Analytics
Encouraging healthcare consumerism among the young should be another goal, says Greg Farnum, who works in federal strategic advisory at Audacious Inquiry. He digs into these three issues for the year ahead.
The acquisition allows Sword to scale its presence in the U.S. and bring its physical therapy platform to the German market.
The Helpdesk Under Attack: Social Engineering, Emerging Threat Actors, and How Healthcare Can Defend
Emerging threat actors have redefined the attack surface—and are targeting your helpdesk. Through social engineering, impersonation, and MFA fatigue tactics, they’re bypassing perimeter defenses and are using support channels as the first step toward infiltration, lateral movement, and ransomware deployment.
Chethan Sarabu, director of clinical innovation for the health tech hub at Cornell Tech, previews his HIMSS26 talk on AI’s environmental impact and actions stakeholders can take to reduce it.
More than 2,000 post-acute facilities will have the opportunity to access admission, discharge and transfer data integrated into a patient's longitudinal record, according to the Cheese State's designated entity for health information exchange.
Success Stories & ROI
Hartford HealthCare and MIT codeveloped H2O, an analytics platform using machine learning to optimize hospital operational efficiency including improving length of stay and staffing efficiency.
The Ministry of Health and Welfare targets all 17 central hospitals in the regions to deploy AI-based systems for monitoring conditions, supporting diagnosis, and automating tasks.
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January 27, 2026
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January 27, 2026
Healthcare organizations are dealing with a surge in cyber risk as AI-powered attacks, third-party connections and expanding digital ecosystems stretch traditional defenses.
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January 27, 2026
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January 27, 2026
As cybercriminals increasingly weaponize AI in their attacks on healthcare organizations, traditional intrusion detection and manual response processes are becoming obsolete.
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January 27, 2026
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January 27, 2026
While generative AI tools are transforming clinical decision support, it’s important to understand these tools’ performance and risk before implementing them.