John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award. John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Given that the healthcare sector is experimenting and exploring more high-end technologies such as artificial intelligence, machine learning, and data …

Willingness to engage in necessary data wrangling. Will use technologies from Machine Learning.

What do healthcare and finance have in common? Probably not too much, except for the fact that they are being disrupted by technology. The process is highly encouraged: a record sum of $3.5 billion was invested in 188 digital health companies in the first half of 2017. Yet, the key to the meaningful industry transformation lies in the use of data science for healthcare. With about 1.2 billion clinical documents being produced in the United States annually, life scientists and doctors have a sea of data to base their research upon. Additionally, huge volumes of health-related information are made accessible through widespread adoption of wearable tech. This opens up new opportunities for better, more informed healthcare. Being able to collect, structure and process a high volume of data and further make sense of it, to gain a deeper understanding of the human body is the key objective for thousands of data scientists and machine learning experts all over the world. It also has the strongest potential to revolutionize healthcare, based on our industry expertise.

In 2015, Congress made a big change in the way healthcare providers are reimbursed. Instead of the previous fee-for-service model that paid providers for each service performed, reimbursement would now be provided based on the quality of care provided -- a concept known as value-based care. AI in healthcare goes beyond IBM Watson. In this e-guide, discover 4 uses for AI in healthcare – particularly how it can help improve patient engagement – and whether we can overcome security and interoperability concerns surrounding the technology. You forgot to provide an Email Address.