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Development of:
● An accessible interface, script and logic for conducting a bot administered validated frailty survey (e.g. PRISMA) in multiple outreach settings;
● The data structures for data collected at nodes in the patient pathway;
● Methodologies to ‘push’ timely information to key professionals in health, social care to catalyse their collaboration.

Elucidation of:
● How the BOT strengthens pathway integrity and resilience through enforced systematisation (i.e. to be effective, reliable and equitable);
● BOT and Screening technology interoperability;
● Key usability challenges that could prevent clinical and eHealth/ICT acceptance/uptake;
● Standards compliant secure data transfer across services;
● Complex analysis of data derived from diagnostic instruments and qualitative screening processes to standardise referral decision making and automate escalation throughout the patient pathway.

Using acoustic and motion sensors, carer notes and medical records, we aim to develop machine learning algorithms to detect changes in health and behaviour which signal the onset of health events relating to respiratory diseases.

These signals will be used to suggest interventions for early prevention to increase care efficacy.