CAMLAP is the Flutter platform Donnish designed and built for the NSW Service for the Treatment and Rehabilitation of Torture and Trauma Survivors. It lets clinicians run trauma-informed clinical assessments in a survivor's first language, with native script and audio. Now expanding from NSW to national, with global in sight.
STARTTS is the NSW Service for the Treatment and Rehabilitation of Torture and Trauma Survivors. They deliver trauma recovery services to refugees from torture and persecution. Their clinicians needed to conduct sensitive clinical assessments across massive language and literacy barriers.
STARTTS were decommissioning a first iteration of their assessment platform due to technology end-of-life and a lack of customisation. They approached Donnish to assist in the creation of a new tool that could not only improve the existing process of facilitating clinical programs to assist victims of trauma, but could be utilised by wider national and global organisations.
The goal: build on the critical work STARTTS have pioneered to give it wider reach, potentially to all parts of the globe. Existing off-the-shelf tools could not handle trauma-informed care for clients who may not read, write, or speak English. The ability to customise clinical questionnaires to offer native script and audio simply did not exist.
A clinical questionnaire builder and presenter for trauma-survivor assessment: two Flutter web apps on Firebase Hosting, a Firebase and Google Cloud backend, Azure Blob for questionnaire bundles and audio, and Stripe for subscriptions.
Two Flutter web apps plus a shared Dart library.
Served and signed-in through Firebase.
Firebase Cloud Functions · Node.js.
Firebase and Google Cloud for data and logic; Azure for files.
Google Cloud · Firebase
AzureThe client never ships the Azure connection string: a Cloud Function reads it from Secret Manager and uploads or streams the questionnaire and audio via the Azure SDK, with no direct SAS. A scheduled function purges expired interview links and results hourly, and SendGrid emails a reminder before results expire.
Flutter on Firebase, Google Cloud and Azure
CAMLAP was created through a Design and Build process using a dual-track agile (Scrum) approach. This was a co-delivery team: STARTTS roles formed part of the delivery team. STARTTS are responsible for product ownership; we are responsible for design, delivery and support.
The team scales up and down as required against the product roadmap, supplemented with a support and maintenance agreement. Delivery is from a hybrid Australia and Philippines team.
What makes the engagement work: clear, transparent communication and agreed processes. All work is visible on the Jira Kanban board, signed off by the client there. That includes future planning and tracking of maintenance items.
How it's built today: engineering, refactoring and tests run through Claude Code, and design changes go through Figma with Claude Code reading the design context directly. A small senior team with that tooling keeps CAMLAP moving across web, mobile and desktop.
Donnish have been excellent partners. They ask great questions to understand what we want to achieve and offer real technical expertise. They worked with us to develop shared and concrete expectations of how to best work together to manage timelines, budget, and outcomes. No uncertainty ever lasts long.
CAMLAP was designed to serve clinicians and their consulting teams as well as the trauma survivors themselves. Human-centred from the first sketch.
Flutter for the greatest flexibility across mobile and web. Firebase and Azure backend, Stripe for subscription payments. Work managed through a Jira board, using Loom.
Reach · expanding
The platform is now expanding from NSW to national, with international deployment in sight. The trauma-informed clinical-assessment work STARTTS pioneered now has a digital vehicle to reach survivors anywhere a clinician can sit with a tablet.
Design goal · Simplicity
Clinicians and survivors alike should intuitively understand what to do next. Adaptive interfaces, audio and visual modes, and native-script questionnaires meet people where they are.
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