SCCM Resource Library-Data Science to Improve Clinical Care

Video Transcription

Video Summary

Dr. Greg Martin, a professor at Emory University School of Medicine and research director for the Emory Critical Care, discussed the role of data science, artificial intelligence, and machine learning in improving patient care in critical care settings. He explained that data science combines mathematics, science, statistics, and informatics to gain insights from data, and in healthcare, it is used to improve patient care and healthcare systems. Artificial intelligence aims to recreate intelligence using computers, while machine learning involves developing algorithms that continuously learn and evolve from data. Dr. Martin emphasized the importance of integrating data science into healthcare to create a learning healthcare system, where data is continuously collected, integrated, analyzed, and used to optimize patient care. He highlighted the potential applications of data science in diagnosing conditions, identifying complications, ensuring quality care, and individualizing treatment. Dr. Martin concluded by stating that data science will play a key role in the future of critical care and that collaboration between clinicians and data scientists is crucial in achieving the best patient outcomes.

Asset Subtitle

Quality and Patient Safety, 2022

Asset Caption

The Society of Critical Care Medicine's Critical Care Congress features internationally renowned faculty and content sessions highlighting the most up-to-date, evidence-based developments in critical care medicine. This is a presentation from the 2022 Critical Care Congress held from April 18-21, 2022.

Meta Tag

Content Type Presentation

Knowledge Area Quality and Patient Safety

Knowledge Level Intermediate

Knowledge Level Advanced

Membership Level Select

Tag Evidence Based Medicine

Year 2022

Keywords

data science

artificial intelligence

machine learning

patient care

healthcare systems

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