Hello, I'm Elena Thomas
Healthcare Informatics Professional | Bridging Clinical Experience with Data-Driven Solutions
About Me
I'm Elena Thomas, a Healthcare Informatics Professional bridging clinical experience with data-driven solutions. With 5+ years of hands-on healthcare experience, including MRI Technology at UW Hospital, and a recently completed Master's in Clinical Healthcare Informatics, I combine deep clinical knowledge with advanced technical skills to drive meaningful improvements in healthcare delivery.
My technical background includes healthcare data analysis using SQL, Python, and Tableau, along with healthcare data standards like DICOM and HL7 protocols. I have clinical experience with EHR systems, Picture Archiving Communication Systems (PACS), and clinical workflow optimization. I'm also skilled in cloud technologies (Google Cloud Platform), big data (BigQuery), and AI/ML frameworks (Vertex AI).
My unique background allows me to understand both the clinical challenges healthcare professionals face and the technical solutions that can address them. I excel at collaborating across multidisciplinary teams to develop, test, and implement data-driven strategies that enhance patient care and operational efficiency.
Health AI Query Platform
A platform that allows healthcare professionals and researchers to query large medical datasets using natural language. Simply ask questions in plain English, and the system automatically translates them to SQL using AI.
Built with Google Cloud's Vertex AI and BigQuery, this tool enables users to explore complex healthcare data without needing SQL expertise. It's designed to make data analysis accessible to clinicians, researchers, and healthcare administrators, empowering them to derive insights and make informed decisions quickly.
The platform leverages a synthetic FHIR dataset generated by Synthea, containing over 1.2 million patient records. It can handle a wide range of medical queries, from patient demographics to disease prevalence and treatment outcomes, providing results in easy-to-understand formats like charts and tables.
How It Works
1. Ask a Question: Type queries like "How many patients have diabetes?"
2. AI Translation: Vertex AI converts your question to SQL
3. Data Search: BigQuery searches 1.2M synthetic patient records
4. Smart Formatting: Results automatically formatted as charts or tables
5. Plain English Results: Get summaries, visualizations, and raw data
Technical Stack
Backend: Python with Google Cloud Platform
AI/ML: Vertex AI for natural language processing
Database: BigQuery with FHIR Synthea dataset
Frontend: Streamlit for interactive UI
Standards: FHIR (Fast Healthcare Interoperability Resources)