Despite its high prevalence, pain in older adults is under-assessed and undermanaged. Seniors with dementia, in particular, have difficulty communicating the subjective state of pain due to severe cognitive impairment. Behavioural pain manifestations in this population are often misattributed to psychiatric disturbances which are subsequently managed with antipsychotic rather than analgesic medication. Antipsychotic medication has been shown to hasten death and increase the occurrence of falls. Other deleterious consequences of undertreated pain include depression/anxiety, sleep disturbance, isolation, increased healthcare costs, longer hospital stays, and overall declines in quality of life. Our work will address this challenge and will involve the following: a) continuing development of computer vision technologies to monitor pain behaviours and warn long-term care (LTC) staff when pain appears to be present. This improved diagnostic tool will help address human resource limitations that limit the frequency of pain assessment. Our focus during AGE-WELL 2.0 will be on further improvement of our algorithm developed during Phase I, so that it works from side views of the face and in contexts where more than one patient is present. We also plan larger field testing of our system during AGE-WELL 2.0; b) app refinement and further development to facilitate the monitoring and recording of pain behaviours by LTC staff; c) refinement and dissemination of interactive web-based platforms capable of providing cutting edge pain education to LTC staff who may be residing in rural and remote areas; d) public policy work to facilitate adoption of our products and to address other policy gaps in senior care. We will continue to work with all stakeholders and anticipate that our work will improve LTC pain care practices in Canada and beyond by providing effective, inexpensive, well validated and well disseminated pain care tools.