The healthcare workforce crisis in Europe is being exacerbated by extreme levels of stress, anxiety and burnout among clinicians, with the knock-on effect of placing patient care at risk.
A session at HIMSS European Health Conference and Exhibition (7-9 June) in Lisbon, will examine the potential of digital tools to support staff and create a healthier and more stable workforce.
Solutions being discussed include an artificial intelligence (AI) driven platform designed to support staff resilience and wellbeing and an AI voice-powered solution that is relieving the burden on nurses by making routine follow-up calls to patients.
WHY IT MATTERS
When clinicians experience stress and burnout, it can have a profound effect not only on their own mental health, but patient care and the whole healthcare system. Wellbeing issues can lead to low morale, early retirement and long-term sick leave, putting a strain on the workforce.
Nearly a third of 636,348 respondents in the 2022 NHS staff survey said they often thought of leaving their jobs and the picture is similar across Europe. This dissatisfaction can be an added factor in fuelling industrial action, as in the UK where nurses, ambulance workers and junior doctors have all taken strike action over the last year.
If implemented properly technology can provide the opportunity to relieve the burden of stress on staff, but it is important that solutions are designed to meet clinician needs rather than add extra complication.
The session ‘Digital Solutions to Combat Staff Stress and Burnout’ on 9 June, will be chaired by Mette Maria Skjoth, PhD, head of department at Odense University Hospital, Denmark and chair of the HIMSS EMEA Advisory Board. She will be joined by speakers Alex Young, CEO and founder at virtual reality firm Virti and María González Manso, CEO and co-founder at Spanish digital health company Tucuvi.
THE LARGER CONTEXT
Across the globe, AI-driven solutions are being utilised in a bid to reduce clinician burnout from spending time on administrative duties. One example is a pilot project by electronic health records (EHR) provider Epic at the University of Wisconsin, and the University of California. This aims to test Epic’s large language model (LLM) AI capabilities to draft responses to patient communications, allowing health professionals more time to focus on time with patients.
Another example is the Suki Assistant voice AI system which is being used at the CVFP Medical Group and concierge medicine network PartnerMD to reduce the time clinicians spend on note taking.
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