A prototype system to support evidence-based practice.
Translating evidence into clinical practice is a complex process that depends on the availability of evidence, the environment into which the research evidence is translated, and the system that facilitates the translation. This paper presents InfoBot, a system designed for automatic delivery of patient-specific information from evidence-based resources. A prototype system has been implemented to support development of individualized patient care plans. The prototype explores possibilities to automatically extract patients problems from the interdisciplinary team notes and query evidence-based resources using the extracted terms. Using 4,335 de-identified interdisciplinary team notes for 525 patients, the system automatically extracted biomedical terminology from 4,219 notes and linked resources to 260 patient records. Sixty of those records (15 each for Pediatrics, Oncology & Hematology, Medical & Surgical, and Behavioral Health units) have been selected for an ongoing evaluation of the quality of automatically proactively delivered evidence and its usefulness in development of care plans.
Demner-Fushman
Dina
D
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD. USA.
Seckman
Charlotte
C
Fisher
Cheryl
C
Hauser
Susan E
SE
Clayton
Jennifer
J
Thoma
George R
GR
D004014:Dictionaries as Topic; D019317:Evidence-Based Medicine / Q000379:methods*; D033181:Information Dissemination / Q000379:methods*; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009317:National Library of Medicine (U.S.); D010865:Pilot Projects; D012660:Semantics; D014175:Translating; D014481:United States; D018875:Vocabulary, Controlled; D014956:Writing