Recommendations for Improving Surveillance of Congenital Anomalies in Europe Using Healthcare Databases

Implementation of these recommendations will enable the information in electronic healthcare databases, in conjunction with Congenital Anomaly registries, to be fully exploited and hence will improve the surveillance of anomalies in children.

Authors

Institutions

Publication Details

Journal
Paediatric and Perinatal Epidemiology
Published
2025-01-28
DOI
https://doi.org/10.1111/ppe.13173
Citations
3
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
8.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recommendations for Improving Surveillance of Congenital Anomalies in Europe Using Healthcare Databases

Maria Loane, Joan K. Morris, Ester Garne
3 citations
Paediatric and Perinatal Epidemiology
Medical Coding and Health Information
8.81
article

Recommendations for Improving Surveillance of Congenital Anomalies in Europe Using Healthcare Databases

Maria Loane, Joan K. Morris, Ester Garne
article en
3 citations

Abstract

Implementation of these recommendations will enable the information in electronic healthcare databases, in conjunction with Congenital Anomaly registries, to be fully exploited and hence will improve the surveillance of anomalies in children.

Paediatric and Perinatal EpidemiologyVol. 39(3)
University of Ulster (GB), St George's, University of London (GB), Lillebaelt Hospital (DK), City St George's, University of London (GB)
European Commission
Reduced inequalities
Openalex Percentile: Top 3%
Medical Coding and Health Information
8.81
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.