Implementation of a microbiological monitoring program in a medical information system of a healthcare organization as part of ensuring the quality and safety of medical care

Background . The implementation of information systems in healthcare is an urgent task for every medical organization. Par-ticular attention should be paid to microbiological monitoring, which requires analysis of a large pool of data, prompt generation of analytical reports, and managerial decisions affecting the quality and safety of medical care. Objective . To evaluate the impact of integrating the WHONET software into a medical information system on the time it takes for clinical departments to receive the results of microbiological tests. Methods . A single-center before–after comparative study was conducted at the Vitasoft Clinic medical information system of the North-Western State Medical University named after I.I. Mechnikov. WHONET was integrated into the microbiological testing module: MIS and WHONET reference lists were mapped, WHONET fields, alert rules, and information messages for clinicians were configured. The mean time to receipt of microbiological results by clinical departments was assessed before and after implementation. Statistical analysis was performed using GraphPad Prism 5.0; data are presented as mean±SD; differences were considered significant at p<0.05. Results . The mean time to receipt of microbiological results by clinical departments decreased from 5.25±0.55 days to 3.3±0.47 days (p<0.0001), i.e., by 37.1%. The implementation of WHONET made it possible to create referrals and reports for microbiological tests in compliance with regulatory requirements, to introduce a system of information messages for clinicians, including alerts on detected resistance mechanisms, and to ensure direct maintenance of microbiological databases and analysis of antimicrobial resistance data. Conclusion . Integration of WHONET into the medical information system reduces the time to receipt of microbiological results by clinical departments, improves the efficiency of microbiological monitoring, and supports decision-making on antimicrobial therapy and resistance management. For healthcare organizations without a laboratory information system, WHONET can serve as a laboratory information system and a database for microbiological monitoring; the limitations of integration are its duration and cost.

Authors

Institutions

Publication Details

Journal
Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice
Published
2026-11-06
DOI
https://doi.org/10.37489/2588-0519-gcp-0044
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Implementation of a microbiological monitoring program in a medical information system of a healthcare organization as part of ensuring the quality and safety of medical care

Maria Pokladova, А. С. Федоренко, Латария Элгуджа Лаврентьевич, Оришак Елена Александровна
Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice
Electronic Health Records Systems
article

Implementation of a microbiological monitoring program in a medical information system of a healthcare organization as part of ensuring the quality and safety of medical care

Maria Pokladova, А. С. Федоренко, Латария Элгуджа Лаврентьевич, Оришак Елена Александровна
article en

Abstract

Background . The implementation of information systems in healthcare is an urgent task for every medical organization. Par-ticular attention should be paid to microbiological monitoring, which requires analysis of a large pool of data, prompt generation of analytical reports, and managerial decisions affecting the quality and safety of medical care. Objective . To evaluate the impact of integrating the WHONET software into a medical information system on the time it takes for clinical departments to receive the results of microbiological tests. Methods . A single-center before–after comparative study was conducted at the Vitasoft Clinic medical information system of the North-Western State Medical University named after I.I. Mechnikov. WHONET was integrated into the microbiological testing module: MIS and WHONET reference lists were mapped, WHONET fields, alert rules, and information messages for clinicians were configured. The mean time to receipt of microbiological results by clinical departments was assessed before and after implementation. Statistical analysis was performed using GraphPad Prism 5.0; data are presented as mean±SD; differences were considered significant at p<0.05. Results . The mean time to receipt of microbiological results by clinical departments decreased from 5.25±0.55 days to 3.3±0.47 days (p<0.0001), i.e., by 37.1%. The implementation of WHONET made it possible to create referrals and reports for microbiological tests in compliance with regulatory requirements, to introduce a system of information messages for clinicians, including alerts on detected resistance mechanisms, and to ensure direct maintenance of microbiological databases and analysis of antimicrobial resistance data. Conclusion . Integration of WHONET into the medical information system reduces the time to receipt of microbiological results by clinical departments, improves the efficiency of microbiological monitoring, and supports decision-making on antimicrobial therapy and resistance management. For healthcare organizations without a laboratory information system, WHONET can serve as a laboratory information system and a database for microbiological monitoring; the limitations of integration are its duration and cost.

Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice(3)
North-Western State Medical University named after I.I. Mechnikov (RU), Northern State Medical University (RU)
Openalex Percentile: Top 12%
Electronic Health Records Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon