Creating a tool to analyze emergency department records using language processing
Official title: Development and Validation of a Natural Language Processing Tool to Enable Clinical Research in Emergency and Acute Care Medicine: Retrospective Cohort Study
Run by Mario Negri Institute for Pharmacological Research · NCT06240572 · Data updated 2026-11-12
This study is testing a new tool that uses language processing to help understand and analyze emergency department records, making it easier for researchers to gather important information from patient visits.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300000 (estimated) |
| Sponsor | Mario Negri Institute for Pharmacological Research Academic / other |
| Locations | 8 sites (Milan, Milan and 7 other locations) |
| Status | Recruiting |
| Started | October 1, 2024 |
| Main results expected | January 2027 |
| Study ends | September 2027 |
| Registry record updated | July 15, 2026 |
| Trial ID | NCT06240572 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults who arrived at emergency departments between January 1, 2021, and December 31, 2023.
✕Probably not a fit
Patients who did not visit the emergency department during the specified time frame will not benefit from this study.
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 develop and validate a natural language processing (NLP) tool that can interpret electronic medical records from emergency departments. By automatically extracting relevant information from free text in these records, the study seeks to facilitate clinical research and quality assessments in emergency medicine. The retrospective cohort study will analyze data from adult patients who visited participating emergency departments over a three-year period, focusing on the tool's ability to accurately interpret and extract necessary information for research purposes.
Why it matters
Potential benefit: If successful, this tool could significantly enhance the ability to conduct research in emergency medicine, leading to improved patient care based on evidence derived from real-world data.
How similar studies have gone: Other studies utilizing natural language processing in healthcare have shown promise, indicating that this approach could be effective in the medical domain.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult * Arrived at emergency department between 1 January 2021 and 31 December 2023 Exclusion Criteria: * None
Where it's running
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Ospedale San Giovanni Bosco
Torino, Italy Recruiting -
Ospedale Sant'Andrea
Vercelli, Italy Recruiting -
Istituto di Ricerche Farmacologiche Mario Negri IRCCS
Milan, Milan, Italy Not yet recruiting -
AOU Policlinico 'G.Rodolico - San Marco'
Catania, Italy Not yet recruiting -
ASST Grande Ospedale Metropolitano Niguarda
Milan, Italy Not yet recruiting -
Ospedale Luigi Sacco
Milan, Italy Not yet recruiting
Show 2 more locations
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Ospedale San Luigi Gonzaga
Orbassano, Italy Not yet recruiting -
Ospedale Santa Maria delle Grazie
Pozzuoli, Italy Not yet recruiting
Study contacts
- Principal investigator: Guido Bertolini — Istituto Di Ricerche Farmacologiche Mario Negri
- Study coordinator: Chiara Pandolfini
- Email: chiara.pandolfini@marionegri.it
- Phone: 0039 02 39014 253
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.