Healthcare informatics emphasizes on the gathering, processing, assessment, and utilization of health records, information, and expertise. By connecting genetics, proteomics, and patient records, bioinformatics uses computational methods and tools to research and analyze huge biological datasets, completely understand illness, and grasp genetics and proteomics. Interpreting genomic and proteomic data for basic biological research, as well as for use in healthcare, drug discovery, and related fields, is the main focus. Large amounts of electronic data collection in the healthcare industry lead to the development of analytics. Data analytics is adept at enhancing healthcare, cutting costs, and preserving people. The explosion of data leads to the use of data analytics in the healthcare industry to explore understandings and make smart judgments. In order to create a better health service, this paper focuses on bioinformatics, healthcare informatics, and analytics. It examines the advantages, how each one helps to improve the health service, how bioinformatics, health informatics, and analytics connect, and lastly, what the coming times holds for healthcare informatics as well as analytics.