adverse event reporting

Geofencing for Automated Event Detection and Case Management

There are plenty of issues related to standard approaches to adverse event reporting – missed data, delayed reporting and poor scalability.

Use of Geofencing on the Linkt platform constitutes an innovative solution for detecting adverse events and outcomes for large-scale, long-duration clinical trials and research. Geofencing uses location information securely held within a participant’s own device (e.g., mobile phone) to allow the device to detect whether a participant has crossed a virtual perimeter around a geographic landmark (e.g., hospital, clinic).

Standard approaches to capturing adverse events, like phone banks and electronic medical record (EMR) searches, suffer from poor scalability, susceptibility to missed data, and delayed reporting; issues addressed by automated systems such as geofencing. Geofencing together with the chatbot and the case alert system creates a powerful tool for automatic detection of hospitalizations and potential adverse events.

With geofencing technology for case management, it’s expected that some geofence crossings may not be detected by the device and, in turn, recorded by the Linkt app because successful detection of geofence crossings depends on many factors, including:

  • device hardware (e.g., GPS chip)
  • cellular network provider (e.g., distance from closest cell tower)
  • proximity between geofences
  • participant behavior (e.g., Linkt app installed on device and logged in, device charged and turned on, device data turned on, location services enabled, possession of mobile device at the time of the event, etc.)

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