  If Electronic Health Records contain a large amount of information about the
patients condition and response to treatment, which can potentially
revolutionize the clinical practice, such information is seldom considered due
to the complexity of its extraction and analysis. We here report on a first
integration of an NLP framework for the analysis of clinical records of lung
cancer patients making use of a telephone assistance service of a major Spanish
hospital. We specifically show how some relevant data, about patient
demographics and health condition, can be extracted; and how some relevant
analyses can be performed, aimed at improving the usefulness of the service. We
thus demonstrate that the use of EHR texts, and their integration inside a data
analysis framework, is technically feasible and worth of further study.
