Design and Implementation of a Bill Printing System Based on the PyQt Framework and Artificial Intelligence
Keywords:
Bill Printing System, PyQt, Artificial IntelligenceAbstract
Aiming at the current situation of low efficiency and easy errors in the traditional manual invoicing process of the hospital’s financial department, this research designs and implements an automated bill printing system based on the PyQt framework, Python language, and combined with artificial intelligence technology. The system integrates SQLite database management, dynamic data query, and PDF template printing technology to achieve the full-process automation of bill entry, printing, voiding, and multi-dimensional data export. The core functions include: rapid information filling based on database linkage, automatic conversion of amounts to Chinese capitalization, user-defined template adaptation, etc. Applications show that the system reduces the single invoicing time from 3 minutes to within 10 seconds, significantly reduces the error rate, and optimizes the interaction design through user feedback. This research provides an efficient and practical technical solution for financial management in medical scenarios and has good prospects for popularization and application.
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Copyright (c) 2026 Heming Zhang, Hongli Li
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