Design and effectiveness evaluation of DeepSeek-assisted intelligent system for chronic disease patient management
Guan wei
The Hong Kong Polytechnic University
DOI: https://doi.org/10.59429/esta.v12i2.10574
Keywords: Chronic disease management; Artificial intelligence; Patient care; Healthcare system; Effectiveness evaluation
Abstract
This study examines the design and evaluation of an intelligent system augmented by DeepSeek for chronic disease patient management.In response to the global burden of chronic diseases and healthcare resource shortages, this research targeted three common conditions:diabetes, hypertension, and COPD.The study employed mixed methods including surveys, interviews, clinical data analysis, and resource utilization assessment.Results demonstrated significant improvements in patient satisfaction(27% improvement), clinician efficiency(32% decrease in documentation time), and clinical outcomes(HbA1c reduction from 7.8% to 7.1% among diabetic patients;12.4 mmHg reduction in systolic BP among hypertensive patients).Rehabilitation targets were achieved 28% earlier and readmissions reduced by 36% among diabetics.Implementation challenges included data integration, user reluctance, workflow disruption, and regulatory uncertainties.Optimization strategies encompassed technical improvements, user acceptance enhancement, simplified operations, and policy solutions.This study demonstrates DeepSeek technology’s ability to revolutionize chronic disease management through personalized monitoring, smart interventions, and resource optimization, providing valuable insights for healthcare facilities seeking to implement AI-assisted patient management.
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