SCCM Resource Library-Did Data Science Say They Were Septic?

Video Transcription

Video Summary

In this talk, Tim Buckman discusses the role of data science in diagnosing sepsis. He highlights the limitations of current definitions of sepsis, which are subjective and state-centric. Buckman explains that data science can help improve accuracy and consensus in sepsis diagnosis by leveraging electronic health records and machine learning. However, he also mentions the challenges associated with data collection and integration, as well as the need for better visualizations of the data. Buckman emphasizes the importance of timing in sepsis intervention, stating that current definitions often identify sepsis at a late stage when organ dysfunction has already occurred. He discusses different perspectives on sepsis diagnosis, including public health, quality assurance, clinical trials, and clinician perspectives. Buckman concludes by cautioning against misinterpreting data science findings and highlights the need to consider the context and purpose of the analysis.

Asset Subtitle

Sepsis, Quality and Patient Safety, 2022

Asset Caption

This session will explore the changes in sepsis definitions and their impact not only on the sepsis population but on other patient groups as well. Speakers will explore whether new methods of data analysis could help us get closer to the ultimate goal of better recognition and treatment of sepsis.

Meta Tag

Content Type Presentation

Knowledge Area Sepsis

Knowledge Area Quality and Patient Safety

Knowledge Level Intermediate

Knowledge Level Advanced

Learning Pathway Sepsis Resources

Membership Level Select

Tag Sepsis

Tag Evidence Based Medicine

Year 2022

Keywords

data science

sepsis diagnosis

limitations of current definitions

electronic health records

machine learning

Sepsis

Quality and Patient Safety

Sepsis

Evidence Based Medicine

Presentation

Select

2022

Intermediate

Advanced

Sepsis Resources

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