From stars to patients: Lessons from space science and astrophysics for health care informatics

Big Data are revolutionizing nearly every aspect of the modern society. One area where this can have a profound positive societal impact is the field of Health Care Informatics (HCI), which faces many challenges. The key idea behind this study is: can we use some of the experience and technical and methodological solutions from the fields that have successfully adapted to the Big Data era, namely astronomy and space science, to help accelerate the progress of HCI? We illustrate this with examples from the Virtual Observatory framework, and the NCI EDRN project. An effective sharing and reuse of tools, methods, and experiences from different fields can save a lot of effort, time, and expense. HCI can thus benefit from the proven solutions to big data challenges from other domains.

[1]  Taghi M. Khoshgoftaar,et al.  A review of data mining using big data in health informatics , 2013, Journal Of Big Data.

[2]  John P. A. Ioannidis,et al.  Big data meets public health , 2014, Science.

[3]  S. George Djorgovski,et al.  Virtual Observatory: From Concept to Implementation , 2005, ArXiv.

[4]  H. Koh,et al.  Data mining applications in healthcare. , 2005, Journal of healthcare information management : JHIM.

[5]  Essa Yacoub,et al.  The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.

[6]  Aaron Golden,et al.  Astrogenomics: big data, old problems, old solutions? , 2013, Genome Biology.

[7]  Erika Check Hayden,et al.  Synthetic biologists seek standards for nascent field , 2015, Nature.

[8]  Alexander S. Szalay,et al.  Virtual Observatories of the Future , 2001 .

[9]  Kristen Anton,et al.  Bioinformatics: biomarkers of early detection. , 2010, Cancer biomarkers : section A of Disease markers.

[10]  Erika Check Hayden Synthetic biology called to order. , 2015 .

[11]  James J. Cimino,et al.  The Clinical Research Data Repository of the US National Institutes of Health , 2010, MedInfo.

[12]  Edm Forum,et al.  Informatics Tools and Approaches To Facilitate the Use of Electronic Data for CER, PCOR, and QI: Resources Developed by the PROSPECT, DRN, and Enhanced Registry Projects , 2013 .

[13]  James J. Cimino,et al.  The National Institutes of Health's Biomedical Translational Research Information System (BTRIS): Design, contents, functionality and experience to date , 2014, J. Biomed. Informatics.

[14]  Robert J. Hanisch The Virtual Observatory in Transition , 2006 .