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.
Two Imperatives for the Future of Diagnostics: Adaptability and Digitalization to Unlock the Potential of AI
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.
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A Path to Healing: Discovering Arizona’s PTSD Treatment Centers
Explore top PTSD treatment centers in Arizona, offering personalized care, holistic therapies and expert support to help individuals heal and reclaim their lives.
Generation Generative: What Healthcare Marketers Need To Know About Generative AI
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.
Behavioral Health Has A Data Problem. Health Plans Are Sitting On The Solution
It’s not that the data isn’t there. We have years of claims, pharmacy, and clinical data that can tell who’s at risk for serious behavioral health disorders, who’s currently being treated for them, and what actually works. The problem is how health plans are looking at all that data.
Is Your Practice’s Payment System Holding You Back? Ask These 3 Key Questions
Efficient payment processing plays a central role in the success of healthcare practices, shaping everything from staff productivity and cash flow to patient satisfaction.
Closing the Gap Between Patient Care and Operations with Smarter, Scalable Tech
The right technology infrastructure enables organizations to link their teams and achieve better care outcomes while improving operational efficiency and developing lasting resilience.
The Human Algorithm: What AI Can’t Replace in Pharma Engagement
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.
Five Key Considerations for Integrating Virtual Care into Your Practice
Virtual visits have demonstrated solid potential to expand access, reduce in‑office congestion, and support continuity of care, but implementing these tools successfully relies on careful planning and strategy.
The Secret To Improved Population Health Management May Be In Our Pockets
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.
Why HIPAA Compliance Is Both a Challenge and Opportunity for EMS Providers
From mobile documentation to emergency handoffs, EMS providers handle sensitive patient information in fast-moving environments. Understanding how HIPAA applies — and how to comply — can improve care, reduce risk, and build systemwide trust.
From Hype to Impact: How Pharma Can Use Agentic AI to Drive Efficiency and Trust
Success with agentic AI won’t come from racing to adopt the flashiest tools. It will come from strategic alignment, understanding where AI can create real value, mitigating risk through thoughtful implementation, and ensuring transparency and oversight at every step.
Solving Healthcare’s Provider Data Problem Starts with Interoperability
Break down the silos. Take control of your provider data.
Physician-led AI: Unlocking Clinical Productivity In Prior Authorization
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.
Beyond Technology: Aligning AI Tools with Systemic Change in Healthcare
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.
How Smarter Metrics Can Unlock AI’s Potential in Healthcare
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.
What OpenAI’s o3 Price Drop Means for the Future of AI in Healthcare?
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.
AI Governance: Building Trust and Transparency for Healthcare AI
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.