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Live Onboarding and Compliance Training for Healthcare Workers Using XR

K. KumararajaNew Prince Shri Bhavani College of Engineering and Technology,Department of Mech,ChennaiMohammed H. FallahCollege of Technical Engineering, The Islamic University,Department of Computers Techniques Engineering,Najaf,IraqAmit SharmaKalinga University,Department of Commerce,Raipur,IndiaSatyasri Naga SubbalaxmiGodavari Global University,Department of Computer Science and Engineering,Rajamahendravaram,Andhra PradeshK. Sriram KumarKarpagam Institute of Technology,Department of Information Technology,Coimbatore,641105I.A. IsmoilovTashkent State University of Uzbek Language and Literature named after Alisher Navoi,Tashkent,UzbekistanDedakhanov Abdumalik MutalliyevichTuran International University,Faculty of Humanities & Pedagogy,Namangan
2025
ABI

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Healthcare organizations struggle with the need to successfully recruit new employees and make them comply with the policy requirements. Classroom training, videos, or simulations used in traditional training methods are rarely applicable in engaging the learner, being one-on-one, or avoiding expensive mistakes that compromise patient wellbeing and place learning at legal risks. The Adaptive Live Multimodal XR Onboarding and Compliance Ecosystem (ALM-XROCE) fills such gaps with a combination of extended reality (VR, AR, MR) and real-time AI and live instructions delivered by a professional. Its learning engine is also adaptive and personalizes the learning process by tracking behaviors and biometrics, modifying the complexity of the sessions, and addressing knowledge gaps in near real-time. The system also provides support of remote instructors in the form of avatars or holograms, compliance checkpoints and collaborative training. Pilot tests demonstrate that ALM-XROCE outperforms traditional approaches in terms of engagement and knowledge retention of the learner and adherence to compliance criteria, and analytics facilitates the optimization of content and certification administration, which is a scalable, immersive solution that can improve training outcomes and patient safety.

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