Bad healthcare data is inevitable. Whether it happens as a result of human input error or an incorrect rule, bad healthcare data will happen. And rather than ignoring it, hiding it, or scrubbing it, health systems need to take a more transparent approach.
Bad healthcare data, when approached correctly, has four surprising benefits:
- Provides valuable feedback to application users/data consumers.
- Inspires an improvement culture.
- Creates a Snowball Effect of Success.
- Improves Data Accuracy.
It’s not easy to make the shift from fearing bad data to embracing it, but there are several steps systems can take to start creating a data transparency culture:
- Empower: encourage data consumers to provide feedback.
- Share: Provide a mechanism for sharing feedback.
- Act: dedicate time and resources to respond and act.
Health systems prepared and willing to fix bad data will ultimately improve data quality.