9 Technology Trends That Will Change the Healthcare Industry in 2020

/in , /by

The Healthcare industry is slow to adopt new technology but right now the industry is being transformed with the latest tech by many parties all trying to improve healthcare. There is a growing demand for better patient care and employee experience. Here are the 9 largest trends in healthcare technology that will transform the industry in the coming year(s).

1. AI and Machine Learning

The world population grows and ages and there is a massive need for artificial intelligence and machine learning. AI and ML will offer incredible new ways to improve patient care, identify disease, diagnose conditions, develop treatment plans, monitor epidemics, streamline research and clinical trials, and make operations and make operations and administrative work more effective and efficient. By 2020, every 73 days medical data will double. Estimates by McKinsey state that there could be $100 billion in annual savings for medicine and pharma by using big data with ML and AI tools to process information. The latest advancements in computational capabilities will help predict conditions and help doctors diagnose and treat most effectively. Viable Synergy is leading the charge in AI and ML technology for healthcare communications and employee engagement with their platform Innovation Station®, to learn more about Innovation Station click here. AI and machine learning can assist in many clinical and administrative problems as long as the governing bodies can effectively regulate data and algorithms of healthcare.

2. Robotics…

See the original article here: https://www.forbes.com/sites/bernardmarr/2019/11/01/the-9-biggest-technology-trends-that-will-transform-medicine-and-healthcare-in-2020/#47a1405d72cd

 

SEO (Not loading)

9 Technology Trends That Will Change the Healthcare Industry in 2020

The Healthcare industry is slow to adopt new technology but right now the industry is being transformed with the latest tech, one of the biggest being artificial intelligence (AI) and Machine learning (ML).