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An automatic PDMS interface for the Urotrack Plus 220 urimeter.

M M Shabot¹, M LoBue, B J Leyerle

¹Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.

International Journal of Clinical Monitoring and Computing

|January 1, 1988

Summary

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Automating urine measurements in critically ill patients with electronic urimeters saves nursing time. This technology streamlines data entry and improves efficiency in patient care.

Area of Science:

Critical care medicine
Biomedical engineering
Health informatics

Background:

Periodic urine volume and temperature measurements in critically ill patients are labor-intensive and pose infection risks.
Manual data recording is prone to errors and time-consuming for nursing staff.

Purpose of the Study:

To evaluate the feasibility and benefits of automating urine measurements using electronic urimeters interfaced with a patient data management system.
To assess the impact of automated urimetry on nursing workload and data accuracy.

Main Methods:

Interfaced 20 electronic urimeters (Urotrack Plus 220) to a computerized patient data management system (Hewlett-Packard 78709A PDMS) via an I/O port.
Utilized daisy-chained controllers for port switching and a communications adapter for flow control to manage data transmission.

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Collected device status reports transmitted once per second from each urimeter.

Main Results:

The automated system provided a continuous display of urine volume and temperature data.
Completely automated data entry for patient flowsheets, reducing manual documentation.
Estimated to save approximately 27 nursing minutes per patient per day, demonstrating cost-effectiveness and labor savings.

Conclusions:

Automated urimetry using electronic devices interfaced with PDMS is a feasible and beneficial approach in critical care settings.
This technology significantly reduces nursing workload, enhances data accuracy, and improves overall efficiency in patient monitoring.
Electronic urimeters represent a cost-effective solution for optimizing critical care workflows.