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Published on: August 30, 2018
eHealth and mHealth in Antimicrobial Stewardship Programs
Felipe Francisco Tuon1, Tiago Zequinao1, Marcelo Silva da Silva1
1Laboratory of Emerging Infectious Diseases, School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
Antimicrobial Stewardship Programs (ASPs) can improve infection treatment using eHealth and mHealth technologies. Integrating these tools with diagnostics and data can reduce costs and improve patient outcomes in hospitals.
Area of Science:
- Medical Informatics
- Infectious Diseases
- Public Health
Background:
- Increasing bacterial resistance and limited therapeutic options necessitate rapid diagnostics and effective Antimicrobial Stewardship Programs (ASPs).
- Sepsis management critically depends on timely pathogen identification and antimicrobial susceptibility testing (AST).
Purpose of the Study:
- To review the role of eHealth and mHealth in ASPs for optimizing infection treatment and antimicrobial use.
- To explore the potential of integrated health technologies in hospital antimicrobial management.
Main Methods:
- Review of current literature on eHealth, mHealth, and ASPs.
- Analysis of technological advancements in diagnostics (molecular, mass spectrometry) and their impact on turnaround times.
- Examination of decision-making complexities in antimicrobial therapy and the role of ASPs.
Main Results:
- Rapid diagnostic methods have significantly reduced turnaround times, improving patient outcomes.
- eHealth and mHealth technologies offer potential to enhance healthcare services, especially in resource-limited settings.
- Integration of antimicrobial prescription data, pharmacotherapeutic algorithms, and laboratory data can reduce costs and improve hospitalization outcomes.
Conclusions:
- ASPs are crucial for managing complex antimicrobial therapy decisions.
- Further exploration and implementation of eHealth and mHealth in hospital ASPs are needed.
- Technological integration holds promise for reducing healthcare costs and improving patient mortality rates.
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