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shows potential relation between structure of genes, and physical & emotional health of an individual. Patients have started hile the world is talking worrying about why and how they about technology have been victims of a particular health enhancements and AI and issue. Especially with respect to mission to Mars, healthcare sector is lifestyle diseases, they demand cause evolving rapidly to redefine itself. Very and effect to be mapped in a scientific soon the changes will dwarf the other manner at least going back to their sectors in terms of impact and genome sequence. importance to human history. This article talks about digital revolution Major trend setting forces here are Big that will transform the healthcare Data and AI. With end-to-end EMR landscape globally. and genomic data of millions of patients available like never before, Prescriptive and reactive care to technology can start clustering and Predictive and proactive care categorizing populations based on Traditionally, medicine in healthcare genomic sequences, habits like has been mostly treatment based for an smoking, family history, and much ailment. External factors like bacteria more. This then can be linked to early or virus impact health of an individual warning signs and symptoms, reactions and medicine is expected to help to specific treatment protocols, health human body fight these external outcomes and most importantly, risk of enemies. Medicine of today starts getting into a specific health condition when a patient, who is unwell, like Cancer or Diabetes. approaches a clinical expert to help fight against his health problems. Predictive sciences take it one step forward with deep learning algorithms This is very counterintuitive in cases of that not only predict “what” but also cancer, diabetes, hypertension etc., predict “when”. Today, these which do not have any known external innovative technologies are being influencers. Research on genomics deployed on a pilot basis and very soon W December 2017 we will see these getting into the mainstream. As per a research study, age adjusted admission rates for all-cause hospitalisation were 631.3 and 454.8 per 1,000 participant years and the mean length of stay was 8.2 and 7.1 days respectively for participants with and without diabetes. When we are able to have effective predictive and preventive methods, can we focus on these high risk patients? The paradigm changes here from treating a patient (when he presents himself with a complaint) to helping a global citizen live a healthy life by not being a patient. In tomorrow’s world, no global citizen is going to experience the typical symptoms. Even before those symptoms come to the surface, the risk will be mitigated. This is just like destroying a plot of terrorist attack! Episodic Cost management to Reduce number of incidents to manage costs The biggest challenge for any public or private healthcare organisation is reducing costs of healthcare and making it more and more affordable. 35