Track 47: Clinical Research Informatics

Overview: Clinical Research Informatics (CRI)

Clinical Research Informatics (CRI) is a specialized discipline at the intersection of information science, computer technology, and clinical research. It focuses on developing and applying informatics solutions to support the design, execution, analysis, and reporting of clinical studies. CRI enables researchers to manage complex datasets, streamline workflows, and ensure the integrity and reproducibility of findings. By leveraging electronic health records (EHRs), clinical trial management systems (CTMS), eCRFs, real-world data (RWD), and data analytics platforms, CRI helps to improve participant recruitment, data quality, regulatory compliance, and decision-making. It plays a central role in modern decentralized trials, adaptive designs, and precision medicine initiatives. 

Key Sub-Topics in Clinical Research Informatics (Horizontal Format):

Electronic Data Capture (EDC) Systems · Clinical Trial Management Systems (CTMS) · Data Integration and Interoperability · Real-World Data (RWD) and Real-World Evidence (RWE) · Patient Recruitment Tools · eSource and eCRF Design · Data Standards (CDISC, HL7, FHIR) · Natural Language Processing (NLP) · Data Quality Assurance · AI and Machine Learning in Clinical Data Analysis · Blockchain in Research Data Security · Mobile Health and Wearables Integration · Data Visualization Tools · Metadata Repositories · Clinical Data Warehousing