NCT03923699

Brief Summary

Medical errors account for thousands of potentially preventable deaths each year. With the annual increase of surgical cases there is a need for research into the potential utility of a telemedicine-based control center for the operating room to assess risk, diagnose negative patient trajectories, implement evidence-based practices, and improve outcomes.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
79,560

participants targeted

Target at P75+ for phase_3 surgery

Timeline
Completed

Started Jul 2019

Typical duration for phase_3 surgery

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 6, 2019

Completed
2 months until next milestone

First Posted

Study publicly available on registry

April 23, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

July 1, 2019

Completed
3.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 31, 2023

Completed
1.5 years until next milestone

Results Posted

Study results publicly available

July 17, 2024

Completed
Last Updated

July 17, 2024

Status Verified

June 1, 2024

Enrollment Period

3.6 years

First QC Date

March 6, 2019

Results QC Date

January 31, 2024

Last Update Submit

June 22, 2024

Conditions

Keywords

TelemedicineAnesthesia Control TowerMachine LearningForecasting AlgorithmsDecision SupportRandomized Controlled Trial

Outcome Measures

Primary Outcomes (4)

  • Thirty-day Postoperative Mortality

    This will include death of any cause occurring in or out of the hospital, within 30 days of the index surgery.

    30 days post-op

  • Number of Participants With Postoperative Delirium

    Defined as an acute change in consciousness or cognition. It has a fluctuating course, and is characterized by inattention, disorganized thinking and altered level of consciousness. The institution has trained the nursing staff on our surgical intensive care units to assess all patients for postoperative delirium using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) instrument.

    7 days post-op

  • Number of Participants With Postoperative Respiratory Failure

    Defined as mechanical ventilation for greater than 24 hours after surgery, or unplanned postoperative re-intubation and mechanical ventilation within 30 days of surgery.

    30 days post-op

  • Number of Participants With Postoperative Acute Kidney Injury

    Diagnosed when any of the following three criteria are met: (i) an increase in serum creatinine by 50% compared with preoperative within 7 days, (ii) any increase in serum creatinine \> 0.3 mg/dL in 48 hours, or (iii) oliguria (urine output \<0.5 mL/kg/hr for 6-12 hours).

    7 days post-op

Secondary Outcomes (7)

  • Temperature Management

    1 day

  • Antibiotic Redosing

    1 day

  • Mean Arterial Pressure Management

    1 day

  • Mean Airway Pressure With Mechanical Ventilation

    1 day

  • Blood Glucose Management

    1 day

  • +2 more secondary outcomes

Study Arms (2)

Standard of care arm

NO INTERVENTION

Operating rooms in the standard of care group will be monitored but, the ACT clinicians will not contact the operating room unless it is clinically necessary for patient safety purposes.

Anesthesia Control Tower monitoring

EXPERIMENTAL

Clinicians in the Anesthesiology Control Tower will provide extra support for the anesthesiology team in the operating room using AlertWatch and integrating machine-learning forecasting algorithms for adverse outcomes.

Device: Anesthesia Control Tower monitoring

Interventions

Real time data will be monitored through the AlertWatch® system as well as the patient's EHR.

Anesthesia Control Tower monitoring

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • All patients 18 years or older undergoing surgery at Barnes Jewish Hospital in St. Louis, MO

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Washington University School of Medicine

St Louis, Missouri, 63110, United States

Location

Related Publications (4)

  • King CR, Fritz BA, Gregory SH, Budelier TP, Ben Abdallah A, Kronzer A, Helsten DL, Torres B, McKinnon SL, Tripathi S, Abdelhack M, Goswami S, Montes de Oca A, Mehta D, Valdez MA, Karanikolas E, Higo O, Kerby P, Henrichs B, Wildes TS, Politi MC, Abraham J, Avidan MS, Kannampallil T; ACTFAST collaborator group. Effect of telemedicine support for intraoperative anaesthesia care on postoperative outcomes: the TECTONICS randomised clinical trial. Br J Anaesth. 2025 Mar;134(3):671-680. doi: 10.1016/j.bja.2024.11.017. Epub 2025 Jan 3.

  • King CR, Fritz BA, Gregory SH, Budelier TP, Ben Abdallah A, Kronzer A, Helsten DL, Torres B, McKinnon SL, Tripathi S, Abdelhack M, Goswami S, de Oca AM, Mehta D, Valdez MA, Karanikolas E, Higo O, Kerby P, Henrichs B, Wildes TS, Politi MC, Abraham J, Avidan MS, Kannampallil T; ACTFAST collaborator group. Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomised Clinical Trial. medRxiv [Preprint]. 2024 Nov 26:2024.05.21.24307593. doi: 10.1101/2024.05.21.24307593.

  • Fritz B, King C, Chen Y, Kronzer A, Abraham J, Ben Abdallah A, Kannampallil T, Budelier T, Montes de Oca A, McKinnon S, Tellor Pennington B, Wildes T, Avidan M. Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study. F1000Res. 2022 Sep 29;11:653. doi: 10.12688/f1000research.122286.2. eCollection 2022.

  • King CR, Abraham J, Kannampallil TG, Fritz BA, Ben Abdallah A, Chen Y, Henrichs B, Politi M, Torres BA, Mickle A, Budelier TP, McKinnon S, Gregory S, Kheterpal S, Wildes T, Avidan MS; TECTONICS Research Group. Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial. F1000Res. 2019 Nov 29;8:2032. doi: 10.12688/f1000research.21016.1. eCollection 2019.

MeSH Terms

Conditions

Postoperative Complications

Condition Hierarchy (Ancestors)

Pathologic ProcessesPathological Conditions, Signs and Symptoms

Results Point of Contact

Title
Thomas Kannampallil
Organization
Washington University School of Medicine

Study Officials

  • Michael S Avidan, MBBCh

    Washington University School of Medicine

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

Study Type
interventional
Phase
phase 3
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
Anesthesia practitioner un-blinded to intervention, subject blinded to intervention, data analyst blinded to intervention, ACT Clinicians un-blinded to intervention
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: Randomized Parallel assignment
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 6, 2019

First Posted

April 23, 2019

Study Start

July 1, 2019

Primary Completion

January 31, 2023

Study Completion

January 31, 2023

Last Updated

July 17, 2024

Results First Posted

July 17, 2024

Record last verified: 2024-06

Data Sharing

IPD Sharing
Will not share

There is no plan to make individual participant data available to other researchers as the data is collected under a waiver of informed consent and is also protected by a Certificate of Confidentiality from the NIH.

Locations