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Qualitative evaluation of the supporting system for diagnosis procedure combination code selection.

Kazuya Okamoto1, Toshio Uchiyama, Tadamasa Takemura

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This study developed a machine learning system to aid Japanese medical staff in selecting diagnosis procedure combination (DPC) codes for inpatients. While generally useful for identifying corrections, the system

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Area of Science:

  • Health Informatics
  • Medical Coding Systems
  • Machine Learning in Healthcare

Background:

  • Accurate diagnosis procedure combination (DPC) code selection is crucial for inpatient management in Japan.
  • Current DPC code selection relies on medical staff, which can be time-consuming and prone to errors.
  • A need exists for efficient and accurate DPC code selection support systems.

Purpose of the Study:

  • To develop and evaluate a machine learning-based system to support DPC code selection for inpatients in Japan.
  • To assess the system's utility and accuracy compared to physician-selected DPC codes.
  • To identify areas for improvement in the DPC code suggestion system.

Main Methods:

  • Development of a machine learning model based on Okamoto et al.'s work for DPC code suggestion.
  • Utilizing inpatient medical practice information to derive DPC code recommendations.
  • Evaluation by health information management professionals comparing system suggestions with physician-selected codes.

Main Results:

  • The developed system was found to be generally useful for medical staff in DPC code selection.
  • The system successfully identified cases where existing DPC codes for hospitalized patients required correction.
  • Health information management professionals indicated that the system's precision requires further improvement.

Conclusions:

  • The machine learning-based DPC code selection support system shows promise in assisting medical staff in Japan.
  • The system can aid in identifying potential inaccuracies in current DPC code assignments.
  • Further refinement is necessary to enhance the precision of the DPC code suggestions.