Diversity in preoperative-Assessment Data Collection, a Literature Review

Leila Ahmadian, Ronald Cornet, Wilton A. van Klei, Nicolette F. de Keizer

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)

Abstract

The appropriate anesthetic techniques and care during and after operation rely on data gathered during the preoperative assessment. Because various people are involved, standardization of this process is important. This paper provides a systematic literature review about which data items are collected in the preoperative assessment. Thirty-two relevant articles were found by PubMed search. To categorize data SNOMED CT concepts are used, resulting in 13 categories totaling 540 data items. The two largest categories of data were "past history of clinical finding", and "physical examination procedure" with 251 and 75 data items respectively. Our study showed a high diversity of data items in the preoperative assessment. Because of the diversity of patients and treatment options available one undisputed preoperative assessment data set is hard to define. However, to solve the problem of exchangeability of the information at least anesthesiologists should use a same core set of data
Original languageEnglish
Pages (from-to)127-132
JournalStudies in health technology and informatics
Volume136
Publication statusPublished - 2008

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