Robert Cronin

Early Career Tenure-track Researcher, Vanderbilt University Medical Center

2 active projects

Duplicate of Demo Project - Family History in EHR & PPI Data

As a demonstration project, this study will summarize structured data elements available in the All of Us registered tier and compare to published survey results to describe data for reuse in disease specific outcomes. Specific questions include: 1. Could harnessing…

Scientific Questions Being Studied

As a demonstration project, this study will summarize structured data elements available in the All of Us registered tier and compare to published survey results to describe data for reuse in disease specific outcomes. Specific questions include:

1. Could harnessing informatics tools like predictive modeling and clinical decision support to detect and alert healthcare providers to these preventative measures significantly improve the precise care we deliver to patients?
2. How can one evaluate the availability of family medical history information within the All of Us registered tier data and characterize the structured data elements from both data sources?

Project Purpose(s)

  • Methods Development
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)

Scientific Approaches

We utilize the Family Medical History PPI survey to capture self-reported information but exclude participants who did not know any of their family history or who skipped every survey question. We pay particular attention to the disease/relative pairings that map to the American College of Medical Genetics and Genomics’ (ACMG) list of important diseases.

We define EHR family history information as the collection of registered tier observations with "family+history" or "FH:" anywhere in their OMOP concept name. We exclude observations of “Family social history” and remove duplicate observation and value concept pairings from the same healthcare organization regarding the same participant as these were likely due to repeated entries across multiple routine annual physical exams.

We aim to compare the data sources by summarizing the type and amount of family history information gained.

Anticipated Findings

This description of the family medical history data in the All of Us registered tier database will assist future investigators in understanding All of Us data methods and give feedback to the program on the utility of participant survey and EHR data.

We hypothesize that the survey data will provide a more complete look at family medical history due to its structured nature. Though, we are also interested in determining how much overlap there is between the PPI and EHR data. It’s plausible that the free-form nature of EHR family history information yields more detailed records. We would ultimately like to determine if a gold standard method for defining a participant’s family medical history is attainable within the All of Us registered tier data.

We anticipate facing informatics challenges because of collecting data from different sources, mapping these data to a common data model, and attempting to harness data from these sources to find the common source of truth.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Melissa Patrick - Project Personnel, All of Us Program Operational Use
  • Robert Cronin - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
  • Ashley Able - Other, Vanderbilt University Medical Center

Sickle cell

What is the population of individuals with benign hematologic conditions in the All of Us research program. There are phenotyping algorithms that exist for benign hematologic conditions, and knowing how adequate these algorithms are within the AoU program could lend…

Scientific Questions Being Studied

What is the population of individuals with benign hematologic conditions in the All of Us research program. There are phenotyping algorithms that exist for benign hematologic conditions, and knowing how adequate these algorithms are within the AoU program could lend to knowledge about what the population.

Project Purpose(s)

  • Disease Focused Research (Benign hematologic diseases)

Scientific Approaches

We will look through all the records that exist and utilize EHR records, such as ICD codes and laboratory values to look for individuals with benign hematological conditions.

Anticipated Findings

Demonstration of phenotyping algorithms for benign hematologic conditions can help demonstrate the power of the All of Us Research Database.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Robert Cronin - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
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