Health Outcomes Research and Clinical Epidemiology Section

The theme of the Health Outcomes Research and Clinical Epidemiology Section is that of medical decision making. We strive to conduct analyses that impact how physicians should make decisions with individual patients. Typically these analyses take the form of prediction model development and validation, health-related quality of life assessment instrument development and validation, and cost effectiveness analysis. We feel these are the approaches best suited for the promotion of personalized medicine and comparative effectiveness.

Our faculty members have diverse interests.  Each is described below.

Jarrod Dalton is a statistical bioinformaticist who specializes in machine learning approaches to medical decision support. His interests span a wide range of applications in clinical and translational medicine but generally involve interdisciplinary modeling efforts to combine information from accumulated scientific research findings and electronic health record data to better inform everyday decisions shared between doctors and patients. He is working on developing practical tools for efficient and scalable implementation of probabilistic graphical models in the health care setting, including Bayesian network models for directed networks and systems, Markov random field models for undirected graphs (e.g., social networks), and decision networks for studies in health economics.

Michael Kattan is an outcomes research scientist with experience in statistical prediction model development and assessment.  His work has led to a platform that allows statisticians to deploy their models online without needing to be sophisticated web programmers.  One can sign up to be a prediction model author at http://makercalc.ccf.org.  Our Cleveland Clinic prediction models are listed at http://rcalc.ccf.org.  Much of this work is done by team members Changhong Yu, Kevin Chagin, Lei Kou, and Lu Wang.

Jesse Schold is a statistician and health services researcher. His interests include population studies, models for evaluating quality of care of healthcare providers, healthcare policy, access to care and models to inform individual decision-making. His work has generally been in the context of organ transplantation and end-organ disease and works with several national disease registries.