The MEDgle platform is built on top of the most comprehensive known database of relationships between symptoms, diagnoses, drugs, tests, procedures and associated statistical information. Paired with decision algorithms and semantic search-enhanced data input capability, MEDgle is a powerful case analysis engine with a wide range of real-time, predictive health uses. Applying tested mathematical algorithms to patient parameters including age, gender, family history; and lifestyle factors such as smoking, weight and previous diagnoses, MEDgle provides instantaneous, web-based, clinically relevant information covering 10,000 symptoms, 3,000+ diagnoses, 7,000 procedures, and 6,000 medications (and these numbers continue to grow!). Some of the techniques used by MEDgle include:
- Multi-parametric statistics (a form of multi-dimensional scaling that enables the linearization of large number of related probabilities)
- Entropy analysis (which increases the informational content of certain variables)
- Natural language analysis (gathering the meaning of a text based on the number of repeating words and phrases in the language experience of a human)
Geographic Variability
MEDgle produces variable outcomes based on geographical infectious disease information provided by the Center for Disease Control and is populated with country and region specific information.
MEDgle Cloud
MEDgle and the MEDgle Cloud is built on cloud computing architecture and is not limited by server or storage availability, making it infinitely scalable.
Implementation and Platform Architecture
MEDgle’s products simplify the implementation of a clinical decision support system by providing on-demand, affordable services.