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 systems, artificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

Outsourcing may actually be adding to in-house radiologists' workloads
As organizations turn to external services for help, it is becoming increasingly important for leaders to evaluate how this practice impacts patient care and the bottom line.
Vetting imaging orders for appropriateness represents a 'substantial hidden workload,' new data show
This practice ensures patients undergo imaging that is appropriate for their clinical indication and reduces the likelihood of unnecessary exams being completed.
FDA: AI-powered medical devices ‘simply providing information’ are not subject to regulation
During a recent segment on Fox Business, Food and Drug Administration Commissioner Martin Makary, MD, clarified new guidance on AI, meant to provide companies with the flexibility to gather and provide data without the agency's approval. However, medical devices that provide "clinical-grade" data will still need to be cleared.
Current imaging AI systems can be repurposed to address future pandemics, study asserts
Experts say these new findings represent “a significant advancement in the field of radiology."
GPT-4o outperforms radiologists at CT protocoling
Context is the key to accurate and effective large language model protocoling for CT scans, according to new research.

Outsourcing may actually be adding to in-house radiologists' workloads

As organizations turn to external services for help, it is becoming increasingly important for leaders to evaluate how this practice impacts patient care and the bottom line.

Vetting imaging orders for appropriateness represents a 'substantial hidden workload,' new data show

This practice ensures patients undergo imaging that is appropriate for their clinical indication and reduces the likelihood of unnecessary exams being completed.

FDA: AI-powered medical devices ‘simply providing information’ are not subject to regulation

During a recent segment on Fox Business, Food and Drug Administration Commissioner Martin Makary, MD, clarified new guidance on AI, meant to provide companies with the flexibility to gather and provide data without the agency's approval. However, medical devices that provide "clinical-grade" data will still need to be cleared.

Chest radiograph in a 53-year-old woman with confirmed coronavirus disease 2019, or COVID-19, pneumonia. The patient had fever and cough for 5 days. Multifocal patchy opacities (arrows) can be seen in both lungs. Image courtesy of RSNA. What COVID looks like ob CT medical imaging.

Current imaging AI systems can be repurposed to address future pandemics, study asserts

Experts say these new findings represent “a significant advancement in the field of radiology."

ChatGPT large language models radiology health care

GPT-4o outperforms radiologists at CT protocoling

Context is the key to accurate and effective large language model protocoling for CT scans, according to new research.

New York-based radiology group hit by data breach

During the breach, certain files within the group's network were accessed and copied without permission.

New York invests over $309M in statewide health projects, including $33M for Epic integration

In total, 22 facilities will benefit from the money, provided by the Statewide Health Care Facility Transformation Program. Projects include cybersecurity upgrades and telehealth implementation, in addition to EHR upgrades.

ST-RADS scoring system for predicting risk of soft tissue tumor malignancy

Scoring system outperforms standard radiology reports for predicting soft tissue tumor malignancy

The Soft-Tissue Tumor Reporting and Data System (ST-RADS) is an MRI framework that was designed to assess the risk of soft tissue tumors and help providers in managing the finding.