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Multi-centre validation and clinical experience of EzaPredictive for the Emergency Room and clinical departments

Multi-centre validation and clinical experience of EzaPredictive for the Emergency Room and clinical departments - Validation Study EzaPredictive 1.0

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON53270
Enrollment
250
Registered
2023-09-20
Start date
2023-10-02
Completion date
Unknown
Last updated
2024-11-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

verblijfsduur en/of opname van SEH patiënten en ligduur klinische patiënten nvt

Interventions

None listed

Sponsors

Expertisecentrum Zorgalgoritmen
Lead Sponsor

Eligibility

Age
18 Years to 64 Years

Inclusion criteria

Inclusion criteria: Healthcare professionals in the participating hospitals, who (1) are involved in patient flow management, (2) work in an emergency department, acute admission department or inpatient department during the study period and (3) have received the necessary instruction beforehand

Exclusion criteria

Exclusion criteria: Healthcare professionals are excluded when it is not realistic to expect that he/she will be able to make estimates for a minimum of 10 patients, given the number of shifts he/she has scheduled during the study period.

Design outcomes

Primary

MeasureTime frame
The main study endpoints for the first objective (comparing predictions of ML and healthcare professionals) are the predictive performance of healthcare professionals and ML models. The main study endpoints for the second objective (assessing healthcare professional experience of ML software) are the questionnaire outputs regarding healthcare professional experience with the EzaPredictive 1.0 software.

Secondary

MeasureTime frame
The secondary study endpoints for the first objective (comparing predictions of ML and healthcare professionals) is the inter-rater reliability between healthcare professionals and ML models.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)