Natural Language Processing for Clinical Quality Measures

Clinical Quality Measures (CQMs) have been developed for to assess the quality of the population health. Quality measures allow healthcare organizations to evaluate the status of the health of their patient population and take the corresponding actions to improve it. One of the challenges of implementing CQMs is the implementation of the frequently changing logic needed to calculate the measures. In this paper, I propose the use of Natural Language Processing (NLP) and logic programming to automate and streamline the generation of the logic needed to perform the CQMs calculations.