Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Huan-Ju Shih
Observed names:
Huan-ju Shih,
HuanJu Shih
Institution:
George Mason University
Observed institution:
George Mason University
ORCID:
0000-0002-7715-5719
Observed ORCID:
0000-0002-7715-5719
OpenAlex ID:
A5084533015
Rural, Regional, Racial Disparities in Telemedicine Use During the COVID-19 Pandemic Among US Adults: 2021 National Health Interview Survey (NHIS)
2023
·
Jeong-Hui Park
, Min Jee Lee
, et al.
·
Patient Preference and Adherence
·
20
PDF
Gender and racial bias unveiled: clinical artificial intelligence (AI) and machine learning (ML) algorithms are fanning the flames of inequity
2025
·
Ahmed Umar Otokiti
, Huan-ju Shih
, et al.
·
Oxford Open Digital Health
·
18
PDF
Assessing Health Disparities in Digital Services and Technologies During and After the COVID-19 Pandemic: A Pooled Cross-Sectional Analysis Using HINTS Data
2025
·
Huan-Ju Shih
, Hua Min
, et al.
·
Patient Preference and Adherence
·
8
PDF
Informing Patient-Provider Engagement for Shared Decision Making Through Mobile Health Applications
2023
·
Huan-Ju Shih
, Hong Xue
, et al.
·
Patient Preference and Adherence
·
8
PDF
A scoping review of AI/ML algorithm updating practices for model continuity and patient safety using a simplified checklist
2025
·
Ahmed Otokiti
, Huan-ju Shih
, et al.
·
Medical Research Archives
·
1
PDF
Reducing Inpatient Transport Delays: The Right Patient at the Right Time
2024
·
Huan-ju Shih
, Anne Rizzo
, et al.
·
Guthrie Journal
·
1
Trends in Health Information Technology and Data Sources for Autoimmune Care: A Systematic Review (Preprint)
2026
·
Karmen S. Williams
, Huan-ju Shih
, et al.
From Patient–Trial Matching to Real-World Evidence: Year-in-Review for Key Developments in Clinical Research Informatics Background: Clinical Research Informatics (CRI) has evolved rapidly with advances in artificial intelligence (AI), expanding real-world data (RWD) platforms, and equity-focused approaches, yet persistent challenges, such as low participation in clinical trials, remain. In fast-moving fields like CRI, a Year-in-Review (YIR) provides a timely, expert-driven synthesis of recent high-impact contributions, helping the informatics and clinical research communities track emerging methods, infrastructure, and implementation gaps. Objectives: To identify and synthesize recent advances in CRI published between January 2023 and (Preprint)
2026
·
HuanJu Shih
, Barbara-Jo Achuff
, et al.
Simulated Evaluation of Machine Learning Models for Predicting Late-Stage Diagnosis and Mortality in Prostate and Breast Cancer Patients
2026
·
Huan-ju Shih
, Janusz Wojtusiak
·
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
A Scoping Review of AI/ML Algorithm Updating Practices for Model Continuity and Patient Safety Using a Simplified Checklist
2025
·
Ahmed Otokiti
, Huan-ju Shih
, et al.
·
Studies in health technology and informatics
Bringing the Public Health Informatics and Technology Workforce Together: The PHIAT Conference
2024
·
April Moreno Arellano
, Huan-ju Shih
, et al.
·
Online Journal of Public Health Informatics
PDF
Show more works
View as search
Works count:
11
Citation count:
56
H-index:
4
I10-index:
2
Year
Topic
Type
