This article is mainly to sort out and review the field of online health care, explore the current research status of the field of online health care, reveal the research hotspots and research frontiers in this field, and provide references for other related research in the field of online health care, mainly through the following way: use citespace to visually analyze the data obtained from Web of Science. The following conclusions are drawn: The United States has strong scientific research capabilities in the field of online health care; according to citation clustering, it can be grouped into 8 research categories, and there are 8 key node documents; research hotspots can be divided into three stages, and the research front will center on knowledge, expand with quality. Starting from the Internet, online health communities, health information management, and online health education are currently research hot topics. Quality assessment and knowledge management around the above topics will be the future development direction of the online health carse field.

This paper aims to build an endogenous assurance of learning (AOL) of statistics course based on OBE concept and AOL framework, which is "outcome-oriented, student-centered and quality continuously improving". In the concrete construction, it is mainly realized through the following ways: first, the diversified, multi-stage and multi-level training objectives should be determined based on the talent demand survey. Second, individualized and flexible training programs should be inversely designed based on learning objectives. Third, in order to improve the teaching quality, teaching methods need to be innovated continuously. Fourth, internet technology should be utilized to enrich teaching resources. Fifth, a pluralistic, multi-stage and diversified assessment system should be established. At the same time, the training objectives, training programs, assessment and evaluation system should be constantly improved through the feedback mechanism.

Based on OBE concept, this paper aims to build an endogenous new business data and analysis ability training system with "achievement oriented, student-centred and continuous quality improvement". In the specific construction, mainly through the following path. First, it should clear teaching objectives and establish personnel training criteria based on data analysis ability. Second, based on personnel training criteria and knowledge construction theory, it should construct progressive ability training curriculum system. Third, it should deepen the integration of production and education and build a new talent training mode. Fourth, it should innovate teaching methods and improve teaching quality. Fifth, it should create a diversified, multi-stage and diversified assessment system.