In the modern era, the ability to quickly detect and respond to outbreaks is absolutely crucial in mitigating the spread of healthcare-associated infections, including multidrug-resistant bacteria. Traditional methods often involve labor-intensive, manual data collection and extraction from numerous software sources, which can lead to inconsistencies and errors. The need for a more efficient, comprehensive, and standardized solution has paved the way for digital, data-driven strategies. The Smart Infection Control System (SmICS) emerges as a promising solution, utilizing the open-source software openEHR as its operational standard.
The SmICS automates calculations and provides interactive displays of patient movement, lab data, and associated epidemic curves. It additionally offers unique views of contact networks reinforced by temporal-spatial visualizations. Evaluations across three clinical sites demonstrated significant reductions of up to 81.47% in time taken to perform routine infection control tasks, thereby elevating efficiency alongside a System Usability Scale (SUS) score of 51.6. Despite its proven effectiveness, it is evident that improvements are needed to address usability issues and reduce waiting times for queries.
Nosocomial outbreaks resulting from viral, bacterial, or fungal transmissions pose numerous challenges and significantly increase healthcare costs. Control and prevention measures are often labor-intensive and time-consuming, involving detailed manual data extraction and comprehensive analyses of patients’ movement data and microbiological test results. This process is further complicated by contrasting analyses when conducted in a non-standardized manner.
Across healthcare, digitalization and subsequent data availability is growing rapidly. Automated digital solutions, such as SmICS, help alleviate the strain on IPCTs by computing and analyzing contact networks, aiding in detecting potential outbreaks. The modern healthcare landscape, replete with digital patient data and an abundance of data from medical documentation, is ripe for technological innovation.
However, it is essential to note that many automated detection systems currently rely on institution-specific database formats or commercial software, presenting significant challenges in terms of interoperability and data flow. Therefore, the development of open-source, interoperable solutions become crucial in a landscape dominated by proprietary databases and non-standard data formats. SmICS stands out as an open-source solution built on openEHR, providing robust support for infection control tasks and enhancing the efficiency of routine operations across regional, national, and international healthcare.
Overall, the current healthcare scenario provides ample opportunities for digital solutions to transform the infection control landscape. Through SmICS, IPCTs can divert their attention from time-consuming data analysis tasks to initiating crucial interventions to curtail outbreaks. As the system continues to evolve and improve, it presents considerable potential in streamlining operations, enhancing efficiency, and ultimately contributing to better patient outcomes in hospitals.