Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms

Bond, Raymond; Novotný, Tomáš; Andršová, Irena; Koc, Lumír; Šišáková, Martina; Finlay, Dewar; Guldenring, Daniel; McLaughlin, James; Peace, Aaron; McGilligan, Victoria; Leslie, Stephen J; Wang, Hui; Malik, Marek

doi:10.1016/j.jelectrocard.2018.08.007

Cited by 74 publications

(46 citation statements)

References 16 publications

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“…Such an algorithm could be implemented into a computerised ECG machine and a certainty index could be displayed alongside the suggested diagnosis. Other ways to help counter automation bias could include the use of touch-screen technology to provide a more user-friendly interface and provide prompts alongside a clinical decision tool to augment decision making [16].…”

Section: Discussionmentioning

confidence: 99%

Zinc-induced activation of GPR39 regulates glucose homeostasis through glucose-dependent insulinotropic polypeptide secretion from enteroendocrine K-cells

Moran

Miskelly

Abdel-Wahab

et al. 2019

Biological Chemistry

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The role of Zn2+-sensing receptor GPR39 on glucose homeostasis and incretin regulation was assessed in enteroendocrine L- and K-cells. Anti-hyperglycaemic, insulinotropic and incretin secreting properties of Zn2+ were explored in normal, diabetic and incretin receptor knockout mice. Compared to intraperitoneal injection, oral administration of Zn2+ (50 μmol/kg body weight) with glucose (18 mmol/kg) in lean mice reduced the glycaemic excursion by 25–34% (p < 0.05–p < 0.001) and enhanced glucose-induced insulin release by 46–48% (p < 0.05–p < 0.01). In diabetic mice, orally administered Zn2+ lowered glucose by 24–31% (p < 0.01) and augmented insulin release by 32% (p < 0.01). In glucagon like peptide-1 (GLP-1) receptor knockout mice, Zn2+ reduced glucose by 15–28% (p < 0.05–p < 0.01) and increased insulin release by 35–43% (p < 0.01). In contrast Zn2+ had no effect on responses of glucose-dependent insulinotropic polypeptide (GIP) receptor knockout mice. Consistent with this, Zn2+ had no effect on circulating total GLP-1 whereas GIP release was stimulated by 26% (p < 0.05) in lean mice. Immunocytochemistry demonstrated GPR39 expression on mouse enteroendocrine L- and K-cells, GLUTag cells and pGIP/Neo STC-1 cells. Zn2+ had a direct effect on GIP secretion from pGIPneo STC-1 cells, increasing GIP secretion by 1.3-fold. GPR39 is expressed on intestinal L- and K-cells, and stimulated GIP secretion plays an integral role in mediating enhanced insulin secretion and glucose tolerance following oral administration of Zn2+. This suggests development of potent and selective GPR39 agonists as a therapeutic approach for diabetes.

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Section: Discussionmentioning

confidence: 99%

Zinc-induced activation of GPR39 regulates glucose homeostasis through glucose-dependent insulinotropic polypeptide secretion from enteroendocrine K-cells

Moran

Miskelly

Abdel-Wahab

et al. 2019

Biological Chemistry

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“…Once ADMS have the ability to make qualitative decisions, the risk of giving power to ADMS to judge what is our 'real' self and deciding what we really want, our autonomy is jeopardized, our capacities are blocked and we are less free. 3 To protect our freedom from ADMS taking control of who we are and what we do, we must retain the exercise of self-realization. Through self-understanding and self-reflection, ADMS remain as tools performing specific tasks that we, as self-reflecting humans, have decided will contribute towards the autonomous exercise of our self-realization.…”

Section: Freedom 31 An Exercise Conceptmentioning

confidence: 99%

“…It exists when humans over-rely on automation to complete a task complacently because it requires minimal effort or they believe the ADMS have superior intelligence. [3](44) An ADMS outcome would be accepted without validating against data bias, what is not taken into account, and the prediction's optimization constraints. The psychological status bestowed on ADMS contributes to complacency bias.…”

Section: Biasmentioning

confidence: 99%

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How Freedom is Undermined by Advanced Technology and What to Do About It

Weger¹

2019

Proceedings of the 31st European Conference on Cognitive Ergonomics

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This paper will provide a three-part analysis to demonstrate that automated decision-making systems (ADMS), representing advanced technologies, can and do undermine our freedom. The analysis will assess their impact on our freedom with three perspectives of how freedom can be defined. Based on each perspective, the paper will address how the encroachment to our freedom can be mitigated, preserved or regained.The three-part analysis will focus on Charles Taylor's concept of having autonomy to exercise control over one's life; interference from the perspective of Philip Pettit's concept of dominationantipower and Sharon Krause's framing of the socially distributed character of human agency and how technological and human bias impacts freedom. This layered analysis captures the complex impact advanced technologies have on our freedom.

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“…Data fusion can also be applied to implantable devices to generate data telemetry systems [36] with patient profiles [37]. Decision trees [38], support vector machine, neural networks [39], uncertainty index [40] and hybrid intelligent systems consisting of fuzzy logic and genetic algorithms [41] have been employed as classification approaches for data fusion in medicine. Decision tree classifiers were used to build a classification model in the form of a tree from the patient biomarker data [42].…”

Section: Introductionmentioning

confidence: 99%

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers

et al. 2020

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Background To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on the fusion of multi-biomarker data; glucose, lactate, pH, potassium, and oxygen tension, to serve as a patient-specific attribute in hemorrhagic trauma. Materials and methods One hundred instances of Sensible Fictitious Rationalized Patient (SFRP) data were synthetically generated and the HISS score assigned by five clinically active physician experts (100 [5]). The HISS score stratifies the criticality of the trauma patient as; low(0), guarded(1), elevated(2), high(3) and severe(4). Standard classifier algorithms; linear support vector machine (SVM-L), multi-class ensemble bagged decision tree (EBDT), artificial neural network with bayesian regularization (ANN:BR) and possibility rule-based using function approximation (PRBF) were evaluated for their potential to similarly classify and predict a HISS score. Results SVM-L, EBDT, ANN:BR and PRBF generated score predictions with testing accuracies (majority vote) corresponding to 0.91 ± 0.06, 0.93 ± 0.04, 0.92 ± 0.07, and 0.92 ± 0.03, respectively, with no statistically significant difference (p > 0.05). Targeted accuracies of 0.99 and 0.999 could be achieved with SFRP data size and clinical expert scores of 147[7](0.99) and 154[9](0.999), respectively. Conclusions The predictions of the data-driven model in conjunction with an adjunct multi-analyte biosensor intended for point-of-care continual monitoring of trauma patients, can aid in patient stratification and triage decision-making.

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Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms

Cited by 74 publications

References 16 publications

Zinc-induced activation of GPR39 regulates glucose homeostasis through glucose-dependent insulinotropic polypeptide secretion from enteroendocrine K-cells

Zinc-induced activation of GPR39 regulates glucose homeostasis through glucose-dependent insulinotropic polypeptide secretion from enteroendocrine K-cells

How Freedom is Undermined by Advanced Technology and What to Do About It

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers

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