The healthcare industry is undergoing a profound transformation, driven by the rapid adoption of digital technologies such as electronic health records (EHRs), telemedicine and artificial intelligence (AI). While these innovations enhance patient care and operational efficiency, they also expose the sector to significant cybersecurity risks, particularly ransomware attacks and business email compromise.
As cybercriminals increasingly target healthcare institutions, it’s important...
Near the end of 2024, the U.S. Department of Health and Human Services announced its intention to update the HIPAA Security Rule to improve cybersecurity protections around electronic protected health information.
The comment period closed March 7, but there’s still uncertainty about whether anything will move forward under the new administration. This has healthcare organizations re-evaluating their cybersecurity strategies, especially...
Artificial intelligence continues to be a major focus in healthcare. As organizations deploy their own solutions to support clinicians and guide patients through their care journeys, they’ll find that retrieval-augmented generation may be key to improving tools using large language models.
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Imagine going to see your doctor and having to carry paper copies of all your medical records with you. That has been the case for many patients whose healthcare organizations have not embraced the integration of workflows, such as electronic health records, and the interoperability of health information systems.
Now imagine the resulting challenges: gaps in providers’ knowledge about their...
Healthcare organizations rely on many core applications to keep operations running, including electronic health record systems, customer relationship management tools and enterprise resource planning solutions, to name a few.
They’ve made a significant investment in these applications, and they’ve captured a lot of valuable data through them. Unfortunately, that can mean data is siloed in disconnected environments, unable to be...
Many healthcare organizations have already implemented artificial intelligence tools, while others are considering which AI use cases will bring the greatest ROI. However, rather than rushing into AI adoption, healthcare IT leaders should first ensure that foundational technologies and policies are in place.
At HIMSS25 in Las Vegas, HealthTech spoke with IT leaders about how healthcare organizations can be better...
For healthcare organizations to access data from multiple sources, modern data platforms are the keys to success, particularly with artificial intelligence. Healthcare organizations have moved beyond operating in silos when it comes to data management.
Today’s modern data platforms incorporate hybrid or cloud capabilities, data governance, a centralized cloud-based infrastructure and computing power for real-time analytics.
“Modern healthcare data platforms provide...
In fast-paced healthcare workplaces, efficiency and accuracy are essential. Honeywell SwiftDecoder streamlines how healthcare professionals scan and process critical information, ensuring improved operational efficiency.
“Honeywell has transitioned our 50-year expertise in barcode hardware and turned it into a pure software application,” says Theodore Newman, senior manager of global application engineering for Honeywell.
Barcode scanning plays a vital role in patient safety,...
Computer vision is a type of artificial intelligence designed to replicate the way humans see and understand the world around them. The AI camera takes in visual information, and the algorithm processes the data and learns from it to perform tasks.
The use of computer vision in healthcare is expected to grow quickly over the next decade. The global market...
Artificial intelligence can only be effective if the data it’s trained on is accurate and high-quality. For healthcare organizations considering AI applications involving the use of data, it might be time to revisit their data governance.
At HIMSS25 in Las Vegas, HealthTech spoke with healthcare data leaders on the key factors needed for data governance success, as well as best...
