Natural language storage and retrieval of medical diagnostic information. Experience at the UCLA hospital and clinics over a 10-year period.
A natural language storage and retrieval system initially designed for pathology reports has been in operation for ten years at UCLA Hospital and Clinics. The original system has been improved to provide a thesaurus processor with added capabilities for expanding search request terms and a newly developed set of search programs with user options that make complex and more accurate retrievals possible. Summarized diagnostic statements or impressions from five specialities (Surgical Pathology, Bone Marrow, Autopsy, Nuclear Medicine, and Neuroradiology), are automatically encoded by referencing a master computer dictionary containing a unique numeric code for each English word. Input and retrievals are batch, off-line operations in free text, and are currently processed on the IBM 370/145. User acceptance is high, quality of retrievals improved, and cost is nominal. This paper describes an expanded natural language system which in now providing a viable form of information storage and retrieval for research, medical education, patient care, quality control, statistics and administrative purposes.
D002140:California; D003201:Computers; D003936:Diagnosis, Computer-Assisted; D004014:Dictionaries as Topic; D006801:Humans; D007802:Language