The Revolution in Progressive Healthcare Techniques

Abstract

The healthcare system has moved from post-World War II to revolution. It focuses on infectious diseases and occupational accidents that require temporary interventions. Today’s main goal is to prevent and effectively treat chronic diseases. Healthcare productivity lags behind other service industries as these goals change. The future health ecosystem, like any other ecosystem, will focus on the consumer, which includes effective patient treatment and the healthcare workers. The skills and services that will make up the future health ecosystem include medical imaging modalities integrated with traditional care, home and self-care, patient involvement, self- and virtual care and use of telemedicine (remote monitoring) that can be increasingly provided near or at home. Social care and networks related to the patient’s overall health, with an emphasis on community problems of unmet needs, are taken care too. Patient behaviour and habits that enable well-being and health, including fitness and diet, are also seen as essential elements. The expansion of wearables and the lack of skilled nurses have increased the need for automated, real-time, personalized designs for the medical care of inpatients. Such designs require proficiency in chronic disease management, surgical methods, after care and mental health. Machine learning (ML), artificial intelligence (AI) and data science are everywhere. While data science, machine learning and artificial intelligence are separate tools, when combined together they are powerful, and using them hand in hand is transforming the way we manage the large inflow of medical data and can transform the healthcare into a new medical revolution.