For instance, a financial institution may use data masking to safeguard its customers' social security numbers or account numbers while enabling the testing and development of new applications with a production-like dataset. Essentially, data masking creates a duplicate of a database and replaces sensitive data with fictitious data that preserves the data's structure and format. Protecting patient privacy with data maskingĭata masking is useful for resolving data security issues in healthcare. By prioritizing data security, healthcare organizations can safeguard patient data and maintain trust with their patients. This includes doing regular security risk assessments, implementing encryption and access controls, conducting regular training for employees, and ensuring compliance with data privacy regulations. Healthcare organizations should implement comprehensive security measures, data privacy protocols, and risk management strategies to address these data security issues. Its importance is only increasing, too: According to a report by the Ponemon Institute, 89% of healthcare organizations experienced cyberattacks - 43 on average - between 20. In the wrong hands, it can be used for identity theft, fraud, and other malicious purposes.

Why is data security important in healthcare in particular? For one, healthcare organizations collect and store extremely sensitive patient information. Related: 3 Reasons Why Privacy Matters to Your Business, Your Brand and Your Future

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