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.

Cardiovascular information systems (CVIS) combine imaging and reporting into one system that allows access across the cardiovascular service line. Here are 7 trends in CVIS according to KLAS.

VIDEO: 7 trends in cardiovascular information systems seen by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains a few of the key technology trends in cardiovascular information systems (CVIS).

Validation and testing of all artificial intelligence (AI) algorithms is needed to eliminate any biases in the data used to train the AI, according to HIMSS.

VIDEO: Understanding biases in healthcare AI

Validation and testing of all algorithms is needed to eliminate any biases in the data used to train the AI, according to Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America.

Heart studies under fire for allegedly manipulating data

Three medical journals are investigating possible manipulation of data in heart studies led by researchers from Temple University that found favorable health impacts of blood thinners.

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VIDEO: Use of AI to address health equity and health consumerization

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains the use of artificial intelligence (AI) algorithms to help address health disparities and the rise of healthcare consumerism.

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VIDEO: AI can help prevent clinician burnout

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, discusses how artificial intelligence (AI) can help combat clinician burnout.

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

VIDEO: 9 key areas where AI is being implemented in healthcare

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains considerations for healthcare system information technology (IT) management teams on the implementation of artificial intelligence (AI). He also discusses ideally how AI should be integrated into medical IT systems, and some of the issues AI presents in the complex environment of real-world patient care." #AI #HIMSS

VIDEO: How hospital IT teams should manage implementation of AI algorithms

Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America, explains considerations for healthcare IT teams on the implementation of artificial intelligence (AI).

Examples of new plaque reporting in the CAD-RADS 2.0 document. Left, an example from CAD-RADS 2 / P2 plaque burden with mild coronary stenosis (25-49%). Right, example of a CAD-RADS 5/ P3, with a focal, non-calcified occlusion of the proximal RCA (arrow) and severe amount of plaque (P3). #CADRADS #YesCCT #CTA #CCTA

New CAD-RADS 2.0 reporting for coronary CTA offers patient management recommendations

The document includes updated classification to established a framework for stenosis, plaque burden and plaque modifiers, including assessment of CT-FFR or myocardial CT perfusion.

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.