In the current Cyber Threat environment, companies must have strong cyber liability insurance. Policies must specifically account for cyber-physical risks and the substantial costs of post-market remediation, including mandatory software patches and patient notifications. Insurers are well aware of the 524B mandate and are increasingly requiring proof of compliance before issuing coverage or offering favorable rates. How do you assure your cyber risk plan insurable?
A recent survey of 2,000 UK patients found one in four patients (24%) already use AI for health guidance, and nearly one in three (30%) would be willing to consult AI or social media rather than wait to see a clinician. Despite this growing reliance on digital tools, the same survey revealed a disconnect in patient confidence, with almost 80% reporting that they do not feel fully in control of their healthcare. How might ChatGPT Health accelerate this shift, as well as what needs to happen to ensure AI adoption genuinely empowers patients rather than adding further complexity?
The initial fear that the artificial intelligence and machine learning evolution will replace humans is shifting. A new narrative recognizes the potential for an AI-enabled workforce — one where the technology is a jobs creator, enabling us all to be more productive rather than making millions of people redundant or obsolete — actually giving rise to the multi-disciplinary, power employee.
The FDA announced the TEMPO pilot, an approach to encourage the use of digital technologies that meet people where they are. The pilot supports innovative tools and a health care delivery model that could improve care for millions of Americans managing chronic disease.
AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to deliver real-time insights. This allows for prompt escalation or de-escalation of treatment and enhances patient outcomes. These technologies also help reduce staffing issues and prevent clinician burnout by continuously monitoring patient risk and supporting decision-making in busy ICU settings.
A digital companion, purpose-built for surgical patients’ pre- and post-operative journeys, is now an imperative for providers, payers, and medtech leaders aiming to achieve competitive differentiation, clinical excellence, and sustainable business value.
President Trump’s 2025 executive order establishing artificial intelligence (AI) in pediatric cancer as a national priority marks a turning point in medicine. For decades, childhood cancer treatments have advanced slowly, constrained by limited data, small clinical trials, and therapies designed for adults. The convergence of AI and Functional Precision Medicine (FPM) now offers a path to faster, more accurate, and more personalized treatments for children, one that replaces population-based best guesses with evidence-driven precision care.
Examines the increasing strain on caregivers in home-based care models, the level of support they need for various stages of care, and how improved technological devices and infrastructure can help alleviate their burden.
Hospitals are adding more connected devices than ever before—from patient wearables to asset tracking systems. Yet this digital transformation is being bottlenecked by an antiquated power infrastructure dependent on single-use batteries that create waste, demand constant maintenance, and compromise device reliability.
To navigate increasingly complex global regulations and rising market expectations, organizations are embracing the Intelligent MedTech Lifecycle: a unified, data-driven approach that breaks down silos and drives agility across the entire product journey.
