Name
Title | ||
|---|---|---|
Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. |
Abstract | ||
|---|---|---|
The published medical literature and online medical resources are important sources to help physicians make patient treatment decisions. Traditional sources used for information retrieval (e.g., PubMed) often return a list of documents in response to a user's query. Frequently the number of returned documents from large knowledge repositories is large and makes information seeking practical only "after hours" and not in the clinical setting. This study developed novel algorithms, and designed, implemented, and evaluated a medical definitional question answering system (MedQA). MedQA automatically analyzed a large number of electronic documents to generate short and coherent answers in response to definitional questions (i.e., questions with the format of "What is X?"). Our preliminary cognitive evaluation shows that MedQA out-performed three other online information systems (Google, OneLook, and PubMed) in two important efficiency criteria; namely, time spent and number of actions taken for a physician to identify a definition. It is our contention that question answering systems that aggregate pertinent information scattered across different documents have the potential to address clinical information needs within a timeframe necessary to meet the demands of clinicians. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.jbi.2007.03.002 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
question analysis,medical definitional question answering,aggregate pertinent information,online information system,cognitive evaluation,online medical resource,information retrieval,clinical setting,large number,definitional question answering system,medical literature,large knowledge repository,clinical information need,question answering,machine-learning,evaluation,text summarization,question answering system,information need,information system,machine learning | Information system,Data mining,Automatic summarization,Information needs,Question answering,Information retrieval,Information seeking,Computer science,Cognitive evaluation theory,Medical literature,Patient treatment | Journal |
Volume | Issue | ISSN |
40 | 3 | 1532-0480 |
Citations | PageRank | References |
44 | 1.84 | 37 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Yu | 1 | 1982 | 179.13 |
| Minsuk Lee | 2 | 477 | 32.71 |
| David Kaufman | 3 | 44 | 1.84 |
| John W. Ely | 4 | 158 | 7.12 |
| Jerome A. Osheroff | 5 | 188 | 13.22 |
| George Hripcsak | 6 | 1493 | 160.86 |
| James Cimino | 7 | 129 | 9.97 |