Machine Learning and Healthcare
In the summer of 2017, I was privileged enough to intern in Boston with Optum under their Technology Development Program! It was an exciting time, my first internship ever. During my internship here, I also made unforgettable friendships. My team was honestly the one thing that made the experience. The work was just as important as well. We were tasked with a machine learning project. Our team had one goal, whether or not if machine learning can automate the processing of claims that fail out of auto-adjudication. So imagine going to the doctors to get some sort of service. The facility files a claim to get payment for their services. Health insurance companies usually have software that automatically process these claims. However sometimes a claim cannot be automatically processed because of missing information, incorrect information, etc. These claims are sent to humans to be processed. My project was to see if we can automate this manual processing part. Initially I was overwhelmed by the technologies involved. I had no experience in R, Machine Learning, Hive Query Language, or what Hadoop even was. The learning curve was immense and I saw that I had a lot of catching up to do. By the end of the summer, I was proud with how far I came and how far the team came.