Harvard Pilgrim Health Care

Ethical practice in Telehealth and Telemedicine

Danielle Hahn Chaet, Ron Clearfield, James E. Sabin et al.

2017 · 326 Zit.

Using Machine Learning to Identify Health Outcomes from Electronic Health Record Data

Jenna Wong, Mara E. Murray Horwitz, Li Zhou et al.

2018 · 117 Zit.

Use of Generative AI for Mental Health Advice Among US Adolescents and Young Adults

Ryan K. McBain, Robert Bozick, Melissa Kay Diliberti et al.

2025 · 25 Zit.

Evaluating large language model performance to support the diagnosis and management of patients with primary immune disorders

Nicholas L. Rider, Yingya Li, Aaron Chin et al.

2025 · 12 Zit.

Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease

Joshua Smith, Brian D. Williamson, David Cronkite et al.

2023 · 10 Zit.

Adoption of Artificial Intelligence in the Health Care Sector

Thủy Nguyễn, Christopher Whaley, Kosali Simon et al.

2025 · 5 Zit.

Flying Into the Future With Large Language Models

Sanjat Kanjilal

2023 · 5 Zit.

The Role of Health Data Utilities in Supporting Health AI

Ahmad Alkasir, Gabriel Seidman, Jolie Ritzo et al.

2024 · 3 Zit.

Finding a constrained number of predictor phenotypes for multiple outcome prediction

Jenna Reps, Jenna Wong, Egill A. Friðgeirsson et al.

2025 · 2 Zit.

PBI40 ICD-9 TO ICD-10 MAPPING FOR RESEARCH IN BIOLOGICS AND BIOSIMILARS USING ADMINISTRATIVE HEALTHCARE DATA

Mengdong He, Adrian J. Santiago Ortiz, N. Justin Marshall et al.

2019 · 2 Zit.

Blockchain in Health - From Pilots to Mainstream and Implications for AI

Sathya Krishnasamy, Badri Narayanan, Atul Apte et al.

2024 · 0 Zit.

Balancing Innovation in Artificial Intelligence With Practical Sepsis Definitions

Chanu Rhee, Michael Klompas

2025 · 0 Zit.

Evidence on the Utility and Limitations to Using AI for Personalized Drug Safety Prediction

Jason C. Hsu, Christine Y. Lu

2022 · 0 Zit.

A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data

Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.

2025 · 0 Zit.

A Systematic Process for Assessing Fitness‐for‐Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record Data

Nicole M. Gatto, David Cronkite, Paige D. Wartko et al.

2026 · 0 Zit.