Note: The below article includes excerpts from the September 2018 Health Affairs article "Implementing and Scaling Artificial Intelligence Solutions: Considerations for Policy Makers and Decision Makers." The full article can be accessed through the Health Affairs Journal, and was developed in partnership with Eric Just, MS, from Health Catalyst; and Bruce L. Gillingham, MD, CPE, FAOA RADM, MC, USN, Rear Admiral in the US Navy. The New England Journal of Medicine, Harvard Business Review, and other publications, noted that Artificial Intelligence (AI) and machine learning can achieve breakthroughs in improving patient safety, health, and reducing waste. AI infers patterns, relationships, and rules directly from large volumes of data in ways that can exceed human cognitive capabilities. Today, opportunities for greater deployment of AI in health are made possible by increased electronic data availability from mobile devices, sensors, cameras, and electronic health records; faster data processing capabilities; and newly developed computing techniques.
Electronic Health Record (EHR) software offers wide range of features that helps to maintain patient's medical data properly. With this Healthcare software, it is possible to view the holistic picture of the patient's health that includes all the information about the ongoing treatment, diseases, symptoms, prescription and several others. Added to it, it is also possible for the health care organization...
Articles about medical diagnostic decision support (MDDS) systems often begin with a disclaimer such as, "despite many years of research and millions of dollars of expenditures on medical diagnostic systems, none is in widespread use at the present time." While this statement remains true in the sense that no single diagnostic system is in widespread use, it is misleading with regard to the state of the art of these systems. Diagnostic systems, many simple and some complex, are now ubiquitous, and research on MDDS systems is growing. The nature of MDDS systems has diversified overtime. The prospects for adoption of large-scale diagnostic systems are better now than ever before, due to enthusiasm for implementation of the electronic medical record in academic, commercial, and primary care settings.
As the world is booming with technology, why we should leave the healthcare sector behind. As technologies like Artificial Intelligence and Augmented Reality is revolutionizing various industry sectors, it definitely plays a significant role in healthcare future. As healthcare is one of the world's fastest as well as largest growing industry and adding technology will make a bigger and better difference. However, reports suggest that the healthcare IT market is currently a USD 187.6 billion market. With a 15.8% forecast CAGR growth, the Healthcare IT market is expected to reach 390.7 USD billion market shares by 2024.