The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial | Zendy

Sarah Collins Rossetti | Zendy; Patricia C. Dykes | Zendy; Christopher Knaplund | Zendy; MinJeoung Kang | Zendy; Kumiko O. Schnock | Zendy; José P. Garcia | Zendy; Li-Heng Fu | Zendy; Frank Chang | Zendy; Tien Thai | Zendy; Matthew Fred | Zendy; Tom Z Korach | Zendy; Li Zhou | Zendy; Jeffrey G. Klann | Zendy; David J. Albers | Zendy; Jessica Schwartz | Zendy; Graham Lowenthal | Zendy; Haomiao Jia | Zendy; Fang Liu | Zendy; Kenrick Cato | Zendy

Open Access

The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial

Author(s) -

Sarah Collins Rossetti,

Patricia C. Dykes,

Christopher Knaplund,

MinJeoung Kang,

Kumiko O. Schnock,

José P. Garcia,

Li-Heng Fu,

Frank Chang,

Tien Thai,

Matthew Fred,

Tom Z Korach,

Li Zhou,

Jeffrey G. Klann,

David J. Albers,

Jessica Schwartz,

Graham Lowenthal,

Haomiao Jia,

Fang Liu,

Kenrick Cato

Publication year - 2021

Publication title -

jmir research protocols

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.378

H-Index - 9

ISSN - 1929-0748

DOI - 10.2196/30238

Subject(s) - early warning score , randomized controlled trial , medicine , usability , psychological intervention , cluster randomised controlled trial , medical emergency , documentation , warning system , protocol (science) , clinical decision support system , clinical trial , health care , cluster (spacecraft) , decision support system , nursing , data mining , computer science , alternative medicine , surgery , telecommunications , pathology , human–computer interaction , economics , programming language , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research