Literature DB >> 18998835

A prototype system to support evidence-based practice.

Dina Demner-Fushman1, Charlotte Seckman, Cheryl Fisher, Susan E Hauser, Jennifer Clayton, George R Thoma.   

Abstract

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.

Entities:  

Mesh:

Year:  2008        PMID: 18998835      PMCID: PMC2656073     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  13 in total

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Journal:  Proc AMIA Symp       Date:  2001

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Journal:  J Pediatr Health Care       Date:  2007 Jan-Feb       Impact factor: 1.812

6.  Internet resources for evidence-based practice in nursing.

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Journal:  Plast Surg Nurs       Date:  2007 Jan-Mar

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Journal:  Stud Health Technol Inform       Date:  2007

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9.  The Unified Medical Language System.

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Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

10.  Evaluating the successful implementation of evidence into practice using the PARiHS framework: theoretical and practical challenges.

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  10 in total

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6.  A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

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Review 7.  What can natural language processing do for clinical decision support?

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8.  Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

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Review 9.  Semantic annotation in biomedicine: the current landscape.

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Journal:  J Biomed Semantics       Date:  2017-09-22

Review 10.  Adoption of Innovation in Herpes Simplex Virus Keratitis.

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