The Challenge: Overwhelmed by Unstructured Medical Data
One of Canada’s largest hospitals, a leading provider of digestive health services in Vancouver, manages thousands of patients yearly. Each visit generates extensive documentation within their EMR system, including operative reports, consultation summaries, and prescriptions. As patient volumes grew, manually reviewing these documents became an overwhelming task. The clinic needed a more efficient way to extract and analyze critical patient data without relying on time-consuming manual processes.
Our Solution: AI-Powered Data Extraction and Analysis
At Cavallo Technologies, we designed a cutting-edge AI-driven platform using Databricks to convert unstructured medical documentation into structured, searchable clinical data. Our solution includes three key components:
Intelligent Data Processing with AI
Leveraging Large Language Models (LLMs) and Optical Character Recognition (OCR), our system automatically extracts essential medical details from various documents, ensuring accuracy and compliance with healthcare regulations. This structured database allows staff to quickly query patient records and generate clinic-wide insights in seconds rather than hours.
Conversational Access to Medical Data
We built an intuitive natural language interface powered by Databricks, enabling medical professionals to retrieve data using plain English queries. Instead of manually searching through files, staff can ask questions, and the system generates accurate, real-time responses while maintaining data security and privacy.
AI Assistant for Rapid Patient Insights
Our Retrieval Augmented Generation (RAG)-powered chatbot acts as a virtual assistant, helping clinical teams quickly access patient-specific information across multiple documents. It can summarize patient history, track treatment progression, and answer key medical queries, reducing administrative workload and improving decision-making.
Ensuring Accuracy and Compliance
Using Databricks’ Data Intelligence Platform, our solution enhances efficiency while preserving the accuracy and security of medical data. Through continuous collaboration with medical staff, we refined the system to recognize medical terminology, standardize healthcare codes, and maintain clinical context. Key enhancements included:
- Improved recognition of medical terms and entities
- Enhanced preservation of clinical context
- Validation against standardized ICD-9 codes
- Alignment with industry healthcare terminology
The Impact: Saving Time and Enhancing Patient Care
With our AI-powered platform, the hospital could process thousands of documents monthly, saving an estimated 30 minutes per document compared to manual review. This results in over 1,000 hours saved annually—time that can now be redirected toward patient care. By unlocking insights from unstructured medical data, the clinic can improve clinical decision-making, streamline research, and enhance overall efficiency in healthcare delivery.