Feasibility of using the LOINC semantic structure to integrate community-based survey items into a concept-based enterprise data dictionary to support comparative effectiveness research

C.C. Manuel; Bernadette Boden-Albala; Leigh W. Quarles; Adam Wilcox; Suzanne Bakken

Feasibility of using the LOINC semantic structure to integrate community-based survey items into a concept-based enterprise data dictionary to support comparative effectiveness research

C.C. Manuel, Bernadette Boden-Albala, Leigh W. Quarles, Adam Wilcox, Suzanne Bakken

Research output: Contribution to specialist publication › Article

Original language	English (US)
Pages	113-115
Specialist publication	Nurs. Inform.
State	Published - 2012

Cite this

@misc{75ff8fe4b57b4668bf49c7823af868d6,

title = "Feasibility of using the LOINC semantic structure to integrate community-based survey items into a concept-based enterprise data dictionary to support comparative effectiveness research",

author = "C.C. Manuel and Bernadette Boden-Albala and Quarles, {Leigh W.} and Adam Wilcox and Suzanne Bakken",

year = "2012",

language = "English (US)",

pages = "113--115",

journal = "Nurs. Inform.",

}

TY - GEN

T1 - Feasibility of using the LOINC semantic structure to integrate community-based survey items into a concept-based enterprise data dictionary to support comparative effectiveness research

AU - Manuel, C.C.

AU - Boden-Albala, Bernadette

AU - Quarles, Leigh W.

AU - Wilcox, Adam

AU - Bakken, Suzanne

PY - 2012

Y1 - 2012

M3 - Article

SP - 113

EP - 115

JO - Nurs. Inform.

JF - Nurs. Inform.

ER -