Biomedical Informatics and Data Science - Clinical Applications in Neonatal and Critical Care

Explore clinical applications of biomedical informatics and data science in this 59-minute Grand Rounds lecture featuring Dr. Khyzer Aziz from Johns Hopkins Medicine. Learn how biomedical informatics and data science can be applied to neonatal and critical care, with particular emphasis on tools such as the neonatal Sequential Organ Failure Assessment (nSOFA). Recognize the importance of patient-level severity of illness measures in improving risk stratification, outcomes research, and clinical decision-making. Examine the opportunities and challenges of using electronic health records (EHRs) and observational data to advance clinical care, research, and quality improvement initiatives. Apply principles of informatics to understand how structured data, predictive tools, and real-world evidence can be integrated into clinical workflows. Gain insights into how data science methodologies can transform healthcare delivery and improve patient outcomes through evidence-based approaches. Discover practical applications of informatics tools in critical care settings and understand the role of data-driven decision making in modern healthcare environments.