Literature DB >> 30032958

Do CHANGE platform: A service-based architecture for secure aggregation and distribution of health and wellbeing data.

Idowu Ayoola1, Mart Wetzels2, Peter Peters3, Sander van Berlo4, Loe Feijs5.   

Abstract

Over the last decade, the adoption of open API standards offers new services meaningful in the domain of health informatics and behavior change. We present our privacy-oriented solution to support personal data collection, distribution, and usage. Given the new General Data Protection Regulations in Europe, the proposed platform is designed with requirements in mind to position citizens as the controllers of their data. The proposed result uses NodeJS servers, OAuth protocol for Authentication and Authorization, a publish-subscribe semantic for real-time data notification and Cron for APIs without a notification strategy. It uses Distributed Data Protocol to control and securely provision data to distributed frameworks utilizing the data and those distributed applications are exemplified. The platform design is transparent and modularized for research projects and small businesses to set-up and manage, and to allow them to focus on the application layer utilizing personal information. This solution can easily be configured to support custom or new data sources with open API and can scale. In our use cases, maintaining the separate ecosystem services was trivial. The adopted distributed protocol was the most challenging to manage due to its high RAM usage. And implementing a fine-grained privacy control by end-users was challenging in an existing clinical enterprise system.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Data aggregation; Data distribution; Health services; IoT; Personal data; Privacy; Security

Mesh:

Year:  2018        PMID: 30032958     DOI: 10.1016/j.ijmedinf.2018.06.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  1 in total

1.  A Parser to Support the Definition of Access Control Policies and Rules Using Natural Languages.

Authors:  Marco Rosa; João Paulo Barraca; André Zuquete; Nelson Pacheco Rocha
Journal:  J Med Syst       Date:  2019-12-23       Impact factor: 4.460

  1 in total

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