Résultats de la recherche - 64 results

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 ...

Policy brief Belgian EBCP Mirror Group- Artificial Intelligence in cancer care

To further leverage AI in health, Belgium is advised to make policy-level decisions about how to fund, design and undertake actions focussing on data access and inclusion, IT-infrastructure, legal and ...

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) ...

Population health information research infrastructure—from data to public health actions

research across Europe through the identification, access, assessment and reuse of population health and non-health data to underpin public health policy decisions. A federated research infrastructure can ...

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