Background In a rapidly aging population, new and efficient ways of providing health and social support to older adults are required that not only preserve independence but also maintain quality of life and safety. Objective The NEX project aims to develop an integrated Internet of Things system coupled with artificial intelligence to offer unobtrusive health and wellness monitoring to support older adults living independently in their home environment. The primary objective of this study is to develop and evaluate the technical performance and user acceptability of the NEX system. The secondary objective is to apply machine learning algorithms to the data collected via the NEX system to identify and eventually predict changes in the routines of older adults in their own home environment. Methods The NEX project commenced in December 2019 and is expected to be completed by August 2022. Mixed methods research (web-based surveys and focus groups) was conducted with 426 participants, including older adults (aged ≥60 years), family caregivers, health care professionals, and home care workers, to inform the development of the NEX system (phase 1). The primary outcome will be evaluated in 2 successive trials (the Friendly trial [phase 2] and the Action Research Cycle trial [phase 3]). The secondary objective will be explored in the Action Research Cycle trial (phase 3). For the Friendly trial, 7 older adult participants aged ≥60 years and living alone in their own homes for a 10-week period were enrolled. A total of 30 older adult participants aged ≥60 years and living alone in their own homes will be recruited for a 10-week data collection period (phase 3). Results Phase 1 of the project (n=426) was completed in December 2020, and phase 2 (n=7 participants for a 10-week pilot study) was completed in September 2021. The expected completion date for the third project phase (30 participants for the 10-week usability study) is June 2022. Conclusions The NEX project has considered the specific everyday needs of older adults and other stakeholders, which have contributed to the design of the integrated system. The innovation of the NEX system lies in the use of Internet of Things technologies and artificial intelligence to identify and predict changes in the routines of older adults. The findings of this project will contribute to the eHealth research agenda, focusing on the improvement of health care provision and patient support in home and community environments. International Registered Report Identifier (IRRID) DERR1-10.2196/35277

BACKGROUND In a rapidly ageing population new and efficient ways of providing health and social support to older adults are required that not only preserve independence but also maintain quality of life and safety. OBJECTIVE The NEX project aims to develop an Internet of Things integrated system coupled with Artificial Intelligence to offer unobtrusive health and wellness monitoring to support older adults to live independently in their home environment. The primary objective of this study is to develop and evaluate the technical performance and user acceptability of “The NEX system”. The secondary objective is to apply machine learning algorithms to the data collected via the NEX system to identify and eventually predict changes in the routines of older adults in their own home environment. METHODS Mixed methods research (online survey and focus groups) was conducted with 426 participants including older adults (aged 60 and above), family caregivers, health care professionals and home care workers to inform the development of the NEX system (Phase 1). The primary outcome will be evaluated in two successive trials (the Friendly Trial (Phase 2) and the Action Research Cycle trial (Phase 3). The secondary objective will be explored in the Action Research trial (Phase 3). For the Friendly Trial, 7 older adult participants aged 60 years and above and living alone in their own homes for a 10-week period were enrolled in the trial. Thirty older adult participants aged 60 years and above and living alone in their own homes will be recruited for the Action Research trial for a 10-week period (Phase 3). RESULTS Phase 1 of the project (n=426) participants was completed in December 2020 and Phase 2 (n=7 participants for a 10-week pilot study) was completed in September 2021. The expected completion date for the third project phase (30 participants for 10-week usability study) is June 2022. CONCLUSIONS The NEX project has considered the specific everyday needs of older adults and other stakeholders which have contributed to the design of the integrated system. The innovation of the NEX system lies in the use of IoT technologies and AI to identify and predict changes in the routines of older adults. The findings of this overall project will contribute to the e-Health research agenda focusing on the improvement of healthcare provision and patient support in home and community environments.

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