Literature DB >> 8373603

Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records.

D W Edsall1, P Deshane, C Giles, D Dick, B Sloan, J Farrow.   

Abstract

STUDY
OBJECTIVE: To compare manual and computerized anesthesia information management systems (AIMS's) with respect to time demands on the anesthetist and record quality.
DESIGN: Videotaped clinical anesthesia cases were independently reviewed along with the records produced.
SETTING: Private practice anesthesia at a 150-bed community hospital. PATIENTS: Ten consecutive ASA physical status I patients having video arthroscopy of the knee by the same surgeon and having general anesthesia.
INTERVENTIONS: One anesthetist recorded six cases: three with the computer and three manually. Two more anesthetists each recorded two cases: one with the computer and one manually.
MEASUREMENTS AND MAIN RESULTS: The proportion of the anesthetist's time spent on the documentation for the computer records was significantly less than that spent on manual records (14.9% vs. 36.6%; p < 0.001). Nevertheless, significantly more vital sign data points were recorded on the computer than on the manual records (245.2 vs. 45.0 vital sign points per case; p < 0.001), as well as significantly more notes and drug information (61.0 vs. 40.0 notes per case; p < 0.02). The computer record was always legible, but this was not the case with the manual records. There was no significant difference in the number of artifacts detected on the records.
CONCLUSION: The concern that the introduction of computerized AIMS's may complicate the anesthesia working environment by requiring more time than manual AIMS's and thus detracting from direct patient care is not supported by this study. In fact, this computer approach not only required less time but also produced a more complete and higher-quality record than did the manual AIMS.

Entities:  

Mesh:

Year:  1993        PMID: 8373603     DOI: 10.1016/0952-8180(93)90118-x

Source DB:  PubMed          Journal:  J Clin Anesth        ISSN: 0952-8180            Impact factor:   9.452


  17 in total

1.  Real-time pulse oximetry artifact annotation on computerized anaesthetic records.

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Journal:  J Clin Monit Comput       Date:  2002 Apr-May       Impact factor: 2.502

2.  Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping.

Authors:  Thomas Corey Davis; Jeffrey A Green; Alexander Colquhoun; Brenda L Hage; Chuck Biddle
Journal:  J Clin Monit Comput       Date:  2012-03-17       Impact factor: 2.502

3.  Assessing data quality in manual entry of ventilator settings.

Authors:  David K Vawdrey; Reed M Gardner; R Scott Evans; James F Orme; Terry P Clemmer; Loren Greenway; Frank A Drews
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

4.  Computer aided monitor-data processing (CAMP). A landmark for unbiased gauging of anaesthetic courses?

Authors:  A Petry
Journal:  J Clin Monit Comput       Date:  1998-02       Impact factor: 2.502

Review 5.  Accuracy of data in computer-based patient records.

Authors:  W R Hogan; M M Wagner
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

6.  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

7.  Anesthesia Information Management Systems in the Czech Republic from the Perspective of Early Adopters.

Authors:  Jan Bruthans
Journal:  J Med Syst       Date:  2020-02-19       Impact factor: 4.460

8.  Use of an anesthesia information management system (AIMS) to evaluate the physiologic effects of hypnotic agents used to induce anesthesia.

Authors:  M Benson; A Junger; C Fuchs; L Quinzio; S Böttger; G Hempelmann
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

9.  Application of artificial neural networks as an indicator of awareness with recall during general anaesthesia.

Authors:  Seppo O V Ranta; Markku Hynynen; Jukka Räsänen
Journal:  J Clin Monit Comput       Date:  2002-01       Impact factor: 2.502

10.  Computerize anesthesia record keeping in thoracic surgery--suitability of electronic anesthesia records in evaluating predictors for hypoxemia during one-lung ventilation.

Authors:  Jochen Sticher; Axel Junger; Bernd Hartmann; Matthias Benson; Andreas Jost; Martin Golinski; Stefan Scholz; Gunter Hempelmann
Journal:  J Clin Monit Comput       Date:  2002-08       Impact factor: 2.502

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