Artificial Intelligence (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 CognitiveML™, which uses proprietary AI technology and machine learning (ML) algorithms to generate predictive insights that mimic the interpretations and determinations that a human clinician would make reviewing the same data. Similar to how physicians base decisions on their knowledge of medical concepts, experience in the field, and clinical judgment, Iodine leverages its CognitiveML™ 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.
CognitiveML: the Future of AI and Machine Learning
Proven Results Leveraging Cognitive Emulation
Smarter Prioritization
Iodine in Action
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.
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.
Automated, Clinically-driven DRGs
Smarter Prioritization
Iodine leverages clinically-trained AI to deliver predictive insights and enhance healthcare productivity, data accuracy, and financial outcomes.
Why Iodine
Why Iodine