Mitchell K. Higashi

Health Economics and Outcomes Research (United Kingdom) — United Kingdom

Medicine · Health Sciences

15h-index2.3kcitations48works1.42yr avg
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Research Topics

Lung Cancer Treatments and Mutations(5), Health Systems, Economic Evaluations, Quality of Life(5), Pharmacogenetics and Drug Metabolism(4), Cancer Genomics and Diagnostics(4), Biomedical Text Mining and Ontologies(4)

Publications48 total

A4SLR: An Agentic Artificial Intelligence-Assisted Systematic Literature Review Framework to Augment Evidence Synthesis for Health Economics and Outcomes Research and Health Technology Assessment
Value in Health·2025· 2 cited
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: An ISPOR Working Group Report
Value in Health·2025· 4 cited
ASCOmind: Is instant ASCO abstract analysis possible with AI agents?
Journal of Clinical Oncology·2025
A Taxonomy of Generative Artificial Intelligence in Health Economics and Outcomes Research: An ISPOR Working Group Report
Value in Health·2025· 1 cited
Patient2Trial: From patient to participant in clinical trials using large language models
Informatics in Medicine Unlocked·2025· 3 citedOpen Access
ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: an ISPOR Working Group on Generative AI Report
arXiv (Cornell University)·2024· 2 citedOpen Access
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report
arXiv (Cornell University)·2024Open Access
Unveiling consistency: A large-scale analysis of conference proceedings and subsequent publications in oncology clinical trials using large language models.
Journal of Clinical Oncology·2024· 1 cited
Establishing the Automatic Identification of Clinical Trial Cohorts from Electronic Health Records by Matching Normalized Eligibility Criteria and Patient Clinical Characteristics
Research Square (Research Square)·2024Open Access
MT38 Identifying High Cost and High Mortality Genetic Disease in the NICU
Value in Health·2023
Analysis of real-world data to investigate evolving treatment sequencing patterns in advanced non-small cell lung cancers and their impact on survival
Journal of Thoracic Disease·2023· 3 citedOpen Access
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing
JMIR AI·2023· 8 citedOpen Access
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing (Preprint)
2022Open Access
Treatment Profile of CAR-T Cell Therapy Induced Cytokine Release Syndrome and Neurotoxicity: Insights from Real-World Evidence
Blood·2022· 3 cited
Pediatric Age at Hematopoietic Stem Cell Transplant: Associations with Non-Malignant Genetic Disease and Race
Blood·2022
Seasonal variations of hospitalizations for chronic rhinosinusitis by different endotypes
ISEE Conference Abstracts·2022Open Access
Real-world genetic screening with molecular ancestry supports comprehensive pan-ethnic carrier screening
2022· 1 citedOpen Access
HSD34 Treatment Patterns and Healthcare-Resource Utilization Among Chronic Rhinosinusitis with Nasal Polyps Patients: In the New Era of Biologics
Value in Health·2022· 1 cited
QOPI Clinical Informatics: A digital platform to enable real-time quality reporting, clinical decision support, and rapid learning.
Journal of Clinical Oncology·2022
Health outcomes modelling of RNA-based versus DNA-based detection of driver gene rearrangements in non-small cell lung cancer.
Journal of Clinical Oncology·2022
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Frequent Co-authors

William Oh(12), Tomi Jun(11), Lei Ai(8), Kyeryoung Lee(7), David L. Veenstra(6), Zongzhi Liu(6), Minghao Li(6), Qi Pan(6), Gustavo Stolovitzky(6), Eric E. Schadt(6), Louis P. Garrison(5), Xiaoyan Wang(5), Dalia Dawoud(5), Xiaoyan Wang(5), Eric Schadt(5), Lina Burgos-Liz(4), Maarten J. IJzerman(4), Nathaniel Osgood(4), William V. Padula(4), Kalyan S. Pasupathy(4)