[HTML][HTML] Artificial intelligence based clinical data management systems: A review

S Kaur, I Singh - Informatics in Medicine Unlocked, 2017 - Elsevier
The clinical data management system is widely used to manage the data that is collected
during the clinical trials. This system offers various comfortable methods via which the data …

Clinical trial data management software: a review of the technical features

A Nourani, H Ayatollahi… - Reviews on recent clinical …, 2019 - ingentaconnect.com
Background: Data management is an important, complex and multidimensional process in
clinical trials. The execution of this process is very difficult and expensive without the use of …

Improving data accuracy: Selecting the best data checking technique

KA Barchard, Y Verenikina - Computers in Human Behavior, 2013 - Elsevier
Data entry errors can have catastrophic effects on the results of a statistical analysis.
Therefore, researchers often spend considerable effort checking their data. This paper …

Data management in diabetes clinical trials: a qualitative study

A Nourani, H Ayatollahi, M Solaymani Dodaran - Trials, 2022 - Springer
Background Clinical trials play an important role in expanding the knowledge of diabetes
prevention, diagnosis, and treatment, and data management is one of the main issues in …

Comparing the accuracy and speed of four data-checking methods

KA Barchard, AJ Freeman, E Ochoa… - Behavior Research …, 2020 - Springer
Double entry locates and corrects more data-entry errors than does visual checking or
reading the data out loud with a partner. However, many researchers do not use double …

A review of clinical data management systems used in clinical trials

A Nourani, H Ayatollahi… - Reviews on recent clinical …, 2019 - ingentaconnect.com
Background: A clinical data management system is a software supporting the data
management process in clinical trials. In this system, the effective support of clinical data …

A clinical data management system for diabetes clinical trials

A Nourani, H Ayatollahi… - Journal of Healthcare …, 2022 - Wiley Online Library
Background. The use of novel medications and methods to prevent, diagnose, treat, and
manage diabetes requires confirmation of safety and efficacy in a well‐designed study prior …

Data management system for diabetes clinical trials: a pre-post evaluation study

A Nourani, H Ayatollahi… - BMC Medical Informatics …, 2023 - Springer
Background Data management system for diabetes clinical trials is used to support clinical
data management processes. The purpose of this study was to evaluate the quality and …

The Development of a Clinical Registry Digital Database on Invasive Fungal Infections in India: Advancing Epidemiological Understanding and Patient Care

H Kaur, KJ Singh, S Sharma, M Das, V Albert, AK Ojha… - Journal of Fungi, 2024 - mdpi.com
A well-structured digital database is essential for any national priority project as it can
provide real-time data analysis and facilitate quick decision making. In recent times …

Simplifying Multimodal Clinical Research Data Management: Introducing an Integrated and User-friendly Database Concept

A Schweinar, F Wagner, C Klingner… - Applied Clinical …, 2024 - thieme-connect.com
Background Clinical research, particularly in scientific data, grapples with the efficient
management of multimodal and longitudinal clinical data. Especially in neuroscience, the …