Mobile early detection and connected intervention to coproduce better care in severe mental illness

Pauline Whelan*, Matthew Machin, Shôn Lewis, Iain Buchan, Caroline Sanders, Eve Applegate, Charlotte Stockton, Sally Preston, Robert Andrew Bowen, Zhimin Ze, Chris Roberts, Linda Davies, Til Wykes, Nicholas Tarrier, Shitij Kapur, John Ainsworth

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
159 Downloads (Pure)


Current approaches to the management of severe mental illness have four major limitations: 1) symptom reporting is intermittent and subject to problems with reliability; 2) service users report feelings of disengagement from their care planning; 3) late detection of symptoms delay interventions and increase the risk of relapse; and 4) care systems are held back by the costs of unscheduled hospital admissions that could have been avoided with earlier detection and intervention. The ClinTouch system was developed to close the loop between service users and health professionals. ClinTouch is an end-to-end secure platform, providing a validated mobile assessment technology, a web interface to view symptom data and a clinical algorithm to detect risk of relapse. ClinTouch integrates high-resolution, continuous longitudinal symptom data into mental health care services and presents it in a form that is easy to use for targeting care where it is needed. The architecture and methodology can be easily extended to other clinical domains, where the paradigm of targeted clinical interventions, triggered by the early detection of decline, can improve health outcomes.

Original languageEnglish
Pages (from-to)123-126
Number of pages4
Publication statusPublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: 19 Aug 201523 Aug 2015


  • Connected health
  • Mental health
  • Mobile Health
  • Self-management
  • Smartphone application


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