Curato is an AI-powered tool designed to alleviate the growing administrative burden on healthcare providers. By combining audio transcription, structured EHR generation, and document sharing, Curato streamlines workflows so clinicians can focus on what matters most: patient care.

Clinicians spend 2x more time on paperwork than with patients.

• Manual updates to EHRs are time-consuming and error-prone.
• Example: Paper-based cognitive tests require manual scoring and data entry.
• Impact: Leads to delayed diagnoses, billing mistakes, and patient safety issues.

24.4% of patients report delays due to inefficient communication.

• Scheduling via phone/email lacks automation and follow-up.
• Example: Missed appointments due to no reminders or confirmations.
• Impact: Strains staff and results in delayed care.

30.9% of patients experience care delays due to insurance issues.

• Verifying coverage, resolving denials, and prior authorizations are time-intensive.
• Example: Incorrect billing leads to financial strain and denied claims.

A single 161-bed hospital may spend $7.6 million annually on compliance.

• Requires nearly 59 full-time staff to manage documentation and oversight.
• Example: Post-acute care facilities must comply with 288+ extra regulations.
• Impact: Significant financial and operational burden.

Fragmented systems hinder cross-provider communication.

• Referral and handoff processes are often manual and redundant.
• Impact: Leads to miscommunication, duplicate tests, and disrupted care.

• [1] Creyos
• [2] Agiliti Health
• [3] PMC Article
• [6] SLCHC Blog

Curato addresses these challenges through a modular, AI-driven system:

Doctors can record patient conversations directly in the platform. Curato transcribes the audio in real time using the Gemini API, generating accurate, editable text.

Transcripts are analyzed by an AI model that extracts structured data for Electronic Health Records (EHR), auto-filling critical sections like:

• Chief Complaint
• Allergies & Medications
• SOAP Notes (Subjective, Objective, Assessment, Plan)
• Chaperone documentation, vitals, and more

Patients can selectively share their health information with providers via QR code. This helps reduce repetitive intake questions and improves continuity of care.

Patients can:

• View upcoming and past appointments
• Chat with the assistant to ask about medications, appointments, summaries, etc.
• Control what data to share with clinicians and when

• Next.js 14 + App Router
• TypeScript
• Tailwind CSS
• Google Gemini API (for transcription & EHR RAG)
• QRCode generation
• Optional Vectara (RAG platform) support for longitudinal health document search

• 🧠 Integrate Vectara for document-level semantic search
• 🔒 End-to-end encrypted patient-provider messaging
• 🗂️ FHIR-compliant health data export
• 🌍 Multilingual and accessibility support

• Thai An Le – Developer, Designer
• Britney Nguyen - Developer

This is a Next.js project bootstrapped with create-next-app.

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.