User-Centered Design of ALERT-ITS: An ICU Bed Forecasting Monitoring System

Intensive care units must proactively plan for adequate resource availability to ensure timely patient care, reducing wait times and improving satisfaction. Access to short-term bed demand forecasts and real-time capacity assessments enables hospital decision-makers to make informed, data-driven decisions. A monitoring system that forecasts bed capacity based on environmental factors can significantly enhance resource management. This paper focuses on the iterative User-Centered Design (UCD) process, with particular emphasis on the design methodology and iterative optimization of its user interface. The presented UCD approach explores how healthcare professionals envision the interface for a bed capacity forecasting system. An initial prototype, developed from preliminary research, was evaluated by twelve specialists, including healthcare professionals, senior nursing staff, and IT specialists, through three interviews. These discussions led to categorized functions and key insights. The early incorporation of diverse user feedback facilitated the creation of a user-friendly interface, enhancing the system's ability to present bed capacity forecasts and support clinical decision-making.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250392
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

User-Centered Design of ALERT-ITS: An ICU Bed Forecasting Monitoring System

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Studies in health technology and informatics
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User-Centered Design of ALERT-ITS: An ICU Bed Forecasting Monitoring System

Ludwig Christian Hinske, Philip Meyer, Iñaki Soto‐Rey, Samantha Cramer, Bastian Wein, Yevgeniia Ignatenko, Marie Schaumann, Lucas Pröll
article en

Abstract

Intensive care units must proactively plan for adequate resource availability to ensure timely patient care, reducing wait times and improving satisfaction. Access to short-term bed demand forecasts and real-time capacity assessments enables hospital decision-makers to make informed, data-driven decisions. A monitoring system that forecasts bed capacity based on environmental factors can significantly enhance resource management. This paper focuses on the iterative User-Centered Design (UCD) process, with particular emphasis on the design methodology and iterative optimization of its user interface. The presented UCD approach explores how healthcare professionals envision the interface for a bed capacity forecasting system. An initial prototype, developed from preliminary research, was evaluated by twelve specialists, including healthcare professionals, senior nursing staff, and IT specialists, through three interviews. These discussions led to categorized functions and key insights. The early incorporation of diverse user feedback facilitated the creation of a user-friendly interface, enhancing the system's ability to present bed capacity forecasts and support clinical decision-making.

Studies in health technology and informaticsVol. 327
University of Augsburg (DE), University Hospital Augsburg (DE)
Gemeinsame Bundesausschuss
Openalex Percentile: Top 71%
Healthcare Technology and Patient Monitoring
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