Data integrity module for data quality assurance within an e-health system in sub-Saharan Africa.

Jonathan Monda, Jeremy Keipeer, Martin C. Were

Research output: Contribution to journalArticle

Abstract

Ensuring good data quality within telemedicine and e-health systems in developing countries is resource intensive. We set out to evaluate an approach where in-built functionality within an electronic record system could identify data quality and integrity problems with little human input. We developed a robust data integrity module to identify, enumerate, and facilitate correction of errors within an e-health system that is in wide use in sub-Saharan Africa. The data integrity module was successfully implemented within an electronic medical record system in Western Kenya. Queries were set to fail if one of more records did not meet defined criteria for data integrity. Only one of 14 data integrity checks implemented uncovered no errors. The other queries had errors or questionable results ranging from 51 records to 30,301 records. However, as a proportion of all patients and all observation, the identified records with likely data integrity problems only constituted a small percentage of all records (mean 0.96%, range 0-4.1%). Twelve of the 14 queries (86%) were executed in

Original languageEnglish (US)
Pages (from-to)5-10
Number of pages6
JournalTelemedicine and e-Health
Volume18
Issue number1
StatePublished - Jan 2012
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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