Smart Medicine: Designing IoT Products in Healthcare

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Designing IoT products for the healthcare industry requires focusing on real value.

In the United States alone, more than 15 million people abuse prescription drugs. Often they obtain the drugs from friends or relatives. Heroin addicts — a growing phenomenon in the United States — report abusing prescription opiods first.

To help address the problem of prescription theft, Intelligent Product Solutions of New York helped to design a smart medicine cabinet called iKeyp, which provides real-time security alerts through a wireless Internet connection when the cabinet is breached without a successful combination. The cabinet also issues reminders to take medication.

“It’s similar concept to an alarm system, but restricted to a medicine cabinet,’ said Gianfranco Bonanome, senior director at IPS. One example of its use is for a patient with a long-term opiod prescription. Perhaps the patient’s friends know there are opiods lying around, and the smart cabinet prevents theft.

The AdhereTech smart pill bottle.

The AdhereTech smart pill bottle.

IPS also helped to develop a smart pill bottle, AdhereTech, that reminds patients to take medication. The bottle consists of a sensor that can detect when the bottle is open and a wireless modem that transmits the information to a healthcare provider. The bottle can also light up or play a song to remind patients to take medication, and IPS claims it has increased medication adherence by an average of 20 percent.

AdhereTech in 2016 won the GOOD DESIGN Award, the world’s oldest prize dedicated to the most innovative industrial products and graphic designs produced around the world.

The pill bottle also serves to protect healthcare providers. Under U.S. healthcare law, if a patient is hospitalized for any reason, then returns to their place of care within 60 days, the care facility must prove that proper care was administered.
In addition, pharmacies may want to protect themselves against lawsuits in situations where it’s difficult to prove the patient didn’t take their medication.

Meeting challenges in healthcare product design

Intelligent Product Solutions has also developed wire-free charging strips, a DNA-based optical scanner for security, and other products. But designing products for the medical industry presents different challenges, said Bonanome, who will be speaking about designing intelligent IoT devices for healthcare at IoT World from May 16-18 in Santa Clara.

In healthcare, Bonanome said, the FDA has strict design, testing, and review requirements.

Engineers, he said, don’t want to waste time redesigning products. So designing intelligent IoT products in healthcare involves meeting those standards – including measuring the device and components against similar products. In the meantime, engineers and designers must ensure the product doesn’t become obsolete by the time it finishes the FDA process, which can take years.

As such, IoT healthcare products must be “future-proofed,” Bonanome said.  IPS seeks components “that will be available for as long as possible on distributor’s shelves. This is primarily done for two reasons: To push obsolescence management as far as possible into the future, and to avoid re-certification.”

“Traceability on components is a key aspect of FDA certification,” he explained. “Any significant changes to a bill of materials will result in having to go through the process (or part of it) again.

And especially in healthcare, the products must have real value.

“We’ve become addicts of tracking things,” Bonanome said.  “It’s a little bit like sports — you can create a statistic around anything, but is it really adding value of the end of the day?”

Bonanome’s talk at IoT World is titled: “The Gateway to Connected Health: How IoT Medical Devices are Revolutionizing Health Care Today.”

Related:

Predictive healthcare: How the IoT can save lives

Use cases: healthcare and real-time analytics

Chris Raphael

About Chris Raphael

Chris Raphael (full bio) covers fast data technologies and business use cases for real-time analytics. Follow him on Twitter at raphaelc44.

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