Résultats de la recherche - 31 results
Identifying essential COVID-19 indicators for primary healthcare through Delphi analysis in 31 European countries: Eurodata eDelphi study
epidemiological surveillance and public health decision-making. Across Europe, the integration of electronic health records (EHR s) and the sentinel networks have been pivotal in monitoring COVID-19. However, the ...
Respi Radar, a tool to monitor respiratory infections
was asked to set up a system for a standardized interpretation of the epidemiological situation of COVID-19 which would assist decision-making. Hence, several “management” tools were successively ...
Individual, interpersonal, and organisational factors associated with discrimination in medical decisions affecting people with a migration background with mental health problems: the case of general practice
trust), and organisational (e.g. perceived workload) factors on general practitioners (GP s) differential decision-making regarding diagnosis, treatment, and referral for a depressed patient with or without ...
Consensus process for a data quality and utility label
(2024) Keywords: data quality dimension Data quality label Delphi method RAND/UCLA method Abstract: Ensuring high-quality health data is critical for effective decision-making and interoperability within ...
Towards a more effective REACH legislation in protecting human health.
market access can be optimized. Additionally, no guidance documents exist for regulation of mixture effects. Further, the lengthiness before regulatory action is a big concern. Decision-making often takes ...
A survey of the representativeness and usefulness of wastewater-based surveillance systems in 10 countries across Europe in 2023
for public health decision-making. Results were shared with relevant public health authorities and published via dedicated websites and/or dashboards. WBS systems of other pathogens were mostly in the ...
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
genetic statuses. For this purpose, we have developed and implemented the B- GOOD (Giving Beekeeping Guidance by computational-assisted Decision Making) project as a case study to categorize the colony’s ...
Using priorities between human and livestock bacterial antimicrobial resistance (AMR) to identify data gaps in livestock AMR surveillance
intervention setting for Staphylococcus aureus as done for Escherichia coli. This framework can provide guidance on areas to strengthen AMR surveillance and decision-making for humans and livestock, and if done ...
The burden of antimicrobial resistance in livestock: A framework to estimate its impact within the Global Burden of Animal Diseases programme
antimicrobial use (AMU) and AMR ’s social and economic burden on livestock is complex to gauge. Yet, quantifying this impact can be an essential input for farm-level decision-making and, more widely, for policy ...
European Health Information Portal: a one-stop shop for health information
evidenceinformed decision-making, for planning and evaluation of prevention, care and cure activities as well as for research to generate new knowledge. FAIR (Findable, Accessible, Interoperable and Reusable) ...