Clinical
In the rapidly evolving landscape of artificial intelligence in healthcare, the Clinical Workgroup plays a pivotal role in ensuring that AI-driven innovations are aligned with the clinical needs at VP&S. AI can enhance patient-centered care in multiple ways, including early diagnosis, personalized treatment plans, and clinician support in delivering high-quality care.
The Clinical Workgroup aims to validate AI models for clinical accuracy, usability, and safety while training clinical staff and providers on how to incorporate the models in patient care. The workgroup will evaluate and track AI tools, and create a governance process for its use. It will highlight best practices for AI in clinical care, lead focus groups for various clinical specialties within VP&S, and showcase tools that are deemed fit for use in clinical practice.
By bridging the gap between cutting-edge AI research and frontline healthcare practice, the Clinical Workgroup will shape AI solutions at VP&S that are practical, trustworthy, and capable of transforming patient outcomes.
Meet Our Team
Timothy James Crimmins, MD
- Workgroup Lead
- Chief Medical Information Officer
Research Focuses: vascular medicine, non-invasive vascular diagnosis, general internal medicine and medical education
Noémie Elhadad, PhD
- Chair, Department of Biomedical Informatics
- Associate Professor of Biomedical Informatics
Research Focuses: machine learning, human-centered AI, biomedical informatics, women's health
Pierre Adil Elias, MD
- Assistant Professor in Cardiology & Biomedical Informatics
Research Focuses: cardiology, imaging
Nicole Krenitsky, MD
- Assistant Professor, Maternal-Fetal Medicine
Rachel A. Lewis, MD
- Associate Chief Medical Information Officer
Karthik Natarajan, PhD
- Assistant Professor of Biomedical Informatics
Research Focuses: electronic health records, clinical decision support, information retrieval, text extraction, data quality, warehousing, data engineering, OMOP, OHDSI, clinical informatics, clinical research informatics
Soojin Park, MD, FAHA, FNCS
- Associate Professor of Neurology (in Biomedical Informatics)
Research Focuses: machine learning, prediction, signal processing, decision support, device data, critical care
Benjamin Lewis Ranard, MD, MSHP
- Assistant Professor of Medicine at CUMC
Research Focuses: clinical decision support, sepsis, learning health systems, patient safety
Sarah Collins Rossetti, PhD, BSN, RN, FAAN, FAMIA, FACMI
- Associate Professor of Biomedical Informatics and Nursing
Research Focuses: clinical informatics, CDS, AI implementation, UCD, healthcare process modeling, documentation burden reduction
