Collaboration and information sharing is a core component of healthcare. This was made apparent during the COVID-19 pandemic: Local, state and federal agencies, along with individual organizations, needed to track the spread of infection and share data locally, nationally and internationally.
Over the past several years, the public health sector has been eager to push forward with data and infrastructure...
Artificial intelligence, and especially newer generative AI technology, is an incredibly powerful tool that may completely transform how business is conducted.
For example, generative AI can quickly comb the large language models and data sets that it’s been trained with in order to uncover obscure or hidden connections that might take a human a much longer time. This makes it...
Weak cybersecurity can damage a healthcare organization’s reputation, especially if it results in a high-profile attack that compromises the personal data of staff and patients or steals other sensitive or legally protected information. Many health systems have limited staff, resources and budget to put toward cybersecurity, even though they are under constant threat.
One solution that can extend cyber defensive...
Large language models — generative artificial intelligence tools that process and generate text — are proving popular in healthcare. Because LLMs can respond to diverse prompts and process complex concepts, they show promise for augmenting medical research, patient education and clinical documentation.
That said, models trained on general data often fall short when it comes to nuanced healthcare questions. A...
Cyberattacks targeting healthcare organizations are rising, and the financial and operational toll they take is growing.
A recent report from Proofpoint found 92% of healthcare organizations reported experiencing a cyberattack in 2024, up from 88% in 2023, while the average cost of the most expensive attack was $4.7 million.
While safeguarding sensitive patient data remains a top concern, malicious actors are...
