Key result
Tailoring smartphone alerts is linked to ~75% fewer bed exit alerts without increasing patient falls.
Why the study?
To evaluate the application of sociotechnical models and frameworks to reduce wireless calls without introducing risk or negatively impacting patient care.
Does the application of sociotechnical models and tailored workflows reduce nuisance alerts in medical-surgical nursing units?
Observational
No
Does the application of sociotechnical models and tailored workflows reduce nuisance alerts in medical-surgical nursing units?
Tailoring workflows by addressing sociotechnical factors can significantly reduce nuisance clinical alerts and improve system usefulness without introducing new risks.
May mitigate nuisance alerts via sociotechnical tailoring; leaves open prospective validation before practice change.
This study reviewed the application of sociotechnical models and frameworks to reduce wireless calls without introducing risk and impacting patient care, supplementing the findings of the study conducted by Clodfelter (Studies in Health Technology and Informatics 2024;315:463-467). This study was conducted at an 815-bed Magnet-recognized facility with comprehensive trauma, children's, and stroke services. Two models, both by Sittig and Singh, were applied to evaluate interdependent and interrelated concepts of human and technical components in the sociotechnical work system of medical-surgical nursing units. Sittig and Singh's (2010) eight-dimensional sociotechnical model comprehensively represents the factors influencing the design, development, use, implementation, and evaluation of health information technology. Interventions were piloted on three medical-surgical units with like hardware and software wireless integrations. The quantitative analysis demonstrated the effectiveness of the interventions, showing significant reductions in nuisance alerts without introducing new risks. Furthermore, there were no unintended consequences identified following the implementation of the intervention. There are direct, qualitative benefits related to decreased nuisance alarms and clinician experience. Return on investment and the value proposition reflect both tangible and intangible costs. Workflow changes, policy revisions, and system data were used to demonstrate meaningful improvement without unintended consequences. Tailoring workflows by addressing sociotechnical factors can reduce nuisance alerts and improve usefulness of systems.
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Amy D. Clodfelter (2025) conducted an observational in Alarm fatigue. Sociotechnical workflow changes and smartphone alert escalation tailoring vs. Pre-implementation baseline was evaluated on Number of wireless smartphone alerts. Tailoring smartphone alert escalations and workflows based on sociotechnical factors reduced wireless bed exit alerts by approximately 75% without increasing response times or patient falls.
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