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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
HARVEST: A Longitudinal Patient Record Summarization System at the Point of Care [D24]

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As more and more observations are recorded in patient records, providers face an overwhelming amount of complex data points, with little time for making sense of them all. This phenomenon of information overload has been observed in primary and specialty care, during hospital admissions, and in the emergency room. One of the promises of the electronic health record is to support clinicians at the point of care. Unfortunately, it seldom provides effective cognitive support. HARVEST is an interactive, problem-oriented patient record summarization system. It innovates in three ways: (i) it extracts content from the patient notes, where key clinical information resides; (ii) it aggregates and presents information from multiple care settings, including inpatient, ambulatory, and emergency department encounters; and (iii) it is integrated into the electronic health record at NewYork-Presbyterian Hospital.

Demo/Poster Presenter
avatar for Marc Sturm

Marc Sturm

IT Director, New-York Presbyterian Hospital
I am an IT Director at NYP Data Analytics team. I have been working in IT for over 20 years, and in Health Care for over 10 years. I am responsible of the Big Data and Data Science project at the hospital.
avatar for Sharon Lipsky Gorman

Sharon Lipsky Gorman

Programmer Analyst in Biomedical Informatics, College of Physicians and Surgeons
Sharon works for the Department of Biomedical Informatics at Columbia University. She is one of the core developers and designers of HARVEST, a longitudinal patient record summarization system for supporting clinicians at the point of care. Her research interests include data visualization and machine learning. | | Sharon holds a M.S. in computer science from Polytechnic Institute of New York and an M.A. from Columbia University in biomedical... Read More →

Demo/Poster Collaborator
avatar for Noemie Elhadad

Noemie Elhadad

Associate Professor of Biomedical Informatics, College of Physicians and Surgeons
Prof. Elhadad's research is in biomedical informatics, natural language processing, and data mining. She develops techniques that aim to support clinicians, patients, and health researchers in their information workflow by automatically extracting and making accessible information from unstructured, large clinical datasets (e.g., the electronic patient record) and patient platforms (e.g., online health communities). Her research relies on... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (2)