Webinar: Using Artificial Intelligence and Machine Learning for Anomaly Detection to Decrease Risk and Improve Data Quality and Patient Safety

In this 30 minute presentation, Pankaj Manon, CTO ThoughtSphere, examines the value of anomaly detection in reducing risk and improving data quality and patient safety both from a clinical and operational perspective. Learn:

  1. The role of artificial intelligence and machine learning in detecting anomalies and the different approaches available.
  2. How we gather and prepare relevant data to train the machine learning models.
  3. The different views we offer in visualizing and detecting anomalies.

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