Healthcare is moving quickly, and technology is playing a big part in that shift. The way information is collected, the way patients are cared for, and the way hospitals run are all changing.

Over the past year, our team has written about some of the most important trends shaping the future of healthcare. In this round-up, we bring together three of those articles: remote patient monitoring, big data, and generative AI.

Maybe you have been following along, or maybe one or two of these slipped past you. Either way, this is a chance to catch up on the ideas that are influencing healthcare right now.

What is Remote Patient Monitoring?

Remote Patient Monitoring (RPM) is already changing everyday care. With the help of connected devices, clinicians can see what’s happening with patients at home, step in earlier when something changes, and prevent unnecessary hospital stays.

“What is Remote Patient Monitoring?” sets out how RPM works, the devices that make it possible (from blood pressure monitors to smart inhalers), and why it is now a priority for healthcare leaders. The article shows how RPM is transforming chronic disease management, post-operative recovery, elderly care, and clinical trials, while driving down system costs by up to 40 per cent.

Digital care models like virtual wards are no longer experiments. They are reshaping the NHS and health systems worldwide, and this guide explains why.

Understanding Big Data in Healthcare

Healthcare produces enormous amounts of information every day. Patient records, medical scans, wearables, and research all add to the mix, and the real challenge is turning it into something useful. Done well, big data can improve care, reduce costs, and even speed up medical breakthroughs.

“Understanding Big Data in Healthcare” breaks down the fundamentals, including the three V’s that define it: volume, velocity, and variety. You’ll see how providers are already using data to personalise treatments, predict health trends, and cut readmissions by up to 20 per cent. The article also shows how it can shorten clinical trial times by 30 per cent and reduce costs by as much as 50 per cent.

But with opportunity comes risk. The average cost of a healthcare data breach now stands at $9.77 million, making security a top priority for every provider. The article looks at the biggest threats, the regulations shaping data use, and how technologies like Erlang, Elixir, and SAFE can help keep information secure and systems reliable.

How Generative AI is Transforming Healthcare

With adoption already valued at more than $1.6 billion, generative AI is fast becoming one of the biggest drivers of change in healthcare. The global AI in healthcare market is projected to hit $45.2 billion by 2026, reflecting the scale of its potential to improve patient outcomes, support clinicians, and make systems more efficient.

In “How Generative AI is Transforming Healthcare”, we look at how it differs from traditional AI and why its flexibility makes it such a powerful tool for the industry. The article explores real-world applications such as personalised treatment plans, predictive analytics, enhanced diagnostics, virtual health assistants, and even accelerating drug discovery.

It also considers the future of AI in healthcare, including the need to address challenges around privacy, regulation, and patient trust. With the right planning and technologies like Elixir supporting scalable and reliable systems, generative AI could help shape a new era of patient-centred care.

To conclude

That wraps up our latest healthcare round-up. We hope this guide helps you cut through the noise and get a clear picture of the trends that matter most right now.

If something here has sparked your interest, whether it’s the possibilities of remote monitoring, the power of data, or the promise of generative AI, we would love to keep the conversation going. So get in touch.

Here’s to smarter systems, healthier outcomes, and more confident decision-making in healthcare.