AR/VR for Ultrasound-guided Medical Procedures

NCT ID: NCT06550193

Last Updated: 2024-08-12

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 100 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2025-09-30
• Study Completion Date: 2025-12-31

Brief Summary

The study seeks to assess the efficacy of incorporating augmented reality (AR) or virtual reality (VR) technology into ultrasound-guided medical procedures such as regional anesthesia and line placement. By utilizing AR/VR devices, the investigators will improve the ergonomics when using ultrasound to guide procedures. The aims are to enhance visualization of anatomical structures and improve procedural accuracy for clinicians. The study aims to evaluate the feasibility, and effectiveness of integrating AR/VR technology into ultrasound-guided procedures, with the ultimate goal of improving patient outcomes.

Detailed Description

The investigators aim to learn several key insights from this study. Firstly, they hope to determine the extent to which augmented reality (AR) or virtual reality (VR) technology can enhance the precision and accuracy of ultrasound-guided medical procedures, such as regional anesthesia and line placement. This includes evaluating whether AR/VR visualization leads to improved needle placement and reduced complication rates.

Furthermore, the investigators aim to evaluate the usability and acceptance of AR/VR technology among clinicians, considering factors such as user experience, comfort, and integration with existing workflow processes.

The importance of this new knowledge lies in its potential to improve medical practice by leveraging cutting-edge technology to improve patient outcomes and expand access to quality healthcare globally. If AR/VR proves to be effective in enhancing procedural accuracy, it could lead to significant advancements in healthcare delivery, particularly in underserved communities and resource-limited settings by leveraging remote care. Additionally, insights gained from this study could inform the development of future AI assisted AR/VR applications in medicine, driving innovation and improving the standard of care across various medical specialties.

Conditions

Augmented Reality; Virtual Reality

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: DIAGNOSTIC
• Blinding Strategy: NONE

Study Groups

AR/VR

AR/VR technology for ultrasound-guided procedures.

Group Type: EXPERIMENTAL

Ultrasound-guided procedure using AR/VR technology

Intervention Type: DEVICE

Participants will receive the intervention, which involves utilizing AR/VR technology during ultrasound-guided procedures (e.g., regional anesthesia, line placement). All participants will receive standard pre- and post-block or line care as they normally would for the ultrasound-guided procedure.

Interventions

Ultrasound-guided procedure using AR/VR technology

Participants will receive the intervention, which involves utilizing AR/VR technology during ultrasound-guided procedures (e.g., regional anesthesia, line placement). All participants will receive standard pre- and post-block or line care as they normally would for the ultrasound-guided procedure.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• adult patients presenting for ultrasound-guided procedures, with ASA physical status I, II, or III.

Exclusion Criteria

• pregnancy
• incarceration
• BMI >35

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Stanford University

OTHER

Sponsor Role: lead

Responsible Party

Jean-Louis Horn

Professor of Anesthesiology, Perioperative and Pain Medicine

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Stanford University

Stanford, California, United States

Countries

United States

Central Contacts

Jean-Louis Horn, MD

Role: CONTACT

hornj@stanford.edu

5033811645

Ksenia (kasimova), MD

Role: CONTACT

kasimova@stanford.edu

6507889458

Facility Contacts

Ksenia Kasimova, MD

Role: primary

kasimova@stanford.edu

650-788-9458

Other Identifiers

75204

Identifier Type: -

Identifier Source: org_study_id