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Jose Posada holds a Ph.D. and master’s degree in Biomedical Informatics from the University of Pittsburgh. He is highly skilled in the use of EHR data to answer clinical and healthcare operational questions. He co-leads the development and support of the Stanford Clinical Data Warehouse STARR-OMOP where he is responsible for increasing and ensuring the data quality of the database and leading the participation of Stanford in multicentric multinational clinical studies. His current research and development efforts focus mostly on clinical text. He led the scientific design of two clinical text pipelines, one to de-identify millions of clinical notes (TiDE) and the other to extract concepts from biomedical ontologies from them. He is uniquely qualified for developing and implementing state of the art clinical natural language processing algorithms to answer clinical questions.
Sr. Clinical Data Scientist
Clinical Natural Language ProcessingArtificial Intelligence in MedicineElectronic Health Records Data Quality