Using electronic medical records in hospital simulation for infection control intervention assessment
Fardad Haghpanah, Eili Y Klein
TL;DR
This paper introduces a hospital simulation model using electronic medical records to assess infection control interventions and identifies key factors affecting infection rates.
Contribution
The novel contribution is an agent-based model that integrates EMR data to simulate ICU pathogen transmission and evaluate IPC interventions.
Findings
Improving hand hygiene compliance to 95% could reduce ICU infections by 36%.
Enhancing terminal room disinfection efficacy to 95% could reduce infections by 31%.
Reducing post-handwashing residual contamination to 1% could cut infections by 26%.
Abstract
Clinical trials for assessing the effects of infection prevention and control (IPC) interventions are expensive and have shown mixed results. Mathematical models can be relatively inexpensive tools for evaluating the potential of interventions. However, capturing nuances between institutions and in patient populations have adversely affected the power of computational models of nosocomial transmission. In this study, we present an agent-based model of ICUs in a tertiary care hospital, which directly uses data from the electronic medical records (EMR) to simulate pathogen transmission between patients, HCWs, and the environment. We demonstrate the application of our model to estimate the effects of IPC interventions at the local hospital level. Furthermore, we identify the most important sources of uncertainty, suggesting areas for prioritization in data collection. Our model suggests…
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Taxonomy
TopicsInfection Control in Healthcare · Nosocomial Infections in ICU · Antibiotic Use and Resistance