Related Experiment Video
Updated: Jul 14, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Computational analysis of non-adherence and non-attendance using the text of narrative physician notes in the
Alexander Turchin1, Nikheel S Kolatkar, Merri L Pendergrass
1Division of Endocrinology, Brigham and Women's Hospital, Boston, MA 02115, USA. aturchin@partners.org
Abstract:
Non-adherence to physician recommendations is common and is thought to lead to poor clinical outcomes. However, no techniques exist for a large-scale assessment of this phenomenon. We evaluated a computational approach that quantifies patient non-adherence from an analysis of the text of physician notes. Index of non-adherence (INA) was computed based on the number of non-adherence word tags detected in physician notes. INA was evaluated by comparing the results to a manual patient record review at the individual sentence and patient level. The relationship between INA and frequency of Emergency Department visits was determined. The positive predictive value of identification of individual non-adherence word tags was 93.3%. The Pearson correlation coefficient between the INA and the number of documented instances of non-adherence identified by manual review was 0.62. The frequency of ED visits was more than twice as high for patients with INA in the highest quartile (least adherent) than for patients with INA in the lowest (most adherent) quartile (p < 0.0001). We have described the design and evaluation of a novel approach that allows quantification of patient non-adherence with physician recommendations through an analysis of physician notes. This approach has been validated at several levels and demonstrated to correlate with clinical outcomes.
Related Concept Videos
Methods of Documentation VII: EMR
Methods of Documentation II: POMR
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Legal Guidelines for Documentation
Guidelines for Nursing Documentation II
Timely documentation is crucial to ensure continuity of care for patients. Any delays in recording or reporting medical information can result in medical errors and even adverse patient outcomes. From medication administration to diagnostic test results, every detail must be accurately and promptly documented to provide the best possible care for patients.
Data Reporting and Recording
