The clinical use of the Ohmeda Automated Anesthesia Record Keeper integrated in the Modulus II Anesthesia System

Dirksen, R.; Lerou, J.G.C.; Daele, M. Van; Nijhuis, G. M. M.; Crul, J. F.

doi:10.1007/bf02915899

Cited by 18 publications

(2 citation statements)

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“…It is claimed that automatic record keeping in anaesthesia and intensive care may improve completeness, accuracy and legibility [10][11][12][13][14][15]. Audit, quality assurance and cost calculation are an increasing demand [16] urgently requiring electronic data processing.…”

Section: Discussionmentioning

confidence: 99%

Data quality of bedside monitoring in an intensive care unit

Friesdorf

Konichezky

Groß-Alltag

et al. 1994

J Clin Monit Comput

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Computerized record keeping promises complete, accurate and legible documentation. Reliable measurements are a prerequisite to fulfill these expectations. We analyzed the physiological variables provided by bedside monitoring devices in 657 bedside visits performed by an experienced Intensive Care nurse during 75 Intensive Care rounds. We registered which variables were displayed. If a variable was displayed, we assessed whether it could be used for documentation or should be rejected. If a value was rejected the reason was registered as: the measurement was not intended (superfluous display), the current clinical situation did not allow proper measurement, or other reasons. Basic variables (vital signs and respiration related variables) were displayed in more then 90%, specific variables (e.g. intracranial pressure) were displayed in less than 50% of the situations. Displayed variables were superfluous on an average of 11% because measurement was not intended. Variables like heart rate, temperature, airway pressure, minute volume of ventilation, arrhythmia, pulmonary arterial pressure, non-invasive blood pressure, and intracranial pressure provide high quality measured values (acceptance of more than 90%). Invasive arterial pressure, central venous pressure, respiration rate and oxygen saturation (via pulse oximetry) provided lower quality values with a rejection rate higher than 10%. Inappropriate sensor technology to match the clinical environment seems to be the root cause. In future the request for automatic documentation will increase. In order to avoid additional staff workload and to ensure reliable documentation, sensor technology especially related to respiration rate, blood pressure measurements, and pulse oximetry should be improved.

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Section: Discussionmentioning

confidence: 99%

Data quality of bedside monitoring in an intensive care unit

Friesdorf

Konichezky

Groß-Alltag

et al. 1994

J Clin Monit Comput

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“…The AAR is more complete, readable, and objective than a handwritten anesthesia record. 12 Because critical physiological variables are often not accurately represented with pen and paper anesthesia charting, 13,14 only an AIMS can provide automatically acquired objective data to assess the impact of changes in practice patterns on intraoperative incidents such as tachycardia, arterial hypotension, or electrocardiographic changes. The AIMS PD can also generate QA reports that track compliance with institutional procedures, and protocols.…”

Section: Justifying the Purchase Of An Aimsmentioning

confidence: 99%

Anesthesia Information Management System Implementation: A Practical Guide

Muravchick¹,

Caldwell²,

Epstein³

et al. 2008

Anesthesia &Amp; Analgesia

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Anesthesia Information Management Systems (AIMS) display and archive perioperative physiological data and patient information. Although currently in limited use, the potential benefits of an AIMS with regard to enhancement of patient safety, clinical effectiveness and quality improvement, charge capture and professional fee billing, regulatory compliance, and anesthesia outcomes research are great. The processes and precautions appropriate for AIMS selection, installation, and implementation are complex, however, and have been learned at each site by trial and error. This collaborative effort summarizes essential considerations for successful AIMS implementation, including product evaluation, assessment of information technology needs, resource availability, leadership roles, and training.

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Analgesiology: A New Approach to Pain

Dirksen¹

1991

Contemporary Issues in Chronic Pain Management

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The clinical use of the Ohmeda Automated Anesthesia Record Keeper integrated in the Modulus II Anesthesia System

Cited by 18 publications

References 0 publications

Data quality of bedside monitoring in an intensive care unit

Data quality of bedside monitoring in an intensive care unit

Anesthesia Information Management System Implementation: A Practical Guide

Analgesiology: A New Approach to Pain

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