The data from RFID and IoT solutions will provide a foundation for healthcare organizations to utilize artificial intelligence technology.
Artificial intelligence (AI) will be increasingly adopted for healthcare applications, but those solutions will rely heavily on the data generated by sensor, RFID, and Internet of Things (IoT) systems in order to provide operational and outcome improvements.
A recent report from Deloitte indicates that investment in AI solutions for IoT applications is increasing, and Gartner predicts that by 2022, more than 80 percent of enterprise IoT projects will include an AI component.
According to Deloitte: “AI is playing a starring role in IoT because of its ability to quickly wring insights from data. Machine learning, an AI technology, brings the ability to automatically identify pattern and detect anomalies in the data that smart sensors and devices generate.”
That type of analysis will be critical for healthcare organizations, who are attempting to create new efficiencies and cost savings internally, while also using data to better diagnose and treat patients. AI can be used for everything from inventory management to spotting disease patterns across large geographic populations.
A recent article in the Financial Times further outlines just how AI, combined with sensor-based data, can be leveraged in a healthcare setting. AI is at the heart of a new initiative in the UK to help improve disease diagnosis. But it can also benefit hospitals by handling “boring, human tasks rather than the more complicated ones,” says Oxford University professor Mihaela van der Schaar.
Those activities can include transcribing notes, managing schedules, and handling patient triage more efficiently. These activities will require the type of real-time data generated by RFID and IoT systems. “If AI is the rocket, then data are the fuel,” says Chris Holmes, a professor of biostatistics at Alan Turing Institute in London.
RFID doesn’t just provide location data; the technology can also track usage, maintenance, and other activities that can help provide greater visibility into hospital operations. Using AI to analyze data about bed, patient, and asset location and status can help hospitals make better, more informed decisions about staffing, inventory management, purchasing and other operations. That not only affects hospital efficiency, but can also improve the overall quality of care.
Xerafy’s RFID solutions for the healthcare industry provide the automated data layer needed to fuel AI and analytics solutions. Because of this tremendous contribution, Xerafy was shortlisted for Best AI Application in Healthcare at the AI Summit hosted by The AIconics in San Francisco last year .
You can learn more about Xerafy’s RFID solutions for healthcare on our Healthcare homepage.