MedPath

Procedural Skills Transfer in Bronchoscopy

Recruiting
Conditions
Respiratory Disease
Registration Number
NCT07168408
Lead Sponsor
University of Edinburgh
Brief Summary

Brief summary The goal of this Feasibility study is to capture bronchoscopy data from patients (Group1) and bronchoscopists (Group 2) over a period of three years. The investigators wish to collect the pre-procedure CT scans and endoscopy videos of 300 patients. Up to 20 bronchoscopists will take part in the study

Primary outcomes

1. To collect imaging data from patients undergoing routine bronchoscopy procedures

2. To collect movement data from clinicians performing the routine bronchoscopy procedures using a sensory Glove

Secondary outcomes

1. Integrate the data gathered with procedure guidelines to develop a representation of procedure success using machine learning algorithms.

2. Develop an actionable knowledge base for bronchoscopy skill transfer to novice/untrained medical staff.

3. Investigate the feasibility of developing models of bronchoscopy procedures to develop training tools in the future

There are no additional samples or time commitments from the participants in Group 1.

The participants in Group 2 will be asked to answer a short questionnaire about their experience in performing bronchoscopies and will be asked to wear a sensory glove during the bronchoscopy procedure to capture their hand movements.

Detailed Description

Bronchoscopy is a procedure for visualising the inside of the lung and airways. During bronchoscopy, a thin tube is passed through the patient's mouth or nose, down the throat and into the lungs. This allows the practitioner to examine the patient's airways for abnormalities such as inflammation. Additionally, samples may be taken from inside the lungs.

Success rate of bronchoscopy relies on the practitioners experience. Patients undergoing bronchoscopy performed by novice bronchoscopists have an increased complication rate. Data from clinical practice suggest that bronchoscopy has a prolonged learning curve and trainees should perform a number of procedures, under supervision, to learn the technique.

In this study the investigators aim to capture bronchoscopy data from patients (Group1) and bronchoscopists (Group 2) over a period of 3 years. The investigators will collect the pre-procedure CT scans and endoscopy videos of 300 patients. Up to 20 bronchoscopists will take part in the study by answering a short questionnaire on their experience and wearing sensorized gloves which will record their hand movements during the procedure. the investigators aim to use this data to develop computer algorithms and simulators that will assist in the training of new bronchoscopists, decreasing the time required to learn the technique and improving patient safety.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
320
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
To collect imaging data from patients undergoing routine bronchoscopy proceduresup to 1 hour

The bronchoscopy images will be recorded using a screen capture device

to collect movement data from clinicians performing the routine bronchoscopy proceduresup to 1 hour

A sensory glove will be worn by the clinicians to capture their hand movements during the routine bronchoscopy

Secondary Outcome Measures
NameTimeMethod
Integrate the data gathered with procedure guidelines to develop a representation of procedure success using machine learning algorithms1 year after completion of data collection

Develop machine learning algorithms to

Investigate the feasibility of developing models of bronchoscopy procedures to develop training tools in the future.1 year after completion of data collection

Once data has been analysed investigate whether this can be used to develop training tools for future clinicians

Trial Locations

Locations (1)

Royal Infirmary of Edinburgh

🇬🇧

Edinburgh, United Kingdom

Royal Infirmary of Edinburgh
🇬🇧Edinburgh, United Kingdom
Katie Hamilton
Contact
07827288016

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