A System for Multiattribute Drug Product Comparison.
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| Title: | A System for Multiattribute Drug Product Comparison. |
|---|---|
| Authors: | Lambert, Bruce L.1,2,3 lambertb@uic.edu, Yu, Clement4, Thirumalai, Mohanraj4 |
| Source: | Journal of Medical Systems. Feb2004, Vol. 28 Issue 1, p31-56. 26p. |
| Subjects: | Drugs, Medical supplies, Pharmacists, Medication errors, Drug therapy, Bioactive compounds |
| Abstract: | We describe a system for multiattribute drug product searching. We then demonstrate the system's performance on sample queries, and evaluate the name-based similarity searching component. Ten drug names were used to query a database of existing drug names using five different retrieval methods. Retrieved names were merged into master lists and presented to 15 pharmacists. Pharmacists rated the similarity between the query name and each retrieved names on a scale of 1–5. We report the precision of our five different retrieval methods at 11 levels of recall. The best single measure was editex, with a precision of 17.4% averaged across 11 levels of recall. A regression model using four objective measures of similarity as predictors accounted for 40.6% of the variance in observed mean similarity ratings. Automated, multiattribute drug product searching may improve the effectiveness and efficiency of preapproval screening processes and thereby prevent medication errors. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 16935446 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A System for Multiattribute Drug Product Comparison. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lambert%2C+Bruce+L%2E%22">Lambert, Bruce L.</searchLink><relatesTo>1,2,3</relatesTo><i> lambertb@uic.edu</i><br /><searchLink fieldCode="AR" term="%22Yu%2C+Clement%22">Yu, Clement</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Thirumalai%2C+Mohanraj%22">Thirumalai, Mohanraj</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Systems%22">Journal of Medical Systems</searchLink>. Feb2004, Vol. 28 Issue 1, p31-56. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Drugs%22">Drugs</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+supplies%22">Medical supplies</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmacists%22">Pharmacists</searchLink><br /><searchLink fieldCode="DE" term="%22Medication+errors%22">Medication errors</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+therapy%22">Drug therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Bioactive+compounds%22">Bioactive compounds</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We describe a system for multiattribute drug product searching. We then demonstrate the system's performance on sample queries, and evaluate the name-based similarity searching component. Ten drug names were used to query a database of existing drug names using five different retrieval methods. Retrieved names were merged into master lists and presented to 15 pharmacists. Pharmacists rated the similarity between the query name and each retrieved names on a scale of 1–5. We report the precision of our five different retrieval methods at 11 levels of recall. The best single measure was editex, with a precision of 17.4% averaged across 11 levels of recall. A regression model using four objective measures of similarity as predictors accounted for 40.6% of the variance in observed mean similarity ratings. Automated, multiattribute drug product searching may improve the effectiveness and efficiency of preapproval screening processes and thereby prevent medication errors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1023/B:JOMS.0000021519.75230.e5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 31 Subjects: – SubjectFull: Drugs Type: general – SubjectFull: Medical supplies Type: general – SubjectFull: Pharmacists Type: general – SubjectFull: Medication errors Type: general – SubjectFull: Drug therapy Type: general – SubjectFull: Bioactive compounds Type: general Titles: – TitleFull: A System for Multiattribute Drug Product Comparison. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lambert, Bruce L. – PersonEntity: Name: NameFull: Yu, Clement – PersonEntity: Name: NameFull: Thirumalai, Mohanraj IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2004 Type: published Y: 2004 Identifiers: – Type: issn-print Value: 01485598 Numbering: – Type: volume Value: 28 – Type: issue Value: 1 Titles: – TitleFull: Journal of Medical Systems Type: main |
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