Industry Challenge
In today’s healthcare landscape, clinicians are under pressure to interpret growing volumes of diagnostic data—labs, clinical notes, and imaging summaries—quickly and accurately. Yet, the manual review process is time-consuming, cognitively demanding, and prone to human oversight.
Across the industry, common challenges include:
- Time-intensive analysis of diagnosis documents in varied formats.
- High cognitive load leading to fatigue and variability in decision-making.
- Limited access to intelligent, real-time tools for clinical support.
- The need for secure, explainable AI that supports—not replaces—doctors.
The Solution: GenAI Diagnosis Assistant by DinoCloud on AWS
To address this need, DinoCloud, an AWS Premier Partner and AWS Generative AI Competency Partner, has developed a production-grade GenAI-powered diagnosis assistant for healthcare environments.Built on Amazon Web Services (AWS) and designed for HIPAA-grade security, this solution allows doctors to upload diagnosis documents and engage with an AI assistant that responds to natural language questions with grounded, accurate answers—helping accelerate diagnostic workflows while maintaining precision and compliance.
Key Capabilities
- 💬 AI Q&A Interface: Physicians can ask questions like “What were the findings in the CT scan?” and receive intelligent, document-grounded responses.
- 📂 Multi-Format Ingestion: Accepts PDF, DOCX, and TXT diagnosis documents via drag-and-drop or API.
- 🔐 Compliance-Ready Architecture: Built with encryption, access control, and secure AWS services suitable for HIPAA environments.
- ⚡ Real-Time Performance: Delivers responses in under 3 seconds with full context memory across sessions.
- 📤 Export Options: Enables doctors to download chat transcripts and supporting documents as PDF reports.
- 🔁 Continuous Learning: Includes anonymized feedback loops to improve model relevance and accuracy over time.
Built on AWS: Scalable, Secure, and Explainable
The architecture uses a suite of AWS services, including:
- Amazon Bedrock (Claude or Mistral): LLM engine for fast, contextual answers.
- Amazon Kendra / OpenSearch: Indexes and retrieves relevant document content.
- Amazon S3: Securely stores diagnosis files and generated exports.
- Amazon Lambda & API Gateway: Orchestrate secure document processing and inference flows.
- Amazon Cognito: Authenticates doctors and enforces secure access.
- Amazon DynamoDB: Maintains patient context and session history.
- Amazon CloudWatch + X-Ray: Tracks performance, latency, and audit logs.
- Amazon SNS / SES: Sends alerts and session summaries to clinicians.
Business Impact
By deploying this solution, healthcare providers can:
- Save valuable time during clinical assessments.
- Reduce diagnostic variability and improve consistency.
- Enhance physician support without disrupting workflows.
- Maintain full control over patient data security and compliance.
- Scale intelligent assistance across care teams and facilities.
Conclusion
This GenAI-powered diagnosis assistant illustrates how generative AI can meaningfully enhance the speed, safety, and quality of healthcare delivery.
Rather than replacing human expertise, the solution complements it—supporting clinicians in making more informed, efficient, and confident decisions at the point of care.
