Crossing the digital divide: The workload of manual data entry for integration between mobile health applications and eHealth infrastructure.

Caryl FeldackerJoel UsiriChristine Kiruthu-KamamiaGeetha WaehrerHiwot WeldemariamJacqueline HuwaJessie HauAgness ThawaniMirriam ChapandaHannock Tweya

Published in: medRxiv : the preprint server for health sciences (2024)

Understanding the workload to ensure quality M&E data, including to complete manual data linkage of mHealth apps to EMRS, provides stakeholders with inputs to drive DHI innovations and integration decision making. Quantifying potential mHealth benefits on more efficient, high-quality M&E data may trigger new innovations to reduce workloads and strengthen evidence to spur continuous improvement.

Keyphrases

electronic health record
big data
decision making
gene expression
genome wide
machine learning
risk assessment
dna methylation
hepatitis c virus
climate change
hiv infected
quality improvement
artificial intelligence