DIGITAL WORKFLOW SYSTEMS IN EMERGENCY DEPARTMENTS: A SOCIO-TECHNICAL ANALYSIS OF STAFF EFFICIENCY AND WELL-BEING

Background: The rapid digitization of healthcare has transformed the Emergency Department (ED) into a complex socio-technical system. While Digital Workflow Systems (DWS), including Electronic Health Records (EHR) and Clinical Decision Support Systems (CDSS), aim to optimize operational metrics, their impact on the cognitive ecosystem of healthcare professionals is often overlooked. This article conducts a socio-technical analysis of the dichotomy between IT-driven efficiency and staff well-being. Methods: Employing a hybrid systematic–narrative review approach underpinned by the SEIPS 2.0 framework, this study synthesizes literature published between 2018 and 2025. The analysis focuses on identifying how poorly designed interfaces contribute to systemic failures within the ED work system. Results: The findings reveal that interface design flaws significantly contribute to "technostress," cognitive overload, and moral injury among staff. The review identifies a "productivity paradox" where digital tools, intended to assist clinical workflows, instead become primary sources of professional burnout. Conclusion: To address these challenges, the paper proposes a framework for resilient, human-centric design. It emphasizes the critical need for integrating cognitive ergonomics and explainable AI into future ED information systems to ensure both patient safety and operator well-being.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Technologies in Social Science
Published
2026-04-13
DOI
https://doi.org/10.31435/ijitss.2(50).2026.5157
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIGITAL WORKFLOW SYSTEMS IN EMERGENCY DEPARTMENTS: A SOCIO-TECHNICAL ANALYSIS OF STAFF EFFICIENCY AND WELL-BEING

Aleksandra Jagiełło, Piotr Pietrzyk, Natalia Stanek, Milena Lewicka et al.
International Journal of Innovative Technologies in Social Science
Artificial Intelligence in Healthcare and Education
article

DIGITAL WORKFLOW SYSTEMS IN EMERGENCY DEPARTMENTS: A SOCIO-TECHNICAL ANALYSIS OF STAFF EFFICIENCY AND WELL-BEING

Aleksandra Jagiełło, Piotr Pietrzyk, Natalia Stanek, Milena Lewicka, Joanna Ślusarczyk, Tamara Chodań, Maja Łapaj, Beata Szreder, Patrycja Krawczyk, Zuzanna Noweta
article en

Abstract

Background: The rapid digitization of healthcare has transformed the Emergency Department (ED) into a complex socio-technical system. While Digital Workflow Systems (DWS), including Electronic Health Records (EHR) and Clinical Decision Support Systems (CDSS), aim to optimize operational metrics, their impact on the cognitive ecosystem of healthcare professionals is often overlooked. This article conducts a socio-technical analysis of the dichotomy between IT-driven efficiency and staff well-being. Methods: Employing a hybrid systematic–narrative review approach underpinned by the SEIPS 2.0 framework, this study synthesizes literature published between 2018 and 2025. The analysis focuses on identifying how poorly designed interfaces contribute to systemic failures within the ED work system. Results: The findings reveal that interface design flaws significantly contribute to "technostress," cognitive overload, and moral injury among staff. The review identifies a "productivity paradox" where digital tools, intended to assist clinical workflows, instead become primary sources of professional burnout. Conclusion: To address these challenges, the paper proposes a framework for resilient, human-centric design. It emphasizes the critical need for integrating cognitive ergonomics and explainable AI into future ED information systems to ensure both patient safety and operator well-being.

International Journal of Innovative Technologies in Social ScienceVol. 1(2(50))
Nicolaus Copernicus University (PL), Central Clinical Hospital (PL), Ministerio del Interior (ES), 2P-Info (Poland) (PL), Gdańsk Medical University (PL)
Decent work and economic growth
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.