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ADVANCE-FORSEE: ADVANCEd video monitoring FOR early Signaling of adverse Events and optimal dischargE - ADVANCE-FORSEE: ADVANCEd video monitoring FOR early Signaling of adverse Events and optimal dischargE

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON58605
Enrollment
300
Registered
2026-04-07
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-05-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Postoperative complications Decline in health condition after surgery

Interventions

Video-based monitoring technology

Sponsors

Catharina Ziekenhuis
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Age = 18Willing and able to sign informed consent formAdmitted to the cardiothoracic ward after cardiac surgery

Exclusion criteria

Exclusion criteria: PregnancyInability to provide written informed consentMental disabilityLanguage barrier

Design outcomes

Primary

MeasureTime frame
The primary study endpoints are the performance of the deterioration detection and uneventful recovery algorithms.  Algorithm performance will be assessed using receiver operating characteristics (ROC) analysis expressed as the area under the curve (AUC) with corresponding 95% confidence intervals. Sensitivity, specificity, positive and negative predictive value will be calculated accordingly. 

Secondary

MeasureTime frame
The secondary endpoints are:Sensitivity, specificity and the time interval between algorithm-based detection and clinical confirmation by medical staff for complications such as atrial fibrillation, tamponade and acute coronary syndrome are calculated.Accuracy and data coverage of video-derived heart rate and respiratory rate measurements under varying lighting conditions, patient movement, skin type and occlusion will be determined by comparing it to reference standards obtaining using the IntelliVue MX40 and data availability.Accuracy and feasibility of extracting additional physiological and behavioral parameters including oxygen saturation, eye movement, paleness and patient movement from the generated video data.Proportion of data loss and incorrect detection of the two ROIs (head and chest).Performance of the data management solution expressed as the RMSE as a function of bitrate (kb/s) for several compression models & storage solutions.Acceptability of the video-based monitoring among healthcare providers, patients and family in terms of privacy, comfort, feeling of safety, ease of use and trust in the system, will be assessed using questionnaires, focus groups and interviews. 

Countries

Netherlands

Contacts

Public ContactJ.J. Delbressine

Catharina Ziekenhuis

jesse.delbressine@catharinaziekenhuis.nl040 239 5490

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP) · Data processed: May 22, 2026