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Developing an Intuitive Intelligent Inpatient Medical Record System.

Chia-Jung Chen1, Hsien-Yi Wang2, June-Dong Lin1

  • 1Department of Information Systems, Chi Mei Medical Center, Tainan, Taiwan.

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Chimei Medical Center created an intelligent inpatient medical record system. This system uses smart technology to improve medical record quality and aid health insurance payments.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Electronic health records (EHRs) are essential for modern healthcare delivery.
  • Integrating diverse data types (structured, unstructured, textual) in EHRs presents challenges.
  • Ensuring the quality and completeness of medical records is crucial for patient care and billing.

Purpose of the Study:

  • To develop an intuitive intelligent inpatient medical record system.
  • To integrate structured, unstructured, and textual medical records.
  • To provide health insurance payment suggestions and improve medical record quality.

Main Methods:

  • Development of an intelligent inpatient medical record system at Chimei Medical Center.
  • Integration of structured, unstructured, and textual medical data.
  • Utilization of intelligent technology, including Python and Content Difference Recognition software.
  • Focus on identifying differences in recorded progress notes to ensure quality.

Main Results:

  • The system successfully integrates various medical record formats.
  • Intelligent technology aids in identifying discrepancies in progress notes, enhancing record quality.
  • The system provides health insurance payment suggestions from a collaborative writer's perspective.

Conclusions:

  • The developed intelligent system enhances inpatient medical record quality.
  • The integration of diverse data and intelligent analysis supports accurate health insurance payments.
  • This approach offers a novel solution for improving EHR management and clinical documentation.