Augmented Reality in Outpatient Care: A Narrative Review

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ABSTRACTIntroductionAugmented reality (AR) is seeing an increase in its applications in healthcare, but its reach in outpatient care remains undefined. Patients in outpatient settings face poor medical understanding. AR may help address this gap between patients and physicians through immersive and interactive models and supporting tools. This narrative review aims to evaluate the status of AR in outpatient care, categorise its applications, and identify limitations and future research needs.MethodsFour databases–PubMed, Embase, Web of Science and Cochrane Library–were conducted for peer‐reviewed studies published from January 2015 to February 2025. Studies were included if they regarded AR interventions in outpatient care settings. Studies were analysed and grouped thematically into five clinical domains of AR intervention.ResultsAfter review, 19 studies–spanning 987 participants–were included. AR applications were categorised into patient education and engagement (n = 3), cognitive and functional assessment (n = 3), device interaction and remote monitoring (n = 3), procedural guidance in outpatient interventions (n = 5), and rehabilitation and functional recovery support (n = 5). Most included studies were pilot studies (n = 6) and had relatively small sample sizes (median = 28). Studies proved that AR interventions consistently improved patient understanding, engagement and procedural support. Nevertheless, studies faced limitations including the need for specialised and bulky hardware–which affected patient comfort as well–reliability issues, technical difficulties and platform‐specific inconsistencies.ConclusionAR has been proved to have the potential to improve outpatient care across five main areas: patient education, cognitive and functional assessment, medical device interaction, procedural guidance and rehabilitation. Studies consistently support that AR enhances patient comprehension, engagement and procedural accuracy while allowing for remote monitoring and personalised therapy. Furthermore, AR interventions demonstrate high usability and clinical relevance. Nevertheless, limitations such as hardware complexity and inconsistent technical performance remain. Future research should prioritise large‐scale RCTs and strategies to integrate AR into pre‐existing digital workflows.

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Purpose: The aim of the study was to analyze the effect of augmented reality (AR) applications on in-store shopping experience in South Africa. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: AR applications in South African retail stores enhance the in-store shopping experience by improving consumer engagement, convenience, and satisfaction. These technologies allow customers to visualize products in real-time, access detailed information, and receive personalized recommendations, thus reducing perceived purchase risks and aiding decision-making. Overall, AR differentiates brands, attracts more foot traffic, and fosters customer loyalty by offering unique and memorable shopping experiences. Unique Contribution to Theory, Practice and Policy: Technology acceptance model (TAM), flow theory, uses and gratifications theory (UGT) may be used to anchor future studies on effect of augmented reality (AR) applications on in-store shopping experience in South Africa. Retailers should integrate AR applications to create more interactive and engaging in-store experiences. Policymakers should establish clear guidelines on data privacy and protection related to AR applications. This includes ensuring that personal data collected through AR experiences is securely stored and used ethically.

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