When used in the healthcare context, the term “Real-World Data” (RWD) usually refers to patient-level data gathered outside the conventional clinical trial setting. Such data may be generated in the course of normal clinical practice or administrative claims processing or may be reported directly by patients4.Clinical evidence that is derived from the analysis of RWD […]
Facilitated by cutting edge technology – machine learning, IoT, mobile applications and predictive analytics – ASAYA integrates best practices with evidence-based data to provide practical guidance for tailored medical cannabinoids treatment (the right medicine, for the right patient, at the right dose, at the right time).
The need for consistency and high quality, in both the growing methods and final product, is apparent from efficacy, safety and commercial perspectives. As the cannabis dried flower is considered a medicine, it’s mandatory to have a consistent, controlled outcome, free from bacteria, fungus and mold.