Data Integrity Quiz

The objectives of the presentation are to: 1. Compare between confidentiality and privacy, 2. Discuss approaches to data system and data usage integrity, 3. Explore Data Governance, Lifecycle, Control elements and Strategies, 4. Recognize eight principles for data protection.

There are concerns over the abuse of data and information, increased possibilities for errors due to the availability of more data, dependence of health organizations on health information systems, sharing of data between organizations for health statistics, and increased use of automated personal data systems causing concerns about information abuse and privacy breaches.

Data handling involves the collection of data and information, determining how they will be used, managing access to the data and information, reviewing and correcting collected data if needed, and managing the storage, handling, movement, and processing of the data.

Handling of data has become important in data protection in health information systems due to concerns over the abuse of data and information, increased possibilities for errors, dependence of health organizations on health information systems, sharing of data between organizations for health statistics, and increased use of automated personal data systems causing concerns about information abuse and privacy breaches.

The increased concerns over data handling are due to the advancement in computer technologies leading to more data and information availability, increased dependence of health organizations on health information systems, sharing of data between organizations for health statistics, and the increased use of automated personal data systems causing concerns about information abuse and privacy breaches.

Confidentiality refers to the obligation of keeping information secure and not disclosing it to unauthorized individuals, while privacy relates to the right of individuals to control their personal information and how it is used.

Approaches to ensuring data system and data usage integrity may include implementing strong access controls, encryption, regular data audits, and establishing clear data handling policies and procedures.

Data Governance involves the overall management of the availability, usability, integrity, and security of data used in an enterprise, and it is relevant to health information systems to ensure the proper handling and protection of sensitive health data.

Three control elements and strategies for data protection may include access control mechanisms, data encryption techniques, and regular data backup and recovery procedures.

One of the eight principles for data protection is 'data minimization,' which emphasizes the collection and processing of only the necessary data for a specific purpose, reducing the risk of unauthorized access or use.