The role of expert searching in the Family Physicians' Inquiries Network (FPIN).
- 1 January 2005
- journal article
- Vol. 93 (1) , 88-96
Abstract
This article describes the contributions of medical librarians, as members of the Family Physicians' Inquiries Network (FPIN), to the creation of a database of clinical questions and answers that allows family physicians to practice evidence-based medicine using high-quality information at the point of care. The medical librarians have contributed their evidence-based search expertise and knowledge of information systems that support the processes and output of the consortium. Since its inception, librarians have been included as valued members of the FPIN community. FPIN recognizes the search expertise of librarians, and each FPIN librarian must meet qualifications demonstrating appropriate experience and training in evidence-based medicine. The consortium works collaboratively to produce the Clinical Inquiries series published in family medicine publications. Over 170 Clinical Inquiries have appeared in Journal of Family Practice (JFP) and American Family Physician (AFP). Surveys have shown that this series has become the most widely read part of the JFP Website. As a result, FPIN has formalized specific librarian roles that have helped build the organizational infrastructure. All of the activities of the consortium are highly collaborative, and the librarian community reflects that. The FPIN librarians are valuable and equal contributors to the process of creating, updating, and maintaining high-quality clinical information for practicing primary care physicians. Of particular value is the skill of expert searching that the librarians bring to FPIN's products.This publication has 12 references indexed in Scilit:
- Searching for the Evidence Using PubMedMedical Reference Services Quarterly, 2002
- Obstacles to answering doctors' questions about patient care with evidence: qualitative studyBMJ, 2002
- Answering family physicians' clinical questions using electronic medical databases.2001
- Why can't we answer our questions?2001
- A taxonomy of generic clinical questions: classification studyBMJ, 2000
- Publications on diagnostic test evaluation in family medicine journals: an optimal search strategyJournal of Clinical Epidemiology, 2000
- Lifelong self-directed learning using a computer database of clinical questions.1997
- Answering clinical questions.1996
- Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINEJournal of the American Medical Informatics Association, 1994
- The information needs of family physicians: case-specific clinical questions.1992