Healthc Inform Res.  2017 Apr;23(2):135-138. 10.4258/hir.2017.23.2.135.

Rapid Collection of Opinions from Healthcare Professionals in Multiple Institutions Using Short Message Service and Google Forms

Affiliations
  • 1Department of Emergency Medicine, Hallym Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
  • 2Department of Computer Science and Engineering, Kyung Hee University, Yongin, Korea.
  • 3Department of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. leiseo@gmail.com
  • 4Department of Biomedical Informatics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • 5Division of Chronic Disease Control, Korea Centers for Disease Control and Prevention, Osong, Korea.

Abstract

No abstract available.

Keyword

Online Systems; Child; Injury; Prevention; Data Collection

MeSH Terms

Child
Data Collection
Delivery of Health Care*
Humans
Online Systems
Text Messaging*

Figure

  • Figure 1 Schematic diagram of Rapid Opinion Collecting System.


Reference

1. World Health Organization. The World Health Report 2002. Geneva, Switzerland: World Health Organization;2002.
2. Sethi D. European report on child injury prevention. Copenhagen, Denmark: World Health Organization;2008.
3. Peden MM. World report on child injury prevention. Geneva, Switzerland: World Health Organization;2008.
4. Rehani MM, Berris T. International Atomic Energy Agency study with referring physicians on patient radiation exposure and its tracking: a prospective survey using a web-based questionnaire. BMJ Open. 2012; 2(5):e001425.
Article
5. Google. Google Forms [Internet]. [place unknown]: Google;2015. cited at 2017 Apr 1. Available from: https://www.google.com/forms/about/.
6. de la Fuente Valentin L, Pardo A, Delgado Kloos C. Using third party services to adapt learning material: a case study with Google Forms. In : Cress U, Dimitrova V, Specht M, editors. Learning in the synergy of multiple disciplines. Heidelberg, Germany: Springer;2009. p. 744–750.
7. Rehani MM, Berris T. Radiation exposure tracking: survey of unique patient identification number in 40 countries. AJR Am J Roentgenol. 2013; 200(4):776–779.
Article
8. Gao F. A case study of using a social annotation tool to support collaboratively learning. Internet High Educ. 2013; 17:76–83.
Article
9. Reyna J. Google Docs in higher education settings: a preliminary report. In : Proceedings of World Conference on Educational Media and Technology; 2010 Jun 29; Toronto, Canada. p. 1566–1572.
10. Peacock JG, Grande JP. An online app platform enhances collaborative medical student group learning and classroom management. Med Teach. 2016; 38(2):174–180.
Article
11. Irvin CB, Nouhan PP, Rice K. Syndromic analysis of computerized emergency department patients' chief complaints: an opportunity for bioterrorism and influenza surveillance. Ann Emerg Med. 2003; 41(4):447–452.
Article
12. Bush LM, Abrams BH, Beall A, Johnson CC. Index case of fatal inhalational anthrax due to bioterrorism in the United States. N Engl J Med. 2001; 345(22):1607–1610.
Article
13. Chretien JP, Tomich NE, Gaydos JC, Kelley PW. Real-time public health surveillance for emergency preparedness. Am J Public Health. 2009; 99(8):1360–1363.
Article
14. Kulldorff M, Heffernan R, Hartman J, Assuncao R, Mostashari F. A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005; 2(3):e59.
Article
15. Hope K, Durrheim DN, d'Espaignet ET, Dalton C. Syndromic Surveillance: is it a useful tool for local outbreak detection? J Epidemiol Community Health. 2006; 60(5):374–375.
Article
Full Text Links
  • HIR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr