Literature DB >> 7930852

Data quality of bedside monitoring in an intensive care unit.

W Friesdorf1, S Konichezky, F Gross-Alltag, A Fattroth, B Schwilk.   

Abstract

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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Mesh:

Year:  1994        PMID: 7930852     DOI: 10.1007/bf01259562

Source DB:  PubMed          Journal:  Int J Clin Monit Comput        ISSN: 0167-9945


  3 in total

1.  A comparison of vital signs charted by nurses with automated acquired values using waveform quality indices.

Authors:  Monica Sapo; Shaozhi Wu; Shadnaz Asgari; Norma McNair; Farzad Buxey; Neil Martin; Xiao Hu
Journal:  J Clin Monit Comput       Date:  2009-07-23       Impact factor: 2.502

Review 2.  The Necessity of Data Mining in Clinical Emergency Medicine; A Narrative Review of the Current Literatrue.

Authors:  Elahe Parva; Reza Boostani; Zahra Ghahramani; Shahram Paydar
Journal:  Bull Emerg Trauma       Date:  2017-04

3.  Clinician blood pressure documentation of stable intensive care patients: an intelligent archiving agent has a higher association with future hypotension.

Authors:  Caleb W Hug; Gari D Clifford; Andrew T Reisner
Journal:  Crit Care Med       Date:  2011-05       Impact factor: 7.598

  3 in total

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