data quality

What Are the Implications of Poor Data Quality?

Poor data quality can have several negative implications:
1. Patient Safety: Inaccurate data can lead to inappropriate treatment decisions, putting patient safety at risk.
2. Financial Costs: Errors and inefficiencies resulting from poor data can increase healthcare costs.
3. Regulatory Compliance: Non-compliance with data standards and regulations can result in legal and financial penalties.
4. Research and Reporting: Low-quality data can compromise the validity of clinical research and healthcare reporting.

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