Using an Anesthesia Information Management System to Prove a Deficit in Voluntary Reporting of Adverse Events in a Quality Assurance Program

被引:0
|
作者
Matthias Benson
Axel Junger
Carsten Fuchs
Lorenzo Quinzio
Sebastian Böttger
Andreas Jost
Dirk Uphus
Gunter Hempelmann
机构
[1] Justus-Liebig-University,Department of Anaesthesiology and Intensive Care Medicine
关键词
Quality assurance; medical record system, computerized; perioperative complications; risk factors; database management systems;
D O I
暂无
中图分类号
学科分类号
摘要
Objective.A deficit is suspected in the manual documentation ofadverse events in quality assurance programs in anesthesiology. In order toverify and quantify this, we retrospectively compared the incidence ofmanually recorded perioperative adverse events with automatically detectedevents. Methods.In 1998, data of all anesthetic procedures, includingthe data set for quality assurance of the German Society of Anaesthesiologyand Intensive Care Medicine (DGAI), was recorded online with the AnesthesiaInformation Management System (AIMS) NarkoData4® (Imeso GmbH). SQL(Structured Query Language) queries based on medical data were defined for theautomatic detection of common adverse events. The definition of the SQLstatements had to be in accordance with the definition of the DGAI forperioperative adverse events: A potentially harmful change of parameters ledto therapeutic interventions by an anesthesiologist. Results.During16,019 surgical procedures, anesthesiologists recorded 911 (5.7%) adverseevents manually, whereas 2966 (18.7%) events from the same database weredetected automatically. With the exception of hypoxemia, the incidence ofautomatically detected events was considerably higher than that of manuallyrecorded events. Fourteen and a half percent (435) of all automaticallydetected events were recorded manually. Conclusion.Using automaticdetection, we were able to prove a considerable deficit in the documentationof adverse events according to the guidelines of the German quality assuranceprogram in anesthesiology. Based on the data from manual recording, theresults of the quality assurance of our department match those of othercomparable German departments. Thus, we are of the opinion that manualincident reporting seriously underestimates the true occurrence rate ofincidents. This brings into question the validity of quality assurancecomparisons based on manually recorded data.
引用
收藏
页码:211 / 217
页数:6
相关论文
共 50 条
  • [1] Using an anesthesia information management system to prove a deficit in voluntary reporting of adverse events in a quality assurance program
    Benson, M
    Junger, A
    Fuchs, C
    Quinzio, L
    Böttger, S
    Jost, A
    Uphus, D
    Hempelmann, G
    [J]. JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2000, 16 (03) : 211 - 217
  • [2] Leveraging the Existing Anesthesia Information Management System to Improve Anesthesia Quality Assurance Outcome Reporting
    Kristobak, Benjamin M.
    Jabaut, Joshua M.
    Dickson, Cody F.
    Cronin, William A.
    [J]. MILITARY MEDICINE, 2021, 186 (9-10) : 1001 - 1009
  • [3] Is voluntary reporting of critical events effective for quality assurance?
    Cooper, JB
    [J]. ANESTHESIOLOGY, 1996, 85 (05) : 961 - 964
  • [4] Quality Endoscopy: Tracking Endoscopic Adverse Events Using an Electronic Medical Record System Is Superior to a Voluntary Reporting System
    Fang, Daniel
    Shah, Ashish R.
    Kemp, Aaron
    Krinsky, Mary L.
    [J]. GASTROINTESTINAL ENDOSCOPY, 2012, 75 (04) : 302 - 302
  • [5] The reliability of manual reporting of clinical events in an anesthesia information management system (AIMS)
    Simpao, Allan F.
    Pruitt, Eric Y.
    Cook-Sather, Scott D.
    Gurnaney, Harshad G.
    Rehman, Mohamed A.
    [J]. JOURNAL OF CLINICAL MONITORING AND COMPUTING, 2012, 26 (06) : 437 - 439
  • [6] The reliability of manual reporting of clinical events in an anesthesia information management system (AIMS)
    Allan F. Simpao
    Eric Y. Pruitt
    Scott D. Cook-Sather
    Harshad G. Gurnaney
    Mohamed A. Rehman
    [J]. Journal of Clinical Monitoring and Computing, 2012, 26 : 437 - 439
  • [7] Changing medical group behaviors: Increasing the rate of documentation of quality assurance events using an anesthesia information system
    Vigoda, Michael M.
    Gencorelli, Frank
    Lubarsky, David A.
    [J]. ANESTHESIA AND ANALGESIA, 2006, 103 (02): : 390 - 395
  • [8] Adverse Events of Desvenlafaxine Using FDA Adverse Events Reporting System
    Karydes, H. C.
    Leikin, J. B.
    [J]. CLINICAL TOXICOLOGY, 2010, 48 (06) : 664 - 664
  • [9] Management Information System and Quality Assurance
    Ta, Hien Thu Thi
    Nguyen, Phuong Vu
    [J]. EUROPEAN JOURNAL OF CONTEMPORARY EDUCATION, 2023, 12 (01): : 204 - 220
  • [10] Comparison of manual and automated documentation of adverse events with an Anesthesia Information Management System (AIMS)
    Benson, M
    Junger, A
    Michel, A
    Sciuk, G
    Quinzio, L
    Marquardt, K
    Hempelmann, G
    [J]. MEDICAL INFOBAHN FOR EUROPE, PROCEEDINGS, 2000, 77 : 925 - 929