CDM (Chronic Disease Management) has long been a challenge, dilemma and pain-point faced by health-care service providers, patients and hospitals. The gist of personalized CDM is all about unison of data and logic, specifically various personal and medical data that are collected from patients, and clinical treatment logics or guidelines that health-care providers follow routinely.
Lack of personalized CDM is a major lacking feature in the medical care space. Without personalized CDM, patients fail to receive the desired personalized level of disease management they deserve. Hospitals and medical service providers can hardly keep up with the needs of their patients either.
The organic combination of both medical data of various patients and treatments by clinic, or with running data through the logics that are represented in a personalized CDM knowledge graph, makes the precision medicine possible, and real-time graph computing sweetens the pot to make real-time management a readily hanging fruit.