Active — Not RecruitingNot Applicable

Using Machine Learning to Optimise the Danish Drowning Formula

Denmark1,500 participantsStarted 2024-01-01

Plain-language summary

The Danish Drowning Formula (DDF) was designed to search the unstructured text fields in the Danish nationwide Prehospital Electronic Medical Record on unrestricted terms with comprehensive search criteria to identify all potential water-related incidents and achieve a high sensitivity. This was important as drowning is a rare occurrence, but it resulted in a low Positive Predictive Value for detecting drowning incidents specifically. This study aims to augment the positive predictive value of the DDF and reduce the temporal demands associated with manual validation.

Who can participate

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * The patient must have been experiencing respiratory impairment from submersion or immersion in liquid (including persistent coughing, respiratory arrest, and unconsciousness). * The patient must have been in contact with the Danish prehospital Emergency Medical Services. Exclusion Criteria: * Duplets * Invalid civil registration number

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

Sensitivity of the machine learning algorithm as a drowning identification tool

Timeframe: The sensitivity of the trained machine learning will be calculated based on data from 2022 and 2023.

Specificity of the machine learning algorithm as a drowning identification tool

Timeframe: The specificity of the trained machine learning will be calculated based on data from 2022 and 2023.

PPV of the machine learning algorithm

Timeframe: The PPV of the trained machine learning will be calculated based on data from 2022 and 2023.

NPV of the machine learning algorithm

Timeframe: The NPV of the trained machine learning will be calculated based on data from 2022 and 2023.

Trial details

NCT IDNCT06310525

SponsorPrehospital Center, Region Zealand

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-12-31

View on ClinicalTrials.gov More Drowning trials