Digital health records and AI optimize the performance of the Emergency departments.

Expansion of electronic health data

Electronic health data has exploded since 2008 in the USA: 9.4% of hospitals had made their data digital in 2008 compared to 83.8% in 2015.

AI used to make a diagnosis and propose protocols in the Emergency Department.

“The goal is to lay the foundation for the next generation of intelligent electronic health records, in which artificial intelligence is embedded to facilitate medical diagnosis, customize treatment suggestions, make documentation faster and better, and predict adverse events before they occur. “ David Sontag

Using the following data, David Sontag has developed algorithms capable of diagnosing the most common pathologies in the Emergency Department. This algorithm fed a web application of diagnoses made available to emergency practitioners.

  • Patient medication data (dark orange)
  • Emergency treatment data (gray)
  • Notes taken at the triage by emergency nurses (in blue)
structured and unstructured data
Decision support application based on algorithms trained from patient data

Increase Emergency Triage Productivity

David Sontag’s team is using Artificial Intelligence to develop self-completion systems that allow triage nurses to work quickly and accurately. An algorithm makes predictions based on the constants entered upon arrival in the ER and the patient’s medical record.

Auto-completion System

Knowledge graphs to refine diagnostics

Health records are also used by researchers to create graphs of causal knowledge learning the relationships between diseases and symptoms. These knowledge graphs, once established, will be used to propose diagnoses and treatments.

Algorithms used to create knowledge graphs (Naive Bayes, Logistic Regression, Noisy-OR)

Knowledge graphs for prevention

These knowledge graphs can also be used in the context of disease control. Researchers have chosen to use the power of Machine Learning to help evaluate a total of 7,962 biologically active compounds found in food sources.

HyperFoods Knowledge graph


Article written from this video: Lightning Talk: AI-Powered Electronic Medical Records (David Sontag)

Knowledge Graphs & Deep Learning at YouTube

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