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Check out our community’s HealthcareCybersecurity predictions: Bill Murphy, Director of Security and Compliance at LeanTaaS As we enter 2025, AI is revolutionizing cyber threats in concerning ways. Generative AI will accelerate proactive threat hunting and attack path analysis, addressing vulnerabilities before breaches occur.
As the next phase in the evolution of interoperability, SDC allows for the secure and near real-time sharing of health data between devices at the point of care, regardless of the manufacturer. Traditionally, we think about interoperability as HIEs (health information exchanges), but in 2024 I expect to see new models emerge.
The following is a guest article by Preston Duren, Vice President of Cybersecurity Operations at Fortified Health Security The need for adequate cybersecurity has never been higher for the nation’s hospitals and health systems.
Hospital interoperability platform Olinqua is partnering with FiveP , maker of a a role-based messaging app for Microsoft Teams called Baret. Healthcarecybersecurity company Clearwater received a patent for Predictive Risk Rating within its IRM|Analysis software.
Ensure all technologies interoperate seamlessly to maximize benefits and minimize noise, enabling the security team to focus on genuine alerts. John Chenoweth, Chief Product Security Officer at Elekta Healthcare organizations must prioritize technology selection and move beyond merely checking compliance boxes to achieve true security.
Interoperability and health data exchange: Ensuring seamless data flow between different systems and platforms. Equity and access to digital health: Addressing disparities in access to technology and ensuring inclusive healthcare. Cybersecurity and data privacy: Protecting sensitive patient information in a digital environment.
This technological shift comes at a time when the healthcare industry is facing the effects of payer/provider health system consolidation in combination with increased regulatory policies and processes related to data standardization and interoperability.
ML has unlocked the capability to streamline the management and analysis of large, complex datasets produced by these new technologies. As we enter 2024, we can expect to see more focus on a common bottleneck in healthcare: interoperability. More patients have been exposed to AI than ever before, as well.
Rapid issue correction triggered by changes in performance, which involves root-cause analysis, data updates, and model retraining to uphold accuracy. Continuous performance monitoring to promptly detect changes in low-performing algorithms and drift early.
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