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Will Moving Your Cloud PACS Back On-Site Really Save You Money?

Purview

Healthcare industry finances are still rocky post-pandemic. Malpractice insurance premiums continue to rise. Many smaller practices are feeling the pressure to cut back on expenses. Independent practices struggle with decreasing reimbursement rates. There is a tremendous cost burden to keep up with regulatory pressure.

PACS 52
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The PACSman Pontificates: Is radiology ready for AI and vice versa?

AuntMinnie

How someone can extrapolate findings from a study conducted overseas with less than 100 participants in a publicly funded healthcare system and present it as a universal truth to over 49,000 radiologists in the U.S. Can you separately charge for AI based on reimbursement from either insurance, private payers, or until the U.S.

Radiology 111
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The PACSman Pontificates: The PACSstradamus Prophecies

AuntMinnie

My PACS will still readily show me the wrong comparison study. As such, PACS remains the priority. Integrating AI with PACS also needs to be seamless and unless an end user is willing to accept who their provider has selected as an AI partner a consolidator is the best answer. Some low balls to fix before mandatory AI.”

PACS 111
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Reimbursement issues give impetus to AI adoption

AuntMinnie

and insurance-based healthcare systems where reimbursement is a necessity, such frameworks are necessary to discern which technologies should be reimbursed. are cardiac CT and liver MRI; this finding is supported by CMS and commercial insurance coverage and reimbursement. Insurance Claims (nejmgroup-production.org)

Insurance 114
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Rad Perspectives: Reflecting on 2019 Healthcare AI Predictions

Aidoc

ROI, Insurance Codes, and Value-Based Reimbursement Financial considerations were and always will be major concerns for AI adoption in medicine, but in the the post-pandemic recession of 2020, they were foremost. The post Rad Perspectives: Reflecting on 2019 Healthcare AI Predictions appeared first on Healthcare AI | Aidoc Always-on AI.

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Quibim’s AI-based Early-stage Neurological Disease Quantification Software for Quantification of Early Brain Atrophy and Lesions Authorized for Use in US, EU and UK

Imaging Technology

In order to resolve the issue, healthcare institutions require advanced and versatile quantitative AI-based tools that can also provide secure transfer and storage of patients’ data and augment the workflow of clinicians. This solely human-based approach means that neuro diseases are often only detected in their later stages.

Disease 52
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Demystifying How Medical Images Are Managed

Median

Download our: Medical Imaging in Oncology Review brochure here DICOM, PACS, RIS, EHRs, HIS, VNAs Accessibility and efficiency have been key drivers of innovation (as well as a multitude of acronyms!) the development of the RIS (Radiological Information System), which complements a PACS). CT scans, X-rays).