Conceptual framework of Digital Health Public Emergency System: digital twins and multiparadigm simulation

Román  Rodríguez-Aguilar; Jose-Antonio  Marmolejo-Saucedo

doi:10.4108/eai.13-7-2018.164261

Conceptual framework of Digital Health Public Emergency System: digital twins and multiparadigm simulation

Authors

Román Rodríguez-Aguilar Universidad Panamericana
Jose-Antonio Marmolejo-Saucedo Universidad Panamericana

DOI:

https://doi.org/10.4108/eai.13-7-2018.164261

Keywords:

digital twin, multiparadigm simulation, hybrid simulation, health public, pervasive health

Abstract

INTRODUCTION: Two major technological paradigms have been developed in recent years, digital twins and the multiparadigm simulation. In the Health Sector, the enormous potential of both approaches for the management of public health emergencies is envisioned.

OBJECTIVES: This study aims to develop the conceptual framework for the development of a Digital Public Health Emergency System.

METHODS: The integration of the digital twins in health with the multi-paradigm simulation for the design of a digital system of public health emergencies is proposed.

RESULTS: The proposal establishes the conceptual framework for the integration of a digital public health emergency system, incorporating multi-paradigm simulation in the construction of a digital twin.

CONCLUSION: The use of cutting-edge technologies for public health emergencies will allow for a better response to contingencies as well as optimally managing the resources available in a health system.

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Published

31-01-2020

How to Cite

Rodríguez-Aguilar R, Marmolejo-Saucedo J-A. Conceptual framework of Digital Health Public Emergency System: digital twins and multiparadigm simulation. EAI Endorsed Trans Perv Health Tech [Internet]. 2020 Jan. 31 [cited 2024 May 3];6(21):e3. Available from: https://publications.eai.eu/index.php/phat/article/view/1246

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Issue

Vol. 6 No. 21 (2020): EAI Endorsed Transactions on Pervasive Health and Technology

Section

Research article

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.