At Baim, we leverage EHR data to optimize trial design and assure that a site has the subjects with the diagnosis or condition of interest. With the high cost of running a clinical trial today, sponsors have turned to electronic health records (EHR) as a source of real, not estimated, data around the volume of potential subjects, the providers who care for them, and the data elements within a specific EHR system. With countless numbers of EHR systems globally, generalizing and harmonizing these data has become a unique challenge.
Led by Dr. Alexander Turchin an informatician and practicing endocrinologist at Brigham & Women’s Hospital.
In addition to using EHR data to support clinical trials, we can assist in interpretation and analysis of EHR data for real world studies. Much of the data from medical records, imaging studies, pathology reports, sensors, and wearables remain unlabeled and unstructured. Advanced analytical techniques, including natural language processing can be applied to maximize analytical output from complex EHR data sets providing a more robust assessment of patient care, management, and outcomes.