Most hospitals in Southeast England have been providing discharged patients with Wifi-enabled AI-driven wearables, which monitors their health remotely. Monitoring vital signs such as respiratory rate, pulse, blood pressure, oxygen levels, and body temperature all at once even at a distance is now achievable thanks to Artificial Intelligence.

Because of this, the National Health Service program has reported that costly home visits have reduced up to 22%. Adherence to treatment plans has also increased up to 96% compared before, which only bears an average of 50%.

Artificial Intelligence has caught the attention of many that it sparked interest in the field of healthcare. That’s why more and more hospitals these days have taken advantage of the said tech to make things more efficient while providing patients with the assistance they need without emptying the wallet. However, not every part of healthcare has benefited over the advancements of AI. Margin pressure and decentralization are both aspects where the health system has been struggling on for years.

An example is AI-powered medical imaging tools. This thing deemed useful at some point, but the problem is the work can be easily done by specialized physicians. Thus, resulting in the AI to difficultly perform a diagnosis to create such change. Even though AI is incorporated in such setting, it is unlikely to fundamentally improve the way healthcare is delivered to people at a lower cost.

But thanks to the help of huge organizations, they have the power to deploy AI to do things that have never been done before in the world of healthcare. Such example is addressing non-acute health conditions that some people experience daily. There’s no need to get the attention of a highly-skilled clinician to address such, but AI plays a vital role in here in determining a person’s health while keeping the cost low.

A report by the World Health Organization (WHO) shows that 60% of people lived a healthy life because of their lifestyle choices including health-related ones such as taking medications as prescribed, getting enough exercise, and getting enough rest to reduce stress. And with the help of AI, healthcare developers can create a tool that reminds and monitors people’s health in the form of a wearable or a special device for that matter.

Sure, home monitoring isn’t a new thing. There are active programs that have been doing home monitoring for ages. But the presence of AI is what makes it world’s different from what was originally created. With AI, real-time monitoring is now achievable thanks to its machine learning capabilities that can hold large amounts of data, making smarter algorithms to aid people’s needs.

There are three key points why creating AI-driven wearables/devices can benefit healthcare in the long run, and these are:

  1. Reduce Costly Hospital Readmission Rates

  • Such example is the Grady Hospital in Atlanta, where they provided an AI-powered device that can detect “at risk” patients. With the help of this device, their hospital readmission rate has decreased to 31% over two years. The device creates an alert that notifies clinical teams whenever there is a special patient that needs to be taken care of.
  1. Reduces Risk by Partnering with Different Teams

  • An example is the Synaptic Healthcare Alliance, a pilot program formed by different groups of healthcare specialists from different programs between Aetna, Ascension, Humana, Optum, and others. The alliance uses Blockchain technology to create huge datasets to be used by various healthcare providers with the help of AI. Data management became easier, and the cost of processing claims has reduced thanks to this AI-driven tech, resulting in improved access to care. 
  1. AI and Highly-Trained Professionals Go Well Together

  • There is no such competition between AI and highly-trained health specialists such as doctors or clinicians. What’s best is that we must take advantage of AI to collaborate with such to augment our knowledge and reasoning. However, there are AI-driven technologies that actually compete with doctors. Such example is in the University of California at San Diego pilot where an AI successfully diagnosed a child compared to skilled pediatricians. However, senior doctors are still needed to thoroughly review the diagnosis. The goal here is to collaborate with AI, not to replace human’s capability over a machine. 

With the three combined, it paves a way to creating a bright future in the field of healthcare. What was once impossible back then, is now possible thanks to the help of AI. Forming deep relationships between AI and health providers, one can expect to see an improved and efficient healthcare that caters different people at an affordable cost in the years to come.