Medicine and healthcare is a revolutionary and promising industry for implementing the data science solutions. Data analytics is moving the medical science to a whole new level, from automating medical records to drug discovery and genetic disease investigation.
Data processing is a challenging task in health care industry. We help TPA’s process in such a way that data types and formats are developed in a unified format that could be retrieved by a single application and makes it easy for claims processing.
AI, computer vision and machine learning systems proved that machines are better and faster than humans analyzing big data.
In the data management area, machine learning allows the creation of comprehensive registers of medical data, where all the paperwork will be transferred to a much more promising digital form. The whole medical history of a person will be stored in one system. Techniques like the support vector machines and optical character recognition are great helpers in such digitalization.
A central Florida based healthcare and legal solution industry was doing the data normalization manually and it involved lots of human efforts / time to complete the task for 15+ insurance companies. During the time of manual entries customer was facing lots errors which impacted their business as well and couldn’t deliver the report on time. Customer was looking for a better solution to scrutinize this issue.
Our experts were engaged in the call with customers and recommended to go with the automation service where report generation can be done in a click. . Customer data was huge with multiple tabs, different file formats like .csv, .txt and data format. We approached with techniques of applying python programming to accept the input file of all different formats. With the help of framework tools the data was processed into a normalized format and created a pipeline in cloud to access the processed data and write the data into the application database at the same time. Post completion of these methods we have demonstrated the customers to generate the report in customers WebUI application.
Time saving. Earlier customer has to spend 2 months to complete the work. Now it has reduced to 10mins after automating the report.
Cost Effective – Customer deployed 5 resources to complete the report earlier, now it has reduced with minimal count.