Precision medicine offers a path for healthcare to become more proactive, more personalized, and more effective for every individual with a far more sustainable cost curve.
While there is a significant need and opportunity to address this overall spend with advanced AI tools that predict patient needs and readmission likelihood, intrinsic biases within these algorithms ultimately cause more harm than good and financial savings are being achieved at the expense of patient’s health.
CEO and neuroscientist Dr. Iftach Dolev on how the new device can bring a powerful tool to psychiatrists and neurologists alike.
As we see companies release more solutions targeting the revenue cycle, it’s time to distinguish excitement from impact.
In a sector where delays are measured in lives, early detection, lower attacker dwell time, and system-level misdirection can literally save lives. By marrying preemptive and deceptive technologies, organizations can blunt the attack surface while simultaneously exposing hidden threats before damage is done.
There is no question the pressures are heavy, but there is also an opportunity for organizations to rethink how they deliver care, how they support the people they serve, and how they invest limited resources.
By involving highly experienced therapists and mental health administration experts from the beginning of development of new tech, we not only build tools that are more effective, but also build trust and confidence among clinicians.
In a landscape where complexity has long been the norm, the power of one lies not just in unification, but in intelligence and automation.
Data is fueling the AI revolution, but it must be aligned with solving business challenges.
GenAI has real promise, but it’s also bringing real risks. It is not about whether we should use it but how we can use it responsibly and with positive outcomes.
Providers like to think they built their brand in the exam room, in the skill of surgeons or the bedside manner of nurses. And that’s definitely part of it. But your brand is also being built (or destroyed) in the billing office, on the prior-auth line, and the moment patients open their statements.
The cruel irony is that incredibly effective treatments already exist. Many people, however, cannot access them due to barriers to care
Across the nation, state-based health insurance exchanges are searching for ways to better serve their communities while making enrollment easier, more personal, and more accessible for everyone.
AI transforms incident data with the ability to analyze large volumes of reports, surface patterns and highlight problem areas. These insights allow hospital leaders to not only identify trends but also anticipate risks and take more targeted steps to improve patient safety.
The shortfalls that accompany this technology gap touch everything from continuity of care and outcomes to the patient experience.
Healthcare organizations must orient their models around outcomes rather than technology and capabilities alone — and that can be done through novel accountable partnerships built on a care enablement platform.
AI voice agents can improve call center customer service - here are some things to consider when exploring options.
We are on the cusp of being held accountable not just for what we did wrong, but for what we failed to do, especially when readily available, life-saving technology could have made a difference.