Healthcare Patient Care Risk Management 
Aidoc
OCTOBER 13, 2024
The recent cyberattack on Ascension Health highlighted the vulnerabilities of connected healthcare systems and the urgent need to prioritize cybersecurity in long-term strategies. A lack of proactive measures puts both organizational reputation and, even more concerning, patients at risk.
AuntMinnie
AUGUST 5, 2024
That's what has happened to hundreds of people worldwide who have developed nephrogenic systemic fibrosis (NSF), an acquired disorder in renal patients that's been classified only since 2000. Short of a kidney transplant, NSF is difficult to manage. If you render appropriate patient care, that's the best protection."
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Aidoc
FEBRUARY 15, 2024
Having worked in healthcare technology for over 20 years, I’ve witnessed many efforts of healthcare tech languish and die on the vine. So it begs the question: how is healthcare AI any different? If we take stock of exactly where we are right now, we can see we’re at a “climatic moment” of the healthcare AI movie.
Aidoc
OCTOBER 21, 2024
While its potential to revolutionize patient care is undeniable (and increasingly being proven ), healthcare leaders remain acutely aware of the risks involved with implementation. 2,3,4 Each framework offers unique guidance tailored to specific aspects of AI risk management.
Imaging Technology
FEBRUARY 20, 2024
Synapse 7x was recently granted a Risk Management Framework (RMF) and Authority to Operate (ATO) on U.S. Synapse 7x unites data and imaging from radiology, mammography , cardiology, 3D and other enterprise imaging solutions on server-side rendering technology. Department of Defense (DoD) networks.
Median
AUGUST 20, 2021
Implementation of such processes facilitated healthcare providers to access medical images, together with EHRs (electronic health records) and HIS (Health Information System), of patients across departments and sites whenever and wherever needed. Risk Management in Radiology Departments World J.
Aidoc
JANUARY 15, 2025
While AI offers tremendous potential to improve data management and streamline patient care, the technology also introduces a variety of risks that must be carefully addressed at every stage of the adoption process from strategy and integration to change management and governance.
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