Healthcare Economics & Health-Tech

Evaluate healthcare interventions and predict clinical outcomes • 26 papers

7 subtopics

Health Economics Foundations

Understand why healthcare markets differ from others

Uncertainty and the Welfare Economics of Medical Care [Kenneth J. Arrow]
1963 4160 cited

Uncertainty and the Welfare Economics of Medical Care

[Kenneth J. Arrow]

On the Concept of Health Capital and the Demand for Health [Michael Grossman]
1972 5443 cited

On the Concept of Health Capital and the Demand for Health

[Michael Grossman]

Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment [Willard G. Manning Joseph P. Newhouse Naihua Duan Emmett B. Keeler Arleen Leibowitz M. Susan Marquis]
1987 2083 cited

Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment

[Willard G. Manning Joseph P. Newhouse Naihua Duan Emmett B. Keeler Arleen Leibowitz M. Susan Marquis]

Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information [Michael Rothschild Joseph Stiglitz]
1976 4960 cited

Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information

[Michael Rothschild Joseph Stiglitz]

Adverse Selection in Health Insurance [David M. Cutler Sarah J. Reber]
1998 14 cited

Adverse Selection in Health Insurance

[David M. Cutler Sarah J. Reber]

Selection in Insurance Markets: Theory and Empirics in Pictures [Liran Einav Amy Finkelstein]
2011 333 cited

Selection in Insurance Markets: Theory and Empirics in Pictures

[Liran Einav Amy Finkelstein]

Healthcare Experiments & Natural Experiments

Design experiments to evaluate health policy effects

The Oregon Health Insurance Experiment: Evidence from the First Year [Amy Finkelstein Sarah Taubman Bill Wright Mira Bernstein Jonathan Gruber Joseph P. Newhouse Heidi Allen Katherine Baicker]
2012 1595 cited

The Oregon Health Insurance Experiment: Evidence from the First Year

[Amy Finkelstein Sarah Taubman Bill Wright Mira Bernstein Jonathan Gruber Joseph P. Newhouse Heidi Allen Katherine Baicker]

The Oregon Experiment — Effects of Medicaid on Clinical Outcomes [Katherine Baicker Sarah Taubman Heidi Allen Mira Bernstein Jonathan Gruber Joseph P. Newhouse Eric Schneider Bill Wright Alan Zaslavsky Amy Finkelstein]
2013 1115 cited

The Oregon Experiment — Effects of Medicaid on Clinical Outcomes

[Katherine Baicker Sarah Taubman Heidi Allen Mira Bernstein Jonathan Gruber Joseph P. Newhouse Eric Schneider Bill Wright Alan Zaslavsky Amy Finkelstein]

The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare [David Card Carlos Dobkin Nicole Maestas]
2008 700 cited

The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare

[David Card Carlos Dobkin Nicole Maestas]

Hospital & Provider Economics

Analyze hospital competition and market power

Competition in Health Care Markets [Martin Gaynor Robert Town]
2011 80 cited

Competition in Health Care Markets

[Martin Gaynor Robert Town]

The Price Ain't Right? Hospital Prices and Health Spending on the Privately Insured [Zack Cooper Stuart V. Craig Martin Gaynor John Van Reenen]
2019 522 cited

The Price Ain't Right? Hospital Prices and Health Spending on the Privately Insured

[Zack Cooper Stuart V. Craig Martin Gaynor John Van Reenen]

Are Health Insurance Markets Competitive? [Leemore Dafny]
2010 174 cited

Are Health Insurance Markets Competitive?

[Leemore Dafny]

Digital Health & Telemedicine

Evaluate the economics of digital health interventions

HITECH at 10 Years — What Have We Achieved? [Julia Adler-Milstein Ashish K. Jha]
2017 343 cited

HITECH at 10 Years — What Have We Achieved?

[Julia Adler-Milstein Ashish K. Jha]

The Effects of Health Information Technology on the Costs and Quality of Medical Care [Leila Agha]
2014 56 cited

The Effects of Health Information Technology on the Costs and Quality of Medical Care

[Leila Agha]

Trends in Ambulatory Care Visits During the COVID-19 Pandemic: A National Study of 16.7 Million Individuals [Sadiq Y. Patel Ateev Mehrotra Haiden A. Huskamp Lori Uscher-Pines Ishani Ganguli Michael Lawrence Barnett]
2021 300 cited

Trends in Ambulatory Care Visits During the COVID-19 Pandemic: A National Study of 16.7 Million Individuals

[Sadiq Y. Patel Ateev Mehrotra Haiden A. Huskamp Lori Uscher-Pines Ishani Ganguli Michael Lawrence Barnett]

Do mHealth Applications Improve Clinical Outcomes of Patients with Cancer? A Critical Appraisal of the Literature [Santino J. Iribarren Kasey Cato Louise Falzon Patricia W. Stone]
2017 90 cited

Do mHealth Applications Improve Clinical Outcomes of Patients with Cancer? A Critical Appraisal of the Literature

[Santino J. Iribarren Kasey Cato Louise Falzon Patricia W. Stone]

Healthcare AI & Clinical Machine Learning

Build clinical prediction models and avoid algorithmic bias

Scalable and Accurate Deep Learning with Electronic Health Records [Alvin Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj Michaela Hardt Peter J. Liu Xiaobing Liu Jake Marcus Mimi Sun Patrik Sundberg Hector Yee Kun Zhang Yi Zhang Gerardo Flores Gavin E. Duggan Jamie Irvine Quoc Le Kurt Litsch Alexander Mossin Justin Tansuwan De Wang James Wexler Jimbo Wilson Dana Ludwig Samuel L. Volchenboum Katherine Chou Michael Pearson Srinivasan Madabushi Nigam H. Shah Atul J. Butte Michael D. Howell Claire Cui Greg S. Corrado Jeffrey Dean]
2018 2088 cited

Scalable and Accurate Deep Learning with Electronic Health Records

[Alvin Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj Michaela Hardt Peter J. Liu Xiaobing Liu Jake Marcus Mimi Sun Patrik Sundberg Hector Yee Kun Zhang Yi Zhang Gerardo Flores Gavin E. Duggan Jamie Irvine Quoc Le Kurt Litsch Alexander Mossin Justin Tansuwan De Wang James Wexler Jimbo Wilson Dana Ludwig Samuel L. Volchenboum Katherine Chou Michael Pearson Srinivasan Madabushi Nigam H. Shah Atul J. Butte Michael D. Howell Claire Cui Greg S. Corrado Jeffrey Dean]

Machine Learning in Medicine [Alvin Rajkomar Jeffrey Dean Isaac Kohane]
2019 3269 cited

Machine Learning in Medicine

[Alvin Rajkomar Jeffrey Dean Isaac Kohane]

Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations [Ziad Obermeyer Brian Powers Christine Vogeli Sendhil Mullainathan]
2019 4979 cited

Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations

[Ziad Obermeyer Brian Powers Christine Vogeli Sendhil Mullainathan]

Dermatologist-level Classification of Skin Cancer with Deep Neural Networks [Andre Esteva Brett Kuprel Roberto A. Novoa Justin Ko Susan M. Swetter Helen M. Blau Sebastian Thrun]
2017 12511 cited

Dermatologist-level Classification of Skin Cancer with Deep Neural Networks

[Andre Esteva Brett Kuprel Roberto A. Novoa Justin Ko Susan M. Swetter Helen M. Blau Sebastian Thrun]

Medical Technology & Health Technology Assessment

Assess whether medical technologies are worth their costs

Is Technological Change in Medicine Worth It? [David M. Cutler Mark McClellan]
2001 876 cited

Is Technological Change in Medicine Worth It?

[David M. Cutler Mark McClellan]

Technology Diffusion and Productivity Growth in Health Care [Jonathan Skinner Douglas Staiger]
2007 180 cited

Technology Diffusion and Productivity Growth in Health Care

[Jonathan Skinner Douglas Staiger]

Estimation of US Health Opportunity Costs [David J. Vanness James F. Lomas Hua Zhu Behrouz Mehdizadeh Karl Claxton]
2020 199 cited

Estimation of US Health Opportunity Costs

[David J. Vanness James F. Lomas Hua Zhu Behrouz Mehdizadeh Karl Claxton]

Causal Inference Methods for Health Research

Apply rigorous causal methods to health research

Causal Inference: What If [Miguel A. Hernán James M. Robins]
2020 3000 cited

Causal Inference: What If

[Miguel A. Hernán James M. Robins]

Regression Discontinuity Designs Are Underutilized in Medicine, Epidemiology, and Public Health: A Review of Current and Best Practice [Emily Moscoe Heather Bor Till Bärnighausen]
2015 29 cited

Regression Discontinuity Designs Are Underutilized in Medicine, Epidemiology, and Public Health: A Review of Current and Best Practice

[Emily Moscoe Heather Bor Till Bärnighausen]

Using Differences in Knowledge Across Neighborhoods to Uncover the Impacts of the EITC on Earnings [Raj Chetty John N. Friedman Emmanuel Saez]
2013 495 cited

Using Differences in Knowledge Across Neighborhoods to Uncover the Impacts of the EITC on Earnings

[Raj Chetty John N. Friedman Emmanuel Saez]

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