Informatics

The goal of health informatics systems is to enable smooth transfer of data and cybersecurity across the healthcare enterprise. This includes patient information, images, subspecialty reporting systems, lab results, scheduling, revenue management, hospital inventory, and many other health IT systems. These systems include the electronic medical record (EMR) admission discharge and transfer (ADT) system, hospital information system (HIS), radiology picture archiving and communication systems (PACS), cardiovascular information systems (CVIS), archive solutions including cloud storage and vendor neutral archives (VNA), and other medical informatics systems.

Radiologists need to stop using ther term "Clinically Correlate" and be more specific in reports. This term has become a joke among clinicians who see it as clinically meaningless.

If Clinically Indicated, Clinically Correlate

Radiologists are clinicians consultants. We direct clinical management based on our expert interpretation of patient images. Yet, in many cases, radiology reports may not reflect our clinical expertise. Common problems include overuse of vague terminology and omission of the impression. Addressing these flaws can go a long way toward meeting clinicians needs and improving patient care.

December 15, 2011
Cloud storage and computing is part of the Sectra enterprise imaging system at RSNA 2023. Photo by Dave Fornell #RSNA #RSNA23 #RSNA2023 #cloudstorage

Weathering the Storm: Cloud Technology & Disaster Recovery

More facilities have turned to virtualization and cloud data storage as part of the comprehensive disaster recovery plan.

November 28, 2011

KLAS: Complete CVIS remains elusive

In the era of health IT and meaningful use, many providers are looking for a one-stop shop to house all their cardiovascular reporting needs. However, in terms of the cardiovascular information system (CVIS), most users reported that their system was only 65 percent complete, and most are still looking for an all-in-one solution to meet their needs, according to an October KLAS report titled, Will the Complete CVIS Please Stand Up?

November 8, 2011

Pa. hospital chooses DR Systems' CVIS

Armstrong County Memorial Hospital in Kittanning, Pa., has selected DR Systems' Unity CVIS to meet its cardiology department's CVIS needs.

April 5, 2011

Digital pathology added to DICOM standards

The College of American Pathologists (CAP) has contributed to the expansion of the Digital Imaging and Communications in Medicine (DICOM) medical image exchange standard, Supplement 145, for the accommodation of pathology.

September 17, 2010

CVIS: Improving Departments from Within

In the current era of healthcare reform, spawned by the funding made available in the HITECH Act of February's stimulus package, there has been much discussion about producing transparent and quantifiable data on the performance of various departments.

October 9, 2009
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CVIS, Cardiology PACS Widening Image Access

For cardiology PACS, the explosion of cardiac-related advances across imaging modalities has created demand for expanded capabilities beyond simple image storage and distribution, providing physicians with access to patient-specific information related to images and reports within the facility or externally. Meanwhile, with this increased volume of image data, cardiologists also need to have access to more extensive patient data, such as hemodynamic monitoring, EKG and electronic medical record (EMR) information to create structured reports.

March 11, 2009
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CVIS: Getting the House in Order

Cardiovascular information systems (CVIS) are providing the means to integrate the business of cardiology with the practice of cardiology at the point of care—with great results for managers.

October 1, 2007

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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