Implications of automation surprises in aviation for the future of total intravenous anesthesia (TIVA)

Principles of Automation for Patient Safety in Intensive Care: Learning From Aviation

BACKGROUND

The transition away from written documentation and analog methods has opened up the possibility of leveraging data science and analytic techniques to improve health care. In the implementation of data science techniques and methodologies, high-acuity patients in the ICU can particularly benefit. The Principles of Automation for Patient Safety in Intensive Care (PASPIC) framework draws on Billings's principles of human-centered aviation (HCA) automation and helps in identifying the advantages, pitfalls, and unintended consequences of automation in health care.

THE FRAMEWORK AND ITS KEY CHARACTERISTICS

Billings's HCA principles are based on the premise that human operators must remain "in command," so that they are continuously informed and actively involved in all aspects of system operations. In addition, automated systems need to be predictable, simple to train, to learn, and to operate, and must be able to monitor the human operators, and every intelligent system element must know the intent of other intelligent system elements. In applying Billings's HCA principles to the ICU setting, PAPSIC has three key characteristics: (1) integration and better interoperability, (2) multidimensional analysis, and (3) enhanced situation awareness.

RECOMMENDATIONS

PAPSIC suggests that health care professionals reduce overreliance on automation and implement "cooperative automation" and that vendors reduce mode errors and embrace interoperability.

CONCLUSION

Much can be learned from the aviation industry in automating the ICU. Because it combines "smart" technology with the necessary controls to withstand unintended consequences, PAPSIC could help ensure more informed decision making in the ICU and better patient care.

Complexity, signal detection, and the application of ergonomics: reflections on a healthcare case study

Complexity is a defining characteristic of healthcare, and ergonomic interventions in clinical practice need to take into account aspects vital for the success or failure of new technology. The introduction of new monitoring technology, for example, creates many ripple effects through clinical relationships and agents' cross-adaptations. This paper uses the signal detection paradigm to account for a case in which multiple clinical decision makers, across power hierarchies and gender gaps, manipulate each others' sensitivities to evidence and decision criteria. These are possible to analyze and predict with an applied ergonomics that is sensitive to the social complexities of the workplace, including power, gender, hierarchy and fuzzy system boundaries.

Closed-loop strategies for patient care systems

Military operations, mass casualty events, and remote work sites present unique challenges to providers of immediate medical care, who may lack the necessary skills for optimal clinical management. Moreover, the number of patients in these scenarios may overwhelm available health care resources. Recent applications of closed-loop control (CLC) techniques to critical care medicine may offer possible solutions for such environments. Here, feedback of a monitored variable or group of variables is used to control the state or output of a dynamic system. Some potential advantages of CLC in patient management include limiting task saturation when there is simultaneous demand for cognitive and active clinical intervention, improving quality of care through optimization of the titration of medications, conserving limited consumable supplies, preventing secondary insults in traumatic brain injury, shortening the duration of mechanical ventilation, and achieving appropriate goal-directed resuscitation. The uses of CLC systems in critical care medicine have been increasingly explored across a wide range of therapeutic modalities. This review will provide an overview of control system theory as applied to critical care medicine that must be considered in the design of autonomous CLC systems, and introduce a number of clinical applications under development in the context of deployment of such applications to austere environments.

Technologies and Solutions for Data Display in the Operating Room

Recent advances in technology have led to the introduction of a variety of innovative devices, each with their own platform for data display, into the operating room (OR). While these innovative applications are expanding the traditional boundaries of the surgical space and enhancing treatment capabilities, the introduction of additional screens and displays is placing an ever-increasing load on the OR team. This review describes the main data display platforms currently available in ORs: computer monitors with CRT (cathode ray tube) or LCD (liquid crystal display) screens, suspended imaging displays, wearable computers (WC), auditory displays and tactile (haptic) displays. The different display platforms are evaluated according to their compatibility with the characteristics of the working environment (OR), the monitoring task, and the users (the surgical team). No single display configuration provides an ultimate solution for presenting patient data in the OR. A multi-sensory data display including visual, acoustic and haptic manipulation is suggested as a promising configuration for data display in the OR.