Christopher Longhurst

Clinical Professor

University of California, San Diego

United States

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Christopher Longhurst is a Clinical Professor at UC San Diego in the United States. His research focuses on the intersection of artificial intelligence and healthcare, as evidenced by his recent articles on AI's effectiveness in clinical settings and its implications for patient communications. Additionally, he explores innovative approaches to healthcare delivery, including virtual care transitions and student mental health solutions.

Articles (21)

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Collaborators (9)

Lina Lander

Associate Dean, Education Technology

UC San Diego Health System

UNITED STATES

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Robert Owens

University of California

UNITED STATES

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Karandeep Singh

Assistant Professor

University of Michigan

UNITED STATES

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Ming Tai-Seale

UNITED STATES

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Camille Nebeker

Associate Professor

University of California, San Diego

UNITED STATES

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Eliah S. Aronoff-Spencer

University of California

UNITED STATES

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Anne Duffy

Professor

Queen's University

CANADA

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Gabriel Wardi

University of California, San Diego

UNITED STATES

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Mark Handcock

Distinguished Professor of Statistics

University of California, Los Angeles

UNITED STATES

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Christopher Longhurst

Research Interests

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Articles (21)

A Human-Centered Approach for a Student Mental Health and Well-Being Mobile App: Protocol for Development, Implementation, and Evaluation

Unreasonable effectiveness of training AI models locally

Virtual Transition of Care Clinics and Associated Readmission Rates: 3-Year Retrospective Cohort Study

A Call for Disclosure When Using AI for Patient Communications

Will AI Make the Electronic Health Record More Efficient for Clinicians?

Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival

Impact of a deep learning sepsis prediction model on quality of care and survival

The Long Haul to Surgery: Long COVID Has Minimal Burden on Surgical Departments

A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness

The Chief Health AI Officer — An Emerging Role for an Emerging Technology

Hospitalists outside the hospital: Preparing for new settings of care delivery

Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting

Developing a highly‐reliable learning health system

Lessons Learned From Digital Vaccine Records During a Pandemic

Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study

Bending the patient safety curve: how much can AI help?

Resurgence of SARS-CoV-2 Infection in a Highly Vaccinated Health System Workforce

Implementation of Patient Engagement Tools in Electronic Health Records to Enhance Patient-Centered Communication: Protocol for Feasibility Evaluation and Preliminary Results

Relation of prior statin and anti-hypertensive use to severity of disease among patients hospitalized with COVID-19: Findings from the American Heart Association’s COVID-19 Cardiovascular Disease Registry

The Impact of Inpatient Telemedicine on Personal Protective Equipment Savings During the COVID-19 Pandemic: Cross-sectional Study

SARS-CoV-2 Infection after Vaccination in Health Care Workers in California

Collaborators (9)

Lina Lander

Robert Owens

Karandeep Singh

Ming Tai-Seale

Camille Nebeker

Eliah S. Aronoff-Spencer

Anne Duffy

Gabriel Wardi

Mark Handcock

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