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Features

To enable patient safety and workflow automation functionality, Ouva captures the current occupancy of the room. The raw occupancy data provides the number of people (including partially covered by blanket, partially occluded by other objects), whether there are any visitors, and if a staff member is in the room or not.
These features allow more advanced functionality in the Ouva backend. For example, by understanding when nurse arrives into the room, Ouva provides data on how much time nurses spend during a round, and whether a round is delayed or not. Another example is tracking and improving room turnover, by alerting when EVS or patient arrival is delayed.

Ouva automatically tracks and keeps inventory of the assets in the room. Out-of-box, Ouva can track beds, chairs and IV pumps. Using this information, you can help prevent delays - for example by making sure that the right equipment is available when a patient admit/transfer is initiated into a new room.

Most patient safety monitoring functionality is based on Ouva’s understanding of patient behavior. The states provided in the raw patient data are as below:
  • Lying in bed
  • Sitting
  • Standing/Walking
  • Out of room
These states are used to then generate most core features available in Ouva patient safety module (e.g. generating alerts before patient with a high fall-risk leaves the bed unassisted).

With the ability to identify when a nurse is in the room, Ouva provides detailed analysis on rounding times, delays, and how much a patient takes up nurse time. With this information, you can for example prevent night wakings which are proven to be detrimental to patient's healing progress.

One of the main issues with patient flow is understanding and eliminating delays between care stages. Ouva tracks and analyzes when a stage is initiated and when it is completed, so you can deep-dive into delays, or get alerted in realtime to prevent additional lost time.

In order to automate configuration and support different camera positions, Ouva detects the room layout (patient bed, seating areas, doors). This feature forms the basis for the core-functionality, and eliminates the need for manual calibration of the system for each camera.
Room layout as seen by Ouva

Following is a list of current alerts generated by Ouva. Not all risky situations generate alerts in order to not add to the alert fatigue of healthcare staff, however, an alert can quickly be created as needed.

If a patient is flagged with fall risk, Ouva will generate a fall risk warning when a patient sits up on the bed.

When a patient is out of the room, if a patient is flagged with a wander risk, Ouva will generate an alert, which stays active until the patient is back in the room.

If a nurse has not shown up in the room within a defined period of time, Ouva will generate rounding delay alert which automatically is resolved when a nurse enters the room.

Ouva provides a live, privacy-preserving view into the room within the dashboard. It also provides state of the sensor, so you can tell if the data you see is up-to-date or delayed.
Last modified 10mo ago
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Room Occupancy
Assets
Patient Status
Nurse Visits
Flow Stages
Room Layout Detection
Alerts
Live View