1. Patient Dossier: Healthcare queries over distributed resources
- Author
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Alfonso Valencia, Miguel Vazquez, and Barcelona Supercomputing Center
- Subjects
0301 basic medicine ,Artificial intelligence ,Computer science ,Molecular biology ,Serveis sanitaris ,Data management ,Big data ,Patient Dossier paradigm ,Internetworking (Telecommunication) ,Medical Records ,Ruby Bioinformatics Toolkit ,Workflow ,Database and Informatics Methods ,0302 clinical medicine ,Sequencing techniques ,Interoperabilitat en xarxes d'ordinadors ,Health care ,DNA sequencing ,Biology (General) ,Data Curation ,Data Management ,Data Processing ,Medical care ,Intel-ligència artificial -- Sistemes experts (Informàtica) ,Ecology ,Healthcare ,Dades massives ,Genomics ,Computational Theory and Mathematics ,Modeling and Simulation ,Perspective ,Information Technology ,Transcriptome Analysis ,Next-Generation Sequencing ,Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] ,Computer and Information Sciences ,Bioinformatics ,QH301-705.5 ,Data complexity ,Research and Analysis Methods ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Genomic Medicine ,Bigdata ,Computational Techniques ,Genetics ,Genomic medicine ,Humans ,Ecology, Evolution, Behavior and Systematics ,business.industry ,Computational Pipelines ,Biology and Life Sciences ,Computational Biology ,Genome Analysis ,Data science ,030104 developmental biology ,Molecular biology techniques ,Conceptual framework ,business ,Delivery of Health Care ,030217 neurology & neurosurgery ,Software - Abstract
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.
- Published
- 2019