01
Frontend & Application Backend
4 technologies
React.jsAdonisJSNode.jsMySQL
ConvoNote
AI-Powered Clinical Documentation Platform
ConvoNote uses AI to automate clinical documentation, generate SOAP notes, assist with medical coding, and integrate healthcare systems for streamlined clinic workflows.
Technologies:AdonisJSAI IntegrationAmazon S3AWS EC2AWS RDSMySQLNode.jsReact.jsTypeScript
Business Focus: AI-Powered Clinical Documentation
Case Study Summary
ConvoNote connects patient scheduling, encounter recording, AI-generated clinical notes, coding suggestions, patient outreach, and electronic health record updates in a unified clinical workflow. The platform combines configurable AI agents with secure cloud infrastructure and healthcare system integrations to help clinics reduce repetitive administrative work and manage documentation more efficiently.
Industry
Healthcare & HealthTech
Timeline
18 Months
Platform
Web App
Architecture
AWS Cloud & Multi-Agent AI
Business Challenges
01
Time-Consuming Clinical Documentation
Healthcare providers need to capture patient encounter details, prepare SOAP notes, and complete documentation manually. This creates repetitive administrative work and adds complexity to clinical workflows.
02
Complex AI Note Generation
Converting recorded medical conversations into accurate, structured clinical documentation requires medical transcription, context-aware AI processing, configurable templates, and provider review.
03
Fragmented Healthcare Systems
Scheduling platforms, patient records, EHR systems, and communication tools operate across different systems. Connecting these workflows requires reliable data exchange and patient-context reconciliation.
04
Healthcare Data Security and Scalability
Processing sensitive clinical information with AI requires strong encryption, controlled access, auditability, data retention controls, and a scalable cloud architecture.
What ExpertsCloud Built
An Integrated AI Platform for Clinical Documentation and Clinic Operations
01
AI-Powered Clinical Documentation
Developed multi-agent AI workflows that transform recorded or live patient encounters into structured SOAP notes and custom clinical templates. Providers can review, edit, and regenerate individual note sections before finalizing documentation.
02
Healthcare Workflow Integrations
Connected Zoho Bookings, Zoho CRM, DrChrono, eClinicalWorks/healow via FHIR, and Retell AI to link scheduling, patient context, EHR documentation, and automated outreach.
03
Secure AWS-Native AI Infrastructure
Implemented AWS-based application infrastructure, encrypted clinical data handling, protected API payloads, audit logging, and anonymized clinical knowledge retrieval using Amazon Bedrock Knowledge Bases.
04
Clinical Coding and Document Intelligence
Added AI-assisted ICD-10, CPT/HCPCS, and E&M coding suggestions, guide and discharge summary generation, and insurance-card/document extraction workflows using Amazon Bedrock Data Automation.
How We Solved the Challenge
From Patient Appointment to Structured Clinical Documentation
01
Connected Scheduling and Patient Context
Integrated Zoho Bookings and Zoho CRM to retrieve appointment details, patient/contact context, and booking-related information. Connected EHR systems to reconcile patient and appointment data before documentation workflows.
02
Automated Medical Transcription and AI Processing
Used Deepgram's nova-3-medical model for medical transcription, with OpenAI Whisper as a fallback. Configurable AI agents using Google Gemini and OpenAI generate structured notes and support additional documentation tasks.
03
Enabled Review, Coding and EHR Updates
Built provider-facing review and editing workflows, AI-assisted coding suggestions, and integrations for transferring completed SOAP documentation into supported EHR records, including DrChrono.
04
Established Secure Cloud and Clinical Search
Used AWS infrastructure, encryption, audit logging, retention jobs, and JSON Web Encryption (JWE) for API payload protection. Anonymized note content feeds Amazon Bedrock Knowledge Bases to support clinical retrieval without embedding raw PHI in the knowledge base.
Tech Stack
02
AI, Speech & Document Intelligence
3 technologies
OpenAIAmazon BedrokDeepgram Nova-3 Medical
03
Cloud, Security & Integrations
5 technologies
AWS EC2Amazon RDSAmazon S3PM2Retell AI
Before VS After
Before
- Manual clinical note preparation
- Disconnected scheduling and documentation workflows
- Separate steps for transcription and coding support
- Fragmented clinical information retrieval
VS
After
- AI-generated, provider-reviewed SOAP notes
- Appointment-aware, integrated clinic workflows
- Integrated transcription and coding assistance
- Anonymized clinical search and knowledge retrieval
Results & Outcomes
Streamlining Documentation and Connecting Clinical Workflows
- Automated transcription and structured note generation help reduce repetitive typing and provide clinicians with an editable starting point for clinical documentation.
- Scheduling, intake outreach, encounter documentation, and EHR updates are connected through integrations designed to reduce fragmented processes and duplicate administrative steps.
- Anonymized clinical knowledge retrieval and AI-assisted coding suggestions help support documentation workflows and make relevant prior information easier to search.
- Encryption, audit logging, access controls, protected API payloads, and AWS-based infrastructure provide technical safeguards for sensitive clinical information.
FREQUENTLY ASKED QUESTIONS
ConvoNote is an AI-assisted clinical documentation platform for outpatient clinics. It converts recorded patient encounters into structured clinical notes and supports provider review, coding suggestions, and EHR documentation workflows.
The platform transcribes encounter audio using medical speech recognition and processes the transcript through configurable AI agents. These agents draft SOAP-style notes and custom templates that providers can review, edit, and regenerate.
The platform integrates with Zoho Bookings and Zoho CRM for scheduling and patient context, DrChrono for EHR workflows, eClinicalWorks/healow through FHIR interoperability, and Retell AI for outbound patient outreach.
The architecture includes AES-256-GCM encryption, integrity checks, audit logging, retention jobs, and JWE protection for API payloads. Anonymized note content is used for the Bedrock Knowledge Bases retrieval layer rather than embedding raw PHI.
Yes. The platform supports AI-assisted suggestions for ICD-10, CPT/HCPCS, and E&M visit levels. These are suggestions for review, not a replacement for clinician or qualified billing professional judgment.