Development and validation of a model predicting mild stroke severity on admission using electronic health record data.
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| Title: | Development and validation of a model predicting mild stroke severity on admission using electronic health record data. |
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| Authors: | Waddell KJ; VA Center for Health Equity Research and Promotion (CHERP), Crescenz VA Medical Center; Philadelphia, PA, USA; Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA, USA; Leonard Davis Institute for Health Economics, University of Pennsylvania; Philadelphia, PA, USA. Electronic address: Kimberly.Waddell@pennmedicine.upenn.edu., Myers LJ; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA., Perkins AJ; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA., Sico JJ; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Sexson A; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA., Burrone L; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Taylor S; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA., Koo B; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Daggy JK; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA., Bravata DM; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Neurology, Indiana University School of Medicine; Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA. |
| Source: | Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2023 Sep; Vol. 32 (9), pp. 107255. Date of Electronic Publication: 2023 Jul 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Saunders Country of Publication: United States NLM ID: 9111633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8511 (Electronic) Linking ISSN: 10523057 NLM ISO Abbreviation: J Stroke Cerebrovasc Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37473533 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and validation of a model predicting mild stroke severity on admission using electronic health record data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Waddell+KJ%22">Waddell KJ</searchLink>; VA Center for Health Equity Research and Promotion (CHERP), Crescenz VA Medical Center; Philadelphia, PA, USA; Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA, USA; Leonard Davis Institute for Health Economics, University of Pennsylvania; Philadelphia, PA, USA. Electronic address: Kimberly.Waddell@pennmedicine.upenn.edu.<br /><searchLink fieldCode="AU" term="%22Myers+LJ%22">Myers LJ</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Perkins+AJ%22">Perkins AJ</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Sico+JJ%22">Sico JJ</searchLink>; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Sexson+A%22">Sexson A</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Burrone+L%22">Burrone L</searchLink>; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Taylor+S%22">Taylor S</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Koo+B%22">Koo B</searchLink>; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Daggy+JK%22">Daggy JK</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Bravata+DM%22">Bravata DM</searchLink>; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Neurology, Indiana University School of Medicine; Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229111633%22">Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association</searchLink> [J Stroke Cerebrovasc Dis] 2023 Sep; Vol. 32 (9), pp. 107255. <i>Date of Electronic Publication: </i>2023 Jul 18. – 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="%22Saunders%22">Saunders </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9111633 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-8511 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210523057%22">10523057 </searchLink><i>NLM ISO Abbreviation: </i>J Stroke Cerebrovasc Dis <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37473533 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jstrokecerebrovasdis.2023.107255 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 107255 Titles: – TitleFull: Development and validation of a model predicting mild stroke severity on admission using electronic health record data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Waddell KJ – PersonEntity: Name: NameFull: Myers LJ – PersonEntity: Name: NameFull: Perkins AJ – PersonEntity: Name: NameFull: Sico JJ – PersonEntity: Name: NameFull: Sexson A – PersonEntity: Name: NameFull: Burrone L – PersonEntity: Name: NameFull: Taylor S – PersonEntity: Name: NameFull: Koo B – PersonEntity: Name: NameFull: Daggy JK – PersonEntity: Name: NameFull: Bravata DM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2023 Sep Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1532-8511 Numbering: – Type: volume Value: 32 – Type: issue Value: 9 Titles: – TitleFull: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Type: main |
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