Human Factors and Ergonomics in Healthcare: Industry Demands and a Path Forward

This article reviews three industry demands that will impact the future of Human Factors and Ergonomics in Healthcare settings. These demands include the growing population of older adults, the increasing use of telemedicine, and a focus on patient-centered care. Following, we discuss a path forward through improved medical teams, error management, and safety testing of medical devices and tools. Future challenges are discussed.

Effect Mechanism of Error Management Climate on Innovation Behavior: An Investigation From Chinese Entrepreneurs

Errors are inevitable in an increasingly risky and dynamic entrepreneurial environment. The error management and the error climate perceived by the members are crucial to the subsequent innovation behaviors. Maintaining and improving the psychological capital of entrepreneurs under errors is not only the psychological activities of entrepreneurs themselves but also a critical management process in which an organization can influence the psychological factors and behaviors of entrepreneurs through error management climate. In the context of Chinese culture, this study explores the influence of error management climate on entrepreneurial self-efficacy and innovation behavior under the boundary condition of Zhongyong thinking. Two hundred ninety samples of Chinese entrepreneurs are empirically analyzed in this study, and results show that: (1) error management climate and entrepreneurial self-efficacy have significant positive effects on entrepreneurs’ innovation behavior; (2) entrepreneurial self-efficacy mediates the relationship between error management climate and innovation behavior; and (3) Zhongyong thinking plays moderating roles in the process of error management climate influencing innovation behavior. This study complements the entrepreneurship literature with its focus on error management climate as an essential antecedent of entrepreneurial self-efficacy, and promotes an understanding of how Chinese practitioners promote innovative behavior from a cultural perspective.

Bureaucratic routines and error management in algorithmic systems

This article discusses how an analogy between algorithms and bureaucratic decision-making could help conceptualize error management in algorithmic systems. It argues that a view of algorithms as irreflexive bureaucratic processes is insufficient as an account of errors in complex public sector contexts, where algorithms operate jointly with other organizational work practices. To conceptualize such contexts, the article proposes that algorithms could be viewed as analogous to more traditional work routines in bureaucratic organizations. Doing so helps clarify that algorithmic irreflexivity becomes problematic when the coordination of routine work around automation fails. Thus, also the challenges of error management come to concern the wider context of organized work. This argument is illustrated using known examples from the critical literature on algorithms. Finally, drawing on recent studies in routine dynamics, the article formulates empirical research directions on error management in algorithmic systems.

The Relationship Between Preschool Teachers’ Proactive Personality and Innovative Behavior: The Chain-Mediated Role of Error Management Climate and Self-Efficacy

Objective: This study, aims to explore the relationship of error management climate and self-efficacy between preschool teachers’ proactive personality and innovative behavior.Methods: Four hundred thirty-nine preschool teachers were tested by proactive personality scale, error management climate scale, general self-efficacy scale, and employee innovation behavior scale.Results: Preschool teachers’ proactive personality can directly predict their innovative behaviors, has a significant indirect effect on innovative behaviors through error management climate, and has a significant indirect effect on innovative behaviors through self-efficacy. Error management climate and self-efficacy play a chain-mediated role in the relationship between preschool teachers’ proactive personality and innovative behavior.Conclusion: Error management climate and self-efficacy play a chain-mediated role in the relationship between preschool teachers’ proactive personality and innovative behavior.

The relationship between health IT characteristics and organizational variables among German healthcare workers

Health information technologies (HITs) are widely employed in healthcare and are supposed to improve quality of care and patient safety. However, so far, their implementation has shown mixed results, which might be explainable by understudied psychological factors of human–HIT interaction. Therefore, the present study investigates the association between the perception of HIT characteristics and psychological and organizational variables among 445 healthcare workers via a cross-sectional online survey in Germany. The proposed hypotheses were tested using structural equation modeling. The results showed that good HIT usability was associated with lower levels of techno-overload and lower IT-related strain. In turn, experiencing techno-overload and IT-related strain was associated with lower job satisfaction. An effective error management culture at the workplace was linked to higher job satisfaction and a slightly lower frequency of self-reported medical errors. About 69% of surveyed healthcare workers reported making errors less frequently than their colleagues, suggesting a bias in either the perception or reporting of errors. In conclusion, the study’s findings indicate that ensuring high perceived usability when implementing HITs is crucial to avoiding frustration among healthcare workers and keeping them satisfied. Additionally healthcare facilities should invest in error management programs since error management culture is linked to other important organizational variables.

Error recovery training literature review: Implications for emergency field medicine

Training focused on recognizing when a medical procedure has not been implemented effectively may reduce preventable battlefield deaths. Although important research has been conducted about a range of error recovery training strategies, few studies have been conducted in the context of training for high stakes, dynamic domains such as combat medic training. We conducted a literature review to examine how error recovery training has been designed in other contexts, with the intent of abstracting recommendations for designing error recovery training to support military personnel providing emergency field medicine. Implications for combat medic training include: 1) a focus on error management rather than error avoidance, 2) a didactic training component may support training engagement and mental model development, 3) an experiential component may be designed to support perceptual skill development and anomaly detection, and 4) feedback should focus on allowing learners to make errors and encouraging them to learn from errors.

Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design

Integrated process of human error management in human factors engineering (HFE) process provides a systematic direction for the design countermeasures development to prevent potential human errors. The process analyzes performance influence factors (PIFs) for crew failure modes (CFMs) and human failure events (HFEvs) in human reliability analysis (HRA). This paper provides applications of the process to the event evaluation for nuclear power plant design, especially PWR. In this application, the HRA/HFE integrated process had specified further detail for PIF attributes which had not been obtained in HRA, and showed further investigations to treat how operators induced their human errors through their cognitive task process in their work environment. This application showed effectiveness of the process in order to provide design countermeasures for preventing potential human errors occurrence based on the extensive PIFs and their error forcing context in HRA.