Health Policy News

Featured News

2026 Rosenkranz Symposium: Condoleezza Rice

Global Health's Moment of Reckoning—and Reinvention

Go to Story

Stanford’s Data-Driven Fight Against Modern Slavery in Brazil

Go to Story

Photo of a dark-skinned woman using a pulse oximeter

How a Biased Medical Device Is Widening the Racial Health Gap

Go to Story

News

Perry Nielsen Jr.

Afghanistan

Albania

Algeria

Andorra

Angola

Antigua & Barbuda

Argentina

Armenia

Australia

Austria

Belgium

Belize

Brunei

Canada

Caribbean

China

Denmark

Eastern Europe

Northeast Asia

Azerbaijan

Bahamas

Bahrain

Bangladesh

Benin

Bolivia

Bosnia & Herzegovina

Burma

Central America

Central Europe

Costa Rica

Cyprus

Czech Republic

Estonia

Fiji

Japan

Mexico

Oceania

Portugal

Barbados

Belarus

Bhutan

Botswana

Brazil

Bulgaria

Cambodia

Egypt

El Salvador

Finland

France

Germany

Iberian Peninsula

Kiribati

Mongolia

North America

South Asia

Spain

United States

Burkina Faso

Chile

Croatia

Cuba

East Timor

Georgia

Greece

Guatemala

Hungary

India

Iran

Latvia

Marshall Islands

North Korea

Scandinavia and Baltic Rim

South America

Southeast Asia

Burundi

Colombia

Dominica

Honduras

Iceland

Indonesia

Iraq

Kazakhstan

Kosovo

Liechtenstein

Lithuania

Maldives

Micronesia

South Korea

Western Europe

Cameroon

Dominican Republic

Ecuador

Ireland

Israel

Kyrgyzstan

Laos

Macedonia

Nauru

Nepal

Nicaragua

Norway

Poland

Taiwan

Cape Verde

Grenada

Guyana

Italy

Jordan

Malaysia

Moldova

Montenegro

New Zealand

Pakistan

Panama

Slovakia

Sweden

Central African Republic

Haiti

Kuwait

Luxembourg

Palau

Paraguay

Philippines

Romania

Russia

Slovenia

Sri Lanka

Chad

Jamaica

Lebanon

Malta

Papua New Guinea

Peru

Serbia

Singapore

Switzerland

Tajikistan

Comoros

Libya

Monaco

Samoa

St. Kitts & Nevis

Suriname

Thailand

Turkmenistan

D.R. Congo

Morocco

Netherlands

Solomon Islands

St. Lucia

Ukraine

Uruguay

Vietnam

Congo

Oman

San Marino

St. Vincent & the Grenadines

Tonga

Uzbekistan

Venezuela

Côte d'Ivoire

Qatar

Trinidad & Tobago

Tuvalu

United Kingdom

Djibouti

Saudi Arabia

Vanuatu

Vatican City

Equatorial Guinea

Syria

Eritrea

Tunisia

Ethiopia

Turkey

Gabon

United Arab Emirates

Gambia

Yemen

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mozambique

Namibia

Niger

Nigeria

Rwanda

Säo Tomé & Príncipe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania

Togo

Uganda

Zambia

Zimbabwe

The Americas

Asia-Pacific

Europe

Middle East and North Africa

Russia and Eurasia

Sub-Saharan Africa

2024 MIP Class

Admissions

Aging

Agricultural trade

AHPP Working Paper Series

Alumni

APARC In-House Series

Arms Control

Biofuels

Capstone

CDDRL 20th Anniversary

CDDRL Research in-brief

CDDRL Seminar Write-ups

Children's health

Class of 2024

Class of 2025

Conference Blog

Corruption

Courtesy Faculty

Democracy promotion

Early Childhood Development

Entrepreneurship Inside Government

European Union

GKC

GKC Leadership

Globalization

Graduation

Hacking for Defense (H4D)

Health

Health and the Environment

Hypertension

In the Classroom

Inclusion and Exclusion

Inequality

Infrastructure

International Law

Internship Blog

Israel Fellows

Masters in International Policy

Meet the Class

Migration and Citizenship (Society)

National Security Innovation Scholars

Obesity

Palm Oil

Profile

Race

Rule of Law

SAI

Shorenstein APARC Policy and Working Papers

Smoking

Social Media Lab

Staff

Takedown

Teaching Team

Technology

Technology, Innovation, and Great Power Competition

Vision Care

Agriculture

Agriculture policy

Arms Smuggling

Borders

Cap and Trade

Comparative effectiveness research

Culture

Democracy

Disaster response

Health care institutions

HIV/AIDS

Kyoto Protocol

Population health

State-building

Biosecurity

Business

Demographics

Diabetes

Elections

Health policy

Media

World Bank

Aquaculture

Bioterrorism

Cleantech

Coal

Discrimination

Disease

Health Care Reform

Human Rights

Investment

Military

Protectionism

World Trade Organization

Diplomacy

Economic Affairs

Electricity

Global Health

Homeland Security

Information Technology

Intelligence

NATO

Civil Wars

Climate

Education

Energy and Climate Policy

Ethnicity

Foreign Aid

Health Care

Institutions and Organizations

Negotiation

Climate change

Conflict

Energy Infrastructure

Entrepreneurship

Foreign Policy

Gender

Health Outcomes

Peacekeeping

Policy Analysis

Energy Services

Food Markets

History

Migration and Citizenship

Crime

Cybersecurity

Deforestation

Fossil Fuels

Islam

Nutrition

Trade

Fisheries

Food Security

Public Health

Drug trafficking

Hunger

Natural gas

Publication Series

Shorenstein APARC Studies with Stanford University Press

Innovation

Nuclear Energy

Religion

Nuclear policy

Poverty

Natural Resources

Renewable Resources

Science and Technology

Kidnapping

Oil

Water

Sustainable development

Missiles

Nuclear Risk

Nuclear Safety

Terrorism

Torture convention

Violence

Governance

International Relations

Health and Medicine

International Development

Security

Energy

Environment

Society

Walter H. Shorenstein Asia-Pacific Research Center

Center for Health Policy / Department of Health Policy

Center for International Security and Cooperation

Center on Democracy, Development, and the Rule of Law

Freeman Spogli Institute for International Studies

The Europe Center

Center on Food Security and the Environment

Stanford Center at Peking University

Bechtel Conference Center At Encina Hall

Internal Center (Content Staging)

Cyber Center

Center on China’s Economy and Institutions

Program on Energy and Sustainable Development

Korea Program

Southeast Asia Program

Stanford Program on Regions of Innovation and Entrepreneurship

China Program

Stanford Program on International and Cross-Cultural Education

Global Affiliates Program

Asia Health Policy Program

Program on Human Rights

Rural Education Action Program

Arab Reform and Development Program

Draper Hills Summer Fellows Program

Program on Poverty and Governance

Japan Program

Stanford International Crime and Violence Lab

Austrian and Central European Program

European Governance

Europe and the Global Economy

Migration

France and the Francophone World

Iberian Studies Program

Industrial Affiliates Program

Program on American Democracy in Comparative Perspective

Taiwan Program

GDPI

Student Programs

Global Populisms

Ford Dorsey Master's Program in International Policy

Leadership Academy for Development

Public Problem Solving Program

Internet Observatory Program

Cyber GTG

Mappingmilitants cisac

European Security Initiative

Russian Power and Purpose in the 21st Century

Stanford Impact Labs

Program on Turkey Website

Stanford Existential Risks Initiative

Sipr

REDI

World House

Leadership Network for Change Program

Cyber Test

Governance of Emerging Technologies

Stanford U.S.-Russia Forum

IUC Program

IUC Japan Program

GKC Program

TIP Program

DAL Program

Jan Koum Israel Studies Program

Abstracts

Blogs

Books

Book Chapters

Case Studies

Conference Memos

Commentary

Dissertations

Journal Articles

News

Policy Briefs

Q&As

Testimonies

White Papers

Reports

Working Papers

Annual Reports

Brochures

Newsletters

AI Alone Will Not Reduce the Administrative Burden of Health Care

Commentary November 16, 2023

AI Alone Will Not Reduce the Administrative Burden of Health Care

Commentary November 16, 2023

In this JAMA Network Viewpoint, Stanford Health Policy's Kevin Schulman and Perry Nielsen Jr. look at the impact Large Language Models could have on our complex health-care billing system.

Members of the media should contact Stanford Health Policy Communications Manager Beth Duff-Brown
Voicemail: 650-736-6064

Health Policy News

Featured News

Global Health's Moment of Reckoning—and Reinvention

Stanford’s Data-Driven Fight Against Modern Slavery in Brazil

How a Biased Medical Device Is Widening the Racial Health Gap

Follow Us

AI Alone Will Not Reduce the Administrative Burden of Health Care

AI Alone Will Not Reduce the Administrative Burden of Health Care