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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Automation failures and patient safety.

Keith J Ruskin¹, Anna Clebone Ruskin, Michael O'Connor

¹Anesthesia and Critical Care, University of Chicago, Illinois, USA.

Current Opinion in Anaesthesiology

|October 23, 2020

Summary

Automated systems in healthcare can reduce errors but pose risks like loss of awareness. Understanding automation failures and proper training are crucial for safe clinical practice.

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Area of Science:

Medical technology
Clinical automation
Patient safety

Background:

Automation aims to reduce anesthesiologist workload and human error.
Automated systems introduce challenges such as loss of situation awareness and 'physician out of the loop' scenarios.
Training clinicians to monitor autonomous systems is essential.

Purpose of the Study:

To review the increasing use of automated systems in healthcare.
To describe two common types of automation failures: automation surprise and mode confusion.
To discuss the impact of these failures on clinician trust and system control.

Main Methods:

Literature review on healthcare automation.
Analysis of automation failure modes.
Discussion of training and competency requirements.

Main Results:

Automation surprise: unexpected system actions.
Mode confusion: operator misunderstanding of system function.
Failures erode clinician trust and hinder regaining control of malfunctioning devices.

Conclusions:

Clinicians require generalized training for managing automation.
Competency demonstration is necessary before using automated medical equipment.
Examples include electronic health records, infusion pumps, and ventilators.