Machine learning for medication error detection: a scoping review protocol.
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| Title: | Machine learning for medication error detection: a scoping review protocol. |
|---|---|
| Authors: | Hêche F; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland felicien.heche@unige.ch., Yazdani A; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland., Ferdowsi S; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland., Kabak R; Johnson & Johnson, Cambridge, Massachusetts, USA., Mu G; Johnson & Johnson, Zug, Switzerland., Teodoro D; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland. |
| Source: | BMJ open [BMJ Open] 2026 Mar 23; Vol. 16 (3), pp. e109192. Date of Electronic Publication: 2026 Mar 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41877326 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning for medication error detection: a scoping review protocol. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hêche+F%22">Hêche F</searchLink>; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland felicien.heche@unige.ch.<br /><searchLink fieldCode="AU" term="%22Yazdani+A%22">Yazdani A</searchLink>; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Ferdowsi+S%22">Ferdowsi S</searchLink>; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kabak+R%22">Kabak R</searchLink>; Johnson & Johnson, Cambridge, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Mu+G%22">Mu G</searchLink>; Johnson & Johnson, Zug, Switzerland.<br /><searchLink fieldCode="AU" term="%22Teodoro+D%22">Teodoro D</searchLink>; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101552874%22">BMJ open</searchLink> [BMJ Open] 2026 Mar 23; Vol. 16 (3), pp. e109192. <i>Date of Electronic Publication: </i>2026 Mar 23. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BMJ+Publishing+Group+Ltd%22">BMJ Publishing Group Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101552874 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2044-6055 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220446055%22">20446055 </searchLink><i>NLM ISO Abbreviation: </i>BMJ Open <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41877326 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1136/bmjopen-2025-109192 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e109192 Titles: – TitleFull: Machine learning for medication error detection: a scoping review protocol. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hêche F – PersonEntity: Name: NameFull: Yazdani A – PersonEntity: Name: NameFull: Ferdowsi S – PersonEntity: Name: NameFull: Kabak R – PersonEntity: Name: NameFull: Mu G – PersonEntity: Name: NameFull: Teodoro D IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 03 Text: 2026 Mar 23 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2044-6055 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: BMJ open Type: main |
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