Smart Healthcare

The Internet of Things presents opportunities for healthcare providers to optimise their service and reduce operating costs. Meanwhile, it offers medical device manufacturers an opportunity to learn more about the way their products are used in order to optimise customer service and product development.

Preventative Maintenance

Machine data and predictive analysis are being used by sophisticated medical device manufacturer Elekta to execute real-time preventative maintenance, improve system uptime and deliver improved patient throughput; helping more people get the treatment they need sooner.

Smart Healthcare

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.

Read more about Thingworx Machine Learning here.



IoT in Action: Healthcare

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.

Read more.

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