An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard | Zendy

Dipanjan Banerjee | Zendy; Christine Thompson | Zendy; Charlene Kell | Zendy; Rajesh Shetty | Zendy; Yohan Vetteth | Zendy; Helene L. Grossman | Zendy; Aria DiBiase | Zendy; Michael J. Fowler | Zendy

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An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard

Author(s) -

Dipanjan Banerjee,

Christine Thompson,

Charlene Kell,

Rajesh Shetty,

Yohan Vetteth,

Helene L. Grossman,

Aria DiBiase,

Michael J. Fowler

Publication year - 2016

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/ocw150

Subject(s) - heart failure , dashboard , informatics , medicine , computer science , medical emergency , data science , engineering , electrical engineering

Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort.

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