Clinical Data Audit

Importance And Purpose Of Clinical Data Audit

By definition, an audit is the evaluation of an organization, process, product, project or system. It is performed to determine the reliability and validity of data and to provide an assessment based on internal control. A clinical data audit is just one of the many types of audits.

A clinical data audit was designed to help meet the quality standards of the industry. It could be done internally or externally just like any other types of audit. Implementation of clinical data audits helps improve processes and systems involved.

Here are some important aspects involved in clinical data auditing:

- Compliance to industry standards through assessment and continuous improvement help companies meet the requirements through developing action plans and reducing risks.

A concrete plan backed-up by strategic action/s should be developed by key players in order to meet the demands of the industry to maintain a high level of compliance before and after a clinical data audit.

- Clinical data audit ensures adherence to regulations and compliance set by the industry.

Companies that are quite new in the industry should set their own standards that can compete with the existing standard. By developing a plan for continuous improvement, it will be easier for companies to comply.

- The ability to identify and avoid non-compliance, fraud and misconducts can prevent costly consequences and delays.

One reason why some companies do not meet the standards is because they fail or they lack the ability to identify potential factors. Early detection and identification of non-compliant factors will greatly improve a clinical data audit.

By implementing a system specific of identifying non-compliant factors, conducting clinical data audits will be much systematic and efficient.

- Reviewing potential problems prior to occurrence can reduce the risk of non-compliance.

It is a good idea to develop a plan and implement a periodic review system. This is one way of monitoring the performance while keeping an eye on the compliance standards of the company.

- Implement and regularly update standard operating procedures to stabilize compliance and avoid set-backs.

A clinical data audit helps improve standard operating procedures. It is also important to exceed the existing compliance guidelines and it can be done by periodically checking and updating existing SOPs.

- Implement an early warning system to detect potential problems easily and effectively.

Checking for potential problems to occur could be done by implementing an early warning system. It could be a manual or automated or both. This is one vital strategy that could enhance future clinical data audit.

- Document all pertinent findings to help you manage the audit and as a source of reference for future clinical data audits.

All records and reports should be kept for future references. Include an archiving system to go with it to improve your documentation and record tracking.

- Identify the members of your team who will be directly concerned with the clinical data audit.

Clinical data managers, clinical researchers and associates, clinical project leaders/managers, clinical operations professionals and clinical QA auditors are the ones that are directly involved in the processes and should be the key persons in implementing and developing strategies for improvement.

A company's stability in the clinical data management industry lies primarily in its performance and quality. A poorly managed company will never keep up with the standards, but a well-prepared and compliant company will always surpass clinical data audit expectations.