Advanced AI for financially strong organizations

Iodine’s machine learning powers a new approach to solving mid-revenue cycle problems


Cognitive Emulation: the future of AI and machine learning


AI is routinely positioned as a means to drive better results, yet most healthcare technology solutions leverage rules and check-lists versus clinically-trained cognitive expertise.

Iodine has pioneered a new approach called Cognitive Emulation, which uses proprietary AI technology and machine learning algorithms to think the way a clinician thinks. Similar to how physicians base decisions on their knowledge of medical concepts, experience in the field, and clinical judgment, Iodine leverages its Cognitive Emulation approach (via its CognitiveMLTM Engine) to consider and analyze the entire patient record.

The result? We help teams quickly and accurately identify areas of potential opportunity to accelerate productivity, data accuracy, and financial return. 


Massive data is key to machine learning and AI success

Our large and growing database of patient admissions provides a rich resource to apply cognitive emulation and determine meaningful statistical patterns.


Proven results leveraging Cognitive Emulation

Smarter prioritization

The Iodine Concurrent™ module considers the entire scope of the clinical record, patient experience, and physician intervention to predict likely conditions and identify gaps between evidence and documentation for review.

Automated, clinically-driven DRGs

Iodine Forecast™ is a fully-automated, clinically-driven module that assigns a final DRG for every patient record, early in each patient stay — effectively obsoleting conventional working DRGs.

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