Inpatient portal clusters: identifying user groups based on portal features | Zendy

Naleef Fareed | Zendy; Daniel M. Walker | Zendy; Cynthia J. Sieck | Zendy; Robert M. Taylor | Zendy; Seth Scarborough | Zendy; Timothy R. Huerta | Zendy; Ann Scheck McAlearney | Zendy

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Inpatient portal clusters: identifying user groups based on portal features

Author(s) -

Naleef Fareed,

Daniel M. Walker,

Cynthia J. Sieck,

Robert M. Taylor,

Seth Scarborough,

Timothy R. Huerta,

Ann Scheck McAlearney

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy147

Subject(s) - audit , patient portal , cluster analysis , cluster (spacecraft) , computer science , taxonomy (biology) , hierarchical clustering , health care , sample (material) , psychology , medicine , data science , artificial intelligence , botany , management , economics , biology , programming language , economic growth , chemistry , chromatography

Conduct a cluster analysis of inpatient portal (IPP) users from an academic medical center to improve understanding of who uses these portals and how.

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