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Milestone 1.H

Enable access to electronic health records (EHR) data and provide support for their integration with clinical and molecular data to build person-specific predictive models of disease and wellness and to enable disease sub-classification. These efforts should include better electronic phenotyping of AD through the application of machine learning methods.


Success Criteria

  • Hold an advisory meeting focused on understanding and overcoming barriers to sharing and usability of electronic health records in the US and globally. 

  • Initiate a research program focused on electronic phenotyping of AD through the application of machine learning methods and integration of EHR data with genomic, molecular, clinical and other patient relevant data to build person-specific models of disease, to identify disease sub-types and to identify biomarkers and molecular signatures for these subtypes.


Research Implementation Area
Population Studies and Precision Medicine
Timeline
2019–2022
Status
In Progress

Implementation Activities

Funding Initiatives

Research Programs and Resources

Research Highlights

Relevant Recommendations