HIPAA compliant AI chat for Doctors to instantly get patient information
Empowering Doctors, Transforming Care with AI-Driven Insights
For healthcare professionals, every second spent searching for patient records is a second taken away from patient care. With fragmented data spread across paper files, legacy systems, and digital platforms, critical information often arrives too late to make a real impact. A leading healthcare provider partnered with KnackForge to change that—leveraging AI to turn scattered data into timely, actionable insights.
Challenges
Business Challenge: Delays in Accessing Patient Data Were Slowing Down Care
- Scattered Medical Records Across Systems – Patient histories were buried across multiple systems, making retrieval slow and inefficient.
Missed Insights – Doctors had to manually sift through unstructured reports, increasing the risk of overlooking crucial medical information.
- Strict Compliance Needs – HIPAA regulations required a secure, role-based access system to protect sensitive patient data.
The Solution
AI-Powered Agentic Chat for Real-Time, Contextual Insights
We built an intelligent AI agent designed to function like a digital medical assistant, providing doctors with the right data at the right time:
- AI Agent Framework – Integrated with the existing medical records system to centralize and streamline data access.
- RAG Vector Indexing – Indexed structured and unstructured medical records for instant retrieval.
- HIPAA-Compliant Security – Protected patient privacy and supported the client through compliance certification.
- Role-Based AI Chat – Personalized access to patient information based on the user’s role, ensuring secure and relevant data retrieval.
The Impact
More time in the hands of Doctors, Faster Decisions, Better Patient Outcomes
- 50% Faster Information Retrieval – Doctors now access patient histories instantly, reducing diagnostic delays and improving treatment plans.
- Higher Accuracy in Medical Insights – AI minimizes human error in retrieving and interpreting past records, leading to better clinical decisions.
- Increased Efficiency for Healthcare Teams – Less time spent searching, more time spent on patient care.
Technologies Used:
- LangChain
- PostgreSQL & pgVector
- OpenAI