A Solution Comparison
Synopsis: When solutions for driving patient-specific and effective actions were compared against Jvion's Cognitive Clinical Success Machine, three categories emerged: enterprise data warehouses (EDWs)/data lakes, scoring methods, and electronic health/medical record (EH/MR) models. In other solutions, scoring methods fell short on delivering the granularity and specificity needed to enable effective and targeted action. EH/MRs require clean, complete data to target at-risk individuals which is nearly non-existent in healthcare. EDWs had the longest time to delivering returns. Across all other solutions and approaches, speed to value was slow and limited.
The point: Cognitive machines like Jvion's Cognitive Clinical Success Machine are gaining traction within healthcare by mitigating the problems posed by enterprise data warehouses (EDWs)/data lakes, scoring methods, and electronic health/medical record (EH/MR) models while producing recommendations for patient-level predictions and interventions rendered with unparalleled speed, clinical applicability, and patient verity.