Conversations and connections: improving real-time health data on behalf of public interest

  • Julie Babyar
Original Paper


Real time data and big data analytics is at the forefront and future of healthcare. Current trends indicate a growing interest and commitment to building real time data applications and big data enterprise. This movement must be accompanied by support, commitment and thorough collaboration. Data that proves valuable must drive program implementation, scaled initiatives and effective research. Predictive modeling for surveillance, public health and clinical use must prove cost effective as well. Support and advancement for this must be embraced by all in healthcare, with initial use and incorporation into everyday applications. Additionally, global public health can be aided and should embrace real time data system development, for transparency, predictive analytics and robust surveillance. When aggregated and applied reliably, big data can benefit all stakeholders and the general public. This opportunity should be enhanced, realized and cultivated.


Real time data Real time analytics Big data Health information technology Public health surveillance 


Availability of data and material

There is no original data to aggregate or report.

Author contributions

The author is the sole author of this manuscript.

Compliance with ethical standards

Ethics approval and consent to participate

Not applicable.

Consent for publication

The author consents to publication of this article.

Competing interests

There are no competing interests to declare.

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.VallejoUSA

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