AI

A new survey of health care executives shows most organizations are underprepared for AI-powered cyberattacks and blind to software supply chain vulnerabilities — even as breaches and business impacts rise.

A new survey reveals growing demand for clear, digital-first communication — and rising frustration with outdated forms, inconsistent channels and clunky omnichannel experiences.

Survey data show that delays, denials and added steps tied to prior authorization are worsening patient outcomes and creating frustration — but AI may help streamline the process.

A new Qlik survey reveals a deep trust divide in how patients view AI, health data privacy and tech companies.

Collaboration will build Lumeris’ Tom platform on Google Cloud’s AI infrastructure, with the goal of increasing access to high-quality primary care for millions of Americans.

A poll of U.S. doctors reveals strong physician interest in AI’s potential, but warns of gaps in training, trust and accountability.

AI and data analytics will cut through administrative clutter and enable payers and providers to collaborate proactively, especially for “rising risk” patient groups

Stanford Medicine pilots AI-powered software helping clinicians query patient records, accelerate chart review and automate administrative decisions.

Wolters Kluwer’s new report reveals high hopes for generative AI across health care, but few organizations have the policies, training or infrastructure to make it work.

A new study finds artificial intelligence can match doctors on facts, but struggles with empathy, nuance and consistency.

Despite rising guardrails, health care workers continue using personal artificial intelligence and cloud apps — often in ways that violate HIPAA and put patients’ trust at risk.

A new study outlines how AI might support eVisits. Patients are on board, as long as doctors remain in the driver’s seat.

Leveraging intelligent automation to streamline workflows, reduce errors and elevate patient outcomes.

Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from streamlining administrative tasks to aiding in complex clinical decision-making. Tools powered by AI are being used to interpret imaging scans, predict patient deterioration, assist in diagnosis, and personalize treatment plans. While the technology holds enormous promise for improving efficiency, accuracy, and outcomes, its success depends heavily on the trust it earns from both health care providers and patients.

Consider these six proven ways physicians and other clinicians can lower costs and improve quality of care.

AI-powered prior authorization can streamline patient care, reduce abandonment, and enhance provider efficiency, ensuring timely treatment and improved health outcomes.

As use of artificial intelligence grows rapidly in health care, the American Medical Association brought together an expert panel to highlight policy changes, transparency concerns and implications for physician practices.

AI in health care faces challenges from biased training data, limiting equitable treatment. Expanding data sources can enhance its accuracy and patient outcomes.

Veradigm leverages AI to enhance real-world evidence for GLP-1 drugs, revealing insights on patient adherence, side effects, and treatment outcomes.

PCPs welcome AI as a time-saver, but new research shows that many failed to catch serious mistakes in AI-generated patient portal messages.

With one-quarter of health care spending classified as waste, AI systems built to reason—not just automate—may be key to restoring clinical capacity and operational trust.

GI Alliance partners with IKS Health to enhance revenue-cycle management with AI, streamlining operations for over 900 gastroenterologists nationwide.

Technology offers hope to physicians dragged down by prior authorizations, but there is no perfect solution.

Study warns that artificial intelligence could increase legal risk and burnout if health systems fail to support doctors.

AI-driven analytics revolutionizes primary care, enhancing chronic disease management and preventive strategies while alleviating physician burdens for better patient outcomes.

Medical Economics was on the ground in New Orleans covering the ACP Internal Medicine Meeting 2025.

AI tools are becoming more prevalent in back office operations, but they are also making inroads on the diagnostic side.

AI tools are becoming more prevalent in back office operations, but they are also making inroads on the diagnostic side.

Machine learning, a subfield of artificial intelligence, can sift through massive amounts of data to benefit physicians and patients.

AI tools are becoming more prevalent in back office operations, but they are also making inroads on the diagnostic side.