Literature DB >> 22244818

Record completeness and data concordance in an anesthesia information management system using context-sensitive mandatory data-entry fields.

Alexander Avidan1, Charles Weissman.   

Abstract

BACKGROUND: Use of an anesthesia information management system (AIMS) does not insure record completeness and data accuracy. Mandatory data-entry fields can be used to assure data completeness. However, they are not suited for data that is mandatory depending on the clinical situation (context sensitive). For example, information on equal breath sounds should be mandatory with tracheal intubation, but not with mask ventilation. It was hypothesized that employing context-sensitive mandatory data-entry fields can insure high data-completeness and accuracy while maintaining usability.
METHODS: A commercial off-the-shelf AIMS was enhanced using its built-in VBScript programming tool to build event-driven forms with context-sensitive mandatory data-entry fields. One year after introduction of the system, all anesthesia records were reviewed for data completeness. Data concordance, used as a proxy for accuracy, was evaluated using verifiable age-related data. Additionally, an anonymous satisfaction survey on general acceptance and usability of the AIMS was performed.
RESULTS: During the initial 12 months of AIMS use, 12,241 (99.6%) of 12,290 anesthesia records had complete data. Concordances of entered data (weight, size of tracheal tubes, laryngoscopy blades and intravenous catheters) with patients' ages were 98.7-99.9%. The AIMS implementation was deemed successful by 98% of the anesthesiologists. Users rated the AIMS usability in general as very good and the data-entry forms in particular as comfortable. LIMITATIONS: Due to the complexity and the high costs of implementation of an anesthesia information management system it was not possible to compare various system designs (for example with or without context-sensitive mandatory data entry-fields). Therefore, it is possible that a different or simpler design would have yielded the same or even better results. This refers also to the evaluation of usability, since users did not have the opportunity to work with different design approaches or even different computer programs.
CONCLUSIONS: Using context-sensitive mandatory fields in an anesthesia information management system was associated with high record completeness rate and data concordance. In addition, the system's usability was rated as very good by its users. Copyright Â
© 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22244818     DOI: 10.1016/j.ijmedinf.2011.12.009

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  7 in total

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Journal:  Anesth Pain Med       Date:  2017-01-01

2.  Standardised electronic algorithms for monitoring prophylaxis of postoperative nausea and vomiting.

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3.  Completeness of manual data recording in the anaesthesia information management system: A retrospective audit of 1000 neurosurgical cases.

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4.  Assessment of perioperative anesthesia record sheet completeness: A multi-center observational study.

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5.  The influence of the type and design of the anesthesia record on ASA physical status scores in surgical patients: paper records vs. electronic anesthesia records.

Authors:  Anil A Marian; Emine O Bayman; Anita Gillett; Brent Hadder; Michael M Todd
Journal:  BMC Med Inform Decis Mak       Date:  2016-03-02       Impact factor: 2.796

6.  Including household effects in Big Data research: the experience of building a longitudinal residence algorithm using linked administrative data in Wales.

Authors:  Karen Susan Tingay; Matthew Roberts; Charles Ba Musselwhite
Journal:  Int J Popul Data Sci       Date:  2018-11-20

7.  Guideline adherence in the management of head injury in Australian children: A population-based sample survey.

Authors:  Janet C Long; Sarah Dalton; Gaston Arnolda; Hsuen P Ting; Charlotte J Molloy; Peter D Hibbert; Louise K Wiles; Simon Craig; Meagan Warwick; Kate Churruca; Louise A Ellis; Jeffrey Braithwaite
Journal:  PLoS One       Date:  2020-02-11       Impact factor: 3.240

  7 in total

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