An OMOP CDM-Based Relational Database of Clinical Research Eligibility Criteria
Eligibility criteria are important for clinical research protocols or clinical practice guidelines for determining who qualify for studies and to whom clinical evidence is applicable,but the free-text format is not amenable for computational processing.In this paper,we described a practical method for transforming free-text clinical research eligibility criteria of Alzheimers clinical trials into a structured relational database compliant with standards for medical terminologies and clinical data models.We utilized a hybrid natural language processing system and a concept normalization tool to extract medical terms in clinical research eligibility criteria and represent them using the OMOP Common Data Model(CDM)v5.We created a database schema design to store syntactic relations to facilitate efficient cohort queries.We further discussed the potential of applying this method to trials on other diseases and the promise of using it to accelerate clinical research with electronic health records.
Clinical Research Informatics Relational Data Management Electronic Health Record
Yuqi Si Chunhua Weng
Department of Biomedical Informatics,Columbia University,New York,NY,USA
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
950-954
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）