Qantev identifies opportunities to save costs and increase efficiency, be it through negotiating savings or steering members towards better health service providers.
Qantev uses a unique approach leveraging our profiling and simulation capabilities to make robust apple with apple comparisons.
Compared to black box clustering algorithms, Qantev approach is highly explainable and auditable.
Our recommendation engine builds automated reports identifying inefficiencies and pricing gaps in your helth care network.
Qantev's simulation capabilities allows the user to forecast the consequences of the different course of actions at his disposal.
Qantev simulators can predict the potential impact of any management action on spending, volume of members, the overall quality of care and multiple other KPIs.
Network Managers can easily identify the right level of discount to negotiate to achieve their targets and easily build strategies to steer members.
Combining smart UI and a deep understanding of client needs, Qantev’s strong data foundation allows for recommendations based on hard data not hunches. We combine historical data and expert models to simulate and forecast the impact of client decisions.