Review of Research on Intelligent Algorithms Based on Electronic Health Records

Purpose/Significance Under the era of big data, information technologies such as artificial intelligence and blockchain have been developed rapidly. Electronic health records (EHRs) cover a large amount of key information on medical treatment, and intelligent algorithms based on EHRs play an important role in enhancing intelligent medical treatment. This field has attracted the interest of many scholars at home and abroad and achieved fruitful results. Design/Methodology By collating the research literature related to EHRs in the two core databases of Web of Science and CNKI, and combining the national policy background and the development status of EHRs databases at home and abroad, we analyzed the current situation and development trend of the research related to EHRs at home and abroad with visual charts, and classified the research results based on the application of intelligent algorithms in EHRs, showing the combination of intelligent algorithms and EHRs. Conclusions/Findings Through a retrospective study, the relationship between EHRs and artificial intelligence technologies such as deep learning, big data, reinforcement learning and blockchain is revealed, the shortcomings in the construction and utilization of EHRs database in China are identified, and relevant suggestions and countermeasures are proposed.