Literature DB >> 23731825

The effects of an electronic medical record on the completeness of documentation in the anesthesia record.

Junghwa Jang1, Seung Hum Yu, Chun-Bae Kim, Youngkyu Moon, Sukil Kim.   

Abstract

OBJECTIVES: The purpose of this study is to evaluate the completeness of anesthesia recording before and after the introduction of an electronic anesthesia record.
METHODS: The study was conducted in a Korean teaching hospital where the EMR was implemented in October 2008. One hundred paper anesthesia records from July to September 2008 and 150 electronic anesthesia records during the same period in 2009 were randomly sampled. Thirty-four essential items were selected out of all the anesthesia items and grouped into automatically transferred items and manual entry items. 1, .5 and 0 points were given for each item of complete entry, incomplete entry and no entry respectively. The completeness of documentation was defined as the sum of the scores. The influencing factors on the completeness of documentation were evaluated in total and by the groups.
RESULTS: The average completeness score of the electronic anesthesia records was 3.15% higher than that of the paper records. A multiple regression model showed the type of the anesthesia record was a significant factor on the completeness of anesthesia records in all items (β=.98, p<.05) and automatically transferred items (β=.56, p<.01). The type of the anesthesia records had no influence on the completeness in manual entry items.
CONCLUSIONS: The completeness of an anesthesia record was improved after the implementation of the electronic anesthesia record. The reuse of the data from the EMR was the main contributor to the improved completeness.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Completeness of documentation; Electronic anesthesia record; Electronic medical record

Mesh:

Year:  2013        PMID: 23731825     DOI: 10.1016/j.ijmedinf.2013.04.004

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


  9 in total

1.  A substitution method to improve completeness of events documentation in anesthesia records.

Authors:  Antoine Lamer; Julien De Jonckheere; Romaric Marcilly; Benoît Tavernier; Benoît Vallet; Mathieu Jeanne; Régis Logier
Journal:  J Clin Monit Comput       Date:  2015-01-30       Impact factor: 2.502

2.  Organizational performance and regulatory compliance as measured by clinical pertinence indicators before and after implementation of Anesthesia Information Management System (AIMS).

Authors:  Clark K Choi; Darlene Saberito; Changa Tyagaraj; Kalpana Tyagaraj
Journal:  J Med Syst       Date:  2014-01-15       Impact factor: 4.460

3.  Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.

Authors:  Timothy I Kennell; James H Willig; James J Cimino
Journal:  Appl Clin Inform       Date:  2017-12-21       Impact factor: 2.342

4.  The Analyzation of Change in Documentation due to the Introduction of Electronic Patient Records in Hospitals-A Systematic Review.

Authors:  Florian Wurster; Garret Fütterer; Marina Beckmann; Kerstin Dittmer; Julia Jaschke; Juliane Köberlein-Neu; Mi-Ran Okumu; Carsten Rusniok; Holger Pfaff; Ute Karbach
Journal:  J Med Syst       Date:  2022-07-04       Impact factor: 4.920

5.  Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization.

Authors:  Mattijs S Lambooij; Hanneke W Drewes; Ferry Koster
Journal:  BMC Med Inform Decis Mak       Date:  2017-02-10       Impact factor: 2.796

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

Authors:  Hans-Jörg Gillmann; Sascha Wasilenko; Jonathan Züger; Antje Petersen; Anna Klemann; Andreas Leffler; Thomas Stueber
Journal:  Arch Med Sci       Date:  2019-03-04       Impact factor: 3.318

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

Authors:  Sangeetha R Palaniswamy; Vikyath Jain; Dhritiman Chakrabarti; Suparna Bharadwaj; Kamath Sriganesh
Journal:  Indian J Anaesth       Date:  2019-10-10

Review 8.  The Role of Electronic Medical Records in Reducing Unwarranted Clinical Variation in Acute Health Care: Systematic Review.

Authors:  Tobias Hodgson; Andrew Burton-Jones; Raelene Donovan; Clair Sullivan
Journal:  JMIR Med Inform       Date:  2021-11-17

9.  Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective.

Authors:  Karen Tu; Jessica Widdifield; Jacqueline Young; William Oud; Noah M Ivers; Debra A Butt; Chad A Leaver; Liisa Jaakkimainen
Journal:  BMC Med Inform Decis Mak       Date:  2015-08-13       Impact factor: 2.796

  9 in total

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