighbourhood, and a conversation you can walk away from at any point.

The problem

Why people are left out

Most trial information

arrives in English, written for clinicians, at the exact moment a person feels least able to read it.

The first conversation

usually happens in a hospital, with a stranger, on the day a decision is expected.

The people who ask the best questions

are family members — and they are rarely in the room.

The idea

What TrialKaki does

Learn first, decide later

Short explainers in plain language, read aloud in the person's own language, with nothing to sign at the end.

A neighbour who knows the way

Trained community navigators run awareness sessions, help with questions and stay in touch after a referral.

A pre-screen that is only a conversation starter

A few plain questions suggest whether talking to a study team may be worthwhile. Only the study team decides who can take part.

Consent that can be taken back

Separate, plain-language choices for the programme, for sharing with one study team, for future contact and for insights — each one withdrawable at any time.

Support that continues

Visit preparation, transport help, interpreter requests and reimbursement tracking, so taking part stays possible.

Insights without exposure

Sponsors see aggregate patterns only, with small counts suppressed. No person, navigator or centre is identifiable.

Walk through it

Five people, five screens

Guardrails

Promises built into the product

  • No national identity number is ever collected.
  • Only the study team decides who can join a study — never TrialKaki.
  • Rewards are for learning and community participation only, never for joining, staying in or completing a study.
  • Nothing a person tells us reaches a study team without their separate, specific agreement.
  • Sponsors see aggregate numbers only, and any group smaller than five is hidden.
  • Every change is written to an audit trail.

Reach

Languages and places

English简体中文Melayu · partial in this prototypeதமிழ் · partial in this prototypeBahasa Indonesia · partial in this prototypeFilipino · partial in this prototype
SingaporeMalaysiaPhilippinesIndonesia

For J&J QFC

The case, the evidence and the experience

TrialKaki is a working prototype of a community-led path into clinical-trial conversations. This view separates what you can test today from what a real-world pilot must still prove.

The guided tour opens after invited sign-in.

01

Challenge fit

Addresses the language, trust and practical barriers that can exclude people before a clinical-trial conversation begins.

02

Community-centred innovation

Pairs accessible digital guidance with a trained navigator from a familiar community setting.

03

Potential impact

Aims to help more people understand their choices and stay supported through referral and study visits.

04

Practical feasibility

Connects member, navigator, study-team, sponsor and programme workflows in one testable service model.

05

Responsible design

Builds in separate consent choices, study-team-only decisions, aggregate reporting and an audit trail.

Evidence scorecard

Demonstrated
  • Multilingual learning with illustrations and read-aloud
  • Separate consent choices and structured referrals
  • Aggregate sponsor views with groups under five hidden
  • Content approval states and an auditable demo history
Proposed
  • Community-hub delivery with trained navigators
  • Links to participating study teams and support services
  • A shared operating model across Southeast Asian markets
Pilot validation required
  • Whether people understand and trust the service
  • Effects on referral quality and visit preparedness
  • Operational effort, adoption and sustainable scale

A seven-scene evaluation path

  1. 1Community navigator
  2. 2Learning in a familiar language
  3. 3Nearby study exploration
  4. 4Sharing by choice
  5. 5Study-team referral review
  6. 6Privacy-protected sponsor insights
  7. 7Programme governance