Patient dossier: healthcare queries over distributed resources

As with many other aspects of the modern world, in healthcare, the explosion of data and resources opens new opportunities for the development of added-value services. Still, a number of specific conditions on this domain greatly hinders these developments, including ethical and legal issues, fragmentation of the relevant data in different locations, and a level of (meta)data complexity that requires great expertise across technical, clinical, and biological domains. We propose the Patient Dossier paradigm as a way to organize new innovative healthcare services that sorts the current limitations. The Patient Dossier conceptual framework identifies the different issues and suggests how they can be tackled in a safe, efficient, and responsible way while opening options for independent development for different players in the healthcare sector. An initial implementation of the Patient Dossier concepts in the Rbbt framework is available as open-source at https://github.com/mikisvaz and https://github.com/Rbbt-Workflows.This work has received funding from the Elixir-Excelerate project, from the European Union's Horizon 2020 Research and Innovation Programme, under grant agreement N. 676559, and from Plataforma de Recursos Biomoleculares y Bioinformáticos PT13/0001/0030. Additional support came from the Lenovo - BSC Master Collaboration Agreement (2015) and from the IBM-BSC Deep Learning Centre (2016). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer ReviewedPostprint (published version

Patient dossier: healthcare queries over distributed resources

As with many other aspects of the modern world, in healthcare, the explosion of data and resources opens new opportunities for the development of added-value services. Still, a number of specific conditions on this domain greatly hinders these developments, including ethical and legal issues, fragmentation of the relevant data in different locations, and a level of (meta)data complexity that requires great expertise across technical, clinical, and biological domains. We propose the Patient Dossier paradigm as a way to organize new innovative healthcare services that sorts the current limitations. The Patient Dossier conceptual framework identifies the different issues and suggests how they can be tackled in a safe, efficient, and responsible way while opening options for independent development for different players in the healthcare sector. An initial implementation of the Patient Dossier concepts in the Rbbt framework is available as open-source at https://github.com/mikisvaz and https://github.com/Rbbt-Workflows.This work has received funding from the Elixir-Excelerate project, from the European Union's Horizon 2020 Research and Innovation Programme, under grant agreement N. 676559, and from Plataforma de Recursos Biomoleculares y Bioinformáticos PT13/0001/0030. Additional support came from the Lenovo - BSC Master Collaboration Agreement (2015) and from the IBM-BSC Deep Learning Centre (2016). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer ReviewedPostprint (published version

Exploring Blockchain Value Creation: The Case of the Car Ecosystem

Blockchain is expected to create a variety of new opportunities for businesses. Yet, little is known about how companies can exploit business value from the technology. However, without a clear understanding of how, and corresponding adaption of business practices, the realization of value is doomed to failure. Hence, we contribute to this gap by analyzing and explicating the specificities of value creation from blockchain in the ecosystem of a car. In the course of an exploratory case analysis we conducted interviews and workshops with industry and blockchain experts from five diverse stakeholder groups. In brief, we provide early evidence that (1) blockchain enables value creation through: Distributed Product Innovation, Controlled Customer Intimacy and Shared Operational Efficiency. Further, (2) we derive guidelines and discuss learnings for other businesses aiming to leverage value from blockchain technology

Suspect Until Proven Guilty, a Problematization of State Dossier Systems via Two Case Studies: The United States and China

This dissertation problematizes the state dossier system (SDS): the production and accumulation of personal information on citizen subjects exceeding the reasonable bounds of risk management. SDS - comprising interconnecting subsystems of records and identification - damage individual autonomy and self-determination, impacting not only human rights, but also the viability of the social system. The research, a hybrid of case-study and cross-national comparison, was guided in part by a theoretical model of four primary SDS driving forces: technology, political economy, law and public sentiment. Data sources included government documents, academic texts, investigative journalism, NGO reports and industry white papers. The primary analytical instrument was the juxtaposition of two individual cases: the U.S. and China. Research found that constraints on the extent of the U.S. SDS today may not be significantly different from China\u27s, a system undergoing significant change amidst growing public interest in privacy and anonymity. Much activity within the U.S., such as the practice of suspicious activity reporting, is taking place outside the domain of federal privacy laws, while ID systems appear to advance and expand despite clear public opposition. Momentum for increasingly comprehensive SDS appears to be growing, in part because the harms may not be immediately evident to the data subjects. The future of SDS globally will depend on an informed and active public; law and policy will need to adjust to better regulate the production and storage of personal information. To that end, the dissertation offers a general model and linguistic toolkit for the further analysis of SDS