Bobby Maddex interviews Dr. Albert Rossi, the residential clinical psychologist at St. Vladimir’s Seminary and the author of the new AFP book Becoming a Healing Presence.

Will healthcare providers who hold to the sanctity of human life be allowed work in the emerging secular society?

Dr. Rossi explores how the fire of God's healing presence can flow right through us to others.

Dr. Rossi interviews Dr. Paul Meyendorff about the topic of healing and the Sacrament of Unction.

Dr. Albert Rossi reflects on how we can be a healing presence during these dark times in our world.

Bobby Maddex interviews Fr. Andrew Applegate, the rector of St. Aidan of Lindisfarne Orthodox Mission parish in Cranbrook, British Columbia, about an upcoming conference titled "Healing Earth: Orthodox Christian Perspectives on Ecology and Climate Change."

We are excited to announce a new call-in show starting January 24, 2017, with Fr. Nicholas and Dr. (Presbytera) Roxanne Louh. Meet this vibrant couple from Jacksonville, FL, where they serve at St. John the Divine Greek Orthodox Church. Healthy Minds Healthy Souls will broadcast on the 2nd and 4th Tuesday of every month at 7:00 PM Central, 8:00 PM Eastern on the Talk Station of AFR.

Archimandrite Maximos Constas, Senior Research Scholar at Hellenic College/Holy Cross, speaks at St. Nicholas Greek Orthodox Church in Toronto, Ontario.

Bobby Maddex interviews Reader Nicholas Chapman, Dn. Paul Siewers, and Kh. Frederica Matthewes-Green about the new title from Holy Trinity Publications, Healing Humanity: Confronting Our Moral Crisis. Listen in as they discuss the conference that inspired the book as well as timely topics such as sexuality, freedom, theosis and the challenges that Christians face as they stand for traditional values. This incredible title can be purchased directly from Holy Trinity Publications here.

Fr. Pat's homily delivered on the Sunday of the Holy Cross, 2008.

Struggling to start a good routine, like saying prayers every morning? Finding it impossible to break a bad habit, like watching too much TV? Don't worry, we're here for you. Steve and Christian share 5 tips to help you build healthy habits! With these 5 tips in hand, what healthy habit would you like to build? Leave a comment and let us know! The guys learned a lot from Charles Duhigg's book "The Power of Habit: Why We Do What We Do in Life and Business."

Feeling scared to go back to school or work? What about Church? This has been a crazy time for us all. So Steve and Christian and back to share 4 keys to staying healthy during the coronavirus pandemic (and as public place begin to reopen). They even made a companion journal to the episode. The journal offers guided questions to help you stay healthy: mentally, physically, emotionally, and spiritually. Get your free "Healthy Human" PDF here: https://mailchi.mp/goarch/be_the_bee_144 Are you anxious for churches to reopen? Are you feeling scared? Leave a comment and share how you're doing.

Staying on top of what people are saying or writing about you is about more than ego. It helps you amplify the positive and quickly resolve anything negative—before it blows up. Healthcare providers face a unique challenge when it comes to their reputations. How current and future patients view you […]

The post Healthcare Reputation Management: 7 Tricks to Do First appeared first on .

Shane Lewis-Hughes discusses the benefits of talking openly for rugby players.

Health Minister Mike Nesbitt said he would not be able to match pay deals for healthcare staff in other parts of UK.

Manx Care meets 52% of the recommendations outlined in a series of Care Quality Commission reviews.

Alfred Cannan says reducing Manx Care's overspend for the current financial year will be difficult.

The health minister predicts difficult conversations with unions over pay due to budget problems.

The law could force health staff to be open with patients and their families when mistakes are made.

Pensions Secretary Liz Kendall says trials of the idea have produced "dramatic results".

Sue Hill will not receive a settlement after "systemic cultural failings" in her department.

Jake Doyle is touring Northants rugby clubs to raise money

Barry Crisp will be one of the experts at the BBC Radio Northampton Headfest event on 25 October.

Jenni Norey says activities like origami are beneficial for mental wellbeing.

Teacher Jo Marten says learning about emotional resilience gives children the "tools to prepare for change".

BBC Radio Northampton is bringing wellbeing professionals together for 'Headfest'.

A suicide prevention worker says talking about mental health is everyone's responsibility.

Morgan Rose Betchley was “passed from pillar to post” before her death, her family tell an inquest.

BBC Radio Stoke’s Matt Weigold visited Men Who Make Things at Hartshill's B Arts Centre.

Juliette Burton is appearing at Bedford's Quarry Theatre as part of the BBC's Headfest event.

This paper presents a sequential edge swap (SQES) mechanism to design a robust network for a healthcare system utilising energy and communication range of nodes. Two operations: sequential degree difference operation (SQDDO) and sequential angle sum operation (SQASO) are performed to enhance the robustness of network. With equivalent degrees of nodes from the network's centre to its periphery, these operations build a robust network structure. Disaster attacks that have a substantial impact on the network are carried out using the network information. To identify a link between the malicious and disaster attacks, the Pearson coefficient is employed. SQES creates a robust network structure as a single objective optimisation solution by changing the connections of nodes based on the positive correlation of these attacks. SQES beats the current methods, according to simulation results. When compared to hill-climbing algorithm, simulated annealing, and ROSE, respectively, the robustness of SQES is improved by roughly 26%, 19% and 12%.

1. Niagara Health offering free parking after delays reported  News Talk 610 CKTB
2. Implementation of new Niagara Health patient info system resulting in long wait times  St. Catharines Standard
3. Temporary delays impacting registration at emergency departments  Thorold News
4. Niagara Health Working Through Delays  101.1 More FM
5. Niagara Health experiencing temporary delays impacting registration and EDs  Niagara Health

Access to quality healthcare is a fundamental right but unfortunately, India suffers from gender disparities in healthcare access. Telemedicine has the potential to improve access to healthcare services for women by eliminating traditional barriers. Therefore, our research aims to investigate the factors influencing the adoption of telemedicine among Indian women. This study has collected 442 responses and analysed them through structural equation modelling. The result indicates a strong and positive connection between the willingness to adopt telemedicine services and factors like performance expectancy, perceived benefits, e-health literacy, and perceived reliability. Notably, perceived reliability emerges as the most impactful predictor, closely followed by perceived benefits, while factors like effort expectancy and user resistance show no significant influence. This underscores the pivotal role of reliability and perceived benefits in shaping women's inclination toward adopting telemedicine. The study provides practical insights for telemedicine providers and policymakers to customise strategies and policies for effective promotion.

In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity.

This study investigates the well-being of healthcare professionals in India, with a specific focus on the detrimental effects of the pandemic on their mental and physical health, including stress, burnout, and fatigue. This research examines the roles played by calling, mindfulness, and compassionate love as essential resources in promoting the well-being of healthcare professionals. Utilising structural equation modelling (SEM), the results reveal a significant cause and effect relationship between calling, mindfulness, and compassionate love and their influence on overall well-being. Furthermore, the study identifies a noteworthy parallel mediation effect, demonstrating that mindfulness and compassionate love serve as mediators in the relationship between calling and well-being. This research offers practitioners invaluable insights into the effective utilisation of mindfulness and compassionate love practices to enhance the overall well-being of healthcare professionals.

Disease pandemics, once thought to be historical relics, are now again challenging healthcare systems globally. Of essential importance is sufficiently investing in preparedness and responsiveness, but approaches to such investments vary significantly by country. These variations provide excellent opportunities to learn and prepare for future pandemics. Therefore, we examine digital health infrastructure and the state of healthcare and public health services in relation to pandemic preparedness and responsiveness. The research focuses on two countries: South Africa and the USA. We apply case analysis at the country level toward understanding digital health policy preparedness and responsiveness to a pandemic. We also provide a teaching note at the end for use in guiding students in this area to formulate digital health policy recommendations for pandemic preparedness and responsiveness.

In order to improve the mental health level of college students, a data mining based mental health education strategy for college students is proposed. Firstly, analyse the characteristics of data mining and its potential value in mental health education. Secondly, after denoising the mental health data of college students using wavelet transform, data mining methods are used to identify the psychological crisis status of college students. Finally, based on the psychological crisis status of college students, measures for mental health education are proposed from the following aspects: building a psychological counselling platform, launching psychological health promotion activities, establishing a psychological support network, strengthening academic guidance and stress management. The example analysis results show that after the application of the strategy in this article, the psychological health scores of college students have been effectively improved, with an average score of 93.5 points.

Aim/Purpose: The objective of this study was to concept test a new instructional aid called Virtual Pathology Learning Resource (VPLR), which was used as a vehicle to communicate information and enhance teaching and learning of basic sciences (Anatomy, Physiology, and Pathology) to allied health science students at a South Australian university. Background: Pathology was traditionally taught using potted specimens to review disease manifestations independently. However, this approach was found inadequate and ineffective. VPLR is a new teaching platform comprising of digitised human normal and human pathology specimens (histology, histopathology), patient case studies, short answer and critical thinking questions, and self-assessment quizzes. Using authentic learning theory as an educational pedagogy, this learning resource was developed to enhance the teaching and learning of Pathology. Methodology: Cross-sectional study design was used. A survey, given at the end of the course, gathered qualitative and quantitative data concerning the perceptions and experiences of the students about VPLR and its components. The online tool SurveyMonkey was utilised so that students could respond anonymously to a web link that displayed the questionnaire. The perceived impact on students was assessed using an 18-item questionnaire seeking agreement or disagreement with statements about VPLR, multiple choice and open-ended questions querying the best things about VPLR, benefits to be derived, and areas for improvement. Descriptive and frequency analyses were performed. Contribution: The VPLR approach involved rich learning situations, contextualised content, and facilitated greater understanding of disease concepts and problems. Findings: In a sample of 103 Medical Radiation students, 42% of students (N=43) responded to the post-intervention survey. The majority of students reported highly positive effects for each component of the VPLR. The overall results indicated that this tool was a promising strategy in teaching Pathology as it assisted students’ gaining knowledge of the science, facilitated connections between sciences, and allowed students to make better links with professional practice and skills. Recommendations for Practitioners: As students found VPLR to be beneficial, it is recommended that the same approach is applied for the teaching of Pathology to other health science students, such as Nursing. Other universities might consider adopting the innovation for their courses. Recommendation for Researchers: Applying VPLR to teaching other allied health science students will be undertaken next. The innovation will be appropriate for other health science students with particular emphasis on case-based or problem-based learning and combined with clinical experiences. Impact on Society: In reshaping the way of teaching a science course, students are benefited with greater depth of understanding of content and increase motivation to study. These are important to keep students engaged and ready for practice. VPLR may impact on education and technology trends so that exploration and possibilities of initiatives are ongoing to help students become successful learners. Other impacts are the new forms of learning discovered, the renewed focus on group work and collaboration, and maximising the use of technology in innovation. Future Research: Future directions of this research would be to conduct a follow-up of this cohort of students to determine whether the impacts of the innovation were durable, meaning the change in perceptions and behaviour is sustained over time.

Aim/Purpose. The aim of this study is to recognize the factors that contributed to the development of IT in the healthcare industry. Background. The healthcare Information Technology (IT) solutions market has experienced remarkable growth, with the healthcare sector emerging as a $303 billion industry. However, despite its substantial size, the healthcare industry has faced criticism for its slow adoption of innovative technologies. This study aims to explore factors driving the evolution of IT in the healthcare sector. Methodology. The researchers conducted a systematic literature review, searching the PubMed and Emerald databases for relevant peer-reviewed articles. After filtering based on defined criteria, 433 articles were included for analysis. Thematic analysis was applied to the abstract of articles which spanned the period of 1997 to 2023. Contribution. This study provides a conceptual framework elucidating the key factors driving the evolution of IT in the healthcare industry. By systematically analyzing the existing literature, the research identifies four overarching themes – government policies, technological potentials, healthcare delivery needs, and organizational motivations – that have propelled the development and adoption of healthcare IT solutions. Provide a conceptual model for understanding, and design of the healthcare it solutions. Findings. Based on the analysis in this paper, four themes emerged: government policies promoting IT adoption through initiatives like incentives for electronic health records; technological breakthroughs enabling new healthcare IT capabilities; healthcare delivery needs to drive IT integration for improved quality and safety; and patient experience and organizational motivations to leverage IT for streamlining processes and knowledge management. Recommendations for Practitioners. The conceptual model can guide practitioners in developing IT solutions aligned with policy drivers, technological capabilities, care delivery needs, and organizational imperatives. Recommendations for Researchers. The conceptual framework developed in this study offers a lens for researchers across disciplines to continue investigating the role of information technology in the healthcare industry. Impact on Society. Examining the evolution of IT in the healthcare industry revealed the importance of information technology in enhancing the delivery and affordability of healthcare services and addressing issues of accessibility and inequality. Future Research. Future research will explore global perspectives showcasing the successful impact of IT on healthcare, as emerging technologies impact healthcare delivery and patient outcomes.

A central premise for the creation of Electronic Health Records (EHR) is ensuring the portability of patient health records across various clinical, insurance, and regulatory entities. From portability standards such as International Classification of Diseases (ICD) to data sharing across institutions, a lack of portability of health data can jeopardize optimal care and reduce meaningful use. This research empirically investigates the relationship between health records availability and portability. Using data collected from 168 medical providers and patients, we confirm the positive relationship between user perceptions of expected satisfaction with EHR availability and the expected satisfaction with portability. Our findings contribute to more informed practice by understanding how ensuring the availability of patient data by virtue of enhanced data sharing standards, device independence, and better EHR data integration can subsequently drive perceptions of portability across a multitude of stakeholders.

Aim/Purpose: The primary purpose of this study is to provide a cost-effective and artificial intelligence enabled security solution for IoT enabled healthcare ecosystem. It helps to implement, improve, and add new attributes to healthcare services. The paper aims to develop a method based on an artificial neural network technique to predict suspicious devices based on bandwidth usage. Background: COVID has made it mandatory to make medical services available online to every remote place. However, services in the healthcare ecosystem require fast, uninterrupted facilities while securing the data flowing through them. The solution in this paper addresses both the security and uninterrupted services issue. This paper proposes a neural network based solution to detect and disable suspicious devices without interrupting critical and life-saving services. Methodology: This paper is an advancement on our previous research, where we performed manual knowledge-based intrusion detection. In this research, all the experiments were executed in the healthcare domain. The mobility pattern of the devices was divided into six parts, and each one is assigned a dedicated slice. The security module regularly monitored all the clients connected to slices, and machine learning was used to detect and disable the problematic or suspicious devices. We have used MATLAB’s neural network to train the dataset and automatically detect and disable suspicious devices. The different network architectures and different training algorithms (Levenberg–Marquardt and Bayesian Framework) in MATLAB software have attempted to achieve more precise values with different properties. Five iterations of training were executed and compared to get the best result of R=99971. We configured the application to handle the four most applicable use cases. We also performed an experimental application simulation for the assessment and validation of predictions. Contribution: This paper provides a security solution for the IoT enabled healthcare system. The architectures discussed suggest an end-to-end solution on the sliced network. Efficient use of artificial neural networks detects and block suspicious devices. Moreover, the solution can be modified, configured and deployed in many other ecosystems like home automation. Findings: This simulation is a subset of the more extensive simulation previously performed on the sliced network to enhance its security. This paper trained the data using a neural network to make the application intelligent and robust. This enhancement helps detect suspicious devices and isolate them before any harm is caused on the network. The solution works both for an intrusion detection and prevention system by detecting and blocking them from using network resources. The result concludes that using multiple hidden layers and a non-linear transfer function, logsig improved the learning and results. Recommendations for Practitioners: Everything from offices, schools, colleges, and e-consultation is currently happening remotely. It has caused extensive pressure on the network where the data flowing through it has increased multifold. Therefore, it becomes our joint responsibility to provide a cost-effective and sustainable security solution for IoT enabled healthcare services. Practitioners can efficiently use this affordable solution compared to the expensive security options available in the commercial market and deploy it over a sliced network. The solution can be implemented by NGOs and federal governments to provide secure and affordable healthcare monitoring services to patients in remote locations. Recommendation for Researchers: Research can take this solution to the next level by integrating artificial intelligence into all the modules. They can augment this solution by making it compatible with the federal government’s data privacy laws. Authentication and encryption modules can be integrated to enhance it further. Impact on Society: COVID has given massive exposure to the healthcare sector since last year. With everything online, data security and privacy is the next most significant concern. This research can be of great support to those working for the security of health care services. This paper provides “Security as a Solution”, which can enhance the security of an otherwise less secure ecosystem. The healthcare use cases discussed in this paper address the most common security issues in the IoT enabled healthcare ecosystem. Future Research: We can enhance this application by including data privacy modules like authentication and authorisation, data encryption and help to abide by the federal privacy laws. In addition, machine learning and artificial intelligence can be extended to other modules of this application. Moreover, this experiment can be easily applicable to many other domains like e-homes, e-offices and many others. For example, e-homes can have devices like kitchen equipment, rooms, dining, cars, bicycles, and smartwatches. Therefore, one can use this application to monitor these devices and detect any suspicious activity.

Aim/Purpose: The aim of the study is to explore factors that affect how healthcare clients in rural areas use infomediaries in maternal mHealth interventions. The study focuses on maternal healthcare clients who do not own mobile phones but use the mHealth intervention. Background: Maternal mHealth interventions in poor-resource settings are bedevilled by inequalities in mobile phone ownership. Clients who do not own mobile phones risk being excluded from benefiting from the interventions. Some maternal mHealth providers facilitate the access of mobile phones for those who do not own them using “infomediaries”. Infomediaries, in this case, refer to individuals who have custody of mobile phones that other potential beneficiaries may use. However, the use of infomediaries to offer access to the “have nots” may be influenced by a number of factors. Methodology: The study uses a case of a maternal mHealth intervention project in Malawi, as well as a qualitative research method and interpretive paradigm. Data was collected using secondary data from the implementing agency, semi-structured interviews, and focus group discussions. Empirical data was collected from maternal healthcare clients who do not own mobile phones and infomediaries. Data were analysed inductively using thematic analysis. Contribution: The study proposed a theoretical framework for studying infomediaries in ICT4D. The study may inform mHealth designers, implementers, and policymakers on how infomediaries could be implemented in a rural setting. Consequently, understanding the factors that affect the use of infomediaries may inform mHealth intervention implementers on how they could overcome the challenges by implementing mHealth interventions that reduce the challenges on the mHealth infomediaries side, and the maternal healthcare clients’ side. Findings: Characteristics of the maternal healthcare client, characteristics of the mHealth infomediary, perceived value of mHealth intervention, and socio-environmental factors affect maternal healthcare clients’ use of mHealth infomediaries. Recommendations for Practitioners: Implementers of interventions ought to manage the use of infomediaries to avoid volunteer fatigue and infomediaries who may not be compatible with the potential users of the intervention. Implementers could leverage traditional systems of identifying and using infomediaries instead of reinventing the wheel. Recommendation for Researchers: This research adopted a single case study to develop the theoretical framework for mHealth infomediary use. We recommend future studies are conducted in order to test and develop this framework further, not only in ICT4D, but also in other areas of application. Impact on Society: People still lack access. The lack of ownership of technology may still exclude them from participating in an information society. The use of infomediaries may help to provide access to technologies to those who do not have them thereby bridging the digital divide gap. Future Research: We propose herein that traditional systems may offer a good starting point for designing a system that would work for communities. We, therefore, recommend that future research may explore these possibilities.