Amid the increasing burden of chronic diseases globally, effectivemanagement of these conditions has come into sharp focus for governments and international organizations. The development of management tools driven by technological progress is crucial for enhancing the efficiency of chronic disease management and promoting reform in management models. This article reviews the application of traditional tools (such as paper data collection forms, questionnaires, and electronic medical records) and emerging tools (including the Internet of Things, blockchain, and artificial intelligence) in chronic disease management, discussing their functions, advantages, and limitations. Traditional tools are widely available but lack efficiency, while emerging technologies excel in personalized services and real-time analysis, albeit with higher hardware costs. China should fully leverage these emerging technologies to drive the development of personalized and intelligent chronic disease management models, in line with the goal of realizing a “Healthy China.”
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |