scholarly journals Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers

2021 ◽  
Vol 3 ◽  
Author(s):  
Clare Rainey ◽  
Tracy O'Regan ◽  
Jacqueline Matthew ◽  
Emily Skelton ◽  
Nick Woznitza ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Further Education ◽  
Free Text ◽  
Snowball Sampling ◽  
Perceived Knowledge ◽  
Clinical Integration ◽  
Radiology Service ◽  
Free Text Response ◽  
And Gender ◽  
The Uk

Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has been met with both scepticism and excitement. However, clinical integration of AI is already well-underway. Many authors have recently reported on the AI knowledge and perceptions of radiologists/medical staff and students however there is a paucity of information regarding radiographers. Published literature agrees that AI is likely to have significant impact on radiology practice. As radiographers are at the forefront of radiology service delivery, an awareness of the current level of their perceived knowledge, skills, and confidence in AI is essential to identify any educational needs necessary for successful adoption into practice.Aim: The aim of this survey was to determine the perceived knowledge, skills, and confidence in AI amongst UK radiographers and highlight priorities for educational provisions to support a digital healthcare ecosystem.Methods: A survey was created on Qualtrics® and promoted via social media (Twitter®/LinkedIn®). This survey was open to all UK radiographers, including students and retired radiographers. Participants were recruited by convenience, snowball sampling. Demographic information was gathered as well as data on the perceived, self-reported, knowledge, skills, and confidence in AI of respondents. Insight into what the participants understand by the term “AI” was gained by means of a free text response. Quantitative analysis was performed using SPSS® and qualitative thematic analysis was performed on NVivo®.Results: Four hundred and eleven responses were collected (80% from diagnostic radiography and 20% from a radiotherapy background), broadly representative of the workforce distribution in the UK. Although many respondents stated that they understood the concept of AI in general (78.7% for diagnostic and 52.1% for therapeutic radiography respondents, respectively) there was a notable lack of sufficient knowledge of AI principles, understanding of AI terminology, skills, and confidence in the use of AI technology. Many participants, 57% of diagnostic and 49% radiotherapy respondents, do not feel adequately trained to implement AI in the clinical setting. Furthermore 52% and 64%, respectively, said they have not developed any skill in AI whilst 62% and 55%, respectively, stated that there is not enough AI training for radiographers. The majority of the respondents indicate that there is an urgent need for further education (77.4% of diagnostic and 73.9% of therapeutic radiographers feeling they have not had adequate training in AI), with many respondents stating that they had to educate themselves to gain some basic AI skills. Notable correlations between confidence in working with AI and gender, age, and highest qualification were reported.Conclusion: Knowledge of AI terminology, principles, and applications by healthcare practitioners is necessary for adoption and integration of AI applications. The results of this survey highlight the perceived lack of knowledge, skills, and confidence for radiographers in applying AI solutions but also underline the need for formalised education on AI to prepare the current and prospective workforce for the upcoming clinical integration of AI in healthcare, to safely and efficiently navigate a digital future. Focus should be given on different needs of learners depending on age, gender, and highest qualification to ensure optimal integration.

scholarly journals Anaesthetic Higher Specialty Training Recruitment in the United Kingdom During the COVID-19 Pandemic: A National Survey

2021 ◽  
Author(s):  
Fionnuala Durrant ◽  
Stuart Edwardson ◽  
Sally El-Ghazali ◽  
Christopher Holt ◽  
Roopa McCrossan ◽  
...  
Keyword(s):  
Postgraduate Training ◽  
Medical Profession ◽  
Medical Specialty ◽  
Further Education ◽  
Similar Proportion ◽  
Junior Doctors ◽  
Free Text ◽  
Recruitment Process ◽  
Training Requirements ◽  
The Uk

The most recent ST3 Anaesthetic recruitment for posts commencing in August 2021 saw larger numbers of applicants (n = 1,056) compared to previous years, with approximately 700 applicants failing to secure an ST3 post. We surveyed 536 anaesthetic junior doctors who applied for ST3 posts during this application round with the aim of investigating their experience of the recruitment process this year (response rate 536/1,056 = 51%). Approximately 61% were not offered ST3 posts (n = 326), a similar proportion to that previously reported. We asked all respondents what their potential career plans were for the next 12 to 24 months. The majority expressed intentions to take up either CT3 top-up posts or non-training fellow posts from August 2021 (79%). Other options considered by respondents included: pursuing work abroad (17%), embarking on a career break (16%), taking up an ST3 post in intensive care medicine instead of anaesthetics (15%) and permanently leaving the medical profession (9%). A number of respondents expressed a desire to pursue training in a different medical specialty (9%). Some respondents expressed an intention to pursue further education or research (10%). A large proportion of respondents (42%) expressed a lack of confidence in being able to achieve the necessary training requirements to later apply for ST4 in August 2023. The majority of respondents reported not feeling confident in achieving GMC Specialty Registration in Anaesthesia in the future without a training number (75%), and that their wider life plans have been disrupted due to the impending time out of training (78%). We received a total of 384 free-text responses to a question asking about general concerns regarding the ST3 applications process. Sentiment analysis of these free-text responses indicated that respondents felt generally negatively about the ST3 recruitment process. Some themes that were elicited from the responses included: respondents feeling the recruitment process lacked fairness, respondents suffering burnout and negative impacts on their wellbeing, difficulties in making plans for their personal lives, and feeling undervalued and abandoned despite having made personal sacrifices to support the health service during the COVID-19 pandemic. These results suggest that junior anaesthetic doctors in the UK currently have a negative perception towards postgraduate training structures, which has been exacerbated by the COVID-19 pandemic, changes to the postgraduate training curriculum and difficulties in securing higher training posts.

scholarly journals ‘A silent epidemic of grief’: a survey of bereavement care provision in the UK and Ireland during the COVID-19 pandemic

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e046872
Author(s):  
Caroline Pearce ◽  
Jonathan R Honey ◽  
Roberta Lovick ◽  
Nicola Zapiain Creamer ◽  
Claire Henry ◽  
...  
Keyword(s):  
Online Survey ◽  
Social Care ◽  
Care Practice ◽  
Free Text ◽  
Care Provision ◽  
Snowball Sampling ◽  
Health And Social Care ◽  
The Uk ◽  
Bereavement Care ◽  
The Impact

ObjectivesTo investigate the experiences and views of practitioners in the UK and Ireland concerning changes in bereavement care during the COVID-19 pandemic.DesignOnline survey using a snowball sampling approach.SettingPractitioners working in hospitals, hospices, care homes and community settings across the UK and Ireland.ParticipantsHealth and social care professionals involved in bereavement support.InterventionsBrief online survey distributed widely across health and social care organisations.Results805 respondents working in hospice, community, and hospital settings across the UK and Ireland completed the survey between 3 August and 4 September 2020. Changes to bereavement care practice were reported in: the use of telephone, video and other forms of remote support (90%); supporting people bereaved from non-COVID conditions (76%), from COVID-19 (65%) and people bereaved before the pandemic (61%); funeral arrangements (61%); identifying bereaved people who might need support (56%); managing complex forms of grief (48%) and access to specialist services (41%). Free-text responses demonstrated the complexities and scale of the impact on health and social care services, practitioners and their relationships with bereaved families, and on bereaved people.ConclusionsThe pandemic has created major challenges for the support of bereaved people: increased needs for bereavement care, transition to remote forms of support and the stresses experienced by practitioners, among others. The extent to which services are able to adapt, meet the escalating level of need and help to prevent a ‘tsunami of grief’ remains to be seen. The pandemic has highlighted the need for bereavement care to be considered an integral part of health and social care provision.

ICD10Net: An Artificial Intelligence Algorithm with Medical Background Conducts ICD-10-CM Coding Task with Outstanding Performance (Preprint)

2019 ◽  
Author(s):  
Chin Lin ◽  
Yu-Sheng Lou ◽  
Chia-Cheng Lee ◽  
Chia-Jung Hsu ◽  
Ding-Chung Wu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
General Hospital ◽  
Pearson Correlation ◽  
Model Performance ◽  
International Classification Of Diseases ◽  
Free Text ◽  
Daily Work ◽  
Medical Background ◽  
Icd 10 ◽  
F Measure

BACKGROUND An artificial intelligence-based algorithm has shown a powerful ability for coding the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) in discharge notes. However, its performance still requires improvement compared with human experts. The major disadvantage of the previous algorithm is its lack of understanding medical terminologies. OBJECTIVE We propose some methods based on human-learning process and conduct a series of experiments to validate their improvements. METHODS We compared two data sources for training the word-embedding model: English Wikipedia and PubMed journal abstracts. Moreover, the fixed, changeable, and double-channel embedding tables were used to test their performance. Some additional tricks were also applied to improve accuracy. We used these methods to identify the three-chapter-level ICD-10-CM diagnosis codes in a set of discharge notes. Subsequently, 94,483-labeled discharge notes from June 1, 2015 to June 30, 2017 were used from the Tri-Service General Hospital in Taipei, Taiwan. To evaluate performance, 24,762 discharge notes from July 1, 2017 to December 31, 2017, from the same hospital were used. Moreover, 74,324 additional discharge notes collected from other seven hospitals were also tested. The F-measure is the major global measure of effectiveness. RESULTS In understanding medical terminologies, the PubMed-embedding model (Pearson correlation = 0.60/0.57) shows a better performance compared with the Wikipedia-embedding model (Pearson correlation = 0.35/0.31). In the accuracy of ICD-10-CM coding, the changeable model both used the PubMed- and Wikipedia-embedding model has the highest testing mean F-measure (0.7311 and 0.6639 in Tri-Service General Hospital and other seven hospitals, respectively). Moreover, a proposed method called a hybrid sampling method, an augmentation trick to avoid algorithms identifying negative terms, was found to additionally improve the model performance. CONCLUSIONS The proposed model architecture and training method is named as ICD10Net, which is the first expert level model practically applied to daily work. This model can also be applied in unstructured information extraction from free-text medical writing. We have developed a web app to demonstrate our work (https://linchin.ndmctsgh.edu.tw/app/ICD10/).

scholarly journals Medical Students’ Experience of Mindfulness Training in the UK: Well-Being, Coping Reserve, and Professional Development

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Alice Malpass ◽  
Kate Binnie ◽  
Lauren Robson
Keyword(s):  
Medical Education ◽  
Mental Health Problems ◽  
Qualitative Interviews ◽  
General Medical Council ◽  
Well Being ◽  
Mindfulness Training ◽  
The Body ◽  
Free Text ◽  
Medical Council ◽  
The Uk

Medical school can be a stressful experience for students, resulting in stress-related mental health problems. Policy recommendations from the General Medical Council (GMC), the body responsible for improving medical education in the UK, recommend the use of mindfulness training to increase well-being and resilience to stress. Students participating in an eight-week mindfulness training between Autumn 2011 and Spring 2015 were invited to complete a free text survey at the end of their mindfulness course. In addition, six qualitative interviews were conducted lasting between 60 and 90 minutes. Interviews used a topic guide and were recorded and transcribed verbatim. We used the framework approach to analyse the data. Students reported a new relationship to their thoughts and feelings which gave a greater sense of control and resiliency, an ability to manage their workload better, and more acceptance of their limitations as learners. The small group context was important. Students described improved empathy and communication skills through building inner awareness of thoughts and feelings, noticing judgments, and developing attentive observation. The findings show how resiliency and coping reserve can be developed within medical education and the role of mindfulness in this process. We present a conceptual model of a learnt cycle of specific vulnerability and describe how MBCT intercepts at various junctures in this self-reinforcing cycle through the development of new coping strategies that embrace an “allowed vulnerability.”

scholarly journals When “Good Enough” Isn’t Good Enough: Interdisciplinary Perspectives on Caring for Adults Using Substances at the End of Life

2021 ◽  
Author(s):  
Lorna Templeton ◽  
Sarah Galvani ◽  
Marian Peacock
Keyword(s):  
End Of Life ◽  
End Of Life Care ◽  
Structured Interview ◽  
Life Care ◽  
Snowball Sampling ◽  
Policy And Practice ◽  
Template Analysis ◽  
Health And Social Care ◽  
The Uk ◽  
Key Terms

AbstractThis paper draws on data from one strand of a six-strand, exploratory study on end of life care for adults using substances (AUS). It presents data from the key informant (KI) strand of the study that aimed to identify models of practice in the UK. Participant recruitment was purposive and used snowball sampling to recruit KIs from a range of health and social care, policy and practice backgrounds. Data were collected in 2016–2017 from 20 KIs using a semi-structured interview approach. The data were analysed using template analysis as discussed by King (2012). This paper focusses on two of seven resulting themes, namely “Definitions and perceptions of key terms” in end of life care and substance use sectors, and “Service commissioning and delivery.” The KIs demonstrated dedicated individual practice, but were critical of the systemic failure to provide adequate direction and resources to support people using substances at the end of their lives.

scholarly journals Mental Health, Information and Being Connected: Qualitative Experiences of Social Media Use during the COVID-19 Pandemic from a Trans-National Sample

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 735
Author(s):  
Schoultz Mariyana ◽  
Leung Janni ◽  
Bonsaksen Tore ◽  
Ruffolo Mary ◽  
Thygesen Hilde ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Health Information ◽  
Online Survey ◽  
Negative Impact ◽  
National Study ◽  
Free Text ◽  
Cross Sectional ◽  
Mental Health Information ◽  
The Uk

Background: Due to the COVID-19 pandemic and the strict national policies regarding social distancing behavior in Europe, America and Australia, people became reliant on social media as a means for gathering information and as a tool for staying connected to family, friends and work. This is the first trans-national study exploring the qualitative experiences and challenges of using social media while in lockdown or shelter-in-place during the current pandemic. Methods: This study was part of a wider cross-sectional online survey conducted in Norway, the UK, USA and Australia during April/May 2020. The manuscript reports on the qualitative free-text component of the study asking about the challenges of social media users during the COVID-19 pandemic in the UK, USA and Australia. A total of 1991 responses were included in the analysis. Thematic analysis was conducted independently by two researchers. Results: Three overarching themes identified were: Emotional/Mental Health, Information and Being Connected. Participants experienced that using social media during the pandemic amplified anxiety, depression, fear, panic, anger, frustration and loneliness. They felt that there was information overload and social media was full of misleading or polarized opinions which were difficult to switch off. Nonetheless, participants also thought that there was an urge for connection and learning, which was positive and stressful at the same time. Conclusion: Using social media while in a shelter-in-place or lockdown could have a negative impact on the emotional and mental health of some of the population. To support policy and practice in strengthening mental health care in the community, social media could be used to deliver practical advice on coping and stress management. Communication with the public should be strengthened by unambiguous and clear messages and clear communication pathways. We should be looking at alternative ways of staying connected.

scholarly journals An interview study to determine the experiences of cellulitis diagnosis amongst health care professionals in the UK

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e034692
Author(s):  
Mitesh Patel ◽  
Siang Ing Lee ◽  
Nick J Levell ◽  
Peter Smart ◽  
Joe Kai ◽  
...  
Keyword(s):  
Clinical Features ◽  
Clinical Experience ◽  
Lower Limb ◽  
Health Care Professionals ◽  
Secondary Outcome ◽  
Snowball Sampling ◽  
Acute Medicine ◽  
Common Diagnosis ◽  
The Uk ◽  
National Networks

ObjectivesTo explore healthcare professionals (HCPs) experiences and challenges in diagnosing suspected lower limb cellulitis.SettingUK nationwide.Participants20 qualified HCPs, who had a minimum of 2 years clinical experience as an HCP in the national health service and had managed a clinical case of suspected cellulitis of the lower limb in the UK. HCPs were recruited from departments of dermatology (including a specialist cellulitis clinic), general practice, tissue viability, lymphoedema services, general surgery, emergency care and acute medicine. Purposive sampling was employed to ensure that participants included consultant doctors, trainee doctors and nurses across the specialties listed above. Participants were recruited through national networks, HCPs who contributed to the cellulitis priority setting partnership, UK Dermatology Clinical Trials Network, snowball sampling where participants helped recruit other participants and personal networks of the authors.Primary and secondary outcomesPrimary outcome was to describe the key clinical features which inform the diagnosis of lower limb cellulitis. Secondary outcome was to explore the difficulties in making a diagnosis of lower limb cellulitis.ResultsThe presentation of lower limb cellulitis changes as the episode runs its course. Therefore, different specialties see clinical features at varying stages of cellulitis. Clinical experience is essential to being confident in making a diagnosis, but even among experienced HCPs, there were differences in the clinical rationale of diagnosis. A group of core clinical features were suggested, many of which overlapped with alternative diagnoses. This emphasises how the diagnosis is challenging, with objective aids and a greater understanding of the mimics of cellulitis required.ConclusionCellulitis is a complex diagnosis and has a variable clinical presentation at different stages. Although cellulitis is a common diagnosis to make, HCPs need to be mindful of alternative diagnoses.

scholarly journals Advancing UK Regulatory Science Strategy in the Context of Global Regulation: a Stakeholder Survey

2021 ◽  
Author(s):  
Samantha Cruz Rivera ◽  
Barbara Torlinska ◽  
Eliot Marston ◽  
Alastair K. Denniston ◽  
Kathy Oliver ◽  
...  
Keyword(s):  
Pay For Performance ◽  
Regulatory Science ◽  
International Strategy ◽  
Free Text ◽  
The European Union ◽  
Accurate Definition ◽  
Definition Of ◽  
Healthcare Innovation ◽  
The Uk ◽  
Medium Enterprises

Abstract Background The UK’s transition from the European Union creates both an urgent need and key opportunity for the UK and its global collaborators to consider new approaches to the regulation of emerging technologies, underpinned by regulatory science. This survey aimed to identify the most accurate definition of regulatory science, to define strategic areas of the regulation of healthcare innovation which can be informed through regulatory science and to explore the training and infrastructure needed to advance UK and international regulatory science. Methods A survey was distributed to UK healthcare professionals, academics, patients, health technology assessment agencies, ethicists and trade associations, as well as international regulators, pharmaceutical companies and small or medium enterprises which have expertise in regulatory science and in developing or applying regulation in healthcare. Subsequently, a descriptive quantitative analyses of survey results and directed thematic analysis of free-text comments were applied. Results Priority areas for UK regulatory science identified by 145 participants included the following: flexibility: the capability of regulations to adapt to novel products and target patient outcomes; co-development: collaboration across sectors, e.g. patients, manufacturers, regulators, and educators working together to develop appropriate training for novel product deployment; responsiveness: the preparation of frameworks which enable timely innovation required by emerging events; speed: the rate at which new products can reach the market; reimbursement: developing effective tools to track and evaluate outcomes for “pay for performance” products; and education and professional development. Conclusions The UK has a time-critical opportunity to establish its national and international strategy for regulatory science leadership by harnessing broader academic input, developing strategic cross-sector collaborations, incorporating patients’ experiences and perspectives, and investing in a skilled workforce.

scholarly journals Use of Artificial Intelligence to understand adults’ thoughts and behaviours relating to COVID-19

2021 ◽  
pp. 175791392097933
Author(s):  
SW Flint ◽  
A Piotrkowicz ◽  
K Watts
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
Severe Illness ◽  
Free Text ◽  
Community Recovery ◽  
Substantial Impact ◽  
Lifestyle Behaviours ◽  
Artificial Intelligence Methods ◽  
High Concern ◽  
The Impact

Aims: The outbreak of severe acute respiratory syndrome coronavirus 2 (COVID-19) is a global pandemic that has had substantial impact across societies. An attempt to reduce infection and spread of the disease, for most nations, has led to a lockdown period, where people’s movement has been restricted resulting in a consequential impact on employment, lifestyle behaviours and wellbeing. As such, this study aimed to explore adults’ thoughts and behaviours in response to the outbreak and resulting lockdown measures. Methods: Using an online survey, 1126 adults responded to invitations to participate in the study. Participants, all aged 18 years or older, were recruited using social media, email distribution lists, website advertisement and word of mouth. Sentiment and personality features extracted from free-text responses using Artificial Intelligence methods were used to cluster participants. Results: Findings demonstrated that there was varied knowledge of the symptoms of COVID-19 and high concern about infection, severe illness and death, spread to others, the impact on the health service and on the economy. Higher concerns about infection, illness and death were reported by people identified at high risk of severe illness from COVID-19. Behavioural clusters, identified using Artificial Intelligence methods, differed significantly in sentiment and personality traits, as well as concerns about COVID-19, actions, lifestyle behaviours and wellbeing during the COVID-19 lockdown. Conclusions: This time-sensitive study provides important insights into adults’ perceptions and behaviours in response to the COVID-19 pandemic and associated lockdown. The use of Artificial Intelligence has identified that there are two behavioural clusters that can predict people’s responses during the COVID-19 pandemic, which goes beyond simple demographic groupings. Considering these insights may improve the effectiveness of communication, actions to reduce the direct and indirect impact of the COVID-19 pandemic and to support community recovery.

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