Literature DB >> 9374962

Lifelong self-directed learning using a computer database of clinical questions.

J W Ely1, J A Osheroff, K J Ferguson, M L Chambliss, D C Vinson, J L Moore.   

Abstract

Physicians often have self-perceived knowledge gaps when they are seeing patients. Traditional continuing medical education is designed to meet the knowledge gaps of groups rather than individual physicians with specific patient problems. Physicians with clinical information needs are advised to critically evaluate high-quality original research in order to practice "evidence-based medicine." But this advice may be unrealistic for busy clinicians. We propose a system for documenting self-perceived information needs using a computer database. Concise answers to these needs are included in the database along with reference citations supporting the answers. The system tracks continuing education efforts, directs patient care decisions, and focuses lifelong learning on relevant topics. We emphasize the importance of being sensitive to personal information needs and the benefits of maintaining a record of these needs.

Entities:  

Mesh:

Year:  1997        PMID: 9374962

Source DB:  PubMed          Journal:  J Fam Pract        ISSN: 0094-3509            Impact factor:   0.493


  12 in total

1.  Information needs of clinical teams: analysis of questions received by the Clinical Informatics Consult Service.

Authors:  R N Jerome; N B Giuse; K W Gish; N A Sathe; M S Dietrich
Journal:  Bull Med Libr Assoc       Date:  2001-04

2.  Answering physicians' clinical questions: obstacles and potential solutions.

Authors:  John W Ely; Jerome A Osheroff; M Lee Chambliss; Mark H Ebell; Marcy E Rosenbaum
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

3.  The role of expert searching in the Family Physicians' Inquiries Network (FPIN).

Authors:  Deborah Ward; Susan E Meadows; Joan E Nashelsky
Journal:  J Med Libr Assoc       Date:  2005-01

4.  Automatically extracting information needs from Ad Hoc clinical questions.

Authors:  Hong Yu; Yong-Gang Cao
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions.

Authors:  Feifan Liu; Gokhan Tur; Dilek Hakkani-Tür; Hong Yu
Journal:  J Am Med Inform Assoc       Date:  2011-06-24       Impact factor: 4.497

6.  Resource Classification for Medical Questions.

Authors:  Kirk Roberts; Laritza Rodriguez; Sonya E Shooshan; Dina Demner-Fushman
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

7.  Automatically extracting information needs from complex clinical questions.

Authors:  Yong-gang Cao; James J Cimino; John Ely; Hong Yu
Journal:  J Biomed Inform       Date:  2010-07-27       Impact factor: 6.317

8.  Interactive use of online health resources: a comparison of consumer and professional questions.

Authors:  Kirk Roberts; Dina Demner-Fushman
Journal:  J Am Med Inform Assoc       Date:  2016-05-04       Impact factor: 4.497

9.  AskHERMES: An online question answering system for complex clinical questions.

Authors:  YongGang Cao; Feifan Liu; Pippa Simpson; Lamont Antieau; Andrew Bennett; James J Cimino; John Ely; Hong Yu
Journal:  J Biomed Inform       Date:  2011-01-21       Impact factor: 6.317

10.  Using the weighted keyword model to improve information retrieval for answering biomedical questions.

Authors:  Hong Yu; Yong-Gang Cao
Journal:  Summit Transl Bioinform       Date:  2009-03-01
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