Research Projects Directory

Research Projects Directory

14,848 active projects

This information was updated 12/26/2024

The Research Projects Directory includes information about all projects that currently exist in the Researcher Workbench to help provide transparency about how the Workbench is being used. Each project specifies whether Registered Tier or Controlled Tier data are used.

Note: Researcher Workbench users provide information about their research projects independently. Views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program. Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

2 projects have 'Long-COVID AoU Project' in the project title
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Duplicate of Long-COVID AoU Project

1. Develop novel software tools to identify long COVID patients from EHR and integrate EHR, survey, and wearable sensor data for these patients. 2. Study the relationships between digital biomarkers from wearable sensor related to long COVID and the rate…

Scientific Questions Being Studied

1. Develop novel software tools to identify long COVID patients from EHR and integrate EHR, survey, and wearable sensor data for these patients.
2. Study the relationships between digital biomarkers from wearable sensor related to long COVID and the rate of long COVID complications in the EHR

Project Purpose(s)

  • Disease Focused Research (long COVID)
  • Methods Development

Scientific Approaches

Data integration, Result interpretation and statistical analysis and correlation between long COVID biomarkers and complications in EHR will be used. EHR data, wearable sensor data, and survey data from AoU will be used for this study

Anticipated Findings

We anticipate to provide a set of tools for future EHR data analysis in the AoU workbench and our findings can contribute to assessing the risk of long COVID.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Kalyani Kottilil - Project Personnel, Scripps Research

Long-COVID AoU Project

1. Develop novel software tools to identify long COVID patients from EHR and integrate EHR, survey, and wearable sensor data for these patients. 2. Study the relationships between digital biomarkers from wearable sensor related to long COVID and the rate…

Scientific Questions Being Studied

1. Develop novel software tools to identify long COVID patients from EHR and integrate EHR, survey, and wearable sensor data for these patients.
2. Study the relationships between digital biomarkers from wearable sensor related to long COVID and the rate of long COVID complications in the EHR

Project Purpose(s)

  • Disease Focused Research (long COVID)
  • Methods Development

Scientific Approaches

Data integration, Result interpretation and statistical analysis and correlation between long COVID biomarkers and complications in EHR will be used. EHR data, wearable sensor data, and survey data from AoU will be used for this study

Anticipated Findings

We anticipate to provide a set of tools for future EHR data analysis in the AoU workbench and our findings can contribute to assessing the risk of long COVID.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Kalyani Kottilil - Project Personnel, Scripps Research
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