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Publication5-LB: A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving(American Diabetes Association, 2021)
;VERA LEHMANN ;MARTIN MARITSCH ;THOMAS ZUEGER ;ANDREAS MARXER ;CATERINA BÉRUBÉ ;MATHIAS KRAUS ;CAROLINE ALBRECHT ;STEFAN FEUERRIEGELCHRISTOPH STETTLERAim: To non-invasively detect hypoglycemia in individuals with type 1 diabetes (T1D) based on gaze behavior while driving. Methods: Controlled hypoglycemia was induced in 19 individuals (12 males, age 32 ± 7.1 yrs) with T1D (HbA1c 7.1 ± 0.6% [54 ± 6 mmol/mol]) using an adapted hypoglycemic clamp protocol. Gaze and blood glucose (BG) data were gathered while driving in a simulator during three 18 min sessions: session 1 (BG 90-144 mg/dL), session 2 (BG declining from 72 to 45 mg/dL), and session 3 (BG 36-45 mg/dL). A gradient-boosting machine learning (ML) model was built for hypoglycemia (BG < 70 mg/dL) detection based on gaze behavior. Results: Mean venous BG was 105.4 ± 11.4 mg/dL during session 1, declined from 61.4 ± 6.1 mg/dL to 47.2 ± 8.5 mg/dL during session 2, and was 42.7 ± 4.1 mg/dL during session 3, respectively. Gaze analysis provided 29,968 data samples (1,577.5 ± 52 per subject, 10,041 euglycemia, 19,927 hypoglycemia). Overall, ML achieved an area under the receiver-operating-characteristics curve of 0.83 ± 0.09 for hypoglycemia detection with leave-one-subject-out cross-validation. Conclusion: ML-based gaze analysis shows high accuracy in non-invasive hypoglycemia detection while driving. Our approach offers promising potential in various settings where cameras are available. -
PublicationA nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar( 2024)
;Johannes Hollenbach ;Malte Haring ;Volker Eric Amelung ;Sylvia ThunAlexander HaeringObjectives In 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country. Methods The model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding. Results The average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services. Conclusions The transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.Type: case review (law)Journal: Health Policy and TechnologyVolume: 13Issue: 4 -
PublicationType: case review (law)Journal: American journal of international lawVolume: 93Issue: 1
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für Zivilprozess- und ZwangsvollstreckungsrechtIssue: 17
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PublicationType: case review (law)Journal: Aktuelle Juristische PraxisVolume: 2Issue: 8
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PublicationType: case review (law)Journal: Aktuelle Juristische PraxisVolume: 1Issue: 9
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für Wirtschafts- und FinanzmarktrechtIssue: 4
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PublicationType: case review (law)Journal: Aktuelle Juristische PraxisVolume: 4/99
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PublicationType: case review (law)Journal: Aktuelle Juristische Praxis (AJP)Issue: 7
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für internationales und europäisches RechtIssue: 3
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PublicationType: case review (law)Journal: American journal of international lawVolume: 91Issue: 1
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für Zivilprozess- und ZwangsvollstreckungsrechtIssue: 17
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PublicationType: case review (law)Journal: Aktuelle Juristische PraxisVolume: 3Issue: 4
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PublicationType: case review (law)Journal: Aktuelle Juristische PraxisVolume: 2Issue: 9
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für internationales und europäisches RechtVolume: 10Issue: 3
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für internationales und europäisches RechtVolume: 8Issue: 3
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für internationales und europäisches RechtVolume: 6Issue: 3
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PublicationType: case review (law)Journal: Schweizerische Zeitschrift für internationales und europäisches RechtVolume: 7Issue: 4
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PublicationType: case review (law)Journal: SZIER : Schweizerische Zeitschrift für internationales und europäisches RechtVolume: 10Issue: 3