The Internet of Things (IoT) is widely heralded as the next big thing and healthcare organizations, like all other sectors, cannot afford to get left behind on IoT. To achieve the integration, they must either adapt rapidly and seize competitive advantage, or risk losing market share and revenue to early adopting organizations. The fundamentals of any healthcare organization’s IoT strategy can be boiled down to four sequential areas of focus, or the four As of IoT: Access, Aggregation, Analysis, and Artificial Intelligence.
Keeping in mind the complexity and scale of the analytical and operational challenges presented by IoT, one of the final stages of IoT application will be identifying strategic ways to put the analytics to work in real-time using machine-assisted learning, such as adjusting care plans, identifying second options for treatment, and so on. Take for example, at El Camino Hospital in California artificial intelligence (AI) will be applied first in areas where there is no direct patient contact, such as imaging analysis, routine pharmacist work, and delivery robots such as those, which will save the hospital approximately $700K annually delivering drugs and carting linens.
We have just scratched the surface of the potential of for the intersection of IoT and AI to transform healthcare so imagine if health plans start using AI-powered systems to tie into real-time diagnostics data and trigger automated interventions and support services. A minor stroke or cardiac issue can be responded to within minutes that today could take weeks or months or may never be detected.