@inproceedings{4f960043b6eb47c19c9173ae2597e0e1,
title = "Community Healthcare: Safety, Privacy, and Usability of Smart Health Home Technologies",
abstract = "Healthcare is in transition. The new model of healthcare promotes prevention rather than treatment, and healthcare delivery is shifting from hospital and clinic to home. Smart Health Home (SHH) integrates technologies of smart health and smart home to enable new modes of healthcare delivery. The framework for integrating resources to make SHH available for practical use is yet to be established. We propose a micro-meso-macro framework that combines individual (micro), community (meso), and population (macro) levels of healthcare system. Key technologies, including Internet of Things, blockchain, smart contracts, and federated learning, are combined to facilitate implementation of healthcare delivery at SHH. Early detection and fast responses to health emergencies are enabled by a set of rules that serve to direct and distribute information at the meso-level within each community, while implementation in terms of health and public health outcomes is at micro or macro level.",
keywords = "Blockchain, Emerging Technologies, Federated learning, Privacy-preserving, Smart health home, Smart healthcare system",
author = "Tianhong Cai and Xiang Zhang and Yinglun Li and Stuart McDonald and Vladimir Brusic",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024 ; Conference date: 22-02-2024 Through 23-02-2024",
year = "2024",
doi = "10.1109/ic-ETITE58242.2024.10493747",
language = "English",
series = "2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024",
address = "United States",
}
