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Synthetic Data Case Study : Sharing Complex Health System Data

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New methods, such as synthetic data generation, have the potential to unlock the historically siloed and difficult-to-access data sets, and provide a channel for readily available access in a secure and reliable manner. Synthetic data is not considered to be personal information because there is no one-to-one mapping between the synthetic records and real people.

Recently, Heath city and his collaborators have synthesized a complex longitudinal health system dataset and evaluated its utility in a typical series of epidemiological analyses.

Guest speaker : Reg Joseph, CEO of Health City

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This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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