NCT06245694 Predictive and Advanced Analytics in Emergency Medicine - Neurological Deficits
| NCT ID | NCT06245694 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Medical University of Vienna |
| Condition | Artificial Intelligence |
| Study Type | OBSERVATIONAL |
| Enrollment | 50,000 participants |
| Start Date | 2022-01-01 |
| Primary Completion | 2025-01-01 |
Eligibility & Interventions
Eligibility Fast-Check
Enter your details for a quick preliminary check. This does not replace medical advice.
What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 50,000 participants in total. It began in 2022-01-01 with a primary completion date of 2025-01-01.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
Future predictive modeling in emergency medicine will likely combine the use of a wide range of data points such as continuous documentation, monitoring using wearables, imaging, biomarkers, and real-time administrative data from all health care providers involved. Subsequent extensive data sets could feed advanced deep learning and neural network algorithms to accurately predict the risk of specific health conditions. Moreover, predictive analytics steers towards the development of clinical pathways that are adaptive and continuously updated, and in which healthcare decision-making is supported by sophisticated algorithms to provide the best course of action effectively and safely. The potential for predictive analytics to revolutionize many aspects of healthcare seems clear in the horizon. Information on the use in emergency medicine is scarce. Aim of the study is to evaluate the performance of using routine-data to predict resource usage in emergency medicine using the commonly encountered symptom of acute neurologic deficit. As an outlook, this might serve as a prototype for other, similar projects using routine medical data for predictive analytics in emergency medicine.
Eligibility Criteria
Inclusion Criteria: * Female and Male subjects * Age ≥ 18 years Exclusion Criteria: \- none
Contact & Investigator
Frequently Asked Questions
Who can join the NCT06245694 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, up to 120 Years, studying Artificial Intelligence. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT06245694 currently recruiting?
Yes, NCT06245694 is actively recruiting participants. Contact the research team at jan.niederdoeckl@meduniwien.ac.at for enrollment information.
Where is the NCT06245694 trial being conducted?
This trial is being conducted at Vienna, Austria.
Who is sponsoring the NCT06245694 clinical trial?
NCT06245694 is sponsored by Medical University of Vienna. The trial plans to enroll 50,000 participants.