Rebecca Crowley Jacobson, MD, MS

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Presentation transcript:

Rebecca Crowley Jacobson, MD, MS Professor, DBMI CIO, Institute for Personalized Medicine Director of NLM funded Informatics Training Program Elected Fellow of ACMI, 2010

1. Deep Phenotyping Enable precision medicine efforts by combining natural language processing, medical knowledge representation, and software development to create state-of-the art methods and systems for extracting phenotypes from EMRs and other sources, and for linking them to biospecimens Precision Medicine EMRs Biobanks Research Repositories

1. Deep Phenotyping Projects DeepPhe collaboration with Guergana Savova and cTAKES team to develop open-source cancer phenotype extraction system. cancer.healthnlp.org Funding: National Cancer Institute (NIH) 1U24CA184407 TIES Cancer Research Network collaboration with Roswell Park, UPenn and Georgia Regents to develop a biobank network across US cancer centers sharing data and biospecimens, based on our TIES NLP software. ties.pitt.edu Funding: National Cancer Institute (NIH) 1U24CA180921

2. Learning Health System Improve efficiency and quality of healthcare by developing novel methods for individually tailored and personally relevant feedback to healthcare providers based on analysis of health data

2. Learning Health System Projects Smart Training Systems for pathologists building on the cognitive tutoring paradigm http://slidetutor.pitt.edu Previous funding: National Library of Medicine (NIH) R01 LM 007891, National Cancer Institute (NIH) R25 CA101959, Agency for Healthcare Quality and Research U18 HS016657 Automated guideline adherence system for clinical officers in Malawi. Collaboration with Zach Landis Lewis and Gerry Douglas Previous Funding: Fogarty International Center 1R03TW009217 Automated Audit and Feedback for radiologists blends NLP and health analytics to drive automated feedback within Radiology Information System, specific to provider Currently seeking funding