The Bot Will See You Now: Why Clinicians Need AI Accountability
Instead of taking a blind-trust approach to automation, consider a humans-in-the-loop strategy.
Instead of taking a blind-trust approach to automation, consider a humans-in-the-loop strategy.
Here are five guidelines to help employers balance health outcomes and financial responsibility to ensure that GLP-1 coverage is effective, affordable, and aligned with improved health and workforce well-being for employees and their families.
See how Particle Health is transforming medical data into actionable insights.
The last mile of care isn’t where the work ends — it’s where value begins. The most advanced analytics mean nothing if they can’t be activated by the people delivering care.
The right technology infrastructure enables organizations to link their teams and achieve better care outcomes while improving operational efficiency and developing lasting resilience.
The industry needs smart conversations that challenge assumptions and invite the full spectrum of voices to the table to ensure technology evolves in a way that’s not only clinically sound, but ethically aligned with what patients and providers need most.
By keeping our AI and ML grounded in real-world medicine, we can shape a future where prior authorization works smarter, faster, and better for everyone involved.
Kyna Fong joins us and shares how AI in being deployed in their platform.
Ultimately, the benefits of establishing a data-driven culture reach far beyond improved analytics. It enables a smarter, faster, and more inclusive decision-making process that leads to better care for patients, reduced provider burnout, and stronger financial resilience
This is not a burden primary care should bear alone. It’s an opportunity to strengthen the connection between mental health providers and medical professionals and build a care model that reflects how people actually seek help.
As the adoption of artificial intelligence (AI) advances in healthcare, key considerations can help validate that the technology is purpose-built to help clinicians protect patient safety.
The trouble is that our technical colleagues know how to build beautiful products, but most have not worked within the four walls of healthcare, very seldom within the operating room. As a result, they do not know what will work or what is sufficient to drive engagement. What's needed is collaboration.
Dickon Waterfield discusses why Lantern's navigation works.
Modern trial designs, digital solutions and a deeper understanding of patient realities are helping to open research to more people, including women and others who have historically been underrepresented.
We are living in a moment when many realize that collaboration yields better, faster and more affordable advances. Open source also enables the potential for bigger profits and revenue. What’s in reach: a small amount of money paid for treatments across millions of people, rather than expensive lifesaving treatments only for the few who can afford them.
The MedTech industry has demonstrated remarkable resilience in navigating uncertainty, and 2025 promises to be a pivotal year as the election supercycle concludes and AI regulatory frameworks become clearer.
What if these two worlds weren’t at odds? What if they were two parts of the same story, waiting to be brought together for the benefit of all?
While clinical collaboration platforms have already made a significant impact, there is still much work to be done to ensure that every hospital has the tools and protocols in place to respond to sepsis with the urgency it demands.