Reporting Summarization and Optimization
In the medical field, there is an increasing need to not only reduce cost but also increase the efficiency of their systems and communication of patient needs. One area of improvement was in radiology reports and specifically how they were being recorded. The challenge was to transform the system where radiologists were forced to write their own evaluations of patient data and then transcribe them into formalized summaries without sacrificing important subjective notes.
Using data from a bounty of previous reporting, machine learning technology was able to understand the varying degrees of data and prioritize the information needed for patient summaries. By utilizing speech recognition software, radiologists would vocalize their findings and automatically have their details relayed into the processing of said medical reports. This resulted in a greater cohesion and standard for radiological reporting and much greater efficiency in the processing of patients.