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Data Loss Prevention in Healthcare
Release Date: 10/04/2023
Working Group: Health Information Management
The rise of digital services in healthcare has made protecting medical data an ongoing challenge. Data loss may occur in several forms, including information theft, data leak, data manipulation, and unauthorized sharing of data with third parties. In the healthcare industry, the compromise of personal health information can have serious consequences for patients, including identity theft and harm to their medical treatment. Healthcare IT leaders need proper security controls and visibility into user behavior to monitor and prevent data loss. The clear solution is Data Loss Prevention (DLP).
This paper outlines how DLP is utilized in the healthcare industry to protect data sharing, especially regarding patient information. It outlines significant risks that the healthcare industry faces, why data loss risk is increased as healthcare process automation enhances hospital efficiency, why it’s vital to monitor data usage and movement, how DLP works, types of DLP solutions, DLP best practices, and the critical elements of DLP program maturity.
Key Takeaways:
- How DLP works
- The three main types of DLP
- What is Exact Data Matching (EDM) and Indexed Document Matching (IDM)
- The importance of collaborating on DLP with the Threat Intel team
- The impact of location on data usage
- How to properly configure DLP
- DLP best practices
- How to measure DLP maturity
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