The shift to value-based care puts increasing pressure on providers to improve health outcomes while reducing cost. This requires a comprehensive approach to understanding the patient population and their individual care needs. However, most high-value patient data is hidden in unstructured text and images that is difficult to extract and process at scale.
The next generation end-to-end, value-based healthcare platform from Konica Minolta transforms structured and unstructured patient data into real-time insights, maximizing population health, patient engagement and quality/cost improvement initiatives. Leveraging Intelligent Data Transfer (IDT) technology, Natural Language Processing (NLP) and Machine Learning (ML) to enable ACOs, large provider groups, health systems and payers can better predict and manage patient risks that will result in improved clinical and financial outcomes at lower cost.