Skip to content

Exploring if artificial intelligence can be used to help monitor patients after surgery

Artificial intelligence approaches to monitoring surgical inpatients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN36476735
Enrollment
100
Registered
2024-10-16
Start date
2024-10-21
Completion date
Unknown
Last updated
2024-10-28

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

Conditions

Microvascular free flap failure Skin and Connective Tissue Diseases

Interventions

Patients undergoing elective and trauma microvascular free flap reconstructive surgery at participating NHS hospitals will be invited to join the study. In addition to receiving the current gold stand

Sponsors

The University of Edinburgh
Lead Sponsor
NHS Lothian
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. All adult plastic surgery patients (=16 years old) undergoing reconstructive microvascular free flap surgery 2. Patient has the capacity to consent for inclusion in the study

Exclusion criteria

Exclusion criteria: 1. Children (<16 years old) 2. Patients who lack the capacity to consent for inclusion in the study

Design outcomes

Primary

MeasureTime frame
The accuracy of the prognostic model (including precision, recall, AUC/ROC curve and F1 score) in predicting whether free flaps are normal or abnormal measured using patient data stored in “REDCap” of post-operative monitoring data, including routine checks and photographs, in patients undergoing elective and trauma microvascular free flap reconstructive surgery at participating NHS hospitals at one timepoint

Secondary

MeasureTime frame
Risk factors for free flap failure and for developing other complications, such as deep vein thrombosis and infection, measured using an analysis of patient data stored in “REDCap” of patients' demographic data and post-operative monitoring data at one timepoint

Countries

England, Scotland, United Kingdom

Contacts

Public ContactFiona Smith
fiona.smith32@nhs.net+44 (0)7929371620

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026