University of Agder, Norway.
Deggendorf Institute of Technology, European Campus Rottal-Inn, Germany.
Stud Health Technol Inform. 2024 Aug 22;316:344-345. doi: 10.3233/SHTI240414.
Digital Health Twins (DHTs) hold immense potential to revolutionize healthcare by providing personalized virtual models of individual patients and their health conditions. This position paper discusses about the needs to overcoming the challenges in standardization and information models for data integration, collection, and visualization for realizing the full potential with digital twin technology. By addressing these challenges, digital health twins can enable better decision-making, enhance patient care, and contribute to the advancement of personalized healthcare solutions.
数字健康双胞胎(Digital Health Twins,DHT)通过为个体患者及其健康状况提供个性化的虚拟模型,具有彻底改变医疗保健的巨大潜力。本立场文件讨论了需要克服标准化和信息模型方面的挑战,以实现数据集成、收集和可视化,从而充分发挥数字孪生技术的潜力。通过解决这些挑战,数字健康双胞胎可以帮助做出更好的决策,改善患者护理,并促进个性化医疗保健解决方案的进步。