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.
AI doesn’t need to be a black box — and hospitals don’t need to invest based on blind faith. With the right structure, questions, and metrics in place, healthcare leaders can cut through the hype and make decisions that actually drive value.
Explore top PTSD treatment centers in Arizona, offering personalized care, holistic therapies and expert support to help individuals heal and reclaim their lives.
The rapid advances in AI and smartphone technologies hold promise for many stakeholders in the healthcare system — providers, payers, pharmaceutical drugmakers and public health agencies — that need to understand what's happening with the patient in real time.
Now is the time for senior living leaders to act and re-imagine what resident-centered, modern care can look like, today and in the future.
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.
Some hospitals are turning to AI to help manage declining revenue and financial pressure, but one expert says success depends on more than just buying new tech. Prashant Karamchandani of Chartis urges health systems to pair AI adoption with foundational work like change management, continuous improvement and operating model redesign.
Break down the silos. Take control of your provider data.
The conference will explore ethical considerations for AI in healthcare, how the healthcare industry is managing the teething challenges of AI "hallucinations", practical concerns such as efficacy and ROI, and more. Register today!
Technology that offers tools that conform, de-identify, link and aggregate data and data science tools like AI, machine learning and advanced analytics, can help those researching rare diseases overcome the hurdles they face in discovery and development.
The widespread investment in AI furthers economists’ optimism about a “roaring 20’s” of worker productivity on the horizon. However, this will not take place in health care without accompanying systemic and organizational actions that rethink what we financially incentivize, how we integrate new technologies, how we shift tasks, and how we prepare the workforce.
There are two changes that could transform the entire system. If we can do these two things, the entire market improves. Not everyone will win, but the good products, the good distributors and the good platforms will rise to the top.
The home care industry is booming. As Baby Boomers age and more families seek in-home solutions for loved ones, demand for home care services is at an all-time high.
A new report by Paubox calls for healthcare IT leaders to dispose of outdated assumptions about email security and address the challenges of evolving cybersecurity threats.
Healthcare doesn’t reward shortcuts. It rewards outcomes. AI will play a critical role in shaping those outcomes — but only if leaders measure what truly matters. The best AI implementations elevate expertise, improve quality and create space for innovation.
Cohere Health introduced a new tool for payers called Review Assist. It is meant to support health plan clinical staff with prior authorization reviews and other use cases.
To be clear, this doesn't mean healthcare organizations should adopt LLMs tomorrow. But what’s changed is that the primary obstacle - cost at scale - is no longer the immovable obstacle it once was. For healthcare leaders who have been watching the AI wave from the sidelines, this is the moment to move from curiosity to action.
Those who recognize that AI governance is an innovation enabler will be able to align business priorities and AI investments — and make smarter decisions about which models to accelerate, and which to retire — ultimately leaving the enterprises better positioned to achieve ROI on their AI.