Ross H. Ehrmantraut’s research while affiliated with University of Washington and other places

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Publications (2)


A Conceptual Framework for Applying the Anticipatory Theory of Complex Systems to Improve Safety and Quality in Healthcare
  • Chapter

October 2017

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95 Reads

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5 Citations

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Patricia A. Kritek

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Erin L. Blakeney

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Ross H. Ehrmantraut

Effective anticipation is a fundamental characteristic of highly reliable organizations. In Rosen’s anticipatory theory of complex systems, all living systems and virtually all other complex systems require anticipatory models to maintain an organized state. This paper provides an overview of Rosen’s anticipatory theory of complex systems and presents a conceptual framework for applying this framework to improve safety and quality in healthcare. Organizational interventions based on this theory could include education of clinicians, patients, and families on how anticipatory complex systems function and improve safety in clinical environments, and systems interventions to promote optimal concordance between a team’s model of a clinical situation and the actual clinical situation. Enhanced general understandings of anticipatory complex systems and of their failure modes could help reduce communications failures that are a common cause of serious adverse events.


Proactive Risk Assessment for Ebola-Infected Patients: A Systematic Approach to Identifying and Minimizing Risk to Healthcare Personnel

May 2016

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18 Reads

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1 Citation

Infection Control and Hospital Epidemiology

Performing patient care while wearing high-level personal protective equipment presents risks to healthcare providers. Our failure mode effects analysis identified 81 overall risks associated with providing hygienic care and linen change to a patient with continuous watery stool. Implementation of checklists and scheduled pauses could potentially mitigate 76.5% of all risks. Infect Control Hosp Epidemiol 2016;37:867–871

Citations (1)


... In terms of learning mechanisms, AC emphasizes that contextual prediction should learn from users' past activities and predict their future behavior and emotional states [12]. Such predictions are simple ''outputs of predictive models,'' rather than foresight [65]. And these models were guided by specific forecasting goals, such as users' surroundings, emotions, and behavioral trajectories, and supported by diversified computing methods [14], [66]- [71]. ...

Reference:

Anticipatory Computing for Human Behavioral Change Intervention: A Systematic Review
A Conceptual Framework for Applying the Anticipatory Theory of Complex Systems to Improve Safety and Quality in Healthcare
  • Citing Chapter
  • October 2017