At a recent symposium on privacy, experts discussed how AI supports a faster and oftentimes more insightful approach to data security, while identifying which privacy risks healthcare organizations must monitor.
These three legal regimes are pulling in different directions, and the developers that navigate them well will be the ones that plan for all three from the start.
We are taking a look at how health insurers are using AI, defining success, and managing cybersecurity risks. Give us your opinions by completing our brief, anonymous survey.
Here’s what healthcare entities should know about the maturing landscape, what to actually be concerned about, and the next stage of healthcare data evolution as we know it.
Patients, providers, and innovators all benefit from secure, trusted, nationwide data exchange. But this trust cannot sustain itself on fragmented governance or competitive enforcement dynamics.
These tools are worth implementing. They are not worth implementing without the right preparation.
This requires more than deploying the right technology. It demands a reevaluation of how these systems fit into the healthcare environment and how to bring patients and staff along.
What if health plans could identify member decline before an avoidable hospitalization occurs? Real-time clinical visibility into long-stay SNF members uncovers risk earlier and drives better outcomes.
When deployed within the organization's own infrastructure, voice AI unlocks these four concrete benefits for healthcare teams.
The first major update to HIPAA in more than a decade will eliminate the distinction between “required” and “addressable” safeguards, making key cybersecurity and physical security measures mandatory for all healthcare providers. This shift will expose gaps in hospitals’ fragmented security systems, though, according to Kumar Sokka, CEO of cybersecurity platform Acre Security.
As legal and compliance professionals, we champion privacy and cybersecurity in our organizations — but success requires a team effort.
Healthcare AI in the U.S. has progressed to a point where traditional, HIPAA-style compliance alone is no longer adequate. The next phase of regulation and market expectation will require continuous, medical-grade AI governance, and companies that don’t adapt now will be left behind.
We have the opportunity to design systems that give people greater capacity for the work where human presence matters most: listening, understanding, reassuring, deciding, and caring.
If leading hospitals are using these AI tools, and the companies mention HIPAA compliance on their websites, are the consumer AI health tools also regulated by HIPAA? Do consumers share a similar relationship with these companies as healthcare organizations do?
Discover where you can find HIPAA-compliant software for med spas.
How can healthcare providers contend with a regulatory environment that has never been more fragmented? Here are three lessons on why privacy is your competitive advantage.
As manufacturers play an active role in the patients’ healthcare journey, the boundaries between manufacturers and healthcare providers/payers are becoming increasingly blurry.
As healthcare continues to become more and more dependent on third-party vendor services, provider and technology entities must remain focused on the risks that their vendors present.