Sōvyn

10/06/2026

AI-supported prior authorization can promise greater efficiency. But in healthcare, efficiency alone is not the message.

CMS’s WISeR Model combines enhanced technology with clinical review for selected Medicare services.

For communicators, the responsibility is clear: explain the role of clinicians, appeals, oversight, and safeguards as clearly as the potential benefits.

Accountability makes innovation credible.

https://hubs.ly/Q04xRhP90

10/02/2026

For digital health, activity is no longer the whole story.

CMS’s ACCESS Model puts measurable patient outcomes at the center of technology-supported chronic care.

For communicators, that means moving beyond engagement and utilization metrics to explain what actually changed for the patient.

Activity gets attention. Outcomes build credibility.

https://hubs.ly/Q04xR8sw0

09/30/2026

AI products evolve. That doesn’t mean change should be open-ended.

FDA’s final guidance on predetermined change control plans reinforces an important principle: companies should be clear about what may change, how performance will be monitored, and what safeguards remain in place.

For healthcare communicators, responsible innovation is a stronger story than rapid iteration alone.

https://hubs.ly/Q04xR7yR0

09/18/2026

TEFCA has moved beyond the introduction.

A 2025 national survey found that 43% of hospitals were already participating, while another 37% planned to join. That means four out of five hospitals are already moving toward TEFCA.

For health information networks and interoperability vendors, the message must evolve. Hospitals now need practical guidance, real-world use cases, governance insights, and proof of value.

The conversation is no longer just “What is TEFCA?” It is “How do we make it work?”

https://hubs.ly/Q04vyZLy0

09/16/2026

TEFCA has now surpassed 1 billion health records exchanged since nationwide exchange began in December 2023.

Interoperability is often explained through standards, acronyms, and architecture diagrams. But the more compelling story is scale: health information is now moving across a national network-of-networks at unprecedented volume.

For health tech companies, the opportunity is to show what that infrastructure enables, for clinicians, patients, payers, and public health.

Infrastructure becomes meaningful when people can see the outcome. https://hubs.ly/Q04tM93x0

09/14/2026

Research found that 32% of U.S. adults have used AI for health information or advice. Among those users, four in ten said they had uploaded personal medical information for more personalized guidance.

This signals both growing adoption and an opportunity to build trust.

Consumers are already exploring how AI can support their health decisions. For health organizations, that creates an opportunity to provide clear, accessible guidance on what AI can do, how information is handled, and when professional care matters.

As AI becomes part of everyday healthcare, clear communication can help people use it with greater confidence.

09/11/2026

The AMA reported in 2026 that more than 80% of physicians use AI in their professional work, double the rate reported in 2023. The average number of use cases per physician increased from 1.1 to 2.3.

That changes the target audience for healthcare AI communications.

Physicians are not approaching the subject as complete beginners. Many have direct experience and more sophisticated questions about evidence, workflow, liability and oversight.

Marketing that still explains AI as if it were a novelty risks sounding several years behind the market.

Speak to clinicians as informed evaluators, not reluctant adopters. https://hubs.ly/Q04tLyv10

09/09/2026

“AI is transforming healthcare” is not a thought. It’s a weather forecast.

The healthcare, health tech, biotech & life sciences content that stands out on LinkedIn does something different: It gets specific, teaches something useful and says what everyone else is thinking but no one is willing to post.

In our latest blog, Digital Marketing Specialist Sarah Mattacola explains:

• Why polished, committee-approved content is often forgettable
• What makes readers feel seen and understood
• Why your people are your company’s most credible voices
• How consistency and genuine engagement build lasting visibility

The bar for being memorable is lower than you think. Show up with a real perspective and give people something worth reading.

Read “How to Stand Out on LinkedIn in Healthcare, Health Tech, Biotech & Life Sciences.”

Learn how healthcare, health tech, biotech & life sciences brands can stand out on LinkedIn with specific, useful content that earns attention.

09/09/2026

Research found that predictive AI adoption among U.S. hospitals rose from 66% in 2023 to 71% in 2024.

The market has moved beyond “Will hospitals use AI?”

The better questions are: Where does it improve care? How is it evaluated? Who is accountable? Does performance hold across patient populations? What happens after implementation?

For health tech marketers, adoption alone is not the story anymore. Evidence, governance and workflow fit are the differentiators.

At Sōvyn, we think communications must mature as the category matures. https://hubs.ly/Q04tK-zF0

09/07/2026

The HTI-1 rule expanded the information certified health IT must make available about predictive decision-support tools. Its framework includes 31 source attributes for predictive interventions, covering areas such as intended use, training data, validation and risk management.

That is a major shift in how healthcare AI will be evaluated and communicated.

A product page saying an algorithm is “clinically validated” is no longer enough. Which population? Which setting? Which outcome? Which limitations?

The strongest healthcare AI companies will treat model transparency as part of product storytelling, not a compliance appendix.