Operating Room Delays: Meaningful Use in Electronic Health Record.

Published

Journal Article

Perioperative areas are the most costly to operate and account for more than 40% of expenses. The high costs prompted one organization to analyze surgical delays through a retrospective review of their new electronic health record. Electronic health records have made it easier to access and aggregate clinical data; 2123 operating room cases were analyzed. Implementing a new electronic health record system is complex; inaccurate data and poor implementation can introduce new problems. Validating the electronic health record development processes determines the ease of use and the user interface, specifically related to user compliance with the intent of the electronic health record development. The revalidation process after implementation determines if the intent of the design was fulfilled and data can be meaningfully used. In this organization, the data fields completed through automation provided quantifiable, meaningful data. However, data fields completed by staff that required subjective decision making resulted in incomplete data nearly 24% of the time. The ease of use was further complicated by 490 permutations (combinations of delay types and reasons) that were built into the electronic health record. Operating room delay themes emerged notwithstanding the significant complexity of the electronic health record build; however, improved accuracy could improve meaningful data collection and a more accurate root cause analysis of operating room delays. Accurate and meaningful use of data affords a more reliable approach in quality, safety, and cost-effective initiatives.

Full Text

Duke Authors

Cited Authors

  • Van Winkle, RA; Champagne, MT; Gilman-Mays, M; Aucoin, J

Published Date

  • June 2016

Published In

Volume / Issue

  • 34 / 6

Start / End Page

  • 247 - 253

PubMed ID

  • 27046388

Pubmed Central ID

  • 27046388

Electronic International Standard Serial Number (EISSN)

  • 1538-9774

International Standard Serial Number (ISSN)

  • 1538-2931

Digital Object Identifier (DOI)

  • 10.1097/cin.0000000000000233

Language

  • eng