It’s important to understand the correlation between various healthcare entities like doctors, patients, hospitals, insurers and government to know underlined insights and key factors associated with it. We helped a Bay Area-based startup develop a health knowledge graph, which is a large interconnection of different datasets related to these entities. It allows one to explore hypotheses through Natural language processing. These multiple datasets can be clubbed together with customer specific data, in turn giving holistic insights to life science and healthcare organizations.