Data quality assessment of the Enhanced Gonococcal Antimicrobial Surveillance Programme (EGASP), Thailand, 2015-2021.

Jaray Tongtoyai Thitima Cherdtrakulkiat Natnaree GirdthepSilvina MasciotraSanti Winaitham Pongsathorn SangprasertEkkachai DaengsaardAnuparp PuangsoiRossaphorn KittiyaowamarnEileen F DunnePachara SirivongrangsonAndrew C Hickey Emily Weston Rebekah M Frankson

Published in: PloS one (2024)

We found a high level of data accuracy and completeness in the five audit cycles. The implementation of the audit process identified areas for improvement. Systematic quality assessments of laboratory and clinical data ensure high quality EGASP surveillance data to monitor for antimicrobial resistant Neisseria gonorrhoeae in Thailand.

Keyphrases

electronic health record
big data
public health
staphylococcus aureus
healthcare
primary care
randomized controlled trial
study protocol
machine learning
artificial intelligence
deep learning