
How to Take Out the Data Garbage and Create AI Gold
If healthcare leaders hope to demonstrate ROI on AI investments, reduce clinician burnout, and meet compliance requirements, they must first ensure the integrity of their clinical data.
If healthcare leaders hope to demonstrate ROI on AI investments, reduce clinician burnout, and meet compliance requirements, they must first ensure the integrity of their clinical data.
While this kind of innovation and change can be challenging and is often a significant investment, it represents a powerful combination that can benefit individuals, healthcare professionals, and laboratories.
At a time when AI is reshaping pharma, Reverba Global CEO Cheryl Lubbert explained in an interview why empathy, context, and ethics still require a human touch.
If you want your company’s website to pop up on the right side of an AI-generated response, it’s crucial to build rich, authoritative content so that AI crawlers find your site and use your information to generate these overviews, leading patients to your digital front door. Here are some practical ways to do that.
We can’t ignore what AI makes possible: faster diagnoses, smarter workflows, better use of limited resources, and more personalized care at scale. If we get this right, we can build a system that works better for everyone, not just the few who can afford concierge care or live near major medical centers.
As AI tools continue to evolve, they promise to empower clinicians and administrators with actionable insights, improve patient outcomes, and create more resilient healthcare systems.
The right technology infrastructure enables organizations to link their teams and achieve better care outcomes while improving operational efficiency and developing lasting resilience.
Break down the silos. Take control of your provider data.
In this whitepaper, ProviderTrust outlines the overwhelmingly positive survey results and compares them to our experiences getting up close and personal with the provider data in question.
We're getting close to the July 19 deadline for submissions. Don't miss this opportunity to pitch your company to a team of investors at INVEST Digital Health in Dallas on September 18!
At a time when AI is reshaping pharma, Reverba Global CEO Cheryl Lubbert explained in an interview why empathy, context, and ethics still require a human touch.
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.
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.