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.

Amit Trivedi from HIMSS explains the need for the International Patient Summary

The international patient summary could standardize medical data exchange globally

Amit Trivedi, HIMSS director of informatics and health IT standards, explains the purpose of the international patient summary to support global patient health data exchange.

HIMSS VP of Informatics Christine Caraballo on enterprise imaging interoperability.

HIMSS: New interoperability standard aids movement to enterprise imaging

HIMSS Vice President of Informatics Christina Caraballo, MBA, explains new interoperability standards have been proposed to enable better image sharing across hospital IT systems.

David Gruen radiologist and Merative Merge CMO speaking on radiology IT trends at HIMSS 2023. #HIMSS #HIMSS2023 #HIMSS23

Key radiology IT trends at HIMSS 2023

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

Emit Trivedi, Healthcare Information Management Systems Society (HIMSS) director of informatics and health IT standards, discussed these challenges of next-level interoperability with Health Exec at the HIMSS 2023 annual meeting. #HIMSS #HIMSS23 #HIMS2023 #interoperability

What missing pieces remain in health IT interoperability?

Amit Trivedi, HIMSS director of informatics and health IT standards, explains the remaining gaps in interoperability and how it remains a moving target.

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AI model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

Sexually transmitted infections are on the rise, warns CDC

Cases of chlamydia, gonorrhea and syphilis all rose between 2020 and 2021, totaling more than 2.5 million reported cases, according to CDC surveillance data

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

Brain imaging artificial intelligence is a primary area of concentration for AI because oif the critical nature of fast detection and treatment for patients. This is an example of the AI applications displayed by third-party advanced visualization vendor TeraRecon at RSNA 2022.

What is the ROI on AI adoption in radiology?

Radiology makes up the vast majority of FDA-cleared AI algorithms, but with minimal or no reimbursement, hospital administrators may ask whether AI’s value justifies its expense.

Around the web

Merck sent Hansoh Pharma, a Chinese biopharmaceutical company, an upfront payment of $112 million to license a new investigational GLP-1 receptor agonist. There could be many more payments to come if certain milestones are met. 

When regulating AI-equipped medical devices, the FDA might take a page from the Department of Transportation’s playbook for overseeing AI-equipped vehicles. These run the gamut from assisting human drivers to fully taking the wheel. 

Kit Crancer, RBMA board member, speaks with Radiology Business about key legislative developments on the Hill that will affect the specialty.