Casey Taylor

Early Career Tenure-track Researcher, Johns Hopkins University

2 active projects

Postoperative surgery pain management and recovery

We are exploring the data to identify indicators of postoperative surgery outcomes and preoperative predictors of those outcomes. We will also build predictive models of postoperative outcomes.

Scientific Questions Being Studied

We are exploring the data to identify indicators of postoperative surgery outcomes and preoperative predictors of those outcomes. We will also build predictive models of postoperative outcomes.

Project Purpose(s)

  • Social / Behavioral
  • Methods Development
  • Ancestry

Scientific Approaches

This project will explore the potential to identify indicators of postoperative surgery outcomes and to identify predictors of those outcomes from All of Us data. We plan to use AllofUs EHR data, FitBit data and genotype data for this exploration. If successful, we will build predictive models for various postoperative surgery outcomes (e.g., pain management, recovery time, etc.)

Anticipated Findings

We anticipate demonstrating the value of combining EHR, physical activity monitoring, and genotype data to predict postoperative surgery outcomes.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Casey Taylor - Early Career Tenure-track Researcher, Johns Hopkins University

Healthcare utilization and disparities

Changes in healthcare access and utilization due to the COVID-19 pandemic may have impacted the health of some groups more than others. The goal of this research is to assess if there are associations between changes in healthcare access/utilization during…

Scientific Questions Being Studied

Changes in healthcare access and utilization due to the COVID-19 pandemic may have impacted the health of some groups more than others. The goal of this research is to assess if there are associations between changes in healthcare access/utilization during the pandemic and health disparities.

Project Purpose(s)

  • Population Health

Scientific Approaches

To detect associations between healthcare access/utilization and health disparities, we will use EHR data and survey data. We will assess changes in health care access/utilization using data from the Health Care Access & Utilization survey. We will explore health disparity outcomes using EHR data and data from the COPE survey. We will also use data from the The Basics survey in order to understand factors that moderate associations we detect.

Anticipated Findings

We anticipate detecting potential health disparities due to changes in healthcare access/utilization during the pandemic that occur disproportionately in some groups over others. This work will contribute to health disparities research by investigating change in healthcare access/utilization as a mechanism underlying disparities.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Casey Taylor - Early Career Tenure-track Researcher, Johns Hopkins University
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