To facilitate healthcare quality improvement initiatives, we previously developed an algorithm to identify diabetes mellitus (DM) patients using only electronically available administrative data. In this study, we have validated our prediction model, screening over 28,000 admissions and determining factors associated with false positive assignment. These factors will be incorporated into a revised algorithm.
Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data. Publishing Authors By Initials
Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data. Information
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LANGUAGE: eng
NlmUniqueID: 101209213
Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data. Keywords Mesh Terms:
KEYWORDS: Prospective Studies
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Chemical & Substance for Abstract: Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data. Information
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Grant and Affiliation Information for Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data.
AFFILIATION: Barnes-Jewish Hospital Pharmacy Dept, St Louis, MO, USA.
Country: United States
AGENCY: United States NHLBI
GRANT: R01 HL70790-01A1
ACRONYM: HL
MEDLINETA: AMIA Annu Symp Proc
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