DeVero References Capped?

Access even more references from these marketplace competitors

  • 4.8 / 5.0 (1583)
    6+ References
  • 4.7 / 5.0 (1744)
    7+ References
  • 4.7 / 5.0 (2079)
    16+ References

DeVero Case Studies

  • currently locked
  • currently locked
  • currently locked
  • Reference Rating
    4.7 / 5.0
    Customer References6 total
    About

    Ensocare, a CQuence Health Group company, is a cloud-based, Software-as-a-Service (SaaS) solution suite that automates the discharge process, effectively transitions patients between care settings and enables coordinated care across the continuum. Ensocare’s Transition engine integrates with existing EMR systems to quickly match patients and efficiently transfer clinical care documentation to the post-acute facility best able to meet their individual clinical and psychosocial needs.

  • Reference Rating
    4.7 / 5.0
    Customer References7 total
    About

    At FasterNotes, they take a revolutionary approach to home health: they believe that it can be easy. Now, empty processes like posting notes, filing, making staffing calls, tracking frequencies and following up on late visits are fully automated, saving you both errors and hours! Not ready for a full point of care system? FasterNotes'​ intelligent design allows field staff to utilize both traditional paper documentation or go absolutely paperless. And with true cloud-based data storage, you are guaranteed the fastest, safest and most reliable computing performance currently available.

  • Reference Rating
    4.7 / 5.0
    Customer References16 total
    About

    Jvion, Inc. (Jvion) delivers a Cognitive Clinical Success Machine that serves as a high-performance appliance for providers and the healthcare community. It activates macro and micro-level recommendations that help healthcare providers who need ultra-definition patient-level prioritizations, clinical action insights, and suggestions produced with unmatched speed, clinical applicability, and verity. The machine delivers the action-level recommendations that will best reduce the likelihood of an adverse event. This capability is enabled by a cognitive engine driven by horsepower that is based on more than a quadrillion clinical and non-clinical considerations and thousands of data elements.

  • currently locked