Using predictive analytics to improve emergency medicine for neurological deficits
Predictive and Advanced Analytics in Emergency Medicine - Neurological Deficits
This study is testing if using smart computer models can help doctors in emergency rooms better predict and manage neurological problems in patients.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 50000 (estimated) |
| Ages | 18 Years to 120 Years |
| Sex | All |
| Sponsor | Medical University of Vienna Academic / other |
| Locations | 1 site (Vienna) |
| Trial ID | NCT06245694 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older, regardless of gender.
Not a fit: Patients under 18 years old will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more efficient and effective emergency care for patients with neurological deficits.
How similar studies have performed: While the use of predictive analytics in healthcare is gaining traction, specific applications in emergency medicine remain largely untested, making this approach novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Female and Male subjects * Age ≥ 18 years Exclusion Criteria: \- none
Where this trial is running
Vienna
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.