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.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

Up to half of medical organizations either already using or preparing to implement AI

With the number of FDA approved AI-enabled applications nearing 1,000, it’s clear the healthcare industry is ready to embrace the evolving technology.

Thumbnail

Study reveals shocking list of the most common corporate passwords

A cybersecurity firm found '123456' and '123456789' are the most common passwords used in the workplace after analyzing 2.5TB of data.

Sirona Medical

Radiology IT firm Sirona Medical raises $42M in Series C financing

The startup, which offers cloud-based software that integrates disparate elements of a rad's workflow, also named a new CEO. 

Thumbnail

Radiology practice's communication failure bears tragic consequences

After looking into the case, officials discovered that a coding error prevented the radiology report, which contained critical findings, from ever being sent to the referring provider.

Chat GPT

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

As these models continue to advance, it is important to understand how their performance holds up over time.

Incidental interstitial lung abnormalities largely underreported

Less than half of incidental interstitial lung abnormalities on CT exams are reported

This is despite experts cautioning that these findings should be "systematically and fully assessed" due to their progressive nature.

artificial intelligence robot evaluates healthcare data

Are providers too trusting of AI's advice?

“When we rely too much on whatever the computer tells us, that’s a problem."

Thumbnail

Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.