Full Patient 360 - Tie all aspects of the patient together and identify relationships. Use Graph & Time Series to view history and identify with ML patterns.
Churn Prevention - Data segmentation, analytics for historical data and pattern views.
Sentiment Tracking & Patient Care Analysis - Analytics to navigate your data and track patient care.
Identification of Claim Anomalies - Fast, impactful analysis of data for anomaly detection.
Member Care & Doctor Abuse Detection - Intervention and Graph relationship management for cause and case tracking.
Influence Analysis - Most influential doctors + pharmacies; most influential financial analysts.
Network Efficiency - Using graph to determine which networks are most efficient.
