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Pervasive patient sensing devices generate large quantities of wireless data. This data needs to be transmitted to central medical servers or mobile practitioners for real-time analysis. Various factors can affect the "quality" of our patient data. These include: wireless interference (e.g. access point or radio failure) and/or Sensor failure. Vital patient data packets may be lost resulting in an incorrect diagnosis. Patient sensor failure is a reality. It is imperative that sensor failure is detected as soon as possible to ensure a higher QoS is provided. Presented is a Data Management System-Validation Model (DMS-VM). It is designed to manage wireless interference and sensor failure in a controlled and intelligent manner. The DMS-VM samples multiple patient vital sign readings and intelligently filters this data to verify its integrity based on an agent middleware platform. This novel approach provides higher QoS within context aware medical environments. The DMS-VM experimental prototype is presented.