artificial intelligence Archives - HIT Leaders and News

CMS Launches AI-Powered Fraud Detection Challenge to Safeguard Medicare Integrity

Jason Free — Wed, 03 Sep 2025 11:39:12 +0000

The Centers for Medicare & Medicaid Services (CMS) has unveiled the "Crushing Fraud Chili Cook-Off Competition," a market-driven research initiative designed to leverage explainable artificial intelligence (AI) to identify fraud indicators and propose scalable solutions within the Medicare Fee-for-Service (FFS) program. The challenge invites innovative proposals that integrate machine learning (ML) with transparency and accountability, aiming to modernize fraud detection while preserving human oversight.

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Icahn School of Medicine at Mount Sinai: AI Image Analysis Tools Like MARQO Will Force a Reckoning in Cancer Diagnostics

Jason Free — Mon, 01 Sep 2025 15:27:08 +0000

The debut of MARQO, a next-generation image analysis tool developed by researchers at the Icahn School of Medicine at Mount Sinai, marks more than a technical advancement in oncology research. It signals a strategic inflection point in the evolution of diagnostic pathology, one that challenges longstanding assumptions about speed, scale, and the role of human interpretation in cancer care.

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Ben Scharfe of Altera Digital Health on Targeted AI Adoption in Healthcare

Jason Free — Tue, 19 Aug 2025 11:16:48 +0000

Artificial intelligence is moving rapidly into healthcare workflows, but as explored in last week’s HIT Leaders & News editorial AI in Healthcare Is Moving Fast but Trust Is Moving Slowly, technology readiness does not guarantee successful adoption.

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Separating Human and AI Duties in Radiology

Jason Free — Tue, 05 Aug 2025 11:03:44 +0000

Artificial intelligence entered diagnostic imaging with predictions of either superseding radiologists or amplifying their productivity. A Radiology editorial by Pranav Rajpurkar and Eric Topol argues that neither extreme matches current reality. Field surveys from HIMSS show eight in ten U.S. health systems have piloted at least one imaging algorithm, yet most frontline readers remain uncertain when to rely on machine guidance.

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George Pappas Explains What AI Means for Cybersecurity Leadership

Jason Free — Fri, 11 Jul 2025 11:04:54 +0000

The convergence of generative artificial intelligence and healthcare cybersecurity has created a threat environment that many health systems are structurally unprepared to confront. In this week’s interview, George Pappas, CEO of Intraprise Health, a Health Catalyst company, outlines the stark realities of AI-powered attacks, and what health leaders must do to meet the moment.

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Health Systems Must Brace for Quantum and AI Threats by Modernizing Cyber and Governance Infrastructure

Jason Free — Wed, 04 Jun 2025 11:41:24 +0000

The convergence of quantum computing and artificial intelligence has introduced not just transformative opportunities but mounting threats to healthcare cybersecurity and digital governance. With post-quantum vulnerabilities looming and AI adoption accelerating across clinical and administrative workflows, hospital IT leaders are entering a new era of strategic risk, one that requires urgent recalibration of infrastructure, policy frameworks and operational safeguards.

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Health System Leaders Are Banking on AI to Fix Revenue Cycle Waste

Jason Free — Tue, 03 Jun 2025 12:11:25 +0000

The promise of artificial intelligence in healthcare has often centered on diagnostics, clinical decision support, and predictive risk modeling. But the majority of health system executives are placing their strongest AI bets in a more operational domain: revenue cycle management. A growing number of hospital and health system leaders now view AI as essential to fixing the chronic inefficiencies, error rates, and staffing burdens that plague billing, prior authorization, and claims workflows.

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Radiologists Share Tips to Prevent AI Bias

Jason Free — Thu, 29 May 2025 11:50:37 +0000

"AI has the potential to revolutionize radiology by improving diagnostic accuracy and access to care," said lead author Paul H. Yi, M.D., associate member (associate professor) in the Department of Radiology and director of Intelligent Imaging Informatics at St. Jude Children's Research Hospital in Memphis, Tennessee. "However, AI algorithms can sometimes exhibit biases, unintentionally disadvantaging certain groups based on age, sex or race."

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AI Identifies Heart Valve Disease From Common Imaging Test

Jason Free — Wed, 30 Apr 2025 13:20:59 +0000

“This AI program can augment cardiologists’ evaluation of echocardiograms, images from a screening and diagnostic test that many patients with heart disease symptoms would already be getting,” said David Ouyang, MD, a research scientist in the Smidt Heart Institute, an investigator in the Division of Artificial Intelligence in Medicine and senior author of the study. “By applying AI to echocardiograms, we can help clinicians more easily detect the signs of heart valve disease so that patients get the care they need as soon as possible.”

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Beyond the Hype: What It Takes to Actually Deploy AI in Clinical Workflows

Jason Free — Wed, 30 Apr 2025 12:27:46 +0000

It’s become a predictable cycle in healthcare IT: a high-profile partnership between a hospital and an AI vendor is announced, often accompanied by a flurry of LinkedIn posts, conference panels, and phrases like "revolutionizing care." Six months later, the project quietly disappears—no outcomes reported, no clinician adoption, no operational integration. In the rare cases where AI does survive implementation, it's typically relegated to a pilot status, siloed from real workflows and unsupported by the infrastructure required to keep it clinically meaningful. We don’t have a shortage of AI models. We have a failure to operationalize them.

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