Semester
Summer
Date of Graduation
2007
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Juggy V Jagannathan
Abstract
Congestive Heart Failure (CHF) is one of the leading causes associated with mortality and morbidity amongst the hospitalized patients and accounts to a major portion of health care costs in USA. Milliman Care Guidelines for CHF is used as a basis to develop a flowchart for representing the guidelines. Using Natural Language Processing techniques, a collection of sample discharge summaries from WVU university hospital are verified against the flowchart to check if they followed the Clinical Guidelines for CHF. The results suggest that it is feasible to evaluate clinical records against the clinical guidelines by representing the guidelines as a set of keywords. The framework developed is extensible can be applied to multiple guidelines.
Recommended Citation
Regulapati, Sushmitha, "Natural language processing framework to assist in the evaluation of adherence to clinical guidelines" (2007). Graduate Theses, Dissertations, and Problem Reports. 4330.
https://researchrepository.wvu.edu/etd/4330