What Is Clinical Data Informatics?
Clinical Data Informatics (CDI) encompasses AI, systems engineering, MLOps, design, building, and monitoring medical imaging in a more sophisticated data management infrastructure.
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AI and Computer Vision Machine Learning (CVML) on medical images already show potential to make predictions from medical images that are clinically valuable. To get the most value out of clinically-oriented CVML requires a deep understanding of medical imaging technology and clinical fields that produce medical images. Similarly, understanding and evaluating the value of CVML products requires understanding both clinical and business effects of the predictions made by these products.
Medical Imaging Data
There is no good AI without good data. Medical images are both vitally valuable and have unique characteristics, some of which are substantially different from other data. How to think about medical imaging data, how to manage it, and what medical image data mean from business and clinical standpoints have begun a breathtaking paradigm shift. Medical imaging assets, processes, and infrastructure are critical to an organization’s long-term successful use of AI.
Healthcare Data comes from many clinical specialties: Radiology, Pathology, Dermatology, Cardiology, Surgery, Patient transport, and so many more. But, it…
AI and Data Science
Data science is a field of study which combines domain expertise, mathematics, statistics, and programming to extract new and useful insights from medical images and other patient data. These insights potentially improve patient care and increase business value. AI and machine learning dramatically expand the opportunities to unearth these insights.