We’re thrilled to share the news that Mayden has been awarded further funding from SBRI Healthcare for a project to help digitally transform the patient pathway from referral to treatment for mental health services – including the triage and assessment processes.
The project aims to standardise assessment for IAPT, helping to support clinicians, reduce waiting times, improve patient experience, reduce admin, enable faster recovery and increase the number of patients that can be seen.
Through the use of predictive modelling – created in combination with clinical input, historical data analysis and NICE treatment guidelines – the project also aims to generate personalised treatment insights through the use of data-driven technologies.
Therapists will be signposted to treatment options that have been effective for patients with similar profiles and can consider those options with the patient, establishing together the best next steps for the patient to take along the care pathway.
We’re also exploring the use of predictive modelling to identify whether it is possible to predict patterns of patient engagement. If this is found to be the case, modules could be built to suggest actions that clinicians can take to engage those patients that are at risk of dropping out – such as direct messaging.
We are looking forward to working closely with services and clinicians to further understand the potential applications of machine learning in mental health.
“We’re really excited about this project as it has the potential to transform how patients receive treatment that gives them the best chance of recovery,” said Mayden’s founder, Chris May. “The NHS Long Term Plan has committed to expanding IAPT provision from around 1 million in 2018 to almost 2 million patients seen each year by 2024. To achieve this efficiently, system-level change is required. We have a remarkable opportunity to work closely with clinicians to bring about a complete digital transformation of the referral to treatment pathway, leading to improved outcomes for patients.”