As a veteran of multiple healthcare startups, it’s hard not to become immune to claims of technological developments which will “revolutionize patient care”.
To be fair, revolutionary changes do exist. Telehealth for example, enabled by the combination of AI and cloud technology, has revolutionized the access patients have to robust diagnostic services. Yet, telehealth with its data fragmentation and current clinical diagnostic limitations, still has serious challenges
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Providers & Payers: Prepare Now for CMS Prior Authorization Final Rule
The new administration shed light on policy issues at the top of providers’ lists for 2025. While topics like physician burnout and Medicare payment reform were included, unsurprisingly, prior authorization remains at the forefront, as proven by entities like the American Medical Association, who represent more than 270K providers. Improvements in the prior authorization and interoperability space have been historically stalled due to lack of standard data and public reports, as technology
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Health Equity 2.0 – Bridging Health Equity Gaps with AI Agents
Despite decades of panels, pledges, and policy proposals, healthcare inequity remains a systemic issue in day-to-day experience of the American healthcare consumer. The data is overwhelming - patients in lower-income ZIP codes have worse healthcare outcomes, people of lower socio-economic tiers are more likely to suffer from preventable conditions. Access to timely, quality care is still a privilege. Equity in healthcare is different from the equity discussion that’s playing out right now in
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Artificial Intelligence Integration with Epic EHR: Promise and Practicalities
The integration of artificial intelligence into healthcare environments represents one of the most significant technological shifts in the industry today. For organizations running Epic, which powers the electronic health records of approximately 250 million patients across major health systems, the question is no longer if AI will transform their operations, but how and when. As healthcare IT leaders navigate this landscape, they face complex decisions balancing technical feasibility, clinical
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5 Trends Reshaping Radiology RCM in 2025: AI, Automation, and The Road Ahead
Artificial intelligence (AI) is transforming radiology practices through improved diagnostic accuracy, efficiency, and patient care. Just as it analyzes images for subtle patterns and anomalies, AI is emerging as an essential tool for streamlining billing, increasing efficiency, and maximizing collections.
CEOs, CFOs, practice managers, billing leaders, and practice owners must stay ahead of emerging trends to remain competitive, efficient, and profitable. Every radiology practice
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Policy/Regulation: Why Health Systems Must Re-evaluate Risk Management for 2025
The flurry of proposed economic and healthcare policy changes coming out of Congress and the new administration are creating a lot of challenges and uncertainty for healthcare systems across the U.S.—financially, legally and operationally. This should be a call to action for every provider to take a hard look at the risks they face and the ability of their organization to respond.
Consider some of the policy proposals being put forth and their potential implications on your
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The Hidden Costs of AI in Healthcare: What Hospitals Aren’t Being Told
Artificial intelligence (AI) is undeniably the hottest topic in innovative technology today. Many healthcare vendors are opting to capitalize on this buzz by positioning themselves as “AI companies” with the promise of “effortlessly” transforming health systems’ operations, patient care, and the bottom line.
The allure of streamlined workflows, improved patient outcomes, and data-driven insights generate significant interest among the industry’s leaders and decision-makers, all tasked
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Healthcare’s Phone Problem: How to Rebuild Consumer Trust in the Age of Scam Calls
Generative Artificial Intelligence (GenAI) is revolutionizing all types of businesses, including healthcare. With its ability to generate as well as analyze content, GenAI is helping providers with diagnostic and treatment decisions, informing medical research, and giving patients tools to better understand their health conditions.
However, the vast potential of GenAI brings with it security risks. The healthcare community understands the delicate balance needed around issues of data privacy
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Patients Welcome AI in Hospitals: A Shift from Fear to Trust in 2025
Healthcare providers often worry that new technology will alienate patients—that it will feel impersonal, experimental, or even intrusive. But when it comes to AI in hospitals, the story is surprisingly different. Research shows that patients don’t fear being observed—what they fear is being ignored. Rather than resisting oversight, many welcome it if it means they’re being actively cared for.
To understand this paradox, last year we surveyed nearly 500 adults over 40 about their comfort with
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Agentforce: How AI Agents Are Integrated into Healthcare
AI agents are arguably one of the most avant-garde trends in Artificial Intelligence (AI). Recently, Salesforce has made a push into this territory with its Agentforce solution. This platform is designed to build and deploy trusted assistive and autonomous AI agents for healthcare. Could this development mark a significant turning point in healthcare operations? Let's explore.
AI Agents: The Next Evolution Is Here
For businesses, the allure of AI agents is quite attractive.
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