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Personalized and Preventative Care

Communication and coordination between home care providers (HCPs), their patients, and relatives today remains cumbersome. Digital platforms that connect these parties directly, allowing them to share patient data and improve communication and coordination, could enable digitally-driven improvement for healthcare. Furthermore, leveraging Artificial Intelligence (AI) to develop algorithms that assist GPs in developing personalized preventative, diagnostic and therapeutic solutions from vital signs has shown potential to optimize care processes and improve the quality of care.

This study employs meta-analytic methods to empirically test if, through the use of digital health tools, the tradeoff between short-term risk and long-term outcomes for older adults who receive home care services can be optimized. This study will generate new knowledge about the potential of enhanced monitoring, direct communication, and AI-mediated personalized healthcare solutions to improve the quality of care and reduce costs.

Preventative
Photo by timothy muza on Unsplash

Daniolou, S., Rapp, A., Haase, C., Ruppert, A., Wittwer, M., Scoccia Pappagallo, A., ... & Ienca, M. (2021). Digital Predictors of Morbidity, Hospitalization, and Mortality Among Older Adults: A Systematic Review and Meta-Analysis. Frontiers in digital health, 2, 60. external page https://doi.org/10.3389/fdgth.2020.602093

Fosch-Villaronga, E., Chokoshvili, D., Vallevik, V. B., Ienca, M., & Pierce, R. L. (2021). Implementing AI in Healthcare An Ethical and Legal Analysis Based on Case Studies. Data Protection and Privacy: Data Protection and Artificial Intelligence, 187.

Gille, F., Jobin, A., & Ienca, M. (2020). What we talk about when we talk about trust: Theory of trust for AI in healthcare. Intelligence-Based Medicine, 1, 100001. external page https://doi.org/10.1016/j.ibmed.2020.100001

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