Tind Technologies (Norway)
Hes-so: ArODES Open Archive (University of Applied Sciences and Arts Western Switzerland / Haute école spécialisée de Suisse occidentale / FH Westschweiz)Not a member yet
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Methodology for the World Council of Enterostomal Therapists® International Ostomy Guideline third edition
No full textIntroduction : The International Ostomy Guideline (IOG) developed by the World Council of Enterostomal Therapists (WCET®) is currently being updated with the newest evidence to produce the third edition. The IOG presents clinical guidance to promote access to holistic stomal care, reduce stoma-associated complications, improve knowledge of health professionals regarding stomal care, and to optimise quality of life of individuals living with a stoma. Methods : The guideline development process is being undertaken by a Guideline Development Panel consisting of representatives of WCET® and its collaborative partner, the International Society of University Colon and Rectal Surgery (ISUCRS). The development methods are underpinned by the Joanna Briggs Institute’s (JBI) theoretical framework of evidence-based care. The methodology embeds a rigorous process that includes generation of relevant clinical questions, evidence identification, critical appraisal of the research and use of adapted Evidence-to-Decision : frameworks to reach evidence-based recommendations and good practice statements agreed on by an expert panel through a Delphi process. The methods include engagement from international stomal therapists, colorectal surgeons and individuals living with a stoma. The guideline development process addresses the key components of the JBI evidence-based model: global health, evidence generation, evidence synthesis, evidence transfer and evidence implementation. Results : The guideline will present evidence-based recommendations and good practice statements providing practical clinical guidance for the care of individuals who are to undergo, or who have undergone, ostomy surgery. Input from the WCET® Executive Board, WCET® Education Committee, Norma N Gill Foundation® WCET® International Delegates (IDs), the ISUCRS Education Committee, individuals living with an ostomy and broad stakeholder feedback will enhance the guideline recommendations. Conclusion : Developed using a rigorous methodology and with input from international experts and individuals living with a stoma, the WCET® IOG third edition embraces the JBI aim of healthcare that is globally-relevant, feasible, appropriate, meaningful and effective
Ateliers - travail sur les sources imprimées des œuvres avec alto de Rebecca Clarke, 17 octobre 2022
No full textUnderstanding artificial intelligence ::barriers and potential in wound care
No full textThe global wound burden is rising at an alarming pace due to increases in the ageing population and comorbidities and complications, such as obesity, diabetes and complex surgeries (Sen, 2021; Chen et al, 2024; Reifs et al, 2025). The World Health Organization (WHO) estimates there will be a global shortage of 18 million healthcare professionals (HCPs) by 2030 (WHO, 2016) to deliver care. To address these increasingly complex challenges, it is crucial to improve efficiency of healthcare systems, clinician education and consistency of wound care standards (The King’s Fund, 2018; Sen, 2021; Gould and Herman, 2025).
Within healthcare, artificial intelligence (AI) has emerged as a promising solution to several of these challenges with demonstrated improvements in diagnosis and treatment efficiency and clinician education, and productivity (Chen et al, 2024; Rippon et al, 2024). AI promises to replicate aspects of clinician experience and intelligence and can prove to be a useful tool in increasing the scale and speed of appropriate care provision (Bajwa et al, 2021; Rippon et al, 2024). AI has the potential to encompass all aspects of wound care and clinician education and training, including wound and risk assessment, healing prediction (e.g. by assessing patient comorbidities and social and psychological factors) and delivery of evidence-based, tailored treatment (Rippon et al, 2024; Reifs et al, 2025).
The aim of this consensus is to highlight for wound care clinicians and allied healthcare associates the multidimensional potential of AI, especially for chronic and/or complex wounds. A central theme of this consensus is to highlight the crucial role that wound care clinicians will need to play in implementing AI. It is only natural that some clinicians may be wary of the impact of AI on their job security. In this publication, we strive to dispel this myth and highlight that clinicians’ satisfaction with AI can only improve with a better understanding of what AI is and how it can be an addition to their toolbox. The expert panel also provide examples of implementing AI in their own wound care practices and share their learnings of improved outcomes, current barriers and areas of future need.
This consensus is not intended as a reference for highly technical AI terminology. Instead, the goal is to simplify the overwhelming amount of AI information for wound care clinicians, presenting key concepts in accessible language. We aim to help clinicians of all experience levels understand the implications and unmet needs in AI-driven wound care, empowering them to navigate their role in this rapidly evolving field.
Educating and preparing clinicians for the disruptive potential of AI is the first step towards creating effective, replicable, equitable and safe wound care systems that are increasingly needed for addressing the rising global wound care burden
Exploring the portability of ML-based lightning nowcasting models
No full textSignificant damages caused by lightning can be avoided by predicting lightning and taking precautionary measures. Here, a machine learning model is developed to nowcast lightning flashes using dew point temperature, precipitation, wind speed, wind direction, and previous lightning flashes. The model is trained using data from seven weather stations in Switzerland. The model demonstrates promising performance, achieving an F1 score ranging from 0.70 to 0.76. The main objective is to assess the portability of nowcasting models, by training them in one location and evaluating them in another. The goal is to develop a Machine Learning model that can be applied in regions lacking historical atmospheric measurements. The study reveals that the models generally perform well, with only a minor drop in performance in most cases (6% drop in the F1 score). However, in two cases involving mountainous terrain and tall structures, a significant drop is observed when a dataset was tested with models trained on other regions. Based on the findings, we recommend that for regions with complex topography (e.g., mountainous terrain) and/or tall structures (e.g, wind turbine parks), lightning nowcasting models should be trained on region-specific data, rather than relying on general-purpose forecasters
Looking for cues over time ::a study on self-initiated monitoring in event-based and time-based prospective memory
No full textProspective memory (PM) is the ability to remember to perform an intended action in the future. In everyday life, people often have contextual information (e.g., the presence of cues) to support the completion of their PM tasks. The present study aimed to investigate how context (as probability of PM cue occurrence over time) and predictability affect PM. In two experiments, participants performed a laboratory PM task having the possibility to check the probability of the next PM cue occurrence whenever they wished; PM cue probability was manipulated to be temporally informative (predictable) or uninformative (unpredictable) on the actual PM cue occurrence. Both experiments showed that PM accuracy and cost on ongoing task performance increased with the presence of contextual information. Experiment 2 showed that this effect was independent of cue focality for PM accuracy but not for PM cost, for which the effect of context was particularly strong for non-focal compared to focal cues. Participants monitored the PM cue with uniform frequency over time, regardless of the context's predictability, and checked the probability of PM cue occurrence more often when the cue was non-focal compared to focal. This study showed the importance of contextual information in PM, highlighting the capacity of people to adapt the allocation of attentional resources systematically over time to optimize strategic monitoring and, in turn, PM performance
Persistent inspiratory muscle weakness among extubated patients after prolonged intubation is frequent and can be predicted early by maximal inspiratory pressure measured 12 days after its initial diagnosis ::a prospective observational study
No full textBackground : Prolonged mechanical ventilation (MV) frequently results in inspiratory and peripheral muscle weakness, impairing recovery. These conditions can be identified at the bedside using respectively Maximal Inspiratory Pressure (MIP) measurement and Medical Research Council (MRC) score. This study investigated the evolution over the acute-care hospital stay of MIP and MRC score in patients with documented post-extubation inspiratory muscle weakness (IMW), defined as MIP ≤ 30 cmH2O, and looked for the factors associated with persistent IMW at the end of the acute care hospital stay. Method : This exploratory prospective observational study was conducted across five Swiss hospitals. Patients in the Intensive Care Unit (ICU) who were extubated after ≥ 7 days of MV, with IMW diagnosed within 48 h post planned extubation, were included. Patients’ characteristics and ICU-related factors were recorded throughout the acute care stay as were MIP and MRC score. ICU-acquired weakness (ICU-AW) recorded in the medical file, ICU readmission, reintubation, and hospital mortality were also documented. Descriptive statistics and linear interpolation for missing MIP data were applied, and associations with persistent IMW (MIP ≤ 30 cmH2O) at study completion were explored using univariable logistic regression. The optimal timepoint for predicting persistent IMW using MIP was identified using a random forest model. Results : Sixty-nine patients (48 men, 21 women) completed the study. At study completion, persistent IMW was observed in 30 patients (43%), with a median MIP of 22 [13–24] cmH2O. MIP was of 44 [36–64] in patients without persistent IMW. Persistent IMW was positively associated in univariable logistic regression with female sex, duration of catecholamine use until inclusion, MIP at day 12, MRC score at day 12 and changes in MIP from inclusion to day 12. The presence of respiratory comorbidities was negatively associated with persistent IMW. Conclusion : Persistent IMW following prolonged MV is frequent throughout the acute care stay and until acute care hospital discharge. The MIP measured at day 12 after inclusion, as well as its change from inclusion to day 12, were strongly associated with persistent IMW
Framing energy sufficiency in a swiss mountain resort
No full textThis article analyses how energy sufficiency can be applied in tourism destinations. It begins by highlighting the importance of decarbonizing tourism for climate action, given the sector’s high CO2 emissions. Energy sufficiency, a key pillar of the energy transition, is defined as the voluntary reduction in energy demand within climate and CO2 emission constraints. The study investigates how stakeholders interpret and frame this concept, by focusing on strategies that align with the public image of the resort to reduce its energy requirements. The methodology includes semi-structured interviews with key players in Verbier—Val de Bagnes, focus groups with cooperation partners, participant observations at local meetings and events, and analysis of local documentation. Research was undertaken using living lab methods. The results reveal five main categories and eleven subcategories in which local stakeholders frame sufficiency, including oppositional framings, off-framings, selective framings, institutional framings, and disempowering framings. The article concludes with recommendations to reframe sufficiency in order to align with the destination’s strategy and representations. While energy sufficiency is often overshadowed by narratives of economic growth, technological innovation, and material abundance, it appears crucial to reframe these narratives and integrate post-growth strategies that prioritize sustainability in tourism planning
Le réemploi, une pédagogie avant d'être une pratique
No full textAu cours des trois dernières années, un séminaire pratique consacré au réemploi a été proposé par la HEIA Fribourg aux étudiants du Joint master of Architecture (JMA). Chacune des éditions, différente dans sa formulation et ses objectifs, a exploré le sujet du réemploi et les questions qu’il soulève en s’appuyant sur l’outil d’expérimentation qu’est la halle PopUp