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ABSTRACT: Background
The referral process between healthcare services can be complex, especially in psychiatry, leading to significant delays and 'hidden waiting lists'. Digital approaches may be helpful. The CHRONOSIG (CHRONOlogical SIGnature) project aims to improve the referral and triage process by applying machine learning (ML) technology to information in electronic health records. We used a focus group methodology to ascertain the views of patients and participants on using CHRONOSIG and similar digital approaches to support decision making in triaging referrals in difficult to treat depression, and the potential benefits and disadvantages of such an approach.Methods
A lived experience participant focus group (N = 16) was held on 25th September, 2024, with a lived experience c
SUBMITTER: Smith KA
PROVIDER: S-EPMC12801542 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature