Leadership in health and medical education: lessons from a symposium on health sector development in Ghana.

The Ghana College of Physicians and Surgeons (GCPS) has established an annual leadership symposium celebrating innovative leadership in the health sector. The 2022 symposium under the theme "Health Sector Development in Ghana; The Power of Good Leadership" was held in honour of Professor Samuel Ofosu-Amaah (the laureate), an Emeritus Professor of Public Health at the University of Ghana, about his leadership legacy. This article reflects on the leadership challenges in the health sector, the lessons learnt from the symposium, and the way forward. Leadership challenges identified in the health sector included the need for mentorship and coaching, the importance of teamwork and networking for delivering high-quality healthcare, and the role of leadership and governance in the health system. Key lessons from the symposium focused on skills in leading an event organisation, effective collaboration and teamwork, and learning from recognising prominent leaders' contributions to the health sector while these leaders are still alive. Key lessons from the personal and professional life of the laureate included a focus on giving back to the community, building mentorship of health leaders, being a catalyst of change, leadership and governance in public health institutions and publication of research findings. Suggestions were made to name the School of Public Health of the University of Ghana after Professor Ofosu-Amaah, to include a leadership and management module in all training modules at the GCPS and to establish a health leadership "Observatory" to focus on research on how leadership influences relevant health sector policy issues. Funding: The World Health Organization (WHO) country office in Ghana funded the symposium.

An Evaluation Guide and Decision Support Tool for Journey Maps in Healthcare and Beyond.

The journey map concept evolved out of the service design field and is still relatively new in the healthcare landscape [1]. Journey maps are visualizations that effectively highlight organizational issues and allow stakeholder groups to be depicted by interest or function for a comparative visual analysis [2]. There are five journey map approaches: 1) Mental (Cognitive) Model Map, 2) Customer Journey Map, 3) Experience Map, 4) Service Blueprint Map, 5) Spatial Map. The objective of this article is three-fold: 1) quantify and delineate the journey mapping visualization techniques utilized from the phase 1 scoping review [2], 2) create a Journey Map Evaluation Guide, 3) create a Journey Map Decision Support Tool to facilitate a standardized method for journey map selection. For those less familiar with journey mapping, this framework can serve as a decision-making tool to facilitate the most effective choice among the different journey mapping visualization approaches. The tools presented in this study can provide a mechanism to standardize the assessment, classification and utilization of journey maps in the healthcare sector and industries abound.

Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let's Get Real.

OBJECTIVES: This study aimed to showcase the potential and key concerns and risks of artificial intelligence (AI) in the health sector, illustrating its application with current examples, and to provide policy guidance for the development, assessment, and adoption of AI technologies to advance policy objectives. METHODS: Nonsystematic scan and analysis of peer-reviewed and gray literature on AI in the health sector, focusing on key insights for policy and governance. RESULTS: The application of AI in the health sector is currently in the early stages. Most applications have not been scaled beyond the research setting. The use in real-world clinical settings is especially nascent, with more evidence in public health, biomedical research, and "back office" administration. Deploying AI in the health sector carries risks and hazards that must be managed proactively by policy makers. For AI to produce positive health and policy outcomes, 5 key areas for policy are proposed, including health data governance, operationalizing AI principles, flexible regulation, skills among health workers and patients, and strategic public investment. CONCLUSIONS: AI is not a panacea, but a tool to address specific problems. Its successful development and adoption require data governance that ensures high-quality data are available and secure; relevant actors can access technical infrastructure and resources; regulatory frameworks promote trustworthy AI products; and health workers and patients have the information and skills to use AI products and services safely, effectively, and efficiently. All of this requires considerable investment and international collaboration.

Advancing pharmacy and healthcare with virtual digital technologies.

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the pharmaceutical sector alike, ranging from improving access to clinicians and medicines, as well as improving real-time diagnoses and treatments. Indeed, it is envisioned that such technologies will communicate together in real-time, as well as with their physical counterparts, to create a large-scale, cyber healthcare system. Despite the significant benefits that virtual-based digital health technologies can bring to patient care, a number of challenges still remain, ranging from data security to acceptance within the healthcare sector. This review provides a timely account of the benefits and challenges of virtual health interventions, as well an outlook on how such technologies can be transitioned from research-focused towards real-world healthcare and pharmaceutical applications to transform treatment pathways for patients worldwide.

Working in "smart" mode during the Covid-19 pandemic. Validation of a questionnaire in the healthcare sector.

CONCLUSIONS: The present tool is adequate to investigate attitudes towards Smart Working among healthcare workers. BACKGROUND: During the most difficult phases of the Covid-19 he-alth emergency, when access to the usual work location was not allowed due to the constraints related to the pandemic, Smart Working enabled business continuity in the face of the ongoing health emergency. Mo-dern technology serves a new way of working, allowing workers to effectively manage their professional and personal spheres in a world that increasingly requires them to optimize their time. The main objective of this research is to validate a Smart Working questionnaire administered to healthcare workers. METHODS: The questionnaire, reported in Annex I, consisting of 30 questions and submitted electronically through Google Forms, was administered in Italian to healthcare personnel of the Teaching hospi-tal Umberto I and Sapienza University of Rome between September and October 2020. The questionnaire analyzed the characteristics of the sample and investigated the perception and attitude of healthcare personnel towards seven different aspects of Smart Working. A descriptive analysis of the sample examined and an internal consistency analysis was performed through the use of the SPSS (Statistical Package for Social Science) program version 25.0. Cronbach's alpha statistical indicator, which measures reprodu-cibility over time, reliability, and homogeneity of questions, was used for the analysis. RESULTS: A total number of 53 health care providers answered the online questionnaire. The majority of the respondents were female (60.4%); 73.6% of respondents reported having a college degree or a higher educational level. The analysis showed an overall standardized Cronbach's Alpha of 0.709, which corresponds to a good reliability. In the items analysis, the alpha value ranged from a minimum of 0.652 to a maximum of 0.756.

Tsunami of economic turmoil to hit the healthcare in 2021-2022: COVID-19 pandemic is just an earthquake.

The COVID-19 pandemic caused the United States to hit record numbers of COVID-19 cases: peak unemployment of 14.7%, an increase in $4 trillion in national debt, and an estimated 3.4% GDP decline. The current socio-economic environment the pandemic created is just an earthquake that can create a tsunami that is bound to hit the healthcare system and can be felt around the globe. This tsunami is composed of a post-pandemic increase in healthcare facilities admission of indigent patients, decrease in medical reimbursement, and high operating costs to maintain healthcare workers, which can cause a synergistic effect that can lead to healthcare facilities experiencing significant negative total revenue. Time is of the essence, and it is imperative to make a collective effort from all healthcare professionals and legislatures to shift the nation's attention to the issue at hand that can threaten the closure of many healthcare facilities post-pandemic.

A systematic review of health sector responses to the coincidence of disasters and COVID-19.

BACKGROUND: In December 2019, the Chinese city of Wuhan reported a novel pneumonia caused by COVID-19. While the COVID-19 pandemic has been increasingly affecting the world, the occurrence of disasters resulted in complex emergencies. The present review is aimed to identify the literature focused on health system response to coincidence of COVID-19 and disasters as well as describing their finding, implications and lessons-learned. METHODS: This study was conducted and reported based on PRISMA guideline. The databases of Web of Sciences, PubMed, Scopus, Google Scholar and World Health Organization Library were searched. The inclusion criteria were all forms of published articles which investigated the coincidence of disasters and COVID-19 pandemic. Using the title and abstract screening, the selections of studies were performed by two researchers. Once, the relevant papers were finalized, the analysis was done in two parts of descriptive analysis and implications for health systems. RESULTS: Out of 1245 studies generated by initial search, a number of 13 articles was selected for final analysis. Earthquake was the most frequent disaster which its coincidence with COVID-19 was studied by researchers (31%). The implications of researchers for healthcare system were explained in three sections of climatic events, earthquakes and all hazard approach in relation to COVID-19. CONCLUSION: Extracting the lessons learned from the regions affected by disasters at the time of COVID-19 pandemic can be helpful for healthcare professionals and policy-makers to improve their preparedness and response during disasters and a serious pandemic such as COVID-19. Further research is needed to identify the factors which strengthen the preparedness of health system for the dual risk of natural hazards and pandemics.

How Sanctions Have Impacted Iranian Healthcare Sector: A Brief Review.

Many studies have shown the crippling effects of sanctions on the healthcare sector of different countries, including Iran. Long-standing sanctions against Iran escalated recently and severely limited commercial activities with Iran. The devastating consequences of these embargoes have affected all aspects of health care delivery in Iran, limiting the availability of critical medicines and medical devices, and negatively impacting primary health care, treatment of complex diseases including cancer, medical tourism, and medical education and research. The present novel coronavirus disease 2019 (COVID-19) pandemic has uncovered this long-standing crisis in the Iranian health care sector. In this communication, we briefly discuss selected aspects of these sanctions and their impact on the health care system and people of Iran during this critical time.

When Doctors strike: Making Sense of Professional Organizing in Kenya.

Little is known about how the health professions organize in low- and middle-income countries (LMICs). This is particularly troubling as health worker strikes in LMICs appear to be growing more frequent and severe. While some research has been conducted on the impact of strikes, little has explored their social etiology. This article draws on theory from organization and management studies to situate strike behavior in a historical process of sensemaking in Kenya. In this way, doctors seek to expand pragmatic, moral, and cognitive forms of legitimacy in response to sociopolitical change. During the first period (1963-2000), the legacy of colonial biomedicine shaped medical professionalism and tensions with a changing state following independence. The next period (2000-2010) was marked by the rise of corporate medicine as an organized form of resistance to state control. The most recent period (2010-2015) saw a new constitution and devolution of health services cause a fractured medical community to strike as a form of symbolic resistance in its quest for legitimacy. In this way, strike behavior is positioned as a form of legitimation among doctors competing over the identity of medicine in Kenya and is complicating the path to universal health coverage.

Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.

This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.

How the Institutional and Policy Context Shapes the Establishment of Nurse Practitioner Roles and Practice in New Zealand's Primary Health Care Sector.

The implementation of the nurse practitioner (NP) workforce in primary health care (PHC) in New Zealand has been slow, despite ongoing concerns over persisting health inequalities and a crisis in the primary care physician workforce. This article, as part of a wider institutional ethnography, draws on the experiences of one NP and two NP candidates, as they struggle to establish and deliver PHC services in areas of high need, rural, and Indigenous Maori communities in New Zealand. Using information gathered initially by interview, we develop an analysis of how the institutional and policy context is shaping their experiences and limiting opportunities for the informants to provide meaningful comprehensive PHC. Their work (time and effort), with various health organizations, was halted with little rationale, and seemingly contrary to New Zealand's strategic direction for PHC stipulated in the Primary Health Care Strategy 2001. The tension between the extant biomedical model, known as primary care, and the broader principles of PHC was evident. Our analysis explored how the perpetuation of the neoliberal health policy environment through a "hands-off" approach from central government and district health boards resulted in a highly fragmented and complex health sector. Ongoing policy and sector perseverance to support privately owned physician-led general practice; a competitive contractual environment; and significant structural health sector changes, all restricted the establishment of NP services. Instead, commitment across the health sector is needed to ensure implementation of the NP workforce as autonomous mainstream providers of comprehensive PHC services.

A model of an agile organization designed to better manage the COVID-19 crisis.

COVID-19 strongly hit healthcare organizations due to three factors: the lack of knowledge of this new virus, the fear of the people, and the continuous modifications in the management of the crisis. This situation required flexibility and adaptability of organizations, as our university health centre demonstrated. It relied on a decentralized model of management based on three pillars: a culture of innovation and creativity, an agile organizational structure, and an open innovation ecosystem and network. These assets were already developed prior to the onset of COVID-19 and helped our organization to better respond to the crisis.