互联网自助医疗诊断中数据隐私保护方案研究

Study on Data Privacy-preserving Scheme in Internet Self-service Medical Diagnosis

目的/意义针对互联网自助医疗诊断中易泄漏患者隐私的痛点,设计一套安全的数据隐私保护方案,既保护患者医疗健康数据,又提供准确的诊断和治疗建议。方法/过程医疗机构存储的疾病数据和患者医疗健康数据,经同态加密和隐私保护控制技术处理后上传至云服务器,云服务器计算患者医疗健康数据与医疗机构疾病数据之间的相似度并匹配患者疾病情况,将治疗方法发送给患者。结果/结论基于同态加密和隐私保护访问控制设计的医疗数据隐私保护方案,在互联网自助医疗诊断中能够有效保护患者隐私,同时提供准确的医疗诊断和治疗建议。

Purpose/Significance Aiming at the pain points that are easy to leak patient privacy in internet self-service medical diagnosis,a set of secure data privacy protection scheme is designed to protect patients’medical and health data and provide accurate diagnosis and treatment suggestions.Method/Process The disease data stored by the medical institutions and the patients’medical and health data are processed by homomorphic encryption and privacy protection control technology and uploaded to the cloud server.The cloud server calculates the similarity between the patients’medical and health data and the disease data of the medical institutions and matches the patients’disease condition to send the therapies to the patients.Result/Conclusion The medical data privacy protection scheme based on homomorphic encryption and privacy protection access control can effectively protect patients’privacy in internet self-service medical diagnosis,and provide accurate medical diagnosis and treatment recommendations.