Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

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Video of Tracy Byers, CEO, Change Healthcare, explaining trends in the PACS market at RSNA 2023. #RSNA #enterpriseimaging #PACS #HealthIT

3 transformative trends in radiology IT systems

Tracy Byers, CEO of enterprise imaging, Change Healthcare, defines three major trends in radiology informatics in a video interview.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

Monique Rasband, KLAS vice president of strategy and research for imaging, cardiology and oncology, shares the trends she is seeing with the use of cloud storage in medical imaging. 

Cloud image storage for radiology is a growing trend in healthcare

Monique Rasband, KLAS vice president of strategy and research for imaging, shares the trends she is seeing in the specialty.

Video interview with Jom Kimerle from Pure Storage who shares trends in healthcare cybersecurity. #HIMSS

Trends and tips in healthcare cybersecurity 

Cybersecurity in the healthcare sector has been a growing concern, and medical imaging is one of the largest users of off-site cloud data storage.

Video of Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explaining how the Best in KLAS rates for health informatics vendors are created.

How are the best in KLAS Health IT vendor rankings created?

KLAS conducts annual assessments of all types of healthcare information systems such as PACS, EMRs and cardiovascular information systems and ranks them. Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explains the process of ranking.
 

Kumar Aditya, director, information technology, Atlantic Health System, explains how the system automated more than 60% of its radiology prior authorization workflow.

How Atlantic Health automated its radiology prior authorization workflow

Director of IT Kumar Aditya explains how the New Jersey hospital system automated more than 60% of its radiology prior authorization workflow.

Esteban Rubens, Oracle cloud field chief technology officer for healthcare, explains cloud’s role in enterprise imaging and healthcare IT and the movement away from on-premise data storage.

More and more hospitals are using the cloud for medical image storage

Cloud data storage is growing in medical imaging as a way of simplifying workflows and providing relief to health IT teams, Esteban Rubens explained in an interview. 

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Epic and Microsoft join forces to tackle some of healthcare’s biggest AI challenges

The two companies continue to expand their partnership, this time looking to deploy generative AI to improve care delivery.

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