Autor: |
Portilla F; University of Agder, Norway.; Deggendorf Institute of Technology, European Campus Rottal-Inn, Germany., Gerdes MW; University of Agder, Norway., Reichert F; University of Agder, Norway., Chaltikyan G; Deggendorf Institute of Technology, European Campus Rottal-Inn, Germany. |
Jazyk: |
angličtina |
Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 344-345. |
DOI: |
10.3233/SHTI240414 |
Abstrakt: |
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. |
Databáze: |
MEDLINE |
Externí odkaz: |
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