Owing to the large-scale public health crisis arising from the Coronavirus Disease 2019 (COVID-19), the global health system could not adequately deal with the entirety of infections. Consequently, improvisations meant to complement the healthcare systems in remedying the pandemic emerged. “Hospital-at-home” improvisations include the use of wearable technology to triage patients within households before consulting the health institutions. The wearable devices collect physiological and activity data in order to detect or predict the prevalence of the disease.

Unfortunately, Do-It-Yourself health improvisations expose citizens to security vulnerabilities and interoperability challenges. This study proposes the adaptation of a prototype developed prior to the pandemic in securing smart homes and to interoperate health wearable devices used in detecting the prevalence of COVID-19 before symptoms manifest. Focus is placed on 1) Integration of wearables from different vendors to ensure interoperability using the Mozilla WebThings gateway on Raspberry Pi; 2) Use of Hyperledger Fabric Blockchain to secure the data and allow for the implementation of legal restrictions through software. The proposed user-centric wearables architecture enhances data privacy through edge and fog computing, whilst opening up Smart Homes to General Data and Protection Regulations (GDPR)-inspired “data portability” and personal data monetization opportunities.