Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018

• Published in: Euro surveillance : bulletin européen sur les maladies transmissibles Vol. 25; no. 39; p. 9
• Main Authors: Leitmeyer, Katrin Claire, Espinosa, Laura, Broberg, Eeva Kaarina, Struelens, Marc Jean
• Format: Journal Article
• Language: English
• Published: Sweden Centre Europeen pour la Surveillance Epidemiologique du SIDA (European Centre for the Epidemiological Monitoring of AIDS) 01-10-2020; European Centre for Disease Prevention and Control (ECDC)
• Subjects: Antimicrobial Stewardship; Automation; Clinical Laboratory Services - statistics & numerical data; Disease Notification - methods; Drug resistance; Electronic Health Records; Epidemiological Monitoring; EU membership; Europe - epidemiology; European Union; Health surveillance; Humans; Information Dissemination; Public Health; Public Health Surveillance - methods; Respiratory syncytial virus; Surveillance; Europe; automated data reporting; electronic laboratory reporting; antimicrobial resistance; early-warning; clinical microbiology testing; public health surveillance; communicable diseases; digital surveillance
• ISSN: 1560-7917; 1025-496X; 1560-7917
• DOI: 10.2807/1560-7917.ES.2020.25.39.1900591

BackgroundTimely reporting of microbiology test results is essential for infection management. Automated, machine-to-machine (M2M) reporting of diagnostic and antimicrobial resistance (AMR) data from laboratory information management systems (LIMS) to public health agencies improves timeliness and completeness of communicable disease surveillance.AimWe surveyed microbiology data reporting practices for national surveillance of EU-notifiable diseases in European Union/European Economic Area (EU/EEA) countries in 2018.MethodsEuropean Centre for Disease Prevention and Control (ECDC) National Microbiology and Surveillance Focal Points completed a questionnaire on the modalities and scope of clinical microbiology laboratory data reporting.ResultsComplete data were provided for all 30 EU/EEA countries. Clinical laboratories used a LIMS in 28 countries. LIMS data on EU-notifiable diseases and AMR were M2M-reported to the national level in 14 and nine countries, respectively. In the 14 countries, associated demographic data reported allowed the de-duplication of patient reports. In 13 countries, M2M-reported data were used for cluster detection at the national level. M2M laboratory data reporting had been validated against conventional surveillance methods in six countries, and replaced those in five. Barriers to M2M reporting included lack of information technology support and financial incentives.ConclusionM2M-reported laboratory data were used for national public health surveillance and alert purposes in nearly half of the EU/EEA countries in 2018. Reported data on infectious diseases and AMR varied in extent and disease coverage across countries and laboratories. Improving automated laboratory-based surveillance will depend on financial and regulatory incentives, and harmonisation of health information and communication systems.