Measuring the Quality and Impact of 3D Medical Printing in Surgical Planning, Procedures and Communications using Product Usefulness Surveys

3D printing is an essential technology for clinical decision making, affording significant improvements over conventional imaging alone. Product usefulness surveys offer potential in measuring the quality and impact of 3DP to assist clinical decision making and patient communication. A narrative literature review (Scoping Review articles only) frames the benefits and limitations of 3D print surgical workflow and user experiences. A usability survey was co-designed with a company to measure the impact of their 3D prints on surgical practice and secondary data analysis was conducted of to understand the effectiveness and usefulness of the technology in a real-world healthcare setting. Three categories of usefulness and relevance were identified. High value relevance (positive Likert scores over 70%) related to pre-operative planning, clinical communication, and the value of the technology. Moderate scores (50% to 69%) related to time saving with pre-operative surgery, and effectiveness of patient care and diagnosis. Minor relevance (less than 50%) included direct cost savings, physical resource efficiencies, time in intra-operative surgery, or intra-operative risks. This research considers 3D printings relationship to medical error prevention, limitations and future recommendations for usability surveys of this type and it identified issues around gender inclusion in Design for Health research

Medical Device User Experience: The Device Users' Perspective

Human factors in medical device design specify three aspects for consideration: the device user, device interface and context of use. The device users should be involved throughout the design of medical devices undertaking any of three roles as an informer, a validation consultant, or an active design member. This survey research highlights the perceptions of healthcare professionals and consumer citizens on the user experience of medical devices. This is achieved by collecting views on the various aspects of user experience, lived experiences, and level of engagement afforded to the user groups during device design and development

Chatbots to Support Mental Wellbeing of People Living in Rural Areas: Can User Groups Contribute to Co-design?

Digital technologies such as chatbots can be used in the field of mental health. In particular, chatbots can be used to support citizens living in sparsely populated areas who face problems such as poor access to mental health services, lack of 24/7 support, barriers to engagement, lack of age appropriate support and reductions in health budgets. The aim of this study was to establish if user groups can design content for a chatbot to support the mental wellbeing of individuals in rural areas. University students and staff, mental health professionals and mental health service users (N = 78 total) were recruited to workshops across Northern Ireland, Ireland, Scotland, Finland and Sweden. The findings revealed that participants wanted a positive chatbot that was able to listen, support, inform and build a rapport with users. Gamification could be used within the chatbot to increase user engagement and retention. Content within the chatbot could include validated mental health scales and appropriate response triggers, such as signposting to external resources should the user disclose potentially harmful information or suicidal intent. Overall, the workshop participants identified user needs which can be transformed into chatbot requirements. Responsible design of mental healthcare chatbots should consider what users want or need, but also what chatbot features artificial intelligence can competently facilitate and which features mental health professionals would endorse

Three-loop HTL gluon thermodynamics at intermediate coupling

We calculate the thermodynamic functions of pure-glue QCD to three-loop order using the hard-thermal-loop perturbation theory (HTLpt) reorganization of finite temperature quantum field theory. We show that at three-loop order hard-thermal-loop perturbation theory is compatible with lattice results for the pressure, energy density, and entropy down to temperatures $T\simeq3\;T_c$. Our results suggest that HTLpt provides a systematic framework that can used to calculate static and dynamic quantities for temperatures relevant at LHC.Comment: 24 pages, 13 figs. 2nd version: improved discussion and fixing typos. Published in JHE

Insights and lessons learned from trialling a mental health chatbot in the wild

This study reports on the development and 'in the wild' trialling of a chatbot (ChatPal) which promotes good mental wellbeing. A stakeholder-centered approach for design was adopted where end users, mental health professionals and service users were involved in the design which was centered around positive psychology. In the wild usage of the chatbot was investigated from Jul-20-Mar-21. Exploratory analyses of usage metrics were carried out using the event log data. User tenure, unique usage days, total chatbot interactions and average daily interactions were used in K-means clustering to identify user archetypes. The chatbot was used by a variety of age groups (18-65+) and genders, mainly those living in Ireland. K-means clustering identified three clusters: sporadic users (n=4), frequent transient users (n=38) and abandoning users (n=169) each with distinct usage characteristics. This study highlights the importance of event log data analysis for making improvements to the mental health chatbot.</p