AI-Powered Patient Data Extraction for Community Care

This technical report outlines the development of an AI-powered patient data extraction pipeline designed for a community care technology provider. The objective was to enhance the extraction of structured patient information from medical reports while adhering to OASIS guidelines. The report details the challenges faced by the healthcare technology provider, including the complexity of pulling multiple data elements from reports and the inefficiencies of manual handling, which hindered compliance and introduced errors. The solution involved the integration of generative AI, healthcare data governance, and Google Cloud Platform engineering to create a compliant and efficient data extraction pipeline. Key features of the pipeline include the use of Python and the Gemini 1.5 language model for processing patient information, as well as embedded compliance with OASIS guidelines to ensure regulatory adherence. The outcomes delivered include streamlined extraction processes, improved accuracy, and enhanced service delivery to healthcare clients, ultimately supporting better patient care across various settings.