Is the protocol being followed when collecting data? Are there any data mistakes or blank fields present? Which of my teams or sites is producing the most inaccurate data? These are the typical concerns that every researcher has when conducting a clinical study. Still, most of them can only be addressed once data collection is complete and data analysis is underway. Correcting inaccurate data months after it has been gathered may be painful and take time. In addition, weaker conclusions are drawn due to dirty data, and the entire data collection process needs to be redone. Is there a way for a researcher to spot and fix issues with their data while it is being collected?
A query management system is a solution to this (QMS). After reading this blog post, it would help if you had a comprehensive idea of what queries are in clinical research and why automatic query management is a researcher’s best friend.
The Customer Payment Queries and Disputes, Deductions, and Complaints module is made to handle these. Element Technologies can rapidly reduce the volume and value of your debt in the query by mirroring and enforcing your query escalation protocols and involving your entire organisation. In addition, Element Technologies gives you the data you need to discover root causes and convert questions into cash.
Why Query Management is Important for Clinical Trial Image Quality
When choosing an imaging technology solution, sponsors and CROs frequently concentrate on fundamental features like viewing DICOM pictures, workflow management, and electronic case report forms. As a result, sites are commonly disregarded. Still, query management in clinical data management enables communication between those conducting quality checks and trial administration. Queries are crucial since they are frequently used to inform the site of changes and difficulties with image quality. It is also required to follow through with its resolution for regulatory reasons. Assuring prompt follow-up to ensure that the website misses no picture studies, queries also notify when patient photographs are past due.
All clinical trial photos submitted to a trial may have an image quality inquiry rate of up to 20 percent. This percentage may be more than 50% when late exam request queries are included. Imaging systems frequently have inconsistent and manual query solutions, which could necessitate that sites adhere to protocols distinct from those for all other imaging jobs. Additionally, when inquiries are sent to sites, the issue description is frequently manually produced, resulting in differences in the question content. A lack of consistent follow-up and missing query responses might result from using various error-prone query management tools like Excel or email. These mistakes might have serious repercussions in addition to frustrating users of websites. Imaging cases, for instance, can be prematurely submitted to independent review if there are unsolved quality issues. As a result, insufficient data may affect imaging endpoints, or a radiologist may need to review the images again, adding to the time and expense.
Find the source of issues and Fix them
We customise your clinical data management system to the best practices to respond to your inquiries as promptly as feasible. In addition, the majority of the rules can also be customised by you, allowing you to enhance your query management in clinical data management procedures further.
The following advantages are very immediately available to you:
- Unlimited intelligent work lists
- A simple way to include everyone in query resolution
- Powerful, intricate, drillable work-lists
- Automatic lists of SLA breaches
- Top 10 reports, quickly determine who is delaying payment and why