The transformation of the healthcare system has been a gift, born from the rapid advancements in technology. The digitization of the medical sector encompasses a range of advancements aimed at improving healthcare through technology converting analog information into digital format, a process not confined to the health sector alone. There are advancements of similar nature in various other fields and many of these are interlinked. Whereas, electronic transfer may find a special mention, which has potential to sustain healthcare upgradation. Digitisation is spread across a wide spectrum of human health and well being and has a specific function to deliver from diagnosis to treatment which were otherwise impulsive and dependent on personal nack and specialisation of medical professionals. For example the discovery of x-ray was a great boon to suffering humanity, digitisation of sophisticated versions of the same made its application more widespread, interpretive, recordable and storable. Invention of diagnostic machines and techniques accelerated pace of treatment which are now moving to precision with digitisation; it includes Electronic health records (EHRs) streamlining patient diagnosis data and its management. Telemedicine, a vital component of modern healthcare, especially in the wake of the COVID-19 pandemic, is meant for remote consultations. It offers real-time consultations, remote monitoring and reduces in-person visits. It often faces challenges when it comes to ensuring care quality, data security, and navigating regulations. The application of machine learning (ML) and artificial intelligence (AI) is considered to be the heart of this digitisation revolution, It makes predictive analytics possible for individualised treatment and early disease identification. Massive volumes of medical data, including electronic health records and imaging, can be analysed by ML algorithms to find patterns and trends. Furthermore, decision support systems driven by machine learning help medical professionals make precise diagnosis and treatment choices.