Description: Biomedical informatics research laboratory at Harvard Medical School, with a focus on analyis and visualization of biomedical big data
big data (1819) data visualization (630) profiles (360) harvard (347) biomedical informatics (14) beth israel deaconess medical center (3) i2b2 (3) griffin m weber (2) griffin weber (2) gm weber (2)
Welcome to the website for "Biases introduced by filtering electronic health records (EHRs) for patients with 'complete data'", an NIH-funded project in the Weber Lab in the Department of Biomedical Informatics at Harvard Medical School. Nationwide adoption of electronic health records (EHRs) has led to the increasing availability of large clinical datasets. However, because the same patient could be treated at multiple health care institutions, data from only a single EHR might not contain the complete med
Project dates: September 4, 2020 - August 31, 2024
Funding details: NIH/NLM grant R01LM013345