The numbers don’t lie – there’s a growing challenge in healthcare. From December 2015 to 2018, one of the most pressured specialties was Gastroenterology with the total number of patients on the waiting list for a new appointment increasing by 20%. This area saw outpatient demand double over 10 years from 2007. Moreover, in December 2017, 30% of patients were waiting longer than the standard 12 weeks before seeing a doctor. These were the significant challenges faced by NHS Lothian.
Increasing capacity by employing more doctors might seem like the only solution. However, we sought to find an answer in an unlikely spot. Our AI Studio noticed that there were parallels between the way doctors review patient letters and how retailers review customer communications. Every day, customer service staff sift through customer enquiries to decide the priority and type of query the customer has. Not too dissimilar to what specialist doctors are doing when reading through patient referral letters to decide how urgently a patient needs to be seen and for what.
For Kishan Pattni, who works within the AI Studio, this was the lightbulb moment, realising that some of the techniques used in training AI to learn the meaning of customer service queries, could be repurposed to interpret medical referral letters.
It’s something that we knew we could help the NHS automate, having previously used AI to solve the same act of triaging in the retail space, but whilst we were confident in the concept, we didn’t want to underestimate the scale of the challenge. Our AI Studio ventured on, working in collaboration with doctors, hospital process experts, and regulatory specialists to build a solution.