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Informatics for Infection Prevention and Control.

Michael Y Lin1, William E Trick2

  • 1Department of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, IL, USA.

Infectious Disease Clinics of North America
|March 12, 2026
PubMed
Summary
This summary is machine-generated.

Computer informatics is crucial for infection control, with automated surveillance and reporting enhancing monitoring and outbreak detection. Emerging applications like artificial intelligence further support prevention and public health integration.

Keywords:
Infection controlInformaticsPreventionPublic healthSurveillance

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Area of Science:

  • Informatics
  • Infection Prevention and Control
  • Public Health

Background:

  • Computer informatics plays a vital role in modern infection control.
  • Automation is increasingly transforming surveillance and reporting processes.
  • Informatics applications are expanding in scope and complexity.

Purpose of the Study:

  • To review current and emerging informatics applications in infection prevention and control.
  • To highlight the role of informatics in surveillance, prevention, and public health integration.
  • To discuss advancements such as generative artificial intelligence and data transmission methods.

Main Methods:

  • Review of existing literature and current practices in health informatics.
  • Analysis of surveillance applications including automated monitoring and outbreak detection.
  • Examination of prevention strategies supported by informatics, such as patient flagging and antimicrobial stewardship.

Main Results:

  • Informatics enables automated infection monitoring, device utilization tracking, and early outbreak detection.
  • Key prevention uses include identifying high-risk patients and supporting antimicrobial stewardship programs.
  • Public health integration via informatics improves electronic reporting, communication, and response capabilities.

Conclusions:

  • Informatics is essential for efficient and effective infection prevention and control.
  • Emerging technologies like generative AI offer new opportunities for enhancing infection control strategies.
  • Improved data transmission methods are critical for seamless public health clinical data integration.