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NLM Extramural Programs Informatics Lecture Series
Delayed, ineffective, and incomplete access to information may lead to uninformed decision making and loss of coordination in patient care that, in turn, may lead to medical errors. Despite the increase access to information resources, gaps in knowledge still exist and can have significant detrimental effects in patient care. In the Context-initiated Question and Response (“CIQR”) project we explored technologies to help clinicians articulate information needs that arise during clinical practice, and address them in a timely manner that fits with clinical workflow.
We apply natural language processing technology to identify context, goals and preferences in clinicians’ questions. In addition, we explore the performance of human experts as a unique prototyping methodology for developing an information system. Using cognitive methods, the approach leverages human abilities and progressively gives way to automation as the sophistication of the system evolve. This approach also plays an important role in the analysis of the information and clinical workflow.
The major innovation was the generation of complex search strategies that exploit this contextual information, based on studies of human searching experts (reference librarians). Challenges, successes, and failures will be discussed.
Runtime:
01:07:21
NLM Title:
Bringing scientific evidence into clinical practice : challenges, successes, and failures [electronic resource] / Eneida Mendonca.
Series:
NLM extramural programs informatics lecture series
Author:
Mendonca, Eneida. National Institutes of Health (U.S.)
Publisher:
[Bethesda, Md. : National Institutes of Health, 2011]
Other Title(s):
NLM extramural programs informatics lecture series
Abstract:
(CIT): NLM Extramural Programs Informatics Lecture Series Delayed, ineffective, and incomplete access to information may lead to uninformed decision making and loss of coordination in patient care that, in turn, may lead to medical errors. Despite the increase access to information resources, gaps in knowledge still exist and can have significant detrimental effects in patient care. In the Context-initiated Question and Response ("CIQR") project we explored technologies to help clinicians articulate information needs that arise during clinical practice, and address them in a timely manner that fits with clinical workflow. We apply natural language processing technology to identify context, goals and preferences in clinicians" questions. In addition, we explore the performance of human experts as a unique prototyping methodology for developing an information system. Using cognitive methods, the approach leverages human abilities and progressively gives way to automation as the sophistication of the system evolve. This approach also plays an important role in the analysis of the information and clinical workflow. The major innovation was the generation of complex search strategies that exploit this contextual information, based on studies of human searching experts (reference librarians). Challenges, successes, and failures will be discussed.
Subjects:
Decision Support Systems, Clinical Evidence-Based Medicine
