DATA QUALITY

Role this area should play in the mHealth space

The amount of health data being generated across care organisations is growing exponentially. These data are collected not only by healthcare professionals, but increasingly also by (mobile) devices and patients themselves. 

Health data are generally collected with the primary goal of providing high-quality patient care. However, they are also often re-used to further improve patient outcomes and to foster innovation; for example to enable personalised medicine, to feed into artificial intelligence algorithms or decision support systems, or to drive clinical research. 

To allow valid and reliable decision making based on health data, it is of utmost importance to ensure the data are of high quality.

Current challenges and limitations
Stakeholders within the health ecosystem are insufficiently aware of the often suboptimal quality of their data and the implications this may have. In addition, limited incentives and resources are available to make sure healthcare providers, systems and patients document health data completely and accurately.

 

What benefit could this bring to adopters of this innovation?

When data are missing or incorrect, advisory and decision support systems, or standard analytic procedures, might provide erroneous advice. Ensuring data is of high quality hence significantly improves the quality of output generated by mHealth apps, such as personalised feedback, decision support and alerts.

How does it contribute to major EU policy priorities? (e.g. EHDS, COVID-19, DTHC etc.)

Data quality is an increasingly recognised issue, and its assessment is proposed to be one of the features of the EHDS.

 

Examples

I~HD Data Quality Assessment Blog Article

I~HD Data Quality Assessment Blog Article

Approach or solution I~HD Data Quality Assessment Blog Article   Organisation or initiative The European Institute for Innovation through Health Data (i~HD)   URL or reference https://www.i-hd.eu/how-to-assess-data-quality-to-trust-what-you-learn/   Summary of the innovation There is much international literature proposing a diversity of dimensions and methodologies to... ...

Extension of OHDSI open-source tool for measuring data quality

Extension of OHDSI open-source tool for measuring data quality

Approach or solution Extension of OHDSI open-source tool for measuring data quality   Organisation or initiative Research publication: Dixon, B. E., Wen, C., French, T., Williams, J. L., Duke, J. D., & Grannis, S. J. (2020). Extending an Open Source Tool to Measure Data Quality:... ...

I~HD Data Quality Programmes

I~HD Data Quality Programmes

Approach or solution I~HD Data Quality Programmes   Organisation or initiative The European Institute for Innovation through Health Data (i~HD)   URL or reference https://www.i-hd.eu/index.cfm/services/health-data-quality/   Summary of the innovation The European Institute for Innovation through Health Data (i~HD) has developed two dedicated programmes centered... ...

What is on the horizon?

After performing a manual data quality assessment, these tools and functionalities can be implemented into a real-time monitoring dashboard on mHealth system interfaces.

 

 

Keywords
Data Quality; Electronic Health Data