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Clinical Data Warehouse Watermarking: Impact on Syndromic Measure
Guillaume Bouzille1, Wei Pan2, Javier Franco-Contreras2
1INSERM, U1099, Rennes, F-35000, France.
Studies in Health Technology and Informatics
|April 21, 2017
Summary
Watermarking medical databases for traceability is feasible. Our study shows that even with moderate watermark distortion, flu epidemic periods can still be accurately estimated without significant data perturbation.
Area of Science:
- Medical Informatics
- Epidemiology
- Data Security
Background:
- Sharing medical databases requires robust traceability mechanisms.
- Watermarking offers a method for embedding traceability information directly within data.
- Potential data distortion from watermarking could impact downstream analysis.
Purpose of the Study:
- To evaluate the impact of data watermarking on the accuracy of flu activity estimation.
- To assess if watermarking medical databases compromises epidemiological analysis.
Main Methods:
- A study was conducted to analyze the effect of watermarking on medical database integrity.
- The impact of moderate watermark distortion on flu activity estimation was specifically examined.
Main Results:
- Preliminary results indicate that watermarking does not significantly perturb flu epidemic period estimations.
- Moderate watermark distortion levels are compatible with reliable flu activity analysis.
Conclusions:
- Watermarking is a viable technique for enhancing traceability in shared medical databases.
- The method shows promise for maintaining data analysis integrity, specifically for epidemiological studies like flu activity monitoring.
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