Identifying potential challenges early in the process allows for timely and effective solutions, ensuring the resilience of the clinical data management system. Here, we delve into strategic risk ...

Technological Advancements: The integration of artificial intelligence (AI), machine learning (ML), and cloud-based solutions in CDMS platforms is revolutionizing data accuracy and management ...

By embracing advanced intelligence systems, governance frameworks and dynamic controls, organizations are redefining ...

Recent research found a correlation between the upfront time to build and release a clinical database and its impact on downstream data management processes in conducting and completing trials.

Handling huge amounts of data is what the Hitachi Clinical Repository (HCR ... necessitating a data management system that compiles, analyzes and shares with immediate access, taking into account ...

A quality management system (QMS) is essential to a safe and efficiently run diagnostic ... with the aim of improving the quality and outcome of patient care. Clinical audit involves evaluation of ...

April 1, 2025 /PRNewswire/ -- Veeva Systems (NYSE: VEEV) today announced Veeva SiteVault CTMS, a clinical trial management system for research ... bidirectional data flow to sponsors to reduce ...

Although the global digital transformation of health care has faced resistance, FCV has charted its own path toward a digital ecosystem tailored to its context.

At high levels of management, it is sometimes necessary to analyze vast amounts of data. A decision support system is an algorithmic ... Support Systems." PSNet. "Clinical Decision Support Systems." ...

Icon clinical data science vice-president Evan Hughes said: "Icon leads in risk-based quality management ... and the central nervous system. During this period, Icon claims to have used ...