One in particular titled, Data Management, Privacy and Security, delved into data extraction and management, and the reaches of cybersecurity and interoperability for ensuring safe and effective communication of data in a timely manner. The panelists in this discussion agreed that it is not so much challenges within the technology itself but regulations governing its actions that prevent users from leveraging the full potential it has to offer.

“With that increased level of regulation, it is more challenging to make sure you have consensus and that you are giving data subjects the right to view their data, to have their data deleted or to have updates,” said Jon Wilkinson, technology privacy officer and U.S. privacy officer and director at PAREXEL. “That obviously can run into conflict with AI where you want to put data in the data lake and you want to have those data repositories where you can use them for all different kinds of applications in analytics. The question is, do you have the right to do that with respect to those regulations? How are you managing those consents to ensure you are in the scope of the law?”

Many view AI as a positive addition to their work as providers and manufacturers in healthcare. That said, they are in agreement that such technology requires a uniform regulatory framework regarding how it is deployed, and how to measure its effectiveness so different entities can achieve the outcomes they want for their patients.

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