The presenter frequently refers to slides on a screen via hand gestures; however, except for one instance, less than one-quarter of any slide is ever visible in the video. As a result, the presented material is very difficult to follow.

This is a very broad presentation, covering a lot of somewhat dissimilar material. Wei Wang tries to cover many different healthcare disciplines that contribute to big data. She begins mainly with data derived from medical devices, then mobile health, and finally goes into genomic data. These are very different types of data about a person, with different implications for the provision of healthcare or clinical decision making. She then adds material about electronic health record (EHR) data, which seems a little out of place.

Wang talks about data integration, modeling, and usability with respect to the data being discussed. In integration, she talks about the different types of data and how it might be difficult to integrate them; in modeling, she discusses PubMed and the lack of reproducibility for much of the research results; with respect to usability, it is obvious there is significant difficulty correlating the different types of data.

Wang shows expertise in the genetic information field, but is seemingly not as knowledgeable of the other types of data presented. In addition, it is not clear that she is well versed in the data produced by medical devices and mobile devices, or in the clinical workflow of caring for patients.

The video fails to accurately explain the difference between a database and a knowledge base, or how modeling works and what the constraints are in building a model. At one point, Wang inappropriately equates different types of data.

I do not recommend this video.