
Language-First Interoperability in Healthcare: A Promising Shift or a Risky Shortcut?
Health data exchange is more structured than ever. But often, it’s still painfully slow.
Health data exchange is more structured than ever. But often, it’s still painfully slow.
Did you know nearly 70% of physicians say their EHR systems slow patient care down rather than help it? This is what a survey by MPI Group found. What’s more, 1 in 3 nurses report EHRs as a key burnout factor, often citing slow load times, clunky workflows, and poor usability.
The healthcare sector is full of paradoxes. It's one of the most advanced sectors in science, and one of the slowest to change. Hospitals deploy robotic surgeons and gene therapies, yet still fax patient records and manually code billing forms.
Did you know that 92% of healthcare organizations faced a cyberattack in the past year? Moreover, the average cost of a data breach in healthcare now tops $9.77 million, according to Ponemon Healthcare Cybersecurity Report 2024.
What if getting healthcare help felt effortless? Every question answered instantly? Today, patients wait on hold or in crowded waiting rooms. Staff are stretched thin. Costs keep climbing. Clinicians drown in paperwork. Isn’t it time for smarter help?
Healthcare is drowning in data. The industry now generates nearly 36% of the world’s data, producing 10,800 exabytes of information in 2025.
Is AI development a luxury or a necessity? Let's discover if it's worth the investment for your business.
You will definitely agree that AI has totally changed how businesses operate. It's used in customer support, inventory management, marketing, and more. However, to get real results, companies need a clear, well-planned AI implementation strategy.
Artificial Intelligence is a truly mixed blessing. While it offers incredible advancements, one of its most unfortunate aspects is becoming a powerful weapon in the hands of bad actors. In most cases, AI security risks include data theft and disruptions to critical digital operations.
Clinical trials generate vast amounts of data. According to the World Health Organization, only the USA conducted almost 6,000 clinical trials in 2024 and 186,497 over the last 25 years. Managing all this data precisely and efficiently is essential for medical research to progress.
Digital transformation is an inevitable consequence of technology development, impacting every existing industry. Technological progress also affects corporate banking, transforming the way financial organizations operate, provide services, and communicate with their corporate clients.
Did you know that nearly 90% of people prefer doing their work by others? We all strive to delegate tasks and focus on more important aspects of our work. Luckily, in software development, artificial intelligence has introduced a game-changing solution: AI code-writing assistants.
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