The sheer volume of information out there relating to health is increasing at a rapid pace. So, with this wealth of data such as doctor’s letters, surgical reports, results, and various other information (such as that from smartwatches) available, it is possible to highlight interdependencies or probabilities of illnesses even more accurately than ever before. In the future, CognitiveAssist will play an active role in helping doctors when it comes to making decisions (with regard to diagnoses, treatment, and medication).
So how exactly does it work? The doctor starts by populating the system with all relevant basic information (such as symptoms and other associated factors). CognitiveAssist then reconciles this with the latest findings and research results, clinical studies, articles from medical journals, and other data. Once complete, our solution creates a list of potential diagnoses along with an estimate of how reliable these hypotheses actually are.
CognitiveAssist combines self-learning systems (AI), huge quantities of data (big data), patient needs, and terabyte after terabyte of patient data into a single cognitive system. This makes it possible to create an individual therapy plan for each patient and significantly reduce the number of potential errors in terms of medication and treatment.