Through the use of our expanding knowledge of the molecular causes of disease, genomic medicine seeks to transform the delivery of healthcare. Data sets are big and extremely varied because research in this field is data demanding. Researchers need to integrate these vast and varied data sets in order to derive knowledge from the data. This poses difficult informatic difficulties, including the need to integrate disparate data sources and describe data in a way that is acceptable for computational inference. Bioinformatics and the development of electronic medical records (EMRs) are two important topics in healthcare. The technologies for data collecting, processing, and visualization in two distinct domains were established as a result of the widespread use of EMR systems and the conclusion of the Human Genome (HG-Project). In the not too distant future, personalized, preventive, and predictive healthcare services are anticipated to be made possible by the vast amounts of data from the clinical and biological domains. Four essential informatics domains must be taken into account for the combined use of EMR and bioinformatics data: data modeling, analytics, standards, and safety. Researchers in the fields of clinical informatics and medical genomics will benefit from this study's comprehensive understanding of p-Health care, big data research in healthcare, and future research objectives.