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GALILEO: Emergency Rooms and Crowd Computing

Published: 28 September 2016 Publication History

Abstract

This research and software development project, is carried out based on a problem about the clinical context in Bogotá D.C., Colombia. It seeks through a web and mobile application, to inform citizens who are looking for, or moving to an emergency room, about the population status in which it is at the moment, in order to reduce the number of patients present in there by proposing some less saturated centers to the user. The latter, in order to expose a possible solution to the health crisis that exists in the city and the overcrowding that occurs especially in its medical centers.

References

[1]
Herring, A. A., Ginde, A. A., Fahimi, J., Alter, H. J., Maselli, J. H., Espinola, J. A., ... & Camargo Jr, C. A. (2013). Increasing critical care admissions from US emergency departments, 2001-2009. Critical care medicine, 41(5), 1197.
[2]
D. Murray, E. Yoneki, J. Crowcroft and S. Hand. The case for crowd computing. August 30, 2010, Available: http://dl.acm.org/citation.cfm?id=1851334.
[3]
Waze. (n.d.). Retrieved June 01, 2016, from https://www.waze.com/es-419
[4]
Ries, E. (n.d.). The lean startup: How today's entrepreneurs use continuous innovation to create radically successful business.

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Published In

cover image ACM Conferences
SIGITE '16: Proceedings of the 17th Annual Conference on Information Technology Education
September 2016
188 pages
ISBN:9781450344524
DOI:10.1145/2978192
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2016

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Author Tags

  1. crowd computing
  2. human centered computing
  3. social computing
  4. validated learning
  5. web and mobile technology

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SIGITE/RIIT 2016
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SIGITE '16 Paper Acceptance Rate 26 of 67 submissions, 39%;
Overall Acceptance Rate 176 of 429 submissions, 41%

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