RNvision was created by a nurse for nursing. It provides nursing leadership visibility into their organization to assist with staffing decisions. The available modules are:

  • Acuity-Based Staffing Dashboard
  • Nurse Credentialing
  • Reporting and Analytics

RNvision is a unique system combining patient acuity, ratios, and credentialing. It is EHR agnostic so you can leverage any technology platform whether you are using a consolidated system or best of breed. RNvision is customizable for your needs and workflow.

Provides real-time, staffing decision support at your fingertips

Staffing Dashboard

The nursing dashboard provides high-level insights to assist with management-level decision making. Users can quickly determine overall acuity level of specific care areas and match that to the number of nurses available for care.

XcellenceFirst defines appropriate staffing as the balanced mix of patient acuity, number of staff, and staff competencies. (Hammel, 2020)

In the dashboard view:

  • Evaluate against mandated ratios, or if not regulated, ensure safe levels of care providers
  • Project staffing levels based on acuity in addition to census levels
  • Quick insight into length of stay
  • Ensure staffing remains within budgetary parameters and appropriately utilized
  • Examine trends and predict results

Acuity Based Staffing Dashboard

Nurse Credentialing

If you are not already using an automated credentialing system, RNvision has a solution. It provides efficient and valuable credentialing information presented in an easy to use system. With this module, you will be able to:

  • Efficiently credential nursing staff
  • Leverage the granular nurse credentialing to drive accurate nursing assignments
  • Increase clinical decision making process and cut credentialing time exponentially

Nurse Credentialing

Reporting and Analytics

With the data being collected and collated within RNvision, users are provided a robust analytics platform. A combination of canned and custom reporting unlocks the tools needed for nursing to make data-driven decisions.