A healthcare utilization analysis framework for hot spotting and contextual anomaly detection

Keyphrases

• Analytic Model 25%
• Anomaly Detection 50%
• Claims Data 25%
• Clinical Characteristics 50%
• Clinically Significant 25%
• Clustering Methods 25%
• Contextual Anomaly Detection 100%
• Corrective Action 25%
• Cost Reduction 25%
• Diabetes Patients 25%
• Disease Registry 25%
• Disease-specific 25%
• Healthcare Resource Utilization 25%
• Healthcare Utilization 100%
• Heavy User 25%
• High Utilizers 25%
• Hot Spotting 100%
• Intervention Program 25%
• Main Components 25%
• Medical Encounter 25%
• Medical Records 25%
• Medical Utilization 25%
• Observational Data 50%
• Patient Condition 25%
• Patient Demographics 25%
• Patient Utilization 25%
• Pattern Analysis 25%
• Quality of Care Delivery 25%
• Resource Planning 25%
• Targeted Intervention 25%
• Temporal Relations 25%
• Timely Manner 25%
• Utilization Analysis 100%
• Utilization Level 50%
• Utilization Pattern 25%
• Vector Space Model 25%

Computer Science

• Analysis Framework 100%
• Analytic Model 25%
• Anomaly Detection 100%
• Clustering Technique 25%
• Collected Data 25%
• Corrective Action 25%
• Main Component 25%
• Medical Record 25%
• Observational Data 50%
• Pattern Detection 25%
• Resource Utilisation 25%
• Temporal Relationship 25%
• Vector Space Models 25%

Medicine and Dentistry

• Diabetes 25%
• Disease 50%
• Electronic Patient Record 25%
• Health Care Cost 25%
• Medical Record 25%
• Patient Population 25%
• Spotting 100%