Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Medicine (Baltimore). 2024 Sep 6;103(36):e39614. doi: 10.1097/MD.0000000000039614.
The advancement of digital technology, particularly telemedicine, has become crucial in improving healthcare access in rural areas. By integrating cloud computing and mHealth technologies, Internet-based Collaborative Outpatient Clinics offer a promising solution to overcome the limitations of traditional healthcare delivery in underserved communities.
A trial was conducted in 4 counties of Changzhi City in Shanxi Province, China. The system extended to 495 rural communities and served over 5000 rural residents. Deep learning algorithms were employed to analyze medical data patterns to increase the accuracy of diagnoses and the quality of personalized treatment recommendations.
After the implementation of the system, there was a significant improvement in the satisfaction levels of rural residents regarding medical services; the accuracy of medical consultations increased by 30%, and the convenience of medical access improved by 50%. There was also a notable enhancement in overall health management. Satisfaction rates among healthcare professionals and rural inhabitants were over 90% and 85%, respectively, indicating that the system has had a significant positive impact on the quality of health-care services.
The study confirms the feasibility of implementing telemedicine services in rural areas and offers evidence and an operational framework for promoting innovative healthcare models on a large scale.
数字技术的进步,特别是远程医疗,对于改善农村地区的医疗保健服务至关重要。通过整合云计算和移动医疗技术,基于互联网的协作门诊为克服服务不足社区传统医疗服务提供的局限性提供了一个有前途的解决方案。
在中国山西省长治市的 4 个县进行了一项试验。该系统扩展到 495 个农村社区,为 5000 多名农村居民提供服务。深度学习算法被用来分析医疗数据模式,以提高诊断的准确性和个性化治疗建议的质量。
系统实施后,农村居民对医疗服务的满意度显著提高;医疗咨询的准确性提高了 30%,医疗便利性提高了 50%。整体健康管理也得到了显著改善。医护人员和农村居民的满意度均超过 90%和 85%,这表明该系统对医疗服务质量产生了重大积极影响。
该研究证实了在农村地区实施远程医疗服务的可行性,并为大规模推广创新医疗模式提供了证据和操作框架。