Skip to main content

Strategy to Develop a Digital Public Health Observatory Integrating Business Intelligence and Visual Analytics

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 721)

Abstract

One of the challenges in the public health sector is to improve individually and collectively life quality of the population. The availability of digital tools for the manipulation and visualization of information helps to address this challenge, due to the agility to understand the events, the facility to analyze situations, and the support to the decision-making process based on facts and not in assumptions. Currently, there are projects oriented to support decision-making in the health sector. However, it is not clear how they are developed, nor how information should be shown to facilitate the interaction of different types of actors. These issues motivate the present work that is a strategy for the creation of a digital public health observatory to integrate concepts, tools, methods and methodologies of Business Intelligence and Visual Analytics. The validation of this proposal in the National Institute of Health (Colombia) shown the opportunity to improve support decision-making process.

Keywords

  • Business intelligence
  • Visual analytic
  • Health observatory

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-73450-7_42
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   369.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-73450-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   469.00
Price excludes VAT (USA)
Fig. 1.

References

  1. Ministerio de Salud y Protección Social, Vigilancia en Salud Pública. https://www.minsalud.gov.co/salud/publica/epidemiologia/Paginas/vigilancia-salud-publica.aspx. último acceso 06 May 2017

  2. Gómez Dantés, H., Arreola Ornelas, H., Lozano, R., Knaul, F.M.: Observatorio de la Salud: una iniciativa para América Latina y el Caribe. Fundación Mexicana para la Salud e Instituto CARSO para la Salud, México, D.F. (2008). http://dgces.salud.gob.mx/ocasep/doctos/doc_09.pdf. último acceso 06 May 2017

  3. Evelson, B.: Want to know what forrester’s lead data analysts are thinking about bi and the data domain? (2010). http://blogs.forrester.com/boris_evelson/10-04-29-want_know_what_forresters_lead_data_analysts_are_thinking_about_bi_and_data_domain

  4. Bigatti, C., Grasso, M: Bi – data warehouse (2005). http://www.edutecne.utn.edu.ar/sist-gestion-II/Apunte%20BI.pdf

  5. VisualAnalytics.eu. What is visual analytics? (2012). http://www.visual-analytics.eu/faq/. últmo acceso 06 May 2017

  6. Hanrahan, P., Stolte, C., Mackinlay, J.: Selecting a visual analytics application (2009). http://mkt.tableausoftware.com/files/selecting-visual-analytics-app.pdf. último acceso 06 May 2017

  7. Schlegel, K., Sallam, R., Yuen, D., Tapadinhas, J.: Magic quadrant for business intelligence and analytics platforms (2013). http://www.gartner.com/technology/reprints.do?id=1-1DZLPEP&ct=130207&st=sb

  8. Así vamos en salud. http://www.asivamosensalud.org/. último acceso 06 May 2017

  9. Observatorio de Salud Pública de Santander. http://saludsantander.gov.co/web/. último acceso 06 May 2017

  10. Goicochea, A.: Resumiendo el “magic quad- rantfor business intelligence platforms 2012” (2012). https://anibalgoicochea.com/2012/02/10/magic-quadrant-for-business-intelligence-platforms-2012/. último acceso 06 May 2017

  11. Global health observatory (gho). http://www.who.int/gho/en/. último acceso 06 May 2017

  12. Public health observatories (phos). http://www.apho.org.uk/resource/view.aspx?RID=39421. último acceso 06 May 2017

  13. Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., Becker, B.: The data warehouse lifecycle toolkit. 2nd edición (2008). http://www.gbv.de/dms/ilmenau/toc/545984432.PDF. último acceso 06 May 2017

  14. Bernal, O.: Sistemas de información en el sector salud en Colombia. Colombia. Revista Gerencia y Politicas De Salud, v. 10 fasc.21, pp. 85–100. ed: Editorial Gente Nueva Ltda. (2011). ISSN 1657-7027

    Google Scholar 

  15. Gutierrez, C., Bernal, O.: La salud en Colombia. Logros, retos y recomendaciones. En: Colombia 2012, v. 0, p. 576. ed: Ediciones Uniandes (2012). ISBN 978-958-695-774-8

    Google Scholar 

  16. Leite, P., Gonçalves, J., Teixeira, P., Rocha, Á.: A model for the evaluation of data quality in health unit websites. Health Inform. J. 22(3), 479–495 (2016)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leidy Alexandra Lozano .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Lozano, L.A., del Pilar Villamil, M. (2018). Strategy to Develop a Digital Public Health Observatory Integrating Business Intelligence and Visual Analytics. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73450-7_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73449-1

  • Online ISBN: 978-3-319-73450-7

  • eBook Packages: EngineeringEngineering (R0)