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Episode Connect collects real-time admission and ongoing clinical data as additional services are performed throughout an episode. With each new input, Episode Connect’s prediction engine develops a greater level of confidence of each patient's final DRG, most ideal next site of care, their bundle attribution, and a measure of their readmission risk. This is built on top of a machine learning engine that learns your organization's coding patterns, common errors and compares it with our entire database to help you make the best possible decisions over time.
As your institution gets better at predicting what will happen with each patient, you can begin to move systems of care upstream. As the episode progresses, Episode Connect can trigger a series of bundle-specific downstream workflows across all potential sites of care. This is how you activate an entire network of care for each episode of care.