I am Not an Object: Reframing 3D Body Scanning for Co-Design

Mironcika, Svetlana; Hupfeld, Annika; Frens, Joep; Wensveen, Stephan

doi:10.1145/3313831.3376352

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…In both locations, these components underwent testing in four co-design sessions (a participatory and collaborative group session that directly engages users in the design process). 21 Subsequently, this iterative process resulted in a design proposal for integrating a data-driven algorithm into a vital signs monitoring system for LRS. Finally, lessons learned were summarised in preimplementation recommendations.…”

Section: Study Procedures and Data Analysismentioning

confidence: 99%

Cautiously optimistic about data-driven algorithms in paediatric critical care, nurses’ perspectives in low-resource settings: a pre-implementation and human-centred design study in Malawi

Rakers,

Mwale,

de Mare

et al. 2024

Preprint

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Introduction Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that integrate monitor and clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design and workflow integration are important factors hindering successful implementation. This study aims to explore nurses' perspectives to inform the development of a data-driven algorithm and user-friendly interface for future integration into a continuous monitoring system for critical care in LRS. Methods Human-centred design methods, including contextual inquiry, semi-structured interviews, and co-design sessions, were carried out at the high-dependency units of Queen Elizabeth Central Hospital and Zomba Central Hospital in Malawi. Triangulating these methods, and employing qualitative content analysis principles, we identified what algorithm could assist nurses and used co-creation methods to design a user interface prototype. Results Workflow observations demonstrated the effects of personnel shortages and limited monitor equipment availability for vital sign monitoring. Interviews emphasised the advantages of predictive algorithms in anticipating deterioration, underlining the need to integrate the algorithm’s output, the (constant) monitoring data, and the patient's present clinical condition. Nurses preferred a scoring system represented with familiar scales and colour codes. During co-design sessions, trust, usability and context specificity were emphasized as requirements for these algorithms. Four prototype components were examined, with nurses favouring explainable and transparent scores represented by colour codes and visual representations of score changes. Conclusions Nurses in LRS perceive that data-driven algorithms, especially for predicting patient deterioration, could improve the provision of critical care. This can be achieved by translating nurses' perspectives into design strategies, as has been carried out in this study. The lessons learned are summarised as actionable pre-implementation recommendations for the development and implementation of data-driven algorithms in LRS.

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Section: Study Procedures and Data Analysismentioning

confidence: 99%

Cautiously optimistic about data-driven algorithms in paediatric critical care, nurses’ perspectives in low-resource settings: a pre-implementation and human-centred design study in Malawi

Rakers,

Mwale,

de Mare

et al. 2024

Preprint

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“…Challenges are deeply rooted in the variability of body shapes (Griffin, Compton, and Dunne 2016). Additionally, the process of reading the body should carefully consider user experiences and users' willingness to share own private bodyrelated data with designers (Mironcika et al 2020). Yet, new opportunities include using images to create body sizes (Mok and Zhu 2018) and convert these into digital fabrication (Hong et al 2018).…”

Section: Service Challengesmentioning

confidence: 99%

Designing ultra-personalized product service systems

et al. 2020

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Codesign and related terms, including co-production or co-creation, refer to research approaches to design new care interventions or care improvements that engage end-users, health care staff, and related advocacy groups in an equal collaboration [8]. Originating from communitybased participatory design, co-design allows for immersive, reflective feedback from the user throughout the entirety of a project, from conceptualization to consultation [9]. The aim of engaging end-users in research is to ensure that research results can be meaningful, relevant, and useful to the population they intend to benefit [10,11].…”

Section: Introductionmentioning

confidence: 99%

Understanding the use of co-design methods for research involving older adults living with HIV: A scoping review protocol

Brown,

Singh,

et al. 2024

PLoS ONE

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There is a growing population of adults aged 50 years or older living with HIV, facing unique challenges in care due to age, minority status, and stigma. Co-design methodologies, aligning with patient-centered care, have potential for informing interventions addressing the complex needs of older adults with HIV. Despite challenges, co-design has shown promise in empowering older individuals to actively participate in shaping their care experiences. The scoping review outlined here aims to identify gaps in existing co-design work with this population, emphasizing the importance of inclusivity based on PROGRESS-Plus characteristics for future patient-oriented research. This scoping review protocol is informed by the Joanna Briggs Institute Manual to explore co-design methods in geriatric HIV care literature. The methodology encompasses six stages: 1) developing research questions, 2) creating a search strategy, 3) screening and selecting evidence, 4) data extraction, 5) data analysis using content analysis, and 6) consultation with key stakeholders, including community partners and individuals with lived experience. The review will involve a comprehensive literature search, including peer-reviewed databases and gray literature, to identify relevant studies conducted in the past 20 years. The inclusive criteria focus on empirical data related to co-design methods in HIV care for individuals aged 50 or older, aiming to inform future research and co-design studies in geriatric HIV care. The study will be limited by the exclusion of papers not published or translated to English. Additionally, the varied terminology used to describe co-design across different research may result in the exclusion of articles using alternative terms. The consultation with key stakeholders will be crucial for translating insights into meaningful co-design solutions for virtual HIV care, aiming to provide a comprehensive synthesis that informs evidence-based strategies and addresses disparities in geriatric HIV care.

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I am Not an Object: Reframing 3D Body Scanning for Co-Design

Cited by 8 publications

References 14 publications

Cautiously optimistic about data-driven algorithms in paediatric critical care, nurses’ perspectives in low-resource settings: a pre-implementation and human-centred design study in Malawi

Cautiously optimistic about data-driven algorithms in paediatric critical care, nurses’ perspectives in low-resource settings: a pre-implementation and human-centred design study in Malawi

Designing ultra-personalized product service systems

Understanding the use of co-design methods for research involving older adults living with HIV: A scoping review protocol

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