Usability, Ergonomics, and Educational Value of a Novel Telestration Tool for Surgical Coaching: Usability Study.

Background: Telementoring studies found technical challenges in achieving accurate and stable annotations during live surgery using commercially available telestration software intraoperatively. To address the gap, a wireless handheld telestration device was developed to facilitate dynamic user interaction with live video streams.

Objective: This study aims to find the perceived usability, ergonomics, and educational value of a first-generation handheld wireless telestration platform.

Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support.

Deep learning for computer vision can be leveraged for interpreting surgical scenes and providing surgeons with real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been demonstrated, especially to geographic locations that lack hardware and infrastructure necessary for real-time inference. We propose a new equipment-agnostic framework for real-time use in operating suites.

Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game.

Background:  Major bile duct injuries during laparoscopic cholecystectomy (LC), often stemming from errors in surgical judgment and visual misperception of critical anatomy, significantly impact morbidity, mortality, disability, and health care costs.

Objective:  To enhance safe LC learning, we developed an educational mobile game, LapBot Safe Chole, which uses an artificial intelligence (AI) model to provide real-time coaching and feedback, improving intraoperative decision-making.

Methods:  LapBot Safe Chole offers a free, accessible simulated learning experience with real-time AI feedback.

LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy.

Background: Gaming can serve as an educational tool to allow trainees to practice surgical decision-making in a low-stakes environment. LapBot is a novel free interactive mobile game application that uses artificial intelligence (AI) to provide players with feedback on safe dissection during laparoscopic cholecystectomy (LC). This study aims to provide validity evidence for this mobile game.

Educational value of a novel telestration device for surgical coaching-a randomized controlled trial.

Introduction: Communication is fundamental to effective surgical coaching. This can be challenging for training during image-guided procedures where coaches and trainees need to articulate technical details on a monitor. Telestration devices that annotate on monitors remotely could potentially overcome these limitations and enhance the coaching experience.

What is the educational value and clinical utility of artificial intelligence for intraoperative and postoperative video analysis? A survey of surgeons and trainees.

Introduction: Surgical complications often occur due to lapses in judgment and decision-making. Advances in artificial intelligence (AI) have made it possible to train algorithms that identify anatomy and interpret the surgical field. These algorithms can potentially be used for intraoperative decision-support and postoperative video analysis and feedback.

Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy.

Introduction: Bile duct injuries (BDIs) are a significant source of morbidity among patients undergoing laparoscopic cholecystectomy (LC). GoNoGoNet is an artificial intelligence (AI) algorithm that has been developed and validated to identify safe ("Go") and dangerous ("No-Go") zones of dissection during LC, with the potential to prevent BDIs through real-time intraoperative decision-support. This study evaluates GoNoGoNet's ability to predict Go/No-Go zones during LCs with BDIs.

Training for excellence: using a multimodal videoconferencing platform to coach surgeons and improve intraoperative performance.

Introduction: Continuing Professional Development opportunities for lifelong learning are fundamental to the acquisition of surgical expertise. However, few opportunities exist for longitudinal and structured learning to support the educational needs of surgeons in practice. While peer-to-peer coaching has been proposed as a potential solution, there remains significant logistical constraints and a lack of evidence to support its effectiveness.

Perceptions of the multidisciplinary operative team on intraoperative telecoaching among surgeons.

Telecoaching, intraoperative coaching through videoconference, has been suggested as a tool to overcome logistical barriers with in-person coaching. However, little is known about the operative team's perception of telecoaching and its unique set of challenges. This qualitative study explores the perceptions of the multidisciplinary operative team on surgical telecoaching.

Establishing validity evidence for device-assisted advanced laparoscopic suturing tasks using simulation.

Background: Laparoscopic suturing (LS) is an essential technique required for a wide range of procedures, and it is one of the most challenging for surgical trainees to master. We designed and collected validity evidence for advanced LS tasks using an automated suturing device and evaluated the perceived educational value of the tasks.

Methods: This project was a multicentre prospective study involving McGill University, University of Toronto (UofT), and Louisiana State University (LSU) Health New Orleans.

Development of a simulation curriculum to teach and assess advanced laparoscopic suturing skills using telesimulation: a feasibility study.

Background: Telesimulation helps overcome limitations in time and local expertise by eliminating the need for the learner and educator to be physically co-located, especially important during COVID-19. We investigated whether teaching advanced laparoscopic suturing (ALS) through telesimulation is feasible, effective, and leads to improved suturing in the operating room (OR).

Methods: In this prospective feasibility study, three previously developed 3D-printed ALS tasks were used: needle handling (NH), suturing under tension (UT), and continuous suturing (CS).

Impact of a Mobile App to Support Home Recovery of Patients Undergoing Bariatric Surgery.

Background: Perioperative patient education and engagement are critical components of care in patients undergoing bariatric surgery, given the short length of stay and the requirements to adhere to various instructions. The use of patient engagement mobile technology may promote adherence to perioperative protocols and improve care by potentially identifying complications earlier and reducing associated health care costs.

Materials And Methods: We introduced a mobile app that provides bariatric patients with access to educational materials and the ability to report on their symptoms.

Choice of rating scale labels: implication for minimizing patient satisfaction response ceiling effect in telemedicine surveys.

Background: Lack of response variability is problematic in surveys because of its detrimental effects on sensitivity and consequently reliability of the responses. In satisfaction surveys, this problem is caused by the ceiling effect resulting from high satisfaction ratings. A potential solution strategy is to manipulate the labels of the rating scale to create greater discrimination of responses on the high end of the response continuum.

Multiple Intravenous Infusions Phase 2b: Laboratory Study.

Background: Administering multiple intravenous (IV) infusions to a single patient via infusion pump occurs routinely in health care, but there has been little empirical research examining the risks associated with this practice or ways to mitigate those risks.

Objectives: To identify the risks associated with multiple IV infusions and assess the impact of interventions on nurses' ability to safely administer them.

Data Sources And Review Methods: Forty nurses completed infusion-related tasks in a simulated adult intensive care unit, with and without interventions (i.

Multiple Intravenous Infusions Phase 2a: Ontario Survey.

Background: Research conducted in earlier phases of this study prospectively identified a number of concerns related to the safe administration of multiple intravenous (IV) infusions in Ontario hospitals.

Objective: To investigate the potential prevalence of practices or policies that may contribute to the patient safety risks identified in Phase 1b of this study.

Data Sources And Review Methods: Sixty-four survey responses were analyzed from clinical units where multiple IV infusions may occur (e.

Developing healthcare rule-based expert systems: case study of a heart failure telemonitoring system.

Background: The use of expert systems to generate automated alerts and patient instructions based on telemonitoring data could enable increased self-care and improve clinical management. However, of great importance is the development of the rule set to ensure safe and clinically relevant alerts and instructions are sent. The purpose of this work was to develop a rule-based expert system for a heart failure mobile phone-based telemonitoring system, to evaluate the expert system, and to generalize the lessons learned from the development process for use in other healthcare applications.

Mobile phone-based telemonitoring for heart failure management: a randomized controlled trial.

Background: Previous trials of telemonitoring for heart failure management have reported inconsistent results, largely due to diverse intervention and study designs. Mobile phones are becoming ubiquitous and economical, but the feasibility and efficacy of a mobile phone-based telemonitoring system have not been determined.

Objective: The objective of this trial was to investigate the effects of a mobile phone-based telemonitoring system on heart failure management and outcomes.

Perceptions and experiences of heart failure patients and clinicians on the use of mobile phone-based telemonitoring.

Background: Previous trials of heart failure telemonitoring systems have produced inconsistent findings, largely due to diverse interventions and study designs.

Objectives: The objectives of this study are (1) to provide in-depth insight into the effects of telemonitoring on self-care and clinical management, and (2) to determine the features that enable successful heart failure telemonitoring.

Methods: Semi-structured interviews were conducted with 22 heart failure patients attending a heart function clinic who had used a mobile phone-based telemonitoring system for 6 months.

Self-care and quality of life of heart failure patients at a multidisciplinary heart function clinic.

Background: Multidisciplinary heart function clinics aim to improve self-care through patient education and to provide clinical management.

Objective: The objectives of the present study were to investigate the self-care and quality of life of patients attending a multidisciplinary heart function clinic and to explore the relationship between self-care and quality of life.

Methods: One hundred outpatients attending a multidisciplinary heart function clinic were asked to complete a questionnaire.

Attitudes of heart failure patients and health care providers towards mobile phone-based remote monitoring.

Background: Mobile phone-based remote patient monitoring systems have been proposed for heart failure management because they are relatively inexpensive and enable patients to be monitored anywhere. However, little is known about whether patients and their health care providers are willing and able to use this technology.

Objective: The objective of our study was to assess the attitudes of heart failure patients and their health care providers from a heart function clinic in a large urban teaching hospital toward the use of mobile phone-based remote monitoring.

The impact of telemedicine on greenhouse gas emissions at an academic health science center in Canada.

Objective: This study estimates the reduction in greenhouse gas (GHG) emissions resulting from 840 telemedicine consultations completed in a 6-month time period. Our model considers GHG emissions for both vehicle and videoconferencing unit energy use. Cost avoidance factors are also discussed.