The role of information systems in emergency department decision-making—a literature review

Cornelius Born, Romy Schwarz, Timo Phillip Bottcher, Andreas Hein, Helmut Krcmar

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Objectives: Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED. Materials and methods: We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs’ timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes. Results: Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes. Discussion: Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation. Conclusion: We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Original languageEnglish
Pages (from-to)1608-1621
Number of pages14
JournalJournal of the American Medical Informatics Association
Volume31
Issue number7
DOIs
StatePublished - 1 Jul 2024

Keywords

  • clinical decision support systems
  • clinical decision-making
  • computer-assisted decision-making
  • emergency medical services
  • information overload
  • information systems

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