Chin Hur, MD, MPH

Research Plan: Chin Hur, MD, MPH

Overview

The overarching goal of my research as a physician-scientist is to improve clinical care for patients with cancer and to improve cancer control on a population level. I propose to achieve this goal by performing analyses that leverage the diverse health outcomes methods and techniques that my research team and I have gained expertise in.

Current NIH-funded research projects include:

• Esophageal Adenocarcinoma Model (EACMo)

We have developed a microsimulation policy model of esophageal cancer and published extensively using it to guide and optimize the prevention and management of this cancer. EACMo is also one of the simulation models in the National Cancer Institute’s CISNET comparative modeling consortium. Dr. Hur serves as the contact and coordinating PI for the esophageal cancer group. 

• Pancreatic Cancer Treatment Model

The purpose of this project is to personalize the treatment of pancreatic cancer, balancing the potential benefits of therapies against the complications, toxicities and morbidities associated with more aggressive treatment plans. 

Stroke Model 

We have developed and analyzed a model of stroke including a mobile phone application to help paramedics determine which medical center to take

Fatty Liver Projects

Analyses including the assessing the cost-effectiveness of screening for fatty liver in diabetic patients, and determining the cost-effectiveness of bariatric surgery to prevent liver related deaths.

Obesity Management

We have performed modeling analyses to assess the cost-effectiveness of bariatric surgery in adolescents who are severely obese, as well as compared the effectiveness of various pharmacologic therapies again lifestyle interventions. 

Eosinophilic Esophagitis (EoE) Modeling

We have created an Eosinophilic Esophagitis model to study a clinical area of medicine that is difficult for patients.  We utilized our model of EoE to study the optimal approach to the elimination diet largely from a patient perspective.

Summary

In summary, I have applied numerous health outcomes research techniques such as simulation modeling and decision analytic methodologies to perform analyses in esophageal, pancreatic and other cancers. My future research will continue this work in gastrointestinal cancer, and with the appropriate collaborators, expand to other cancer sites and medical conditions. My research team’s growing research experience in data analytics and advanced machine learning methods to develop clinical prediction rules will be an area of future focus; this type of research also provides a good interface for collaborative work with wet lab investigators focusing on biomarker discovery.

Learn more about Health Innovation Research and Evaluation (HIRE).