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.

RSS icon
Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in the market for radiology PACS. She said the biggest overall strategic technology trends are wider adoption of enterprise imaging systems expanding beyond radiology to include other departments, migration to cloud data storage, and adoption of artificial intelligence. Components of these integrate into the 5 trends in radiology IT systems outlined below.

5 key trends in PACS and enterprise imaging from Signify Research

Signify Research explains several key trends in the evolution of radiology PACS and enterprise imaging systems, including adoption of artificial intelligence, streamlining workflow, implementing structured reporting and more.

February 15, 2023
Cybercrime

Another ransomware warning for healthcare providers: North Korean attacks

Healthcare and public health organizations have been alerted to another ransomware threat––this time from the Democratic People’s Republic of Korea (DPRK).

February 14, 2023

Q&A: What healthcare providers should do after a data breach

Health Exec caught up with Rob Kim, chief technology officer at digital solutions provider Presidio, to understand what healthcare organizations should do after a data breach.

February 14, 2023
Why is cloud computing is being adopted in radiology? Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in radiology PACS and enterprise imaging system in the market in terms of cloud adoption. She said there has been rising interest in adopting cloud over the past few years, and the COVID pandemic showed amity healthcare systems the value of having a cloud-based system for easier remote access to patient data and imaging.

Cloud storage helps solve radiology IT and cybersecurity issues and is growing

Amy Thompson, a senior analyst at Signify Research, explains why radiology is rapidly adopting cloud data storage solutions.

 

February 13, 2023
An example of artificial intelligence (AI) automated detection of a intracranial hemorrhage (ICH) in. a CT scan used to send alerts to the stroke acute care team before a radiologist even sees the exam. Example shown by TeraRecon at RSNA 2022.

FDA has now cleared more than 500 healthcare AI algorithms

More than 500 clinical AI algorithms have now been cleared by the FDA, with the majority just in the past couple years.

February 6, 2023
An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade. Example from Cleerly Imaging at SCCT 2022.

Legal considerations for artificial intelligence in radiology and cardiology

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

February 3, 2023
tech_ed.png

Interoperability among hospitals is improving

Overall, hospital engagement in three domains of interoperability––receiving data, finding data and integrating data––have significantly increased since 2017.

February 3, 2023
Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI).

VIDEO: Who gets sued when radiology AI fails?

Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI).

February 2, 2023
Displaying 97 - 104 of 1167

Around the web

AI in Healthcare
About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?

This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.

Cardiovascular Business
FDA announces new recall of delivery catheters after patient’s death

The recall includes specific lots of five different medical devices used to treat stroke and other neurovascular diseases.

Cardiovascular Business
FDA warns against use of troubled heart devices, citing ‘continued concerns’ after multiple recalls

The agency is urging healthcare providers to transition away from these devices and seek out alternatives. It is even working with other manufacturers to try and get similar products on the market as quickly as possible. 

Design by Adaptive Theme
Trimed Popup
Trimed Popup