logo
logo
Sign in

How does clinical data management (CDM) secure data?

avatar
Anushree Reddy

 

 

Conventional forms of data recording included writing them up on sheets in the form of reports. However, modern methods use electronic data capture systems (EDCs) for data entry. Data entry and data assessment processes are moving toward automation and software to develop technology to obtain more accurate results and reliable data records. EDCs are extremely popular as they are quicker and more reliable to access data in random order. Learn More: clinical research training

Importance of securing Clinical Data

A large amount of data security breaches are recorded every day. Most criminals and hackers now recognize sensitive personal health information and medical data as more valuable than the monetary data.  As credit cards and monetary data can easily be replaced or canceled, an individual's medical data is personal and irreplaceable. It gives these hackers an edge to use this sensitive data to commit fraud. Medical data can also be used to fabricate fake IDs and documents, which can claim insurance and illegally buy drugs and other medications.

As CROs use this form of personal and sensitive data, they must secure their data to ensure that it does not get into the wrong hands. CROs have to comply with the regulations set by the concerned authorities and the government. These authorities implement control regulations on the electronic records of data to ensure their authority, integrity, authenticity, and confidentiality of this clinical data acquired through the clinical research trials. These controls mainly include limiting the access of these records to authorized individuals only, system validation, and the use of secure and computerized audit trials. Know More About: Clinical Research Courses

The initial step in securing clinical data is making sure that all the vital information is accounted for. CDM processes accomplish this by allowing clinical research organizations to better understand their clinical data. CDM solutions also allow the large trial data and research studies documents from various sources such as EDCs in social sources, information systems, and public health data to be visible, and research partners, which are easily accessed and verified. Therefore, the data acquired by the clinical research trials protected through CDM.

CDM is also capable of performing data analytics on large amounts of data and records. Data analytics enable CROs to process dissimilar data for easy integration between applications while harmonizing the data for consistency and ease of use. It empowers the CROs to easily apply the various security measures for different kinds of data.

Importance of clinical data management (CDM)

Clinical researchers always want to make sure that the data acquired and shown to the regulatory authorities are reliable; from an ethical point of view, clinical data informs these treatment decisions and ultimately affects the patient's health. For these reasons, clinical data integrity and reliability are crucial. Although data management happens only after the data is collected, the methodology begins before the study protocol is completely finalized.

CDM strategies also improve the structural process and a well-established system for the prevention of immense valuable resources or loss of data. Information authentication and other processes can go through validation at every stage to avoid uncleared faults. It ensures that data is consistent, reliable, and useful for the importance of Clinical Data Management data.

Benefits of clinical data management (CDM)

  • Compliance with global and local regulatory requirements: Increase in clinical research results in larger amounts of data. It means complying with the ever-increasing regulatory requirements of the growing complexity of the trial. CDM processes' scalability allows CROs to keep track of their regulatory requirements and comply even with the rising complexity.
  • Faster time-to-market and commercialization: CDM enables more accurate and reliable clinical data generated and studied, thereby fastening the decision-making process's pace. CDM also streamlines various data management methodologies like data collection, data entry, case report from filing and tracking, and data validation. These improvements lead to quicker development and commercialization of medical devices and treatments.

Meticulous clinical data management (CDM) is very important for the integrity of a clinical research trial. The CDM involvement early on ensures that a concrete data management process is established at the very beginning.

 

 

collect
0
avatar
Anushree Reddy
guide
Zupyak is the world’s largest content marketing community, with over 400 000 members and 3 million articles. Explore and get your content discovered.
Read more