The Cochrane has come up the new project called Transform. In this project, they are trying to implement Machine learning and AI that helps in analyzing thousands of reports automatically and choose the one that has systematic reviews. This latest approach is helping them in saving weeks of time in doing repetitive work and it also helps healthcare reviewers by saving their energy and time in doing the high-level analysis.
Professor James Thomas at University College London (UCL) has started using Cortana intelligence for developing and deploying AI solutions quickly in the cloud. He also explained, “What makes this particularly efficient is the fact that I can build a classifier using the studio and then just deploy it as a web service with the click of a button, without deploying a server.”
Azure machine learning also provides more flexibility to the teams when they go with this approach. Microsoft is always updating its research in machine learning and AI that helps human beings in their daily life. Thomas said “Initially I developed these models in R, which didn’t work as well as Python. So I was able to keep the top and the bottom of the process and just swap out the machine learning section in the middle.”
Through Cochrane crowd platform, a team is continuously working to improve the performance of the machine learning system and they are also engaging more than 5,000 citizen scientists in 117 countries. Anna Noel-Storr of Cochrane Dementia Group said, “Cochrane Crowd has really enabled anybody who wants to get involved with producing health evidence to do so.” Most of the participants have given a positive feedback telling that Cochrane Crowd performance is increased by more than 60 percent.
Through Cloud API these services are deployed that help clinical assessment groups review latest reports of various healthcare issues. The Microsoft cloud provides flexibility to researchers where they can create customized systems for every clinical assessment group. Researchers worldwide can use this through EPPI-Reviewer cloud service which is now running on Microsoft Azure cloud.This AI allows reviewers focus on understanding the data instead of going through the huge data set and analyzing the data manually.
Currently, this system is implemented by the National Institute for Health and Care Excellence in the U.K. that provides health care delivery guidance all over U.K. National Health Service (NHS) for more than 65 million people.