Transition to electronic medical records (EMR) is one of the basic directions of digital transformation of healthcare. One of the urgent modern problems of EMR management is the quality of data that are accumulated in modern medical information systems. Given the growing role of EMRs as a source of information for medical decision support systems, the introduction of management elements based on primary data, and the development of research in the field of realworld clinical practice data (RWD), there is a growing need for reliable and objective methods to assess the quality of data accumulated in EMRs. In this regard, the development of reliable methods and tools for data quality assessment (DQA) in EMR is an urgent scientific task. Aim. To study and systematize the approaches, methods and criteria of proposed in the scientific literature. Materials and Methods. Reviews and original articles on the subject of EMRs DQA were studied. Sources were identified by systematic search in four electronic bibliographic databases: PubMed, Web of Science, Scopus and RSCI. Results. The paper presents the main approaches and criteria for assessing the quality of EMR data, harmonizes the terms and definitions of DQA, and identifies the key components required to implement an EMRs DQA system. Conclusion. The generic EMRs DQA criteria formulated in the review can be used for further research and development of DQA tools, including by medical information system developers and health care organizers responsible for the digital transformation of the industry. Also, this work will help eliminate confusion about EMR data quality management and provide the guidance needed to develop effective DQA programs.