Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study.

null nullAbyot AdaneTewabe M AdegeMesoud M AhmedHabtamu A Anteneh Emiamrew S Ayalew Della BerhanuNetsanet BerhanuMisrak GetnetTesfahun BishawJoanna BuszaEshetu CherinetMamo DerejeTsega H DestaAbera DibabeHeven S FirewFreweini GebrehiwotEtenesh GebreyohannesZenebech GellaAddis GirmaZuriash HalefomSorsa F JamaAnnika JansonBinyam KemalAbiy KiflomYidnekachew D MazengiyaKalkidan MeketeMagdelawit MengeshaMeresha W NegaIsrael A OtoroJoanna SchellenbergTefera TaddeleGulilat TeferaAdmasu TeketelMiraf TesfayeTsion TsegayeKidist WoldesenbetYakob WondaradZemzem M YusufKidist ZealiyasMebratom H ZeweliLars Åke Persson Seblewengel Lemma

Published in: BMJ open (2021)

We identified important organisational, technical, behavioural and process factors that need further attention to improve the quality and use of RHIS data in Ethiopia.

Keyphrases

health information
electronic health record
social media
big data
quality improvement
healthcare
working memory
machine learning
deep learning