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Remote Laboratory Management: Respiratory Virus Diagnostics

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Developing a Quick Isolation Bed Inquiry System During the COVID-19 Outbreak: User-Centered Design Approach Based on

Chien-Chung Lin¹, Jian-Hong Shen², Shan-Li Chang³

¹Department of Surgery and Orthopedic Surgery, Taipei City Hospital, University of Taipei, Taipei City, Taiwan.

JMIR Formative Research

|October 17, 2025

Summary

A rapid, zero-cost bed management system significantly improved hospital efficiency during COVID-19. The Quick Isolation Bed Inquiry System reduced query time by 97.4%, enabling faster patient admissions without extra staff or costs.

Keywords:

PDCA Toyota business practice Toyota production system autonomation continuous improvement health care IT information technology just-in-time lean problem solving quality improvement value stream map

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Area of Science:

Healthcare Management
Health Informatics
Quality Improvement Science

Background:

COVID-19 pandemic led to critical staff and resource shortages in specialized hospitals.
Manual, phone-based bed allocation was inefficient, averaging 454 seconds per query.
Traditional IT solutions were infeasible due to time and cost constraints.

Purpose of the Study:

To design and implement a rapid, zero-cost Quick Isolation Bed Inquiry System.
To provide real-time bed information for timely patient admissions.
To achieve these goals without additional workforce or expense.

Main Methods:

A 3-cycle pre-post quality improvement study using the Toyota Business Practice (TBP) framework.
Developed a user-centered solution by leveraging existing hospital data export functions.
Automated bed information filtering and display using Microsoft Excel VBA.

Main Results:

Reduced process steps from 25 to 3 and query time from 454 to 12 seconds (97.4% efficiency gain).
System generated multiple outputs within 4 seconds and distribution within 7 seconds.
Achieved 100% reliability and was developed within 3 days using existing resources.

Conclusions:

The Toyota Business Practice enabled rapid development of a zero-cost, user-centered bed management tool.
The system significantly improved efficiency, reliability, and usability without additional costs or staff.
The approach offers a scalable model for agile healthcare systems facing resource constraints.