Healthcare
experience
Plank teams have delivered AI-enabled use cases in a wide range of healthcare subdomains including personalized treatment planning, healthcare chatbots, medical image analysis, precision medicine and EMR integration.
Multi-modal AI Chatbots for patients
- Voice-based intake and discharge form filling using OpenAI voice SDK
- Prescription reminders using Supabase realtime
- Nutrition and fitness planning using multi-agent Langgraph AI agent
EMR integration and data normalization
- LLM-powered secure data scraping using Firecrawl.dev
- Using unified schemas and LLM structured output agents for normalization
- Using LLMs to codegen the integration SDKs for 50+ EMRs
MLOps infrastructure for medical research
- Auto-scaled compute and storage infrastructure for proteomic data ML pipelines
- Analysis of nutrition tracking data for health marker prediction
- Large scale ML model inference for medical imaging analysis
Voice and telehealth applications
- Using OpenAI voice and ElevenLabs for remote patient monitoring voice bots
- Remote voice based patient intake and follow-up
- Voice powered answering of nutrition-related health inquiries
HIPAA and SOC-2 compliance
- Auditing and updating the entire software deployment to make it ready for HIPAA
- Secure handling of piia and EHR patient data
- On-going monitoring and fixing issues reported by tools like Vanta to ensure on-going compliance
Medical process workflow optimization
- Using AI frameworks like n8n.io and Langgraph to automate multi-step medical workflows
- OCR to digitize medical forms using LlamaParse, Omni, Gemini.
- AI agents to autofill insurance forms from pre-existing information
Engineers we’ve worked with
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