Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-AI in Big Data and Population Health

AI in Big Data and Population Health_Gupta

Pdf Summary

The document discusses the use of artificial intelligence (AI) and big data in healthcare. The author highlights machine learning (ML) algorithms as the new "drugs" and suggests that healthcare data is the new "blood." The document also mentions predictive clinical algorithms, including rules-based and stats-based predictive algorithms.<br /><br />Furthermore, the document discusses the role of natural language processing (NLP) in healthcare, specifically in documentation improvement. It provides examples of using NLP to add missing diagnoses, improve specificity of diagnoses, and ensure diagnoses are supported by evidence.<br /><br />Additionally, the document mentions the use of automatic speech recognition (ASR) in healthcare. ASR technology captures physician and patient conversations to identify problems, medications, and allergies that may need to be noted in the patient's chart.<br /><br />Overall, the document emphasizes the potential benefits of AI and big data in transforming healthcare and improving patient outcomes. The author can be contacted at tanuj.gupta@cerner.com.

Keywords

artificial intelligence

big data

machine learning

predictive algorithms

natural language processing

documentation improvement

automatic speech recognition

healthcare

patient outcomes

data transformation