Literature DB >> 8706202

Patient data management systems in anaesthesia: an emerging technology.

Y G Weiss1, S Cotev, B Drenger, R Katzenelson.   

Abstract

The purpose of this review is to define the expectations of an on-line automatic patient data management system (PDMS) into anaesthesia work-stations in and around the operating room suite. These expectations are based on review of available information in the medical literature, and trials of several systems that are available commercially, three of them in a more detailed fashion (i.e. Informatics, Datex and North American Drager). The ideal PDMS should: -- communicate with and capture the information from different monitors, anaesthesia machines and electronic gadgets (e.g., infusion pumps) used in the operating room (OR), while presenting selected relevant values and trends on a screen. -- inform the anaesthetist of deviations from preselected limits of physiological and technical values. In the future, the system will hopefully be upgraded to include an algorithm-based decision support system. -- communicate with the hospital mainframe computer, and automatically transfer demographic data, laboratory and imaging results, and records obtained during preoperative consultations. -- at the end of each anaesthetic procedure, create an anaesthetic record with relevant data automatically collected by the system, as well as that which was entered manually by the physician during the procedure. A copy of this anaesthesia file must be kept on a computerized archive system. None of the systems so far evaluated fulfilled all our expectations. We have therefore adopted approach for the gradual introduction of such a system into our OR environment over the next two to five years, during which expected improvements may be incorporated to upgrade the system.

Entities:  

Mesh:

Year:  1995        PMID: 8706202     DOI: 10.1007/BF03011040

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  18 in total

1.  Eight year's experience with automated anesthesia record keeping: lessons learned--new directions taken.

Authors:  J P Abenstein; C B De Vos; M D Abel; S Tarhan
Journal:  Int J Clin Monit Comput       Date:  1992

2.  Standardized acquisition of bedside data: the IEEE P1073 medical information bus.

Authors:  M M Shabot
Journal:  Int J Clin Monit Comput       Date:  1989-12

3.  The present and future medicolegal importance of record keeping in anesthesia and intensive care: the case for automation.

Authors:  R F Gibbs
Journal:  J Clin Monit       Date:  1989-10

4.  Differences between handwritten and automatic blood pressure records.

Authors:  R I Cook; J S McDonald; E Nunziata
Journal:  Anesthesiology       Date:  1989-09       Impact factor: 7.892

5.  Sampling intervals for clinical monitoring of variables during anesthesia.

Authors:  J S Gravenstein; A de Vries; J E Beneken
Journal:  J Clin Monit       Date:  1989-01

Review 6.  Integration of monitoring for intelligent alarms in anesthesia: neural networks--can they help?

Authors:  K C Mylrea; J A Orr; D R Westenskow
Journal:  J Clin Monit       Date:  1993-01

Review 7.  Challenges and opportunities for computerizing the anesthesia record.

Authors:  R M Gardner; O Prakash
Journal:  J Clin Anesth       Date:  1994 Jul-Aug       Impact factor: 9.452

8.  Update of STA 1992: the anesthesia workstation.

Authors:  J M Calkins
Journal:  J Clin Monit       Date:  1994-09

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

Authors:  D W Edsall; P Deshane; C Giles; D Dick; B Sloan; J Farrow
Journal:  J Clin Anesth       Date:  1993 Jul-Aug       Impact factor: 9.452

10.  Manual record keeping is not necessary for anesthesia vigilance.

Authors:  R G Loeb
Journal:  J Clin Monit       Date:  1995-01
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  3 in total

1.  Making ICU alarms meaningful: a comparison of traditional vs. trend-based algorithms.

Authors:  R Schoenberg; D Z Sands; C Safran
Journal:  Proc AMIA Symp       Date:  1999

Review 2.  The anesthesia information management system for electronic documentation: what are we waiting for?

Authors:  Eric L Bloomfield; Neil G Feinglass
Journal:  J Anesth       Date:  2008-11-15       Impact factor: 2.078

3.  Two open access, high-quality datasets from anesthetic records.

Authors:  David Cumin; Vanessa Newton-Wade; Michael J Harrison; Alan F Merry
Journal:  J Am Med Inform Assoc       Date:  2012-08-04       Impact factor: 4.497

  3 in total

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