# Prediction of Patient Deterioration Using Machine Learning

> **NCT05045742** · — · COMPLETED · sponsor: **Brigham and Women's Hospital** · enrollment: 526 (actual)

## Conditions studied

- Infection
- Heart Failure
- Chronic Obstructive Pulmonary Disease
- Asthma
- Gout Flare
- Chronic Kidney Diseases
- Hypertensive Urgency
- Atrial Fibrillation Rapid
- Anticoagulants; Increased

## Interventions

- **OTHER:** Traditional vital sign alarms versus the BioVitals Index vs the National Early Warning Score 2

## Key facts

- **NCT ID:** NCT05045742
- **Lead sponsor:** Brigham and Women's Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2021-03-20
- **Primary completion:** 2025-03-20
- **Final completion:** 2026-02-16
- **Target enrollment:** 526 (ACTUAL)
- **Last updated:** 2026-03-17

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05045742

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05045742, "Prediction of Patient Deterioration Using Machine Learning". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT05045742. Licensed CC0.

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