More than 50 organizations – from major tech giants to startups and healthcare industry leaders – convened by the Consumer Technology Association (CTA) have developed the first-ever ANSI-accredited standard for the use of artificial intelligence in healthcare. This standard, part of CTA’s new initiative on AI, is the first in a series that will set a foundation for implementing medical and healthcare solutions built on AI.
“This standard creates a firm base for the growing use of AI in our healthcare—technology that will better diagnose diseases, monitor patients’ recoveries and help us all live healthier lives,” said Gary Shapiro, president and CEO, CTA. “This is a major first step – convening some of the biggest players in the digital health world – to help create a more efficient healthcare system and offer value-based healthcare to Americans.”
AI-related terms are used in different ways, leading to confusion – especially in the healthcare industry, including telehealth and remote patient monitoring. To address this problem, CTA announced the working group with 30 members less than a year ago, which now includes a wide range of decision makers from 52 organizations and member companies to develop a standard built on consensus.
The standard – 11 definitions and characteristics – provides a framework for better understanding AI technologies and common terminology so consumers, tech companies and care providers can better communicate, develop and use AI-based healthcare technologies.
A broader AI committee at CTA also published an ANSI-accredited standard that addresses the pervasiveness of AI-enabled technology across the entire consumer technology industry. The standard defines over 30 terms including machine learning, model bias, artificial neural network and trustworthiness.
“So far, common terminology has defined the intent of use — and that’s one of the most significant challenges in developing standard application of AI,” said Rene Quashie, vice president of policy and regulatory affairs, digital health, CTA. “As health systems and providers use AI tools such as machine learning to diagnose, treat and manage disease, there’s an urgent need to understand and agree on AI concepts for consistent use. This standard does exactly that.”
As the healthcare system deals with clinician shortages, an aging population and the persistence of chronic diseases in the US, technologically driven solutions, such as AI, will increasingly be used to meet clinician and patient needs, the group notes.