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Machine learning algorithm accurately predicts mental health crises

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Machine learning algorithm accurately predicts mental health crises

Digital mental healthcare company, Koa Health, and Birmingham and Solihull Mental Health NHS Foundation Trust have announced the results of a ground-breaking machine learning algorithm that has accurately predicted mental health crises in a real-world NHS setting. The results of the study suggest that such technology could allow for early intervention and improve patient outcomes.

Koa Health developed a machine learning model that uses anonymised electronic health records to continuously monitor patients for risk of a mental health crisis. The model has been found to correctly predict more than half of the crises 28 days in advance, without a considerable false positive rate. A following six-month study evaluated Koa Health’s algorithm’s use in clinical practice. In as many as 64% of cases, the model proved clinically valuable, either in terms of managing caseloads or mitigating the risk of crisis.

Koa Health is exploring the incorporation of crisis prediction into its comprehensive mental health service as part of its aim to use technology to radically improve access to high quality support for mental health. The next step is to validate the model in other health systems, and to undertake the larger scale studies that will be required to obtain regulatory approval.

Dr. Oliver Harrison, CEO Koa Health says, Working as an NHS psychiatrist, I saw too many people arrive in our services through the Accident and Emergency Department. By the time we saw them, they were usually very sick, and had often experienced problems with their relationships, finances, employment and housing.  Putting the pieces back together was almost always expensive, time-consuming, and painful for the people involved.  We were delighted to be chosen as a Wave 1 NHS Test Bed to partner with Birmingham and Solihull NHS Mental Health Foundation Trust. We shared a vision of moving from reactive care – driven by crisis – to proactive care – driven by prediction and prevention. We have delivered outstanding results in this trial and look forward to continuing the development work. We believe this is the future of mental healthcare in the UK and worldwide.”

Dr. Aleksandar Matic, Koa Health’s R&D Director says: Prevention is widely seen as the holy grail of treating mental health problems. Using AI to predict mental health crises can enable timely and proactive instead of reactive interventions to mitigate or prevent mental health crises and truly help both patients and healthcare systems. We were so excited when the results from the clinical implementation of our model suggested that our predictions may have indeed prevented more serious symptoms. Providing the right intervention at the right time sits at the core of Koa’s approach.”

https://pf-media.co.uk/news/machine-learning-algorithm-accurately-predicts-mental-health-crises/

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