The paper carries out co-word clustering analysis on the subject headings of relevant papers downloaded from PubMed database, extracts high frequency subject headings and generate co-occurrence matrix, according to the bonding strength calculating formula, the center word for each category is determined, so as to explore the hot spots of consumer health information, including information literacy investigation for various ages, consumer network health information, health promotion, etc.