Artificial Intelligence in Health Economics and Outcomes Research: Highlighting the Contributions of Early Career Researchers

Abstract

For 60 years, the PhRMA Foundation has supported promising early career researchers through its grants and fellowships. Through our Challenge Award competitions with journals like Value in Health, we strive to encourage and amplify the voices of early career investigators in important areas of research.

The PhRMA Foundation’s expert review committee selected 4 papers in this themed section for a US$5000 Trainee Challenge Award. These trainee first authors are future leaders in health economics and outcomes research, and the Foundation is pleased to recognize their expertise in tackling such a pressing and challenging topic. Below is a list of the 4 award-winning papers:

Unravelling Public Preferences for the Use of Artificial Intelligence Mobile Health Applications in Australia. Vinh Vo, MEPP, Maame E. Woode, PhD, Stacy M. Carter, PhD, Chris Degeling, PhD, Gang Chen, PhD

Roles of AI-Based Synthetic Data in Health Economics and Outcomes Research. Tim C. Lai, BS, and Surachat Ngorsuraches, PhD

Use of Large Language Models to Extract Cost-Effectiveness Analysis Data: A Case Study. Xujun Gu, MSPH, Hanwen Zhang, MS, Divya Patil, MS, Zafar Zafari, PhD, Julia Slejko, PhD, Eberechukwu Onukwugha, PhD

Role of Generative Artificial Intelligence in Assisting Systematic Review Process in Health Research: A Systematic Review, Muhammed Rashid, PhD, Cheng Su Yi, MHS, Thipsukhon Sathapanasiri, MD, Sariya Udayachalerm, PhD, Kansak Boonpattharatthiti, PharmD, Suppachai Insuk, PharmD, Sajesh K Veettil, PhD, Nai Ming Lai, MBBS, Nathorn Chaiyakunapruk, PhD, Teerapon Dhippayom, PhD, for the Generative Artificial Intelligence for Navigating Systematic Reviews (GAINSR) working group

Authors

Amy M. Miller Emily Ortman

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