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Related Experiment Videos

Computerized pre-anesthetic evaluation results in additional abstracted comorbidity diagnoses

G L Gibby1, D A Paulus, D J Sirota

  • 1Department of Anesthesiology, University of Florida, College of Medicine, Gainesville 32610-0254, USA.

Journal of Clinical Monitoring
|January 1, 1997
PubMed
Summary
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A computerized preanesthetic evaluation system improved diagnosis coding and hospital reimbursement by adding International Classification of Diseases (ICD-9-CM) diagnoses. This enhanced medical record accuracy and financial outcomes.

Area of Science:

  • Medical Informatics
  • Health Services Research
  • Clinical Documentation

Background:

  • Accurate coding of diagnoses is crucial for hospital reimbursement.
  • Preanesthetic evaluations are key opportunities for comprehensive patient assessment.
  • Computerized systems can potentially improve data capture and coding accuracy.

Purpose of the Study:

  • To evaluate the effect of physician-entered computerized preanesthetic evaluation data on ICD-9-CM diagnosis coding.
  • To assess the impact of these coding changes on hospital reimbursement through DRG code alterations.

Main Methods:

  • A nonrandomized, unblinded trial was conducted at a university tertiary care hospital.
  • Medical charts were coded twice: once without and once with reference to computerized preanesthetic evaluation reports.

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  • International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnoses and diagnosis-related group (DRG) assignments were analyzed.

    • Main Results:

    • In 12% of cases (22 of 180), at least one ICD-9-CM diagnosis was added after consulting the computerized system.
    • Three out of 84 DRG-based reimbursements were altered.
    • Hospital reimbursement increased by 1.5% due to these alterations.

    Conclusions:

    • Supplemental information from a physician-entered, problem-oriented computerized preanesthetic evaluation system enhances the discovery of diagnoses.
    • This system improves the completeness of medical record documentation.
    • The findings suggest a positive impact on both clinical accuracy and hospital revenue.