

The network function depends on the individual patient, external factors, and the ability of the network to overcome treatment mechanisms. The dimensionality of cancer networks is much higher compared to other disease systems cancer is a genomic disease, harbouring a number of mutated oncogenes and tumour suppressor genes that specify the molecular pathways for tumour growth, sustenance, and progression. This tiny difference in the genome sequence, in turn, causes a huge discordance in cancer treatment and drug resistance. In addition, individual human beings differ from one another by a genome difference of approximately 1%.

Though the path of precision oncology is unchartered, the usefulness of real-time information derived from EMR or electronic health records will lead to better precision decision-based oncotherapies.Ĭancer is a universal phenomenon, yet each cancer type differs from the other variants. In this article, a summary of the recent EMR-based precision oncology practices for prevention, diagnosis, prognosis, prediction, and their associated concerns and limitations is presented. EMR serve as a broad platform merging a variety of patient information and expert advice to facilitate co-ordinated cancer care. Both projects have invested heavily towards several goals, including the merging of cancer registries and EMR to find the best treatment options for a cancer patient, an idea which, if extended globally, will generate unprecedented possibilities for precision oncology. However, the technique took an astronomical leap with the start of the Precision Medicine Initiative Cohort Program and Cancer Moonshot programme very recently. The concept of precision oncology began with a few cancer awareness programmes and preventative screenings almost a decade ago. It aims to deliver better treatment outcomes through the design of rational drug combinations, a lower number of futile therapies, reduced patient discomfort, and a healthy human society with a reduced risk of cancer. Electronic medical record (EMR)-based precision oncology is a vision that is so far limited to a few pilot and basket studies, with the goal being the design of a proper treatment for cancer patients in real time, based on the panomics knowledge of the patient, and that of similar types of patients.
