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Command the full spectrum of your data, structured and unstructured alike, to deliver blazing-fast insights and answer previously unanswerable questions.
Effortlessly sift through millions of patient records to discover the cohort that matches your criteria, all at the pace of a simple conversation. No more wrestling with business rules, learning code, or brute-forcing your way through.
After identifying your cohort, unleash your curiosity. Delve deep to get the comprehensive understanding of real-world outcomes your organization needs, from clinical to commercial.
Seamlessly upload and consolidate data from various sources to map out complete patient journeys. Benefit from data pre-loaded by our premier partners, or effortlessly integrate our insights into your existing system.
AI has been focused on a technique called deep learning – and so far it fails to understand clinical context. Since 2016, we have been developing a hybrid model that couples machine learning with symbolic AI. Symbolic AI is a set of processes common in logic, mathematics and computer science that treat clinical reasoning like a kind of algebra – and the results speak for themselves.
In an analysis of 100 cohort selection queries, SQL failed to retrieve any patients in 60% – even though eligible patients existed in the data.
In the AI, "hallucinations" are scenarios where models produces outputs that aren't factual, accurate, or are entirely fabricated. Mendel's Hypercube is designed for unparalleled fidelity and unwavering consistency.
80% of clinical data is unstructured. Extracting insights from such data has traditionally been a cumbersome, non-scalable task, limiting organizations to using about 10% of the available information. Hypercube scales across all data types. From claims to pathology reports, we've got it covered.
Consider a query like "patients without cancer surgery." Traditionally, you'd need to painstakingly define what constitutes cancer surgery. By contrast, Mendel's Hypercube is a best-in-class solution that innately grasps this context.
Clinical data often presents conflicting information. In the same medical record, a doctor’s progress note may say the patient has stage 1 cancer, but the pathology report could refer to a metastatic tumor. Unlike conventional systems that analyze at the document or encounter level, Hypercube uniquely offers a comprehensive patient-level understanding.
