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.

An example of the CV Wizard clinical decision support (CDS) software showing a screen designed to help patients better understand their risks and areas they need to work on. It is graphically based to enable patients who have a lower level of literacy better understand their cardiovascular risks, rather than using a long text report.

Clinical decision support may improve cardiac care at low-income community health centers

Evidence shows this technology has the potential to improve care for vulnerable patients with cardiovascular disease.

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Radiology leaders call on imaging community to create blueprint for digital image exchange by 2024

With technology now enabling seamless data transfer, it has become “unacceptable” to force patients and their families to hand-deliver images, experts charged in JACR.

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Up to 63% of additional findings from CT-guided procedures are not included in procedural reports

More than 70% of those results held clinical significance, prompting providers to call for enhanced communication practices.

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Emergency providers, radiologists must communicate critical reports more effectively

Follow-up action was lost in 20% of critical radiology reports, with the emergency department particularly guilty, experts reported in PLOS One.

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Free-text radiology reports hold clues for managing incidental pancreatic lesions

Stanford researchers developed a natural language processing tool to automatically extract useful measurements, sharing their process in Radiology: Artificial Intelligence.

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Freely available algorithms ID venous thromboembolsims from radiology reports

Organizations may utilize these natural language processing tools during research and quality improvement projects.

Intelerad Unveils New Cloud-Native Disaster Recovery Solution at RSNA 2021

Designed to provide secure, isolated and immutable copies of all medical images with unlimited capacity services, Cloud DR mitigates the risks against natural disasters, human error, technological failure or cybersecurity breaches amongst hospitals, healthcare systems and radiology practice groups.

RSNA21: Referring providers receive radiology reports 35 minutes faster under structured framework

Turnaround time improvements are likely due to the fewer number of edits required from the initial draft to finalized report.