Flatiron Health, Inc.

Alexander Padmos

Lauren Sutton

Angel Leung

Janet Donegan

Dominic Green

Addison Shelley

Sharang Phadke

Chun-Che Wang

Edward Liu

Lucy He

Peter M Larson

Rahul Bafna

Jessie Tseng

David Light

Shannon Lee

Frank Zexi Chen

Max Tromanhauser

Nathan Chan

Zexi Chen

Caroline Nightingale

Achin Batra

Harvey James Hamrick, Jr

Anthony Hogan

Joshua Buddle

A computer-implemented system for determining trials using a metastatic condition of a patient may include at least one processor programmed to receive a selection of a patient; access, in response to the selection of the patient, a patient dataset associated with the patient; receive a predicted metastatic condition associated with the patient; cause display of at least a first portion of the patient dataset and the predicted metastatic condition; determine, based on at least a second portion of the patient dataset or the predicted metastatic condition, a subset of trials for the patient, wherein the subset of trials for the patient is determined from a plurality of trials; and cause display of at least the subset of the trials for the patient.

Systems and methods for patient-trial matching

A graphical user interface for displaying an electronic medical record associated with a patient is provided. The graphical user interface may include an area configured to display patient information, which may include at least a name of the patient. The graphical user interface may also include an indicator displayed in association with the name of the patient. The indicator may include information specifying that the patient is potentially eligible for one or more trials, the patient is participating in one or more trials, or the patient has completed one or more trials.

Systems and methods for providing clinical trial status information for patients

A computer-implemented system for identifying a patient for a trial may include at least one processor. The at least one processor may be programmed to receive an indication of a selected trial, the selected trial being associated with a testing status criterion; access a plurality of patient records associated with a patient of a plurality of patients; determine, using a machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; determine that the genomic testing status satisfies the testing status criterion; and include the patient in a subset of the plurality of patients based on the genomic testing status satisfying the testing status criterion.

Systems and methods for determining a genomic testing status

Systems and methods may manage one or more clinical trials. In one implementation, a system for creating a query for a trial includes at least one processor programmed to: cause a computing device associated with a sponsor of the trial to display a graphical user interface comprising a plurality of patient identifiers associated with the trial; receive, from the computing device, a selection of one of the plurality of patient identifiers; receive, from the computing device, a query comprising an inquiry relating to the selected patient identifier; and transmit the query to a practice site associated with the selected patient identifier.

Systems and methods for managing clinical trials

A computer-implemented system for determining a genomic testing status of a patient may include at least one processor programmed receive, from a source, unstructured information from a plurality of patient records associated with a patient; determine, using a first machine learning model, a primary patient record from among the plurality of patient records, wherein at least a portion of information represented in the primary patient record correlates to genomic testing; determine, using a second machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; and display a user interface comprising an indicator of the genomic testing status of the patient and a link to the primary patient record.

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New York, NY, United States of America

Alexander Padmos