Healthcare is transforming into digital health technologies. Mobile phones have enabled health care providers to engage with patients 24/7, and patients can capture and share data that can help track and personalize their health care. In this new field, genomics, robotics, artificial intelligence, and innovations like deep learning are all making inroads. We see the next generation of progress in engineerings, such as the Internet of Things (IoT), Machine Learning, and Artificial Intelligence (AI), shifting from industrial and business use to medical applications. Digital wellness companies are addressing issues generated by the growing prevalence of digital health and medical devices connected.
We are seeing the release of a wave of new applications aimed at improving patient health in ways that are clinically proven. Such electronic approaches leverage medical, psychological, and situational data such as rates of insulin, sleep, weight, diet, exercise, daytime, and environment to optimize treatment plans for clinicians. Such programs have such convincing medical value that insurance companies are beginning to pay for them at a reduced cost due to improved patient outcomes. In providing care, physicians are often hurried and spend most of their time inserting patient data into electronic medical records then they do clients.
Digital technologies allow time-consuming healthcare professionals to see more clients in less time while providing better patient experience, use data analytics to facilitate decision making, more productive workflow, and various forms of digital interaction. We are witnessing a dramatic increase in the number of digitized health data stored in EMRs, smartphone health data captured, and genomic data. Startups are trying to assist third parties to aggregate and integrate these data sets into other applications, and we are beginning to see the potential of health care data analytics.