In healthcare, improving the monitoring of patients after they leave hospital or begin using a device offers great opportunities to improve patient outcomes.
Little wonder, then, that leveraging this information is becoming a focus for healthcare organisations.
Thingworx Machine Learning is an advanced analytics engine that quickly automates complex analytical processes and integrates powerful information into existing applications or Thingworx dashboards.
Thingworx Machine Learning lives on top of big data, learns from it, and automatically generates insights and non-obvious predictions in real time.
Generating insights from big data is of huge importance in the medical field.
It can help equipment manufacturers to turn connected product data into meaningful business value or shape value-added services.
It can help healthcare providers to manage patient health, remotely and in real time.
It can help identify unexpected patterns in patient outcomes and predictive outcomes in order to improve patient health and reduce the likelihood of readmissions.
At the Hochschule Furtwangen University in Germany, students are working to develop “smart wheelchairs” and “smart walkers” that will monitor and transmit patient information to a Thingworx dashboard and develop alarms specific to each patient.