Exploration of the construction of medical teaching laboratories under the background of new medicine:Taking the teaching platform of intelligent diagnosis and health intervention as an example
[Objective]With the continuous advancements in technology,the integration of innovations such as the Internet of Things,big data analytics,artificial intelligence,and robotics into the medical is becoming increasingly pronounced.Medicine is evolving from a traditional"biomedical model"to an"intelligent medical model."Centered around the national strategy of"Healthy China 2030,"this paper explores building a national"new medical science"and medical teaching laboratories under the framework of new medical disciplines,leveraging the intelligent diagnosis,treatment,and health intervention platform at Shandong Second Medical University.[Methods]This platform integrates multiple disciplines,such as preventive medicine,rehabilitation medicine,kinematics,and psychology.It leverages cutting-edge technologies such as mobile communication,artificial intelligence triage systems,wearable diagnostic and treatment devices,and medical big data analytics.This platform also supports multiple modes that contain multimodal health sign information acquisition,multidimensional health assessment,personalized intervention plan decision support,and transparent robot management.They gather real-time vital sign data of sub-healthy patients and offer multidimensional health assessments based on physiological,motor function,and biochemical indicators.By accumulating multidimensional data,the platform delivers professional diagnoses,early screenings,and personalized treatment services.This creates an integrated,full-process,closed-loop health service system covering multimodal data extraction,big data analytics,disease diagnosis screening,personalized intervention,treatment,and nursing rehabilitation.The aim is to detect,treat,and facilitate recovery from major diseases at an early stage.[Results]Simulation experiments demonstrated the platform's ability to perform the main functions for sub-healthy patients,including health status detection,health status evaluation,exercise prescription issuance and execution,and execution effect evaluation.These functionalities form a complete health management loop centered around exercise as a means to promote health.Furthermore,the platform can automatically generate comprehensive health evaluation assessment results based on health sign tests,exercise function tests,and questionnaire surveys.Ultimately,informed by the above comprehensive evaluation results,personalized exercise guidance suggestions,personalized dietary guidance suggestions,and personalized behavior habit correction suggestions are obtained.[Conclusions]This paper underscores the use of intelligent diagnosis and health intervention platforms for screening major diseases in sub-healthy patients by integrating multimodal features.This platform improves the accuracy and screening efficiency of disease screening for sub-healthy patients by continuously accumulating multidimensional vital sign data.For high-risk populations,the platform offers personalized interventions and treatment schemes,enabling transparent tracking management and tailored health interventions.This platform facilitates lifecycle tracking,intelligent diagnosis and treatment,and personalized intervention for sub-healthy patients,thereby enhancing health crisis warning systems and improving overall health and medical services.Additionally,when integrated with the industry-university-research mode,this platform can cultivate students'abilities to use information technology to solve complex medical problems.This approach fosters the development of interdisciplinary talent in both medical and industrial contexts,supporting the goals of new medical disciplines.
new medical sciencemedical educationlaboratory constructionintelligent diagnosis and treatmenthealth intervention
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