# I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management

arXiv: https://arxiv.org/abs/2012.14294 · HTML: https://mlsanity.com/paper/2012.14294/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Dec 2020.

## Built on by (most cited first, 2 of 2)

- [Resource-Limited Automated Ki67 Index Estimation in Breast Cancer](https://mlsanity.com/paper/2401.00014/) (2023)
- [Design of an Edge-based Portable EHR System for Anemia Screening in Remote Health Applications](https://mlsanity.com/paper/2507.15146/) (2025)

## Abstract (arXiv)

Epidemic situations typically demand intensive data collection and management from different locations/entities within a strict time constraint. Such demand can be fulfilled by leveraging the intensive and easy deployment of the Internet of Things (IoT) devices. The management and containment of such situations also rely on cross-organizational and national collaboration. Thus, this paper proposes an Intelligent-Health (I-Health) system that aims to aggregate diverse e-health entities in a unique national healthcare system by enabling swift, secure exchange and storage of medical data. In particular, we design an automated patients monitoring scheme, at the edge, which enables the prompt discovery, remote monitoring, and fast emergency response for critical medical events, such as emerging epidemics. Furthermore, we develop a blockchain optimization model that aims to optimize medical data sharing between different health entities to provide effective and secure health services. Finally, we show the effectiveness of our system, in adapting to different critical events, while highlighting the benefits of the proposed I-Health system.