Broussardmartinez4009
The second version, evaluated by 16 patients, confirmed that the Visio reaches its objective of reducing isolation during hospitalization. This initiative is completely in line with the objective of the hospital of providing human centered care.
Multiple sclerosis (MS) is one of the world's most common neurologic disorders. Social media have been proposed as a way to maintain and even increase social interaction for people with MS. The objective of this work is to identify and compare the topics on Twitter during the first wave of COVID-19 pandemic.
Data was collected using the Twitter API between 9/2/2019 and 13/5/2020. SentiStrength was used to analyze data with the day that the pandemic was declared used as a turning point. Frequency-inverse document frequency (tf-idf) was used for each unigram and calculated the gains in tf-idf value. A comparative analysis of the relevance of words and categories among the datasets was performed.
The original dataset contained over 610k tweets, our final dataset had 147,963 tweets. After the 10th of march some categories gained relevance in positive tweets ("Healthcare professional", "Chronic conditions", "Condition burden"), while in negative tweets "Emotional aspects" became more relevant and "COVID-19" emerged as a new topic.
Our work provides insight on how COVID-19 has changed the online discourse of people with MS.
Our work provides insight on how COVID-19 has changed the online discourse of people with MS.Research on artificial intelligence (AI) for healthcare gained interest in recent years. However, the use of AI in daily clinical practice is still rare. We created and distributed an online survey among professionals working within the health informatics field to explore their views. The provided answers were classified into referring or not to 1) Application areas; 2) Medical specialities; 3) Specific technologies; 4) Use cases; 5) Citizens involvement; and 6) Challenges. We received 42 valid responses. With regard to the sentiment of the answers, 71,4% were classified by the AFINN tool as being positive. In light of the open question, 76,2% of the respondents referred to possible applications areas. They think the most frequent uses will be for diagnostic, decision making and treatment. 54,8% of respondents referred to use cases, being personalized care and daily practice the most popular scenarios. 28,6% mentioned citizens' involvement, and 23,8% medical specialities in which AI might be used. There is a mostly positive attitude towards the application of AI in healthcare, in particular regarding its future use for realising routine tasks. From these results, we conclude that research should further focus on realising AI-based applications for relieving health professionals from repetitive tasks and optimize healthcare processes.Alzheimer Care Trainer (ACT) is an interactive narrative simulation for caregivers of patients with Alzheimer's disease. It aims to support family caregivers by letting them practice difficult situations of daily life in a training environment. see more In order to ensure its accessibility to its target audience, which may be unfamiliar with new technologies, we have created a tutorial. The aim of the tutorial is to teach users the main mechanics of the simulation. Considered to be an introductory level to ACT, it is built in 2 parts, a dirigiste first part and an exploratory, second part. Several tutorial elements, such as context-sensitive information or a help page, have been integrated. The evaluation of the tutorial by 14 participants revealed that interaction mechanics were well understood although the state of the visual element remains confusing. Generated positive affects were stronger than the negative ones and most of the participants were confident to play the game after the tutorial. Ensuring accessibility to all populations is essential especially when targeting seniors. A well-conceived tutorial has the potential to familiarize users with our intervention, reducing the risk of excluding people that could benefit from it.Diabetes self-management, an integral part of diabetes care, can be improved with the help of digital self-management tools such as apps, sensors, websites, and social media. The study objective was to reach a consensus on the criteria required to assess and recommend digital diabetes self-management tools targeting those with diabetes in Norway. Healthcare professionals working with diabetes care from all health regions in Norway were recruited to participate in a three-round Delphi study. In all rounds, the panellists rated criteria identified in a systematic review and interviews on a scale from 0-10, with the option to provide comments. On a scale of 0not important to 10extremely important, the highest rated criteria for assessing and recommending digital diabetes self-management tools were "Usability" and "Information quality", respectively. For assessing apps, "Security and privacy" was one of the lowest rated criteria. Having access to a list of criteria for assessing and recommending digital self-management tools can help diabetes care stakeholders to make informed choices in recommending and choosing suitable apps, websites, and social media for self-management. Future work on quality assessment of digital health tools should place emphasis on security and privacy compliance, to enable diabetes care stakeholders focus on other relevant criteria to recommend or choose and use such tools.This article aims to support the design of remote user studies in the healthcare and well-being field. We introduce lessons learned from conducting remote interviews and using visual timelines as pretasks involving patients from two eHealth projects. Based on our experience, we conclude that remote interviews and visual timelines can provide rich data about user needs. However, careful planning is required. Building trust, rapport, confidentiality, and privacy requires extra effort from the researcher in studies involving sensitive topics. In this paper, we present a list of practical tips for planning qualitative health-related user studies.
