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Research Grants

Funding For:

Improving the Effectiveness and Efficiency of High-Risk Care Management through Machine Learning


Recipient:

Ziad Obermeyer, Brigham and Women's Hospital

Grant Period:

Jan 01, 2016 - Dec 31, 2016

AMOUNT:

$54,432.00

Summary of the Project:

This NIHCM-funded study will apply state-of-the-art machine learning techniques to electronic health record data to develop predictive models that: (1) identify patients at high risk of becoming high users, and (2) predict which patients are likely to achieve better health outcomes and/or lower health care utilization in response to high-risk care management (HRCM). Results will contribute to more effective and efficient HRCM programs, helping to provide better care at lower cost.

Related Grantee Work

October 24, 2019

"Dissecting racial bias in an algorithm used to manage the health of populations"

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Author: Obermeyer Z, Powers B, Vogeli C, Mullainathan S, Science

November 06, 2019

Racial bias found in widely used health care algorithm

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Author: Quinn Gawronski, NBC News

October 24, 2019

Researchers Find Racial Bias in Hospital Algorithm

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Author: Melanie Evans & Anna Wilde Matthews, The Wall Street Journal

October 24, 2019

Racial bias in a medical algorithm favors white patients over sicker black patients

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Author: Carolyn Y. Johnson, The Washington Post

October 24, 2019

A Major Healthcare A.I. Has a Serious Racial Bias: Brainstorm Health

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Author: Sy Mukherjee, Fortune

October 24, 2019

How computer algorithms help spread racial bias in U.S. healthcare, and how they can help fix it

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Author: Amina Khan, Los Angeles Times

October 24, 2019

Widely used algorithm for follow-up care in hospitals is racially biased, study finds

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Author: Shradda Chakradhar, STAT

October 29, 2019

Biased Algorithms Affect Healthcare for Millions

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Author: Nicola M. Perry, Medscape

October 28, 2019

Healthcare Prediction Algorithm Found to be Biased Against Blacks

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Author: Managed Healthcare Executive Staff

Health Highlights: Oct. 28, 2019 October 28, 2019

Health Highlights: Oct. 28, 2019

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Author: U.S. News & World Report

October 28, 2019

UC Berkeley researchers find widely used health care algorithm is biased

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Author: Marc Escobar, The Daily Californian

October 30, 2019

Widely used health care prediction algorithm biased against black people

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Author: Kara Manke, University of California

October 28, 2019

Health care prediction algorithm biased against black patients, study finds

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Author: Sam Jemielity, UChicago News

October 29, 2019

Healthcare algorithms may be racially biased

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Author: John R. Fischer, HealthCareBusiness

November 05, 2019

Algorithms can spread racial bias in health care

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Author: Amina Khan, The Sentinel

June 01, 2018

"Predictive Modeling of U.S. Health Care Spending in Late Life"

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Author: Einav L, Finkelstein A, Mullainathan S, Obermeyer Z, Science

May 01, 2017

"A Machine Learning Approach to Predicting Short-term Mortality Risk for Patients Starting Chemotherapy"

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Author: Parikh RB, Elfiky A, Pany MJ, Obermeyer Z, Journal of Clinical Oncology

December 01, 2016

"Estimating 1-Year Mortality for High-Risk Primary Care Patients Using the “Surprise” Question"

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Author: Lakin JR, Robinson RG, Bernacki RE, Powers BW, et al., JAMA Internal Medicine