New algorithm could help ERs decide who really needs to stay

NCT ID NCT06345378

Ongoing Knowledge-focused Sponsor: Mario Negri Institute for Pharmacological Research Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study aims to create and test a computer algorithm that can tell if a patient's admission to the hospital from the emergency department was medically appropriate. Researchers will analyze data from 1,200 adults who came to the ER with chest pain, belly pain, shortness of breath, or fainting. The goal is to develop a tool that uses existing hospital records to measure quality of care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could give hospitals a reliable tool to measure whether emergency admissions are appropriate, potentially improving patient care and reducing unnecessary hospital stays.
What could go wrong: This is an observational study focused on data analysis, not a treatment trial. The algorithm may not work well in other hospitals or for different symptoms.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Emergencies

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

APPROPRIATENESS EMERGENCY DEPARTMENTS EVALUATION QUALITY OF CARE

Contacts and locations

Locations

ASST Papa Giovanni XXIII

Bergamo, BG, 24127, Italy

More trials for these conditions

Other studies related to the condition(s) this trial covers.