Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
ID05108376

Feasibility and Initial Clinical Impressions of Predictive Monitoring Integrated With the RACE Team

Led by Ottawa Hospital Research Institute · Updated on 2025-05-14

140

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Rapid response teams (RRTs) are used in hospitals to provide urgent care to patients who need quick attention to prevent worsening health. Early warning scores (EWS) help identify which patients need RRT assessment by analyzing vital signs and lab results. The Visensia Safety Index (VSI) is an EWS that uses continuous vital sign monitoring and machine learning to predict patient deterioration and can connect with hospital data systems. Previous studies showed VSI could reduce instability duration and serious episodes. This study aims to test the feasibility and impact of using VSI with a portable monitoring system at The Ottawa Hospital to identify high-risk patients earlier. Patients in this study will have their vital signs continuously monitored by the VSI, which alerts the Rapid Assessment of Critical Events (RACE) team if deterioration is detected. The VSI device will be integrated into patient care to provide real-time alerts to hospital staff. This is a single-arm study evaluating the implementation and use of the VSI monitoring system alongside the RACE team for early detection of patient decline. Participants will be observed over a 10-month period to assess the technical feasibility of capturing and transmitting continuous data to the VSI tool, and the clinical feasibility based on feedback from doctors, nurses, and respiratory therapists. The study will also evaluate the financial feasibility of using VSI. Key outcomes include the rate of data collection, alert reporting to RACE, and opinions of healthcare providers. The potential clinical and financial impacts of VSI will be assessed upon study completion.

CONDITIONS

Brief Title

Feasibility and Initial Clinical Impressions of Predictive Monitoring Integrated With the RACE Team

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adult patient aged 18 years or older
  • Designated for Category 1 (Full Care) or Category 2 (Full Care except CPR) status
  • Patients who have undergone high-risk elective surgery (e.g., Whipple, vascular, general surgery)
  • Malignant hematology or oncology patients at high risk for deterioration
  • Patients admitted from the Emergency Department to the ward with an infection
  • Other high-risk patients as determined by the clinical team
Not Eligible

You will not qualify if you...

  • Patients admitted to units with higher level monitoring such as Neurological Acute Assessment Unit, Acute Monitoring Area, Trauma Step-Down, or Intensive Care Unit
  • Patients with Category III status (Full Care except Respiratory or Hemodynamic Life Support, or CPR)
  • Patients with Category IV status (Comfort Care)

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Implementation

Duration - Up to 10 months

Participants undergo continuous vital sign monitoring using the Visensia Safety Index (VSI) to identify early deterioration and notify the RACE team.

Continuous monitoring throughout hospitalization

Trial Site Locations

Total: 1 location

1

The Ottawa Hospital

Ottawa, Ontario, Canada, K1H 8L6

Actively Recruiting

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Research Team

A

Andrew JE Seely, MD, PhD, FRCSC

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NA

Model

SINGLE_GROUP

Primary Purpose

SUPPORTIVE_CARE

Number of Arms

1

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Published Research Related To This Trial

Assessing Clinical Impressions of Early Warning Score Integration With the Rapid Response Team: Protocol for a Prospective Cohort Study.

Alexandre Tran, Rashi Ramchandani, Jamie Brehaut...

https://pubmed.ncbi.nlm.nih.gov/40742731