Natural Language Processing in the Electronic Medical RecordAssessing Clinician Adherence to Tobacco Treatment Guidelines

The Role of Health Care Systems in Increased Tobacco Cessation

“…These include common billing codes for the 5As in electronic medical records used in the Bentz et al study (4) and the development of software able to code free-text clinical notes into measures of the 5As (45). Both of these tools can be used to calculate tobacco cessation measures needed for pay-forperformance incentives.…”

CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data

“…For example, patient-reported symptoms or history, clinical interpretations, patient counseling, and other data specific to a study that would only be found in text notes can be included to answer study questions [33,34]. Other relevant data are provided in coded fields (e.g., medication or procedure orders); they can be identified with the same data processor rules based on UMLS concepts.…”

Potential Impact of Advanced Clinical Information Technology on Cancer Care in 2015

“…Using this coded information, in conjunction with advanced artificially intelligent systems capable of interpreting and summarizing, will enable physicians to enjoy an unparalleled level of clinical decision support in various cancer prevention, assessment, and diagnosis-related activities. For example researchers have made use of various NLP techniques to develop systems that can detect and classify smoking cessation counseling activity from the clinician's notes contained in the patient's electronic medical record (EMR) [61,62] and to assess minority women's risk of developing breast cancer from pathology reports [63]. In addition in areas outside of cancer prevention and control, Bates et al reviewed 25 studies that reported on the use of natural language processing tools to detect certain types of adverse events from free-text clinical databases [64].…”