Sheffield’s Healthcare and AI: Delivering Next-Gen Patient Care

Sheffield’s Healthcare and AI: Delivering Next-Gen Patient Care Did you know that 90% of healthcare data has been generated in the last two years alone? You’re witnessing a digital revolution, and Sheffield’s at its heart, integrating AI to transform patient care. Imagine receiving tailor-made treatments and battling chronic diseases with smart algorithms. You’re stepping into…

The dawn of the Fourth Industrial Revolution has been characterized by unprecedented advances in technology, and one of its most transformative aspects is Artificial Intelligence (AI). It has become an intrinsic part of our lives and has made significant inroads into almost every industry, including healthcare. When you delve into the realm of AI in healthcare, it is not simply about the development of cutting-edge technology. It is about creating systems that enhance patient care, streamline processes, and contribute to a more effective healthcare delivery model.

The sophistication of AI in healthcare is astonishing. Its vistas cover a wide range of applications from basic ones like appointment scheduling, reminders and alerts, to complex ones such as predictive modelling, intelligent diagnostics, customised treatment plans, and robot-assisted surgeries. In terms of market potential, according to a report by Markets and Markets, the global healthcare AI market is expected to grow from $2.1 billion in 2018 to $36.1 billion in 2025, at a Compound Annual Growth Rate (CAGR) of 50.2% during the forecast period.

But, what sets AI in healthcare apart is its capability to personalise and humanise medicine. It mediates the paradox of modern healthcare – as healthcare services become more competent technically, they often tend to become more impersonal. AI steps in to fill this void, bridging the gap and blending the ‘high-touch’ humanistic aspects of healthcare with ‘high-tech’ advancements. It ensures that the care provided is not just predictive, but also preventive and personalised.

Working with AI in healthcare also means dealing with the complex topic of data. It is about intelligently leveraging Big Data, not just to enhance efficiency, but also to extract meaningful information which can transform how we understand, manage, and prevent diseases. As we navigate through the Age of Information, data privacy and security becomes fundamental. Therefore, state-of-the-art data encryption and tokenization methods have become a standard requirement in AI-powered healthcare software.

A shift is clearly visible in the healthcare sector towards digitization and mobility. Accenture predicts that the AI health market will hit $6.6 billion by 2021 and healthcare’s AI-powered digital revolution can’t come soon enough. Patients are no longer mere recipients of care, but empowered individuals desiring active participation, transparency, and accessibility in managing their health. AI in healthcare is about creating bespoke solutions that catalyse this process, facilitating providers to not only ‘treat’ but also ‘connect’ with their patients.

As we journey towards a future where AI and healthcare are seamlessly integrated, the focus will be on making this transition as smooth as possible. This includes creating systems that are not just technically advanced, but also user-friendly and adaptive. Essentially, in the era of digital health, the mantra is to create a system where technology and human touch go hand in hand, enhancing each other and creating a holistic healthcare experience.

You are welcome to explore more about this intriguing topic in the Artificial Intelligence In Healthcare section of our blog or browse through our other posts in our main blog area. If there’s anything you would like to discuss or delve deeper into, feel free to contact us at Sheffield Apps. We have a team of experts who would be more than happy to start a conversation with you.

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