Unified suite of AI products to leverage unstructured clinical data at scale
Mendel’s platform is the only system that can consolidate patient data across documents into a coherent patient journey.
Proprietary OCR built for clinical documents that captures more correct clinical terms on the hardest-to-read pages compared to the standard generic OCR.
Mendel can classify clinical documents according to their content to catalog source documents like doctor notes and pathology reports.
We started Mendel knowing using current ontologies and training existing machine learning wouldn’t get us anywhere. We invested in developing a novel approach built for medicine by training a team of physicians to think like AI scientists, and AI scientists to think like physicians.
Most solutions read isolated documents, like the pathology report. Mendel deciphers the full medical record, including notes, pathology reports, imaging, lab reports, and more, to create a full patient journey.
Clinicians write medical documentation for other clinicians assuming they will have clinical context. Mendel’s clinical AI goes beyond parsing basic medical vocabulary to accurately interpret and infer what’s not specifically mentioned.
Generic AI measures only general system accuracy instead of providing granular visibility into each variable. This can be deceiving because some variables (e.g. medications) are much easier to capture than others (e.g. outcomes), artificially inflating the overall accuracy measurement.
