Improving billing code accuracy with machine learning: non-technical

There are few decision yet which specifically address the question to what extent machine-learning aspects make a technical contribution. This decision explores whether using machine learning for improving the accuracy of medical billing codes makes a technical contribution. Here are the practical takeaways from the decision T 0755/18 (Semi-automatic answering/3M INNOVATIVE PROPERTIES) of 11.12.2020 of Technical Board of Appeal 3.5.07: Such billing codes may relate to a hospital stay of a patient based on a collection of the documents containing information about the medical procedures that were performed on the patient during the stay and other billable activities performed by hospital staff. This set of documents may be viewed as a corpus of evidence for the billing codes that need to be generated and provided to an insurer for reimbursement.