Digital Interoperability With FHIR API, Disease Surveillance, and Climate Change Público

Abstract

The foundation of public health interoperability requires integration and interoperability at both structural and semantic levels. Many countries are now implementing EHRs that subscribe to HL7 standards and FHIR resources. This area still has potential for enhancing interoperability and strengthening surveillance for emerging and re-emerging epidemics like Zika, Ebola in low resource settings. Global warming and climate change across the globe is not only affecting animals and plants, but is affecting the distribution of diseases and prevalence of diseases across the globe. As a result, technologies that can work best in rugged terrains are required for management and control of emerging and re-emerging epidemics. Wide area network optimization technologies and FHIR APIs for data pull models are required to enhance data collection and reporting for better management of disease outbreaks.

Table of Contents

1.0 BENEFITS OF INTEROPERABILITY 1

1.1 INTEROPERABILITY WITH FHIR API         2

1.2 DELIVERABLE       2

2.0 EXPLORING FHIR FOR PUBLIC HEALTH IN DEVELOPING COUNTRIES     4

3.0 SURVEILLANCE IN LOW RESOURCE SETTINGS    7

4.0 CLIMATE CHANGE AND PUBLIC HEALTH 10

4.1 CLIMATE CHANGE AND ZIKA VIRUS        10

4.2 CLIMATE CHANGE AND FRESHWATER BRAIN EATING AMOEBA 13

4.2.1PUBLIC HEALTH IMPLICATIONS 14

4.3 RECOMMENDATIONS      14

5.0 CONSIDERATIONS 16

REFERENCES  17

INTEROPERABILITY WITH FHIR API   17

SURVEILLANCE IN LOW RESOURCE SETTINGS          19

CLIMATE CHANGE AND PUBLIC HEALTH      20

ZIKA VIRUS     20

BRAIN EATING AMOEBA        24

About this Master's Thesis

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• Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Rollins School of Public Health
Department	Executive Masters of Public Health - MPH
Subfield / Discipline	Applied Public Health Informatics
Degree	M.P.H.
Submission	Master's Thesis
Language	English
Research Field	Health Sciences, Public Health Climate Change Computer Science
Palavra-chave	Climate Change Interoperability OpenEMR FHIR API
Committee Chair / Thesis Advisor	Gaydos, Laurie, Emory University
Committee Members	Alperin, Melissa, Emory University Conde, J Mark, Emory University

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