Education, Medical, Ultrasound Imaging
Conditions
Keywords
Medical Education, Point-of-Care Ultrasound
Brief summary
Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. This includes the use of point-of-care ultrasound by trainees, who are now utilizing this technology as part of their diagnostic assessments of patients. However, there are few studies that examine how efficiently trainees can learn point-of-care ultrasound and which training methods are more effective. The primary objective of this study is to assess whether artificial intelligence systems improve internal medicine interns' knowledge and image interpretation skills with point-of-care ultrasound. Participants shall be randomized to receive personal access to handheld ultrasound devices to be used for learning with artificial intelligence vs devices with no artificial intelligence. The primary outcome will assess their interpretive ability with ultrasound images/videos. Secondary outcomes will include rates of device usage and performance on quizzes.
Interventions
OTHERUltrasound with Artificial Inteligence Engabled
Participants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received.
OTHERUltrasound without Artificial Intelligence Enabled
Participants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received.
Sponsors
Stanford University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Investigator)
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
* Internal medicine residents rotating on the general inpatient wards service.
Exclusion criteria
* Residents who had taken an ultrasound elective offered by our residency program
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Time to acquire cardiac ultrasound images | During procedure (300 seconds) | This will be measured as the time to acquire a cardiac ultrasound image on a standardized patient, measured in seconds. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Assessment of the quality of captured images | During procedure (300 seconds) | Participants will acquire cardiac ultrasound images on a standardized patient. Two reviewers will review the images and provide a numerical assessment of image quality based on the Rapid Assessment for Competency in Echocardiography (RACE) Scale. This is a 0-20 point scale, with higher scores denoting higher image quality (e.g. a better quality image). |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORAndre D Kumar, MD
Stanford University
Outcome results
None listed