3.3 Implement systems to monitor and review accuracy and reliability of the information

Course: NVQ Level 5 Diploma In Leadership & Management for Adult Care

Unit 3: Communication & Information Management in Adult Care

LO3: Implement systems for effective information management

3.3 Implement systems to monitor and review accuracy and reliability of the information

Implementing systems to monitor and review the accuracy and reliability of information is critical to ensuring that data is accurate and can be relied on. You need to review what’s happening within your company or organization on an ongoing basis in order not only to meet legal requirements but protect yourself from potential risk as well. This section will provide you with the knowledge to understand what you need to do to help keep yourself and your collected data accurate, compliant and reliable.

The accuracy of data is important to integrity and reliability. If you’re collecting information, make sure it’s accurate. You can’t rely on information that’s potentially false, and you could find yourself in trouble for incorrectly collecting and processing personal data. Data can contain mistakes like typos. This shows how important accuracy and reliability are to the success of our organization.

The Data Protection Act 1998 (DPA) was created in order to protect everyone’s personal information by making sure that any private information is safe. It says that anyone who processes personal information has to comply with eight principles, which are:

1. The first principle is about fair and lawful processing. This means that the organization must follow the law when processing data. If they don’t, this can result in fines of up to £500,000 or 2% of their annual turnover (whichever is higher).
2. The second principle is about being obtained fairly. This means that the data should be collected for specific purposes, it also mentions that people should be told about their rights to access information held about them before they are asked to provide any information.
3. The third principle is about the purpose of the processing. Data must only be used for the reason it was collected. This means that if the data subject agrees to provide their personal information for certain purposes, the organization must not use or process it for anything other than what they agreed to do
4. The fourth principle is about the accuracy of the information. It says that personal information will be accurate and kept up to date. Companies are responsible for keeping the data they hold about individuals up to date and accurate, if it is not then they can be fined.
5. The fifth principle is about keeping information for no longer than necessary. This means that a company should not keep data for longer than they need to, or else it will become pointless. The organization cannot store data indefinitely unless it can prove that it is in the public interest.
6. The sixth principle is about making sure that the data is processed fairly and lawfully, by people who have a duty of confidentiality. The organization cannot do anything with personal information unless it has their permission or they are acting in a legal role towards the company.
7. The seventh principle tells you that you cannot transfer data to another body without the person’s consent. This means that if a company needs to send personal information to another party, they must get the person’s permission first and tell them why it is needed.
8. The eighth principle tells you that all transactions and contracts should be clear and plain so people know their rights and any risks involved with the data or contracts. All contracts must be clear and simple so that if anything happens, people know their rights and what to do

The Information Commissioners Office (ICO) is the independent authority for information rights in the UK. They ensure compliance with the Data Protection Act 1998 (DPA), the Privacy and Electronic Communication Regulations 2003 (PECR), and the General Data Protection Regulation (GDPR).

By implementing an internal quality assurance system, it is possible to monitor the collection of information and ensure that all data being collected has been recorded correctly. For example in one month several staff members were found recording their work time at different locations which led to inaccurate monthly reports because they did not contain complete details; however, by identifying this error we have been able to reduce Future Inaccuracies Going Forward (FIGN).

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