Using predictive analytics to improve emergency medicine for neurological deficits

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to evaluate how predictive modeling can enhance resource allocation in emergency medicine by utilizing a variety of data sources, including continuous monitoring, imaging, and real-time administrative data. By employing advanced deep learning and neural network algorithms, the study seeks to accurately predict the risk of neurological deficits and optimize clinical pathways. The goal is to support healthcare decision-making with sophisticated analytics, ultimately improving patient outcomes in emergency settings. The research highlights the potential of predictive analytics in transforming emergency medicine practices.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Female and Male subjects
* Age ≥ 18 years

Exclusion Criteria:

\- none

Where it's running

• Emergency Department, Medical University Vienna
  Vienna, Austria Recruiting

Study contacts

• Study coordinator: Jan Niederdöckl, MD
• Email: jan.niederdoeckl@meduniwien.ac.at
• Phone: 0042 40 400 19640

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.