Project Overview
Transform healthcare and diagnostic centers by digitizing offline forms and leveraging advanced data processing and AI technologies. This approach enhances decision-making and operational efficiency by making patient data more accessible and actionable.
Solution
- Data Digitization: Utilize OpenText Capture Service to convert physical documents into digital formats (CSV, JSON).
- Document Classification and Storage: Classify documents (e.g., application forms, medical records) and store them securely in Azure Blob Storage.
- Data Analysis and Visualization: Analyze structured data to display Key Performance Indicators (KPIs) on a webpage, aiding real-time decision-making.
- AI-powered Chatbot: Integrate a chatbot using Azure OpenAI and AI Search to facilitate quick and efficient data queries by healthcare professionals.
Methodology
Document Storage and Processing:
- Store images in OpenText Content Storage.
- Use Azure Form Recognizer to extract relevant information from documents, storing the output in JSON format for further processing.
Data Refinement and Storage:
- Send each JSON to Azure OpenAI for text refinement and structuring.
- Save the refined information in PDF format for final digitization.
- Store the data from JSON files in Azure AI Search, connected to a chatbot in a RAG (Red Amber Green) setup.
Interactive Querying:
- Enable users (doctors/practitioners) to query relevant information from the documents stored in Azure AI Search.
- Users can conduct conversations with the chatbot, which retrieves answers from the document database.
Data Analysis:
- Convert JSON data into CSV format to analyze for insights like common diagnoses and frequently prescribed medicines.
Impact
This solution not only streamlines the management of healthcare data but also significantly enhances the quality of patient care by providing quick access to vital information, thus improving both diagnostic speeds and outcomes.
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