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Computer analysis system of the physician-patient consultation process
Kimiko Katsuyama1, Yuichi Koyama, Yasushi Hirano
1Department of Nursing Administration, Osaka Prefecture University, Osaka, Japan. katuyama@nursing.osakafu-u.ac.jp
International Journal of Health Care Quality Assurance
|June 12, 2010
Summary
A new computer analysis system for the physician-patient consultation process (CASC) quantifies communication quality. This system, based on narrative medicine, achieved a 75% concordance rate with human assessments.
Area of Science:
- Medical Informatics
- Health Communication
- Artificial Intelligence in Healthcare
Background:
- Assessing physician-patient communication quality is crucial for patient outcomes.
- Quantifying communication quality objectively has been a significant challenge.
- Existing methods often lack the precision needed for detailed analysis.
Purpose of the Study:
- To develop a computer analysis system for the physician-patient consultation process (CASC).
- To quantitatively analyze communication exchanges between physicians and patients.
- To establish a reliable tool for assessing consultation quality.
Main Methods:
- CASC utilizes narrative-based medicine and cognitive dialog processing.
- The system's validity was confirmed using expert-annotated consultation samples.
- 29 migraine patient consultations were analyzed and compared with researcher assessments.
Main Results:
- CASC generated concept structure and concept space diagrams to evaluate consultation quality.
- A 75% concordance rate was observed between CASC assessments and human researchers.
- The system demonstrated efficiency in quantifying communication exchanges.
Conclusions:
- A computer-based system (CASC) was successfully developed to quantify physician-patient consultation quality.
- CASC shows promise as an effective tool for clinical and educational evaluation.
- This system offers a novel approach to objective communication assessment.
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