The NHS New Guide Helping Navigate AI Noise

With the potential to address various challenges, AI is increasingly being recognised as a transformative force in both clinical and administrative settings

CREDIT: This is an edited version of an article that originally appeared on NHS Confederation

The rapid growth of artificial intelligence in 2023 brought it to the forefront, raising important questions about its role in supporting healthcare. When effectively implemented in the right areas—ranging from clinical applications to administrative tasks—AI has the potential to help the healthcare system tackle a variety of challenges.

The NHS Confederation has recently released a comprehensive guide to help healthcare leaders understand AI and explore its potential. In this article, we focus on two of the key areas where AI is revolutionising healthcare management.

Optimising Staff Time

Anima, an integrated care platform, features both automation and AI modules designed to enhance patient care. In the automation module, patients complete a questionnaire that aids in triage; based on their responses, they are directed to the most suitable care pathway. The platform employs sophisticated models and algorithms to track patient journeys through triage and their outcomes, continually refining the approach for future patients with similar characteristics.

Launched in a GP practice in August 2023, Anima aims to expand across the primary care network. This use of AI not only optimises staff time but also facilitates the development of strategic plans for determining future care pathways. By analysing trends and outcomes, healthcare leaders can make informed decisions about resource allocation and care strategies.

Reducing Cancellations

Deep Medical employs a machine learning model to predict patient no-shows and last-minute cancellations. By leveraging AI, it analyses patient engagement to create personalised reminder schedules, ensuring that patients receive timely notifications about their appointments.

This capability is particularly valuable for practices, as it enables them to highlight behavioural patterns associated with no-shows that may be linked to vulnerability. By understanding these patterns, healthcare providers can implement targeted interventions, improving attendance rates and ensuring that at-risk patients receive the care they need.

For practice managers seeking to fully understand the implications and benefits of these technologies, it is essential to read the NHS Confederation’s comprehensive guide. This resource not only outlines key areas of impact but also provides crucial questions to consider when implementing AI tools in your practice setting.