Viewpoint: The Transformation of Patient-Clinician Relationships with AI-based Medical Advice.
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| Title: | Viewpoint: The Transformation of Patient-Clinician Relationships with AI-based Medical Advice. |
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| Authors: | Nov, Oded1 onov@nyu.edu, Aphinyanaphongs, Yindalon2 Yindalon.Aphinyanaphongs@nyulangone.org, Lui, Yvonne W.3 Yvonne.Lui@nyulangone.org, Mann, Devin4 Devin.Mann@nyulangone.org, Porfiri, Maurizio5 mporfiri@nyu.edu, Riedl, Mark6 riedl@cc.gatech.edu, Rizzo, John-Ross7,8 johnross.rizzo@nyulangone.org, Wiesenfeld, Batia9 bwiesenf@stern.nyu.edu |
| Source: | Communications of the ACM. Mar2021, Vol. 64 Issue 3, p46-48. 3p. 1 Color Photograph. |
| Subjects: | Algorithms, Mobile health, Physician-patient relations, Medical technology, Medical care |
| Abstract: | In this article the authors how BYOA (Bring Your Own Algorithm) is changing the patient-clinician relationship and the nature of expert work in healthcare. It is described how situations in which patients have direct access to algorithmic advice are becoming commonplace as these algorithms and home devices help to manage conditions like Type 1 diabetes. Black box technologies are described as are insights on how patient clinician-information-interpretation relationships can be facilitated into the future. |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 148915066 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Viewpoint: The Transformation of Patient-Clinician Relationships with AI-based Medical Advice. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nov%2C+Oded%22">Nov, Oded</searchLink><relatesTo>1</relatesTo><i> onov@nyu.edu</i><br /><searchLink fieldCode="AR" term="%22Aphinyanaphongs%2C+Yindalon%22">Aphinyanaphongs, Yindalon</searchLink><relatesTo>2</relatesTo><i> Yindalon.Aphinyanaphongs@nyulangone.org</i><br /><searchLink fieldCode="AR" term="%22Lui%2C+Yvonne+W%2E%22">Lui, Yvonne W.</searchLink><relatesTo>3</relatesTo><i> Yvonne.Lui@nyulangone.org</i><br /><searchLink fieldCode="AR" term="%22Mann%2C+Devin%22">Mann, Devin</searchLink><relatesTo>4</relatesTo><i> Devin.Mann@nyulangone.org</i><br /><searchLink fieldCode="AR" term="%22Porfiri%2C+Maurizio%22">Porfiri, Maurizio</searchLink><relatesTo>5</relatesTo><i> mporfiri@nyu.edu</i><br /><searchLink fieldCode="AR" term="%22Riedl%2C+Mark%22">Riedl, Mark</searchLink><relatesTo>6</relatesTo><i> riedl@cc.gatech.edu</i><br /><searchLink fieldCode="AR" term="%22Rizzo%2C+John-Ross%22">Rizzo, John-Ross</searchLink><relatesTo>7,8</relatesTo><i> johnross.rizzo@nyulangone.org</i><br /><searchLink fieldCode="AR" term="%22Wiesenfeld%2C+Batia%22">Wiesenfeld, Batia</searchLink><relatesTo>9</relatesTo><i> bwiesenf@stern.nyu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Mar2021, Vol. 64 Issue 3, p46-48. 3p. 1 Color Photograph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+health%22">Mobile health</searchLink><br /><searchLink fieldCode="DE" term="%22Physician-patient+relations%22">Physician-patient relations</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this article the authors how BYOA (Bring Your Own Algorithm) is changing the patient-clinician relationship and the nature of expert work in healthcare. It is described how situations in which patients have direct access to algorithmic advice are becoming commonplace as these algorithms and home devices help to manage conditions like Type 1 diabetes. Black box technologies are described as are insights on how patient clinician-information-interpretation relationships can be facilitated into the future. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=148915066 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3417518 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 46 Subjects: – SubjectFull: Algorithms Type: general – SubjectFull: Mobile health Type: general – SubjectFull: Physician-patient relations Type: general – SubjectFull: Medical technology Type: general – SubjectFull: Medical care Type: general Titles: – TitleFull: Viewpoint: The Transformation of Patient-Clinician Relationships with AI-based Medical Advice. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nov, Oded – PersonEntity: Name: NameFull: Aphinyanaphongs, Yindalon – PersonEntity: Name: NameFull: Lui, Yvonne W. – PersonEntity: Name: NameFull: Mann, Devin – PersonEntity: Name: NameFull: Porfiri, Maurizio – PersonEntity: Name: NameFull: Riedl, Mark – PersonEntity: Name: NameFull: Rizzo, John-Ross – PersonEntity: Name: NameFull: Wiesenfeld, Batia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00010782 Numbering: – Type: volume Value: 64 – Type: issue Value: 3 Titles: – TitleFull: Communications of the ACM Type: main |
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