Applying AI solutions to enhance healthcare

Clinical Informatics
Healthcare AI
Venture Health Tech

Michele Tadiello in Central Park

About

Healthcare AI and informatics leader with multi-year experience building clinical AI systems and data strategy across academic medical centers, health systems, and startups. I am a former clinician and advisor to C-suite leaders across AI/ML, healthcare operations, and venture.

I have built clinical AI infrastructure for research teams, including an AI agent for clinical content retrieval for nurses.

I have published or contributed to peer-reviewed work in JAMA Network Open, JAMIA, Nursing Outlook, Health Equity, the International Journal of Obstetric Anesthesia, and OHDSI, including work on clinical NLP, stigmatizing language in electronic health records, synthetic data augmentation, ChatGPT for clinical documentation, and expansion of the OMOP Common Data Model for healthcare price transparency.

I hold a Master's degree of Management in Clinical Informatics from Duke University School of Medicine and a Bachelor of Nursing from the University of Verona School of Medicine.

Professional Experience

Hackensack University Medical Center

Clinical Informatics Engineer

Columbia University Irving Medical Center

Senior Informatics Specialist

One Fact Foundation

Chief Digital Officer

Duke University

Fellow, Design Health Program

University Hospital of Verona

Registered Nurse

Publications

View all publications on Google Scholar

Stack

Informatics & AI/ML: NLP/LLM systems, predictive modeling, RAG architecture, clinical analytics, EHR data (Epic Clarity), FHIR/HL7, OMOP CDM.

Data: SQL, MySQL, BigQuery, Dataform, Dataplex, Looker Studio.

Engineering: Python, PyTorch, TensorFlow, Hugging Face, LangChain, Docker, GitHub.

Cloud/Product: AWS, Azure, Google Cloud, Jira, Figma.

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