Hon-Yi Shi | Cost Effectiveness Analysis | Best Researcher Award

Prof. Hon-Yi Shi | Cost Effectiveness Analysis | Best Researcher Award

Kaohsiung Medical University | Taiwan

Author Profile

Scopus

Early Academic Pursuits

Prof. Hon-Yi Shi laid a strong foundation in the field of healthcare administration and health economics, building expertise in cost-effectiveness analysis, econometrics, and health outcomes assessment. His early academic interests centered on exploring healthcare resource utilization and patient outcomes, which later evolved into a specialized focus on applying advanced statistical and computational techniques, such as machine learning, to medical outcome predictions.

Professional Endeavors

Beginning his academic career as an Assistant Professor in 2006 at Kaohsiung Medical University, Prof. Shi steadily advanced to Associate Professor in 2010 and achieved the rank of Professor in 2013, a position he continues to hold. Alongside teaching and research, he has played significant editorial roles, serving on the advisory boards of leading journals such as the Journal of Healthcare Management, Journal of Health Management, and the World Journal of Gastrointestinal Surgery. These positions highlight his influence in shaping healthcare research and policy discourse.

Contributions and Research Focus

Prof. Shi’s research has been marked by an impressive portfolio of funded projects spanning nearly two decades. His contributions focus heavily on cost-effectiveness analysis, patient quality of life, and healthcare policy evaluation across diverse medical conditions, including cancer, stroke, diabetes, and joint replacement surgeries. He has led pioneering projects integrating time series analysis, Markov modeling, and machine learning to forecast outcomes, assess treatment effectiveness, and guide evidence-based healthcare decision-making. His role as Principal Investigator in multiple large-scale studies-funded by prestigious bodies such as the National Science Council and Ministry of Science and Technology—underscores his leadership in advancing medical and health economics research.

Impact and Influence

The scope of Prof. Shi’s research demonstrates both national and international relevance. His systematic reviews, meta-analyses, and prospective cohort studies have not only contributed to academic literature but also provided practical insights into healthcare resource allocation, patient-centered outcomes, and cost-effective policy design. By bridging healthcare management and computational modeling, his work has influenced both the academic community and healthcare providers in adopting data-driven approaches.

Academic Citations and Recognition

Prof. Shi’s consistent publication record and service on editorial boards have earned him significant recognition in the academic community. His research contributions, particularly in cost-effectiveness analysis and health outcomes, continue to be widely cited in healthcare economics and policy studies. His long-standing involvement in peer-reviewed journals demonstrates his active role in knowledge dissemination and mentorship within the academic community.

Legacy and Future Contributions

Looking ahead, Prof. Shi’s ongoing projects highlight his forward-thinking vision in applying machine learning and deep learning algorithms to predict long-term outcomes, hospital readmissions, and quality of life among patients with cancer, stroke, and other chronic conditions. His latest projects-such as forecasting complications in joint arthroplasty and evaluating robotic versus laparoscopic surgeries-demonstrate his commitment to improving patient care through innovative modeling and cost-effectiveness frameworks. His future legacy will likely lie in advancing interdisciplinary healthcare research, integrating AI, clinical outcomes, and health economics into a holistic model of sustainable healthcare improvement.

Conclusion

Prof. Hon-Yi Shi stands as a distinguished scholar whose career exemplifies dedication to healthcare research, innovation, and policy relevance. Through his extensive contributions in cost-effectiveness analysis, patient outcomes research, and machine learning applications, he has established himself as a leading figure in healthcare economics and management. His journey from early academic pursuits to becoming a renowned professor and research leader reflects both scholarly excellence and societal impact, ensuring that his work will continue to guide the future of evidence-based healthcare decision-making.

Notable Publications

"Clinical outcomes and cost-utility analysis of GKRS plus TKIs versus TKIs in patients with EGFR-mutant lung adenocarcinoma and brain metastases: a Markov decision model

  • Author: Liu SA, Lee CC, Yang HC, Huang WL, Huang YH, Chung WY, Shi HY
  • Journal: J Neurosurg
  • Year: 2025

"Impact of Post-Acute Care on Depression and Anxiety in Patients With Stroke: Cognitive Function as a Mediator and Moderator

  • Author: Lou SJ, Lin HF, Sheu CC, Hsu HY, Shi HY
  • Journal: Asian J Soc Health Behav
  • Year: 2025

"Quality of Life and Minimal Clinically Important Difference in Colorectal Cancer Patients Undergoing HIPEC: A Large Prospective Cohort Study

  • Author: Chiu CC, Hsieh MC, Wang GL, Shi HY
  • Journal: Ann Surg Oncol
  • Year: 2025

"Clinical Efficacy and Cost Effectiveness of SGLT2i in Diabetic Nephropathy: A Large Population-based Study

  • Author: Wang HH, Chiu YW, Chung CY, Liao YM, Lee YH, Kuo HM, Shi HY
  • Journal: Diabetes Res Clin Pract
  • Year: 2025

"Cost-Utility Analysis of Tenofovir Alafenamide and Entecavir in Chronic Hepatitis B Patients: A Markov Decision Model

  • Author: Lai CH, Shi HY,* Tsai CE, Yang YC, Chiu SF
  • Journal: Cancers (Basel)
  • Year: 2024

Jing Dong| molecular epidemiology | Best Researcher Award

Jing Dong| molecular epidemiology | Best Researcher Award

Assistant Professor,Medical College of Wisconsin, United States📖

Dr. Jing Dong is an Assistant Professor at the Medical College of Wisconsin, specializing in molecular epidemiology. With expertise in studying the molecular mechanisms of diseases, Dr. Dong has made significant contributions to understanding disease prevention and public health. Her outstanding research work has earned her the Best Researcher Award, recognizing her innovative approaches and impactful findings in the field.

Profile

Google Scholar

Education Background🎓

Jing Dong, PhD, completed his Bachelor of Science degree at Nanjing Medical University in Jiangsu, China, from 2002 to 2007. He then pursued his PhD in Medical Sciences at the same institution, graduating in 2012.Dr. Dong’s academic career includes postdoctoral fellowships at prestigious institutions. From 2012 to 2017, he was a Postdoctoral Fellow at the Branch of Epidemiology, NIEHS/NIH, in Research Triangle Park, NC. Following this, he served as a Cancer Prevention and Research Institute of Texas (CPRIT) Postdoctoral Associate at the Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, in Houston, TX, from 2017 to 2020.

Professional Experience🌱

In 2020, Dr. Dong was appointed as an Assistant Professor in the Division of Hematology and Oncology at the Medical College of Wisconsin (MCW). He has also held roles in various collaborative initiatives such as the Community and Cancer Science Network (CCSN) and the Milwaukee Lung Cancer Collaborative Work Group. Additionally, he became a faculty member of the MCW Graduate School in 2023, qualifying as a Primary Master’s Thesis Mentor in the Precision Medicine program.

Research Interests🔬

Dr. Dong’s research primarily focuses on cancer genomics, health disparities in cancer, and the genetic underpinnings of multiple myeloma and other hematologic malignancies. His work aims to uncover genetic factors contributing to cancer progression, particularly in underrepresented populations such as African Americans. He also investigates the role of mitochondrial DNA in cancer and transplant outcomes, as well as improving precision medicine through genetic data analysis.

Awards & Honors:

Throughout his career, Dr. Dong has received multiple accolades, including the IARC/WHO Summer Fellowship in Cancer Epidemiology (2010), the CPRIT-awarded Postdoctoral Associate (2017), and the Medical College of Wisconsin Cancer Center Scientific Retreat Best Poster Award (2022). He also received the Faculty Development Award from the Department of Medicine at MCW in 2023.

Skills:

Dr. Dong is highly skilled in epidemiology, cancer genomics, and bioinformatics. He has expertise in conducting large-scale genomic studies, utilizing bioinformatic tools for data analysis, and mentoring graduate students and postdoctoral fellows in cancer research. His technical skills include genomic data analysis, genetic epidemiology, and advanced statistical methods for cancer research. He is also proficient in collaborating across interdisciplinary teams, fostering significant advancements in cancer biology and treatment strategies.

Publications Top Notes 📄

1.

  • Excessive burden of lysosomal storage disorder gene variants in Parkinson’s disease
    • Authors: LA Robak, IE Jansen, J Van Rooij, AG Uitterlinden, R Kraaij, J Jankovic, et al.
    • Journal: Brain
    • Volume: 140 (12), Pages: 3191-3203
    • Year: 2017
    • Citations: 420
  • Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia
    • Authors: Q Lan, CA Hsiung, K Matsuo, YC Hong, A Seow, Z Wang, HD Hosgood III, et al.
    • Journal: Nature Genetics
    • Volume: 44 (12), Pages: 1330-1335
    • Year: 2012
    • Citations: 346
  • A genome-wide association study identifies new susceptibility loci for non-cardia gastric cancer at 3q13.31 and 5p13.1
    • Authors: Y Shi, Z Hu, C Wu, J Dai, H Li, J Dong, M Wang, X Miao, Y Zhou, F Lu, et al.
    • Journal: Nature Genetics
    • Volume: 43 (12), Pages: 1215-1218
    • Year: 2011
    • Citations: 313
  • Early second-trimester serum miRNA profiling predicts gestational diabetes mellitus
    • Authors: C Zhao, J Dong, T Jiang, Z Shi, B Yu, Y Zhu, D Chen, J Xu, R Huo, J Dai, et al.
    • Journal: PloS One
    • Volume: 6 (8), Article e23925
    • Year: 2011
    • Citations: 291
  • Serum microRNA profiling and breast cancer risk: the use of miR-484/191 as endogenous controls
    • Authors: Z Hu, J Dong, LE Wang, H Ma, J Liu, Y Zhao, J Tang, X Chen, J Dai, et al.
    • Journal: Carcinogenesis
    • Volume: 33 (4), Pages: 828-834
    • Year: 2012
    • Citations: 257
  • Plasma miRNAs as early biomarkers for detecting hepatocellular carcinoma
    • Authors: Y Wen, J Han, J Chen, J Dong, Y Xia, J Liu, Y Jiang, J Dai, J Lu, G Jin, et al.
    • Journal: International Journal of Cancer
    • Volume: 137 (7), Pages: 1679-1690
    • Year: 2015
    • Citations: 241
  • Seminal plasma microRNAs: potential biomarkers for spermatogenesis status
    • Authors: W Wu, Z Hu, Y Qin, J Dong, J Dai, C Lu, W Zhang, H Shen, Y Xia, X Wang
    • Journal: Molecular Human Reproduction
    • Volume: 18 (10), Pages: 489-497
    • Year: 2012
    • Citations: 161
  • Genome-wide microRNA expression profiling in idiopathic non-obstructive azoospermia: significant up-regulation of miR-141, miR-429, and miR-7-1-3p
    • Authors: W Wu, Y Qin, Z Li, J Dong, J Dai, C Lu, X Guo, Y Zhao, Y Zhu, W Zhang, et al.
    • Journal: Human Reproduction
    • Volume: 28 (7), Pages: 1827-1836
    • Year: 2013
    • Citations: 160
  • Association analyses identify multiple new lung cancer susceptibility loci and their interactions with smoking in the Chinese population
    • Authors: J Dong, Z Hu, C Wu, H Guo, B Zhou, J Lv, D Lu, K Chen, Y Shi, M Chu, et al.
    • Journal: Nature Genetics
    • Volume: 44 (8), Pages: 895-899
    • Year: 2012
    • Citations: 156
  • Alcohol, smoking, and risk of oesophago-gastric cancer
    • Authors: J Dong, AP Thrift
    • Journal: Best Practice & Research Clinical Gastroenterology
    • Volume: 31 (5), Pages: 509-517
    • Year: 2017
    • Citations: 151

Conclusion

Dr. Jing Dong’s exceptional research expertise, leadership, mentorship, and dedication to addressing cancer health disparities make him an ideal candidate for the Best Researcher Award. His multifaceted approach to scientific inquiry and his consistent track record of high-impact publications and presentations establish him as a standout figure in his field. With further emphasis on translational research and broader public engagement, Dr. Dong has the potential to make even more profound contributions to both scientific discovery and patient care.