Publications by authors named "Romaric Marcilly"

Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability and actionability of AI systems, particularly in healthcare. The SAD XAI Dashboard, a clinical decision support (CDS) tool for sepsis-associated delirium (SAD), assists physicians in understanding AI-driven predictions for SAD. Our study aimed to evaluate the XAI dashboard's compliance with an XAI usability heuristics checklist.

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Despite the growing importance of Usability and User eXperience (U/UX) methods in healthcare technology, significant barriers hinder their effective application. We performed a narrative review to identify existing knowledge and uncover gaps to suggest actionable steps for improving adoption of U/UX methods. Results highlight that usability issues persist due to inconsistent definitions within the discipline, debate over methods, and limited involvement of end-users in evaluations.

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Patient care involves multiple healthcare professionals and carries inherent risks. Addressing human factors is essential to mitigating these risks and improving professional practices. Cognitive aids are one strategy to standardize tasks based on clinical guidelines.

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Simulations are often used in medical education to practice developing skills in low-stakes situations. We created a telemedicine simulation for residents in obstetrics, gynaecology, and family medicine to teach best practices in telehealth care. We wrote a case of a patient with gestational hypertension that tested resident performance in eight published telehealth competencies.

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External validity is the extent to which the findings of an experimental study are applicable or can be generalized to other people and contexts. External validity includes both population validity (i.e.

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Medical educators frequently use simulations with standardised patients in their curriculum to expose learners to high-stakes scenarios in a safe, monitored context. It can be challenging to ensure a standardised experience for learners and provide consistent opportunities for faculty to measure competencies before piloting with target learners. We, therefore, designed a mixed-methods evaluation instrument based on our work conducting usability tests with health information technologies.

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The SAPHARI ("Home-based Nurse Intervention in the Care of High-Risk-of-Death Patients after Discharge from a Geriatric Department") prospective, multicenter, randomized, controlled, open-label study has been designed to evaluate the effectiveness of implementing advance care planning (ACP) in older patients at a high risk of death. Patients aged 75 or over, at a high risk of death (according to the DAMAGE prognostic score) and discharged alive to home or to a nursing home from an acute geriatric unit will be included and followed up for 12 months. We plan to randomize 104 patients into a control group or an intervention group.

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Background: Telemedicine has emerged rapidly as a novel and secure tool to deliver medical information and prescriptions. A secure, connected health care app (WiStim) has been developed in order to facilitate dialogue between patients and the medical team during an ovarian stimulation cycle for medically assisted reproduction (MAR).

Objective: This study aimed to evaluate the patients' and midwives' levels of satisfaction with the connected mobile app.

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Introduction: Type 2 diabetes is a chronic condition associated with impaired glucose tolerance and a high prevalence of comorbidity, polypharmacy and medication safety incidents. Little is known about the patient work associated with using diabetes management technologies by patients and their informal caregivers at home. This study aims to apply a systems engineering approach to better understand this work.

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Background: Clinical decision support systems (CDSSs) enable the automated, real-time detection of situations associated with a risk of adverse drug events (ADEs). However, the effectiveness of CDSS in reducing ADEs has yet to be demonstrated. We have chosen to focus on the detection of ADE such as hyperkalemia and/or acute kidney injury (AKI), which are common among hospitalized older adults.

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Background And Objective: The increasing implementation and use of electronic health records over the last few decades has made a significant volume of clinical data being available. Over the past 20 years, hospitals have also adopted and implemented data warehouse technology to facilitate the reuse of administrative and clinical data for research. However, the implementation of clinical data warehouses encounters a set of barriers: ethical, legislative, technical, human and organizational.

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Application of usability evaluations throughout the health technology lifecycle is necessary to improve the efficiency, safety, and effectiveness of health service delivery. Unfortunately, technology vendors and healthcare organizations may not have funding, time or expertise to conduct usability studies. In this paper, we describe how usability checklists can potentially fill this gap.

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Background: The ecological validity associated with usability testing of health information technologies (HITs) can affect test results and the predictability of real-world performance. It is, therefore, necessary to identify conditions with the greatest effect on validity.

Method: We conducted a comparative analysis of two usability testing conditions.

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The regulations on summative usability evaluations of medical devices (MDs) emphasize that the test environment must have sufficient ecological validity for generalization to real-life use. Here, we examined the influence of environmental fidelity (a component of ecological validity) on the detectability of MD use errors. A total of 140 participants participated in a summative usability evaluation of an anaphylactic shock auto-injector device under either a high-fidelity condition or a condition acceptable from the manufacturer's perspective, lower-fidelity condition.

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Objectives: To offer diverse but complementary perspectives on how biomedical and health informatics can be informed by and help to achieve the vision of One Health.

Methods: Overview of key considerations and critical discussion of common themes, barriers and opportunities, based on collaborative review by International Medical Informatics Association (IMIA) working group members active in related fields.

Results: Health and care systems are complex sociotechnical systems that need explicit design and implementation strategies to align with the goals of One Health.

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Healthcare is increasingly delivered closer to the patients' homes, which increases the level of responsibility that patients and informal carers take for managing their medication-taking, although this is associated with hazards. Medication self-management has been conceptualised as work taking place in non-formal settings ( , households), which are complex systems. Human factors and ergonomics (HFE) models provide a framework for studying such systems.

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Medical Informatics brings methods and solutions that could support reducing healthcare's ecological footprint. Initial frameworks for Green Medical Informatics solutions are available, however these do not address organizational and human factors. Including these factors in evaluation or analysis of (technical) interventions aimed at making healthcare more sustainable, is essential for improving usability as well as effectiveness of these interventions.

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The DetecIP project aims to implement multifactorial dynamic rules within a computerized decision support system (CDSS) for pharmaceutical analysis of orders to reduce the rate and severity of iatrogenic hyperkalemia and acute kidney injury. However, understanding the impact of this intervention (if any) requires that the way in which it influences the work systems and processes also be studied. This study presents the preliminary results of the analysis of the work contexts in which these rules will be implemented.

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Follow-up of patients with type 2 diabetes mellitus (T2DM) involves several healthcare professionals. The quality of their communication is crucial for optimizing care. This exploratory work aims to characterize those communications and their problems.

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Objective: Two tools are currently available in the literature to evaluate the usability of medication alert systems, the instrument for evaluating human factors principles in medication-related decision support alerts (I-MeDeSA) and the tool for evaluating medication alerting systems (TEMAS). This study aimed to compare their convergent validity, perceived usability, usefulness, strengths, and weaknesses, as well as users' preferences.

Method: To evaluate convergent validity, two experts mapped TEMAS' items against I-MeDeSA's items with respect to the usability dimensions they target.

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Marginalised people experience diminished access to pharmaceutical care and worse medication-related outcomes than the general population. Health equity is a global priority. This article explores the key evidence of health inequity and medication use, structures the causes and contributory factors and suggests opportunities that can be taken to advance the pharmaceutical care agenda so as to achieve health equity.

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Purpose: To reduce the risk of dehydration in older adults, the French company Auxivia has developed a smart drinking glass (SDG) that can measure the amount of water drunk. The present study looked at the various work systems (WSs) designed for use of the SDG in a nursing home. The study's objectives were to (i) determine the WSs' impact on the staff's ability to comply with the device's prerequisites and ensure the device's effective use and (ii) draw up guidelines on designing work systems.

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Introduction: Health care information systems can generate and/or record huge volumes of data, some of which may be reused for research, clinical trials, or teaching. However, these databases can be affected by data quality problems; hence, an important step in the data reuse process consists in detecting and rectifying these issues. With a view to facilitating the assessment of data quality, we developed a taxonomy of data quality problems in operational databases.

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Background: Computerized decision support systems (CDSSs) help hospital-based clinical pharmacists to perform medication reviews and so are promising tools for improving medication safety. However, their poor usability can reduce effectiveness and acceptability.

Objectives: To evaluate the usability and perceived usefulness of a CDSS for medication review by hospital-based pharmacists and to draw up guidelines on improving its usability.

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