Case study · Healthcare (clinics and chronic care)
Clear Chronic Care.
This project involved building an AI-powered healthcare automation platform designed to streamline the creation of personalized healthcare plans for patients.
- What we built
- AI care plan generation SaaS with admin dashboard
- Stack
- Node.js, Express.js, TypeScript, Supabase
- Services
- AI report generationSaaS platformAdmin dashboardPDF generationMultilingual content
About the project
What is Clear Chronic Care?
This project involved building an AI-powered healthcare automation platform designed to streamline the creation of personalized healthcare plans for patients. Previously, clinics relied on manual processes to draft care plans, which were time-consuming and prone to inconsistencies. The new platform introduced AI-driven report generation that could automatically create structured healthcare plans in multiple languages (English & Spanish). This SaaS solution allowed clinics, hospitals, and healthcare providers to add patient and clinic information, and the AI agent would instantly generate a customized PDF healthcare report with treatment goals, medication schedules, and long-term maintenance plans.
The problem
What was slowing them down.
- 01
Manual Plan Creation
Doctors and staff were spending hours drafting care plans.
- 02
Inconsistent Reports
Mapping data from the handwritten forms to structured Excel columns was error-prone.
- 03
Limited Scalability
As patient numbers grew, clinics struggled to keep up.
- 04
Lack of Multilingual Support
Patients often needed healthcare plans in their native language.
- 05
No Centralized System
Managing multiple clinics, doctors, and devices was inefficient.
The solution
What we built.
AI-driven healthcare plan generation
Using GPT models for contextual medical reporting.
Dynamic PDF generation
Allowing reports to be instantly created, edited, and shared.
Multilingual support
English & Spanish, for broader patient accessibility.
Clinic & user management
Enabling the client to onboard multiple practices, doctors, and diagnostic devices.
Custom input forms
Staff could input patient demographics, diagnoses (e.g., hypertension, heart disease), and programs (CCM, RTM, TCM, RPM).
Instant AI reports
Detailed care plans with goals, medications, daily schedules, and future health recommendations.
Results
What changed.
Healthcare providers
80% reduction in time spent creating care plans
80% reduction in time spent creating care plans.
Consistency & accuracy
Consistency & accuracy across all generated reports.
Scalable SaaS product
Client could sell to multiple clinics and hospitals.
Increased patient satisfaction
Increased patient satisfaction due to personalized, multilingual care plans.
Revenue growth
Revenue growth for the client through licensing and subscriptions.
Key challenges
The hard parts, and how we solved them.
Ensuring medical accuracy in AI-generated reports
We implemented context-specific prompt engineering and role-based input validation to maintain integrity.
Secure patient data handling
Built role-based access control and encrypted data storage with Supabase.
Multi-clinic management
Designed a scalable admin dashboard to manage users, devices, and practices.
Multilingual report generation
Integrated AI-powered translation for English-Spanish content creation.
Dynamic PDF editing
Developed a real-time PDF update system for flexible report adjustments.
Tech stack
What it runs on.
- Backend
- Node.jsExpress.jsTypeScript
- Database & Storage
- Supabase
- Authentication & Security
- Role-based accessPasscode-based authentication
- AI & Automation
- OpenAI GPT modelsAI-powered report generation
- File Handling
- MulterSupabase StorageDynamic PDF generation
- Containerization
- DockerDocker Compose
- Optional System Dependencies
- GraphicsMagick (gm)Poppler (pdftoppm)Tesseract OCR
- Testing & Documentation
- Custom API testing suiteComprehensive endpoint documentation
- Development Tools
- ESLintPrettierTypeScript Compiler
Process
How we got there.
01Clinic Onboarding
Client adds new clinics, practices, and doctors
02Patient Data Entry
Staff enters patient demographics, diagnosis, and care programs
03AI Processing
OpenAI integration analyzes inputs and generates personalized content
04PDF Generation
Dynamic reports are created with health goals, medications, and maintenance plans
05Review & Edit
Reports can be live-edited before sharing with patients
06Export & Share
Final PDF delivered to patients in their preferred language
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