DreaMed’s MD Logic: Clinical Artificial Intelligence

Each diabetes patient’s responses to dosage changes, day-to-day activities, and personal case history are unique. Effective insulin treatment decisions require a comprehensive understanding of each of these factors, as well as their interplay and relative impact.

The DreaMed Diabetes medical team and developers sought to make collating, cross-referencing and analyzing all that critical, patient-specific information – both real-time and archived – easier and faster. Drawing on years of experience and research, they created a unique and innovative solution to this complex challenge: MD Logic.

MD Logic introduced artificial intelligence into the heart of diabetes management.

This cognitive technology uses fuzzy logic and adaptive learning algorithms to emulate the way expert endocrinologists actually evaluate their patients, progressively refining their understanding of each case based on accumulated information – but with faster analysis and deeper insights. For maximum accuracy and the most complete picture, MD Logic analyzes all available real-world data on insulin dosing and blood glucose (sensor readings, fingerstick measurements, meal or carb intake data), as well as patient reporting.

As a result, MD Logic technology can be used in any or all of the following ways:
Generate a straight data analysis report
Provide diabetes management recommendations
Guide insulin dosing adjustments
All patient-specific and tailored to the relevant treatment option (pump, MDI, continuous glucose sensor, or any other).
MD Logic is at the core of DreaMed Advisor and Glucositter, making personalized diabetes healthcare reporting, guidance and recommendations possible.