Doccla is a company providing remote patient monitoring and virtual wards to NHS trusts. The Doccla model is “designed both to support earlier discharge and to prevent avoidable admissions, particularly for those with long-term conditions.”
There is already evidence for Doccla’s effectiveness, with the NHS seeing a 61% reduction in bed days, an 89% reduction in GP appointments, and a 39% drop in non-elective admissions. Not only has this AI-driven software improved efficiency, it is also reportedly saving the NHS approximately £450 a day compared with the cost of a hospital bed, the company says. Figures suggest that for every £1 spent on such technology, the NHS saves an estimated £3 compared with non-tech models.
Mr Macdonnell said, “At Doccla, we use machine learning to identify patients at risk of deterioration before they reach crisis point. Continuous data from clinical-grade wearables like oxygen saturation, blood pressure and ECGs, are analysed with medical records to detect early warning signs.”
The insights are allowing clinical teams to intervene sooner and manage larger caseloads compared with more traditional systems. AI may also be having a positive effect on clinician’s mental states, helping reduce administrative burden. For instance, large language models (LLMs) are being used to streamline clinical notes and present complex information to patients in a more accessible way. AI is not expected to replace clinicians, only make them more effective, so clinicians reading this can breathe a sigh of relief.
Clinical trust in this technology remains low and this will only grow through transparency and further evidence of success. Predictive models must also deliver accurate and fair outcomes in diverse patient groups before being deployed at scale in real-world clinical settings.
As the UK’s NHS works to move more care away from hospitals and into the community, with its “Fit for the Future: 10 Year Health Plan for England,” AI stands at the forefront of this transformation. The future of AI healthcare is set to allow patients to remain more independent and receive the care they need in familiar surroundings.
(Image source: Pixabay under licence.)
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