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Summary
The study will provide the evidence that the novel technology is desired by clinicians and can be used to develop an ACCURATE and PROMPT bed-exit sensor. Rinicare plans to develop an integrated 24/7 non-invasive System to Avoid Fall Events (SAFE) that combines a thermal imaging (TI) optical sensor and bespoke algorithms on an embedded PC (EPC) into a Smart Surveillance Unit (SSU) to detect changes in a patients position in a hospital style bed. This information will be used to provide an early warning message (visual/ audio) to the clinician so the relevant action can be taken to prevent that patient falling out of the bed. The service is integrated into a new pathway of care and provides patients with digital resources for self-assessment and management in the form of engaging multi-media smartphone apps. These are integrated securely with NHS clinical systems, allowing a GP or other healthcare professionals to better monitor and advise patients.
Funding
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