How AI boosts healthcare providers' experiences and profits

AI is making a tangible impact in healthcare, with 83% of providers reporting improved experiences. Here’s how it’s transforming medicine. http://spr.ly/6049f7NsH

Sage Growth Partners recently recleased their AI in healthcare survey with 101 hospital C-suite leaders. While the group remains positive: - 83% say AI will improve clinical decisions. - 75% say it’ll cut costs. - 67% are already spending on patient care AI, 66% on admin AI The plan of action to implement remains unclear: - Only 13% have a real strategy. - 12% even trust the algorithms. - 10% are actually pushing adoption. The battle isn’t in more pilots or surveys. It’s in building trust, reliability, adoption and implementing these systems in production. I would be curious to know some strategies that have worked for people to move from pilot to production in healthcare. Report link in comments #aiinhealthcare #healthcareRCM

AI is transforming every corner of healthcare: from virtual assistants to clinical agents. But without coherence, these innovations remain fragmented. In my latest article, I explore The Model Context Protocol, the missing layer that can unify healthcare AI for smarter, connected, and patient-centric outcomes #Brillio #ADAM #futureofhealthcare #healthcareAI

“AI is changing healthcare—and at a scale I’ve never seen in my time as a leader,” says Jonathan Perlin, MD, PhD, president and CEO of Joint Commission. The Joint Commission and Coalition for Health AI (CHAI) have released initial guidance to help health systems govern AI responsibly, with playbooks and a voluntary certification program on the way. https://lnkd.in/gaqHgmBy

AI in healthcare is moving from telling us what might happen, to doing something about it. For years, predictive AI has been the star of the show. We’ve used it to forecast readmissions, flag chronic disease risks, and estimate claim denials. These insights are valuable, but they often stop at awareness. The next frontier—Agentic AI—goes a step further: it doesn’t just predict, it acts. Imagine a system that doesn’t just warn of a likely readmission, but: Proactively schedules a follow-up within the patient’s coverage window. Triggers prescription refill requests before adherence drops. Submits prior authorization paperwork directly to payers, reducing delays. From an application architecture perspective, this leap isn’t trivial. Our healthcare systems were built around decision-support, not decision-execution. Agentic AI demands new design principles: Workflow evolution: Clinical and administrative processes must shift to accommodate autonomous actions. Safety and governance: Guardrails, audit trails, and role-based oversight become non-negotiable. Interoperability: True orchestration requires deep integration across EHRs, payer systems, and third-party services. The real challenge isn’t just building smarter models—it’s reimagining the plumbing of healthcare IT to ensure agentic systems act responsibly, transparently, and in ways that clinicians and patients can trust. If we get this right, we move beyond insights that sit in dashboards to actions that reduce administrative burden, improve patient experience, and accelerate care delivery. 💡 Question for you: As we prepare for agentic AI in healthcare, what do you see as the single most critical safeguard—technical or ethical—that must be in place before we allow systems to act on their own?

A significant 72% of healthcare organizations worldwide are expected to incorporate AI technologies for patient monitoring in the coming years. This statistic underscores the increasing reliance on advanced technologies in healthcare, aiming to enhance the efficiency and accuracy of patient care. While adoption rates are promising, the sentiment among patients remains mixed. For instance, about 60% of patients express discomfort with healthcare providers heavily relying on AI for medical care. Concerns about losing the human element in healthcare are prominent, highlighting a critical balancing act between innovation and personal touch in patient interactions. As AI continues to grow in the healthcare sector, it will be vital to address these concerns while promoting understanding of the technology’s potential. What are your thoughts on AI's role in healthcare? Are you optimistic or concerned about this shift? https://lnkd.in/ecehWWUh

From automating administrative tasks to improving diagnostics and patient care, AI agents are more than a trend - they’re ushering in a new era of healthcare efficiency. The Svitla team’s article outlines real-world examples of automation, predictive agents, and conversational tools in medicine, plus what’s ahead. 👉 Link is here: AI Agents in Healthcare - https://lnkd.in/gpeanigV Svitla Systems, Inc. #HealthTech  #AIinHealthcare #SvitlaSystems #SvitlaTeam

Are you deploying AI in your healthcare system? Mitigate AI risks in healthcare and maintain safety, fairness, and trust. Find out why establishing standardized approaches to local testing and demanding transparency from vendors allows healthcare systems to confidently implement AI solutions. https://okt.to/0gpDnr #AIinHealthcare #HealthcareRiskManagement #HealthTech

TODAY's HEALTH-AI BUZZ REVOLUTIONIZING PATIENT CARE: HOW AI IS TRANSFORMING THE NHS The latest in Healthcare AI The future of healthcare is here, and it’s powered by artificial intelligence. 🚀 The NHS is at the forefront, piloting groundbreaking AI tools designed to dramatically improve patient outcomes and operational efficiency. This isn't just about technology; it's about delivering smarter, faster, and more proactive care for everyone. Key insights from recent trials reveal the immense potential: ▶︎ Deterioration AI, being trialled in six NHS trusts in the North West, is predicting patient decline up to six hours earlier than current systems, enabling timely interventions. ▶︎ Capacity AI is optimizing bed management and patient flow in two trusts, helping to alleviate system pressures and enhance resource allocation. ▶︎ These AI tools function as "intelligent assistants" for clinicians, augmenting human expertise rather than replacing it, empowering healthcare professionals with enhanced predictive capabilities. ▶︎ The overarching goal is to significantly improve patient outcomes, reduce operational costs, and alleviate the intense pressure on healthcare systems. ▶︎ Successful integration hinges on high-quality, diverse data, robust ethical governance, and a clear understanding by clinicians to build trust and ensure safe, effective use. This wave of AI adoption signals a paradigm shift in healthcare delivery. Beyond immediate efficiency gains, it promises a more proactive, personalized, and predictive approach to care. The NHS's pilots demonstrate tangible benefits, setting a crucial precedent for global healthcare systems grappling with similar challenges. It's clear that AI is not just a tool, but a strategic partner in delivering high-quality, sustainable healthcare solutions for the future. What are your thoughts on AI's transformative role in shaping the next generation of healthcare? Share your perspective below! 👇 #HealthcareAI #NHSInnovation #DigitalHealth #AIinMedicine #PatientCare #HealthTech #FutureofHealthcare #AIforGood We hope you liked the buzz or today Connect with us for more on health-AI #AI #healthcare #news