Introduction of software tools for epidemiological surveillance in infection control in Colombia

Cristhian Hernández-Gómez1, Gabriel Motoa1, Marta Vallejo2

  • 1Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia.

Insights

Electronic surveillance significantly improved adherence to active surveillance for Healthcare-Associated Infections (HAI) in Colombian hospitals. While case identification was high, diligent recording of risk factors for device-associated HAIs needs improvement.

Area of Science:

  • Infectious Diseases
  • Public Health
  • Health Informatics

Background:

  • Healthcare-Associated Infections (HAI) pose a significant patient safety risk.
  • Manual epidemiological surveillance (ES) methods can compromise monitoring accuracy.
  • Electronic surveillance offers enhanced performance, quality, and data traceability.

Purpose of the Study:

  • To evaluate the implementation of electronic surveillance for HAI, bacterial resistance, and antimicrobial consumption.
  • To assess the impact on Infection Control Committees (ICC) in Colombian hospitals.
  • To analyze adherence to standardized surveillance protocols.

Main Methods:

  • Observational study design.
  • Evaluation of ICC structure, operation, and electronic tool integration (HAI Solutions software).
  • Assessment of adherence to data recording requirements.

Main Results:

  • 38% of hospitals utilized active surveillance strategies aligned with CDC criteria.
  • 87% of institutions successfully adopted the case identification module within the HAI Solutions software.
  • Compliance with recording risk factors for device-associated HAIs was only 33%.

Conclusions:

  • Electronic surveillance can enhance adherence to standardized, prospective active surveillance models.
  • Implementation of electronic tools improves the validity and quality of recorded HAI data.
  • Further efforts are needed to ensure comprehensive data capture for risk factors.
Abstract

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