Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

Data breach affecting 11 physician practices confirmed to impact 627K patients

The cyberattack occurred in May 2025, when vendor ApolloMD's network was compromised. The full scope of the breach was reported to HHS on Feb. 10. An infamous ransomware group claimed credit for the attack and threatened to release a data trove on the dark web. It's unclear if any ransom was paid. 

artificial intelligence in radiology medical imaging interpretation

Combining structured reporting with AI drastically reduces turnaround times

Both structured reporting and AI support have been touted as promising solutions for streamlining workflows while also making radiologists' results more consistent.

Cybersecurity lock

OIG audit of hospital’s cybersecurity finds vulnerabilities in common web applications

Neither the health system nor the applications were named. Investigators with the U.S. Department of Health and Human Services Office of the Inspector General said they were able to perform a successful phishing attack and breach a portal lacking firewall support. The agency released a report containing the full details.

Sectra, Agfa, Infinitt and other notable radiology vendors among the 2026 Best in KLAS

Data contained in the rankings reflect the experiences of thousands of providers and payer organizations, making the designation a coveted achievement for vendors. 

2026 Best in KLAS rankings examine cardiovascular information systems, hemodynamic solutions

The annual rankings, based on survey responses and interviews, include a fresh look at some of most important tools in cardiovascular care. 

Walter Wiggins, MD, PhD, a neuroradiologist and director of clinical AI at Mosaic, explains how large language model (LLM) artificial intelligence is increasingly being used in radiology to extract structured data from narrative radiology reports to improve workflow, and to help validate, monitor and improve other AI tools being used in clinical practice.

How Radiology Partners is using large language models to monitor AI deployment

This type of tracking helps a practice understand how radiologists interact with AI, whether they're appropriately rejecting incorrect results, and if the technology is improving detection of important findings.

Network peer to peer P2P learning web communication interoperability

HHS exploring how to bolster medical imaging exchange across healthcare ecosystem

The Office of the National Coordinator for Health Information Technology recently released a call for public comment on the work of radiologists

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Integration challenges may hinder trust in radiology decision support tools

Authors of a new paper caution that integrating CDS tools “is as much an organizational and cultural process as a technological one."