4 research outputs found

    Virtual Surgical Planning in Craniomaxillofacial surgery: A Structured Review

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    Craniomaxillofacial (CMF) surgery is a challenging and very demanding field that involves the treatment of congenital and acquired conditions of the face and head. Due to the complexity of the head and facial region, various tools and techniques were developed and utilized to aid surgical procedures and optimize results. Virtual Surgical Planning (VSP) has revolutionized the way craniomaxillofacial surgeries are planned and executed. It uses 3D imaging computer software to visualize and simulate a surgical procedure. Numerous studies were published on the usage of VSP in craniomaxillofacial surgery. However, the researchers found inconsistency in the previous literature which prompted the development of this review. This paper aims to provide a comprehensive review of the findings of the studies by conducting an integrated approach to synthesize the literature related to the use of VSP in craniomaxillofacial surgery. Twenty-nine related articles were selected as a sample and synthesized thoroughly. These papers were grouped assigning to the four subdisciplines of craniomaxillofacial surgery: orthognathic surgery, reconstructive surgery, trauma surgery and implant surgery. The following variables – treatment time, the accuracy of VSP, clinical outcome, cost, and cost-effectiveness – were also examined. Results revealed that VSP offers advantages in craniomaxillofacial surgery over the traditional method in terms of duration, predictability and clinical outcomes. However, the cost aspect was not discussed in most papers. This structured literature review will thus provide current findings and trends and recommendations for future research on the usage of VSP in craniomaxillofacial surgery

    Mobile Applications in Otology: A Scoping Review

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    This scoping review aims to comprehensively synthesize current research on the use of mobile applications in otology, identify research gaps, and assess the feasibility of mobilebased applications in this field. The aim is to support and direct future research studies on harnessing the potential of mobile technology in otology. Following the PRISMA-ScR guidelines, a literature profiling approach was adopted using the Google Scholar search engine from September 2022 to January 2023. Only articles published in English between 2012 and 2023 were included, resulting in a final sample size of 32 papers. The results revealed an increasing focus on the remote delivery of healthcare, with the majority of the articles originating from the United States and authored by medical doctors. Two main categories were identified within the 32 selected journals: audiology and smartphone otoscopy. A total of 124 mobile applications were identified in these journals, with 48 applications for hearing tests and 27 applications for smartphone otoscopes being the most commonly utilized. Mobile applications have the potential to serve as valuable tools in the field of otology, especially in the context of smartphone hearing tests and smartphone-enabled otoscopes. However, further research is needed to assess their effectiveness, accuracy, and appropriate usage

    Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review

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    Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners\u27 knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers then conducted qualitative coding for thematic analysis and categorized the qualitative data to find themes and patterns. Enablers as well as barriers to CAI adoption in healthcare were then discussed along with the common conclusions, limitations and recommendations for future studies. Results shows that key enablers were perceived ease of use, ease of usefulness, performance expectancy, social influence, user experience, and effort expectancy while identified key barriers were government support, funding constraints, and interactivity. The majority of the research articles highlighted the benefits of CAI in healthcare education as an innovative method for boosting the effectiveness of both teaching and learning

    Technology Adoption of Computer-Aided Instruction in Healthcare: A Structured Review

    Get PDF
    Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners’ knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers then conducted qualitative coding for thematic analysis and categorized the qualitative data to find themes and patterns. Enablers as well as barriers to CAI adoption in healthcare were then discussed along with the common conclusions, limitations and recommendations for future studies. Results shows that key enablers were perceived ease of use, ease of usefulness, performance expectancy, social influence, user experience, and effort expectancy while identified key barriers were government support, funding constraints, and interactivity. The majority of the research articles highlighted the benefits of CAI in healthcare education as an innovative method for boosting the effectiveness of both teaching and learning
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