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Healthcare Provider: RAG-Powered Clinical Decision Support

We built a clinical decision support system that helps physicians access the latest medical literature, drug interactions, and treatment guidelines in real-time—reducing information search time by 65% and improving guideline adherence by 23%.

Scale: Now serving 15,000+ daily queries across 45 hospitals and clinics with 98% physician satisfaction.

Duration
9 months
Team Size
12 engineers
Investment
$750K - $1.5M
Location
Boston, USA

The Challenge

A regional health system with 45 hospitals and clinics faced a critical knowledge management challenge:

  • Information overload: Physicians spending 2+ hours daily searching for clinical information
  • Outdated practices: 18-month average lag in adopting new clinical guidelines
  • Fragmented systems: Clinical protocols scattered across SharePoint, PDFs, and legacy systems
  • Drug interaction risks: Manual checking leading to occasional missed interactions

"Our physicians were drowning in information but starving for knowledge. We needed a way to surface the right information at the right time."

— Chief Medical Officer

Our Solution

RAG-Powered Knowledge System

We developed a sophisticated Retrieval-Augmented Generation (RAG) system that indexes and retrieves from multiple authoritative sources:

Data Sources Integrated

  1. Internal clinical protocols — 2,500+ documents indexed with version control
  2. PubMed/MEDLINE — Real-time access to 35+ million citations
  3. Drug databases — FDA labels, interactions, and contraindications
  4. Patient context — EHR integration for personalized recommendations

Key Features

  • Evidence-based answers: Every recommendation includes citations and confidence scores
  • Drug interaction checker: Real-time analysis against patient's current medications
  • Guideline updates: Automatic alerts when relevant guidelines are updated
  • EHR integration: Seamless embedding within Epic and Cerner workflows

HIPAA Compliance: All patient data processed in compliance with HIPAA. No PHI stored in vector databases—only anonymized embeddings used for retrieval.

User Experience

Natural language interface allows physicians to ask questions as they would to a colleague, receiving structured, actionable responses within seconds.

Key Features Delivered

RAG system
Clinical decision support
EHR integration
HIPAA compliant

Results & Impact

65%

Reduction in Search Time

23%

Improved Guideline Adherence

98%

Physician Satisfaction

15K+

Daily Queries

“This tool has fundamentally changed how I practice medicine. I can access the latest research instantly.”

Dr. Michael Roberts
Chief Medical Officer
Regional Health System

Technologies Used

GPT-4LangChainPineconeFHIRReactNode.js

Services Provided

Ai AutomationCustom SoftwareHealthcare Solutions

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