CrowdMapping: A Crowdsourcing-Based Terminology Mapping Method for Medical Data Standardization
Standardized terminology is the prerequisite of data exchange in analysis of clinical processes. However, data from different electronic health record systems are based on idiosyncratic terminology systems, especially when the data is from different hospitals and healthcare organizations. Terminology standardization is necessary for the medical data analysis. We propose a crowdsourcing-based terminology mapping method, CrowdMapping, to standardize the terminology in medical data. CrowdMapping uses a confidential model to determine how terminologies are mapped to a standard system, like ICD- 10. The model uses mappings from different health care organizations and evaluates the diversity of the mapping to determine a more sophisticated mapping rule. Further, the CrowdMapping model enables users to rate the mapping result and interact with the model evaluation. CrowdMapping is a work-in-progress system, we present initial results mapping terminologies.
Crowdsourcing Medical Informatics Vocabulary,Controlled
Huajian Mao Chenyang Chi Boyu Huang Haibin Meng Jinghui Yu Dongsheng Zhao
Institute of Health Service and Medical Informatics,Academy of Military Medical Sciences of Chinese PLA,Beijing,China
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
511-515
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）