A semiotic view on paper and mobile care data quality.

Data quality of paper health records remain problematic and little is known about mobile health data quality. A semiotic data quality framework is used as an analytical lens to identify the quality of data in care health service provision in resource-restricted communities. A mobile application was developed using a co-design approach. The results of the empirical study indicate data quality problems on the syntactic, semantic, pragmatic and social semiotic levels. The social aspect of data quality is an important contributor of quality associated problems. It is important to consider this human involvement in the capturing and using of data for the value of care data to be fully utilized. With better quality data a better care service can be provided and ultimately resulting in better quality life.