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Predictive Analytics

Predictive Analytics Monitoring for Clinical Deterioration in Cardiology (PM-IMPACCT Trial)

N/A

Waitlist Available

Led By Jamieson M Bourque, MD

Research Sponsored by Jamieson Bourque, MD

Eligibility Criteria Checklist

Specific guidelines that determine who can or cannot participate in a clinical trial

Must have

Timeline

Screening 3 weeks

Treatment Varies

Follow Up through study completion, on average one week

Awards & highlights

PM-IMPACCT Trial Summary

This trial will test whether or not displaying predictive analytics monitoring on acute care cardiology wards improves patient outcomes and is cost-effective to the health system.

Who is the study for?

This trial is for adult patients staying in a specific cardiology and cardiovascular surgery ward at UVa Hospital. They must be assigned to a bed that's part of the study's randomized clusters. There are no exclusion criteria, so all eligible patients in these beds can participate.Check my eligibility

What is being tested?

The trial is testing if showing predictive analytics on monitors (CoMET Display) helps improve patient outcomes in acute care cardiology wards. It compares standard monitoring with and without the additional predictive display over a 22-month period.See study design

What are the potential side effects?

Since this intervention involves monitoring with displays rather than medication or invasive procedures, there are no direct side effects from the CoMET Display itself.

PM-IMPACCT Trial Timeline

Screening ~ 3 weeks3 visits

Treatment ~ Varies

Follow Up ~ through study completion, on average one week

Screening ~ 3 weeks

Treatment ~ Varies

Follow Up ~through study completion, on average one week

This trial's timeline: 3 weeks for screening, Varies for treatment, and through study completion, on average one week for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.

Primary outcome measures

Hours free of events of clinical deterioration

Secondary outcome measures

Cost of Care

Death in sepsis

Hospital length of stay

+19 more

PM-IMPACCT Trial Design

2Treatment groups

Experimental Treatment

Active Control

Group I: CoMET DisplayExperimental Treatment1 Intervention

Display of Continuous Monitoring of Event Trajectories (CoMET) predictive monitoring score, with standard CoMET device training.Risk scores will also be presented daily during rounds to members of the care team.

Group II: No DisplayActive Control1 Intervention

Standard CoMET device training but no display or presentation of predictive monitoring score.

Do I qualify?Apply below to find out

Find a Location

Who is running the clinical trial?

Advanced Medical Predictive Devices, Diagnostics and Displays, Inc.UNKNOWN

Jamieson Bourque, MDLead Sponsor

Jamieson M Bourque, MDPrincipal InvestigatorUniversity of Virginia Health System

1 Previous Clinical Trials

900 Total Patients Enrolled

Media Library

CoMET Display (Predictive Analytics) Clinical Trial Eligibility Overview. Trial Name: NCT04359641 — N/A

Clinical Deterioration Research Study Groups: CoMET Display, No Display

Clinical Deterioration Clinical Trial 2023: CoMET Display Highlights & Side Effects. Trial Name: NCT04359641 — N/A

CoMET Display (Predictive Analytics) 2023 Treatment Timeline for Medical Study. Trial Name: NCT04359641 — N/A

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

Are there any opportunities to participate in this clinical trial currently available?

"The records hosted on clinicaltrials.gov suggest that this study is not presently recruiting participants. Initially posted on April 1st 2021, the trial was last updated in mid-November 2022 and at present there are no patient recruitment efforts underway; however, five other trials have opened their doors to volunteers."

Answered by AI

Recent research and studies

JMIR Research ProtocolsJournal

Predictive Monitoring: Impact in Acute Care Cardiology Trial (PM-IMPACCT) - A Randomized Clinical Trial Protocol (preprint)

Keim-Malpass, Jessica, Sarah J Ratcliffe, Liza P Moorman, Matthew T Clark, Katherine N Krahn, Oliver J Monfredi, Susan Hamil, Gholamreza Yousefvand, J. Randall Moorman, and Jamieson M Bourque. 2021. “Predictive Monitoring: Impact in Acute Care Cardiology Trial (PM-IMPACCT) - A Randomized Clinical Trial Protocol (preprint)”. JMIR Research Protocols. JMIR Publications Inc.. doi:10.2196/29631.

clinicaltrials.govStudy

Predictive Monitoring - IMPact in Acute Care Cardiology Trial

Jamieson Bourque, MD 2021. "Predictive Monitoring - IMPact in Acute Care Cardiology Trial". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT04359641.