A pragmatic approach to streamlining technology and innovating processes will help advance clinical data management.

To clarify, suppose the clinical trial data was: NCT01, ... ,"Disease_A,Disease_B", NCT02 ... Terminal commands were stored in shell scripts, language specific code was stored in separate files (for ...

Advanced digital technologies are designed to facilitate the sourcing of patient data from multiple medical device types (e.g ...

In the dynamic environment of biotechnology trials, the significance of Clinical Data Management systems (CDMs) cannot be overstated. As we navigate the complexities of these trials and the ...

New health data regulations promise to empower patients and help research, but can they overcome difficulties in ...

Viking Therapeutics' VENTURE-Oral study of VK2735 has completed enrollment, with a readout set for H2'25. Learn why VKTX ...

CitiusTech's John Edward discusses how AI can transform healthcare despite imperfect data, exploring Agentic AI, data quality ...

For example, forms, mappings ... long”, then you know without a doubt that the quality of your data is high. Our clinical metadata repository and study automation platform has been built ...

I feel like companies are on the cusp, but the industry doesn't know how to pull it all together.” Not only in the US are ...

Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) ...

Drawing on examples such as stroke misdiagnosis and chemotherapy dosage miscalculations by prior AI systems, the authors ...