How AI Could Address Inefficiencies in the Healthcare System with Ronke Adejolu

In a recent interview, CXiO and senior healthcare systems leader, Ronke Adejolu shared her thoughts on the role of artificial intelligence (AI) in improving efficiencies within the healthcare system and its impact on frontline clinical practices. Her insights provide a nuanced perspective on how AI is both a powerful tool and a complex challenge in modern healthcare.

AI's Role in Addressing Inefficiencies in the Healthcare System

AI has been present in some form for over six decades, but its influence in healthcare has notably accelerated since the 2000s. Ronke emphasised that while AI is making significant strides, we're still in the early stages of fully leveraging its potential to address inefficiencies. AI technologies like machine learning, natural language processing, and speech recognition are increasingly being integrated into healthcare systems. For example, AI algorithms now analyse medical images like X-rays and MRIs at speeds far surpassing human capabilities, enhancing diagnostic accuracy and efficiency.

One of the most promising applications of AI is in predictive analytics, where vast data sets are analysed to optimise healthcare planning and predict potential outbreaks. This data-driven approach also supports the move towards personalised care, where treatments can be tailored based on a patient's genetic profile and medical history.

Automation is another area where AI is making an impact. By automating routine administrative tasks, AI is reducing the burden on clinical staff, allowing them to focus on more complex patient care. Virtual care and remote monitoring technologies, powered by AI, are also emerging as game-changers, enabling healthcare providers to manage patient care more efficiently and effectively, even in remote areas.

Ronke, nevertheless, issued a cautionary note: artificial intelligence (AI) is not a panacea, despite its significant benefits. There are still a lot of unknowns regarding artificial intelligence, which means that managing issues such as biases, privacy concerns, and data security is critical. As AI systems rely on large data sets, ensuring that these data sets are representative and free from bias is crucial to avoid perpetuating healthcare inequalities. Additionally, the ethical implications of AI and the need for robust regulatory frameworks must be addressed to ensure that AI is used responsibly.

AI's Impact on Frontline Clinical Practices

When asked how AI might change working practices for frontline clinicians, Ronke preferred to describe the potential impact as "enhancement" rather than "change." She believes AI can enhance the work of nurses, midwives, and allied health professionals (AHPs) by improving efficiency and allowing them to focus on patient care.

AI can automate repetitive tasks, such as clinical documentation and patient monitoring, reducing the administrative burden on frontline staff. An example of how this has transformed a maternity process at Portsmouth Hospitals Maternity will be demonstrated by Charlotte Taphouse, Digital Lead Midwife for Maternity Services, scheduled to speak at HETT this month. Predictive analytics can help clinicians manage high-risk patients more effectively by providing real-time data and insights. In an effort to reduce the burden on clinical staff, chatbots and virtual health assistants are already being utilised to deliver medication reminders and respond to frequently asked patient queries.

Wearable devices are another exciting development. These devices can continuously monitor vital signs and other health metrics, providing clinicians with up-to-date information and alerting them to potential issues. This technology is particularly valuable in remote areas where access to healthcare providers may be limited.

AI also has the potential to revolutionise training and education for healthcare professionals. Ronke highlighted the use of virtual reality and simulations, which allow clinicians to practice their skills in a safe, controlled environment without putting patients at risk. This blended approach to training, combining traditional methods with AI-enhanced tools, can help healthcare professionals stay up-to-date with the latest practices and technologies.

However, Ronke stressed the importance and need of visible collaboration, ownership and inclusive leadership of nurses, allied healthcare professionals and midwives in the implementation of AI technologies but also in structured AI roles alongside other clinical peers.

The Future of AI in Healthcare

AI is unquestionably changing healthcare, providing previously unheard-of chances to improve efficiency and enhance patient outcomes. However, as Ronke Adejolu underlines, it won't reach its full potential until ethical, security, data related, and practical issues are resolved with the greatest of attention. Leaders in the healthcare industry must place a high priority on collaboration, preserve equity, and make a sustained commitment to innovation. Now is the time to embrace AI as a critical tool in shaping a healthcare system that is not only smarter but more equitable, secure, and person centered. The responsibility lies with us to lead this transformation

Find out More at HETT North

Join us on 26th February at Manchester Central for the upcoming HETT North event to find out more about AI in the NHS.