Flatiron Health, Inc.

Melisa Tucker

Nathan Coleman Nussbaum

Dennis Lee

Benjamin Edward Birnbaum

Gil Shklarski

Joseph Delgado

Paul Stephen Richardson

Shannon Lee

Dominique Connolly

Catherine Miller

James Dura

Cynthia Revol

Elijah Meerson

Joseph DiLallo

Joseph Mou

Nathaniel Turner

Maayan Roth

Daniel Eisenberg

Zachary Weinberg

Amy Abernethy

Lauren Ellsworth

Paul You

Ross Feinstein

Geoffrey Calkins

Jeremy Feinstein

Dina Levy-Lambert

Caitlin Keenan

Jeremy Kohansimeh

Systems and methods are disclosed for visualizing medical data. In one implementation, the systems each comprise a database, a memory that stores a set of instructions and at least one processor in communication with the memory configured to execute the set of instructions so the system may receive the medical data in one or more formats from a plurality of sources, the medical data comprising a plurality of events associated with one or more patients, convert the medical data from the one or more formats to a standardized data format, store the standardized data in the database, receive a query comprising at least one patient characteristic, query the database to identify a patient associated with the at least one patient characteristic, generate a graphical user interface to include the standardized data represented as a timeline of events associated with the identified patient and display the generated graphical user interface.

Systems and methods for visualizing data

Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.

Extracting facts from unstructured data

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Brooklyn, NY, United States of America

Melisa Tucker