This paper tries to understand economic, social and legal implications of the introduction and usage of MediSearch (AI search engine) in the Indian healthcare context. Discussing the economic ramifications, the paper highlights the potential for cost savings, the influence on healthcare accessibility, and the shifts in traditional medical paradigms. On the social side, the study explains ability of AI based platforms to bridge healthcare disparities, with a potential for enhancing general health literacy among the general population. From a legal standpoint, study highlights the concerns related to data privacy, regulatory issues, and possible malpractice implications. With the integration of these perspectives, the study also explains opportunities, challenges and future of MediSearch from the Indian health perspective.

The recent coronavirus-19 pandemic has highlighted the need for a global digitally enabled healthcare advancement infrastructure to ease e-coverage in the future and reduce human losses, facilitating access to high-quality and cost-effective health solutions. As the concept of a virtual healthcare system is still premature, it would have required noteworthy speculation in technologies and an overhaul of most of the current classical healthcare infrastructure, policies, and systems around the globe. Aims and objectives: This study aims to create a viable autonomous virtual universal health care system to modify the comfort of health care through emerging digital and communication innovations to fulfil consumer needs. Methodology: This study falls under the fact-finding category, which encompasses an exploratory approach with literature examination, limited field visits with informal interviews with local key authorities, and an initial assessment of current circumstances to examine the possibility of application of virtual health coverage. Findings: This study discovered that it is imperative to organize and develop the prospected healthcare system at the country level to be governed by international organizations as speculatively it is functioning in comparative improved healthcare systems across the world, which should be based on special processing of the prospected six types of data with their operationalization to serve multidisciplinary bunches by e-governance and exchanges between distinctive measurements. It requires more dependence on digital infrastructure and learning materials through electronic resources and ordinary techniques. Among other effective components for the development of virtual health coverage, are the applications of digital technology, the middle utility of voice and brief advising framework, complex functionalities, and applications of fifth generations (5Gs) arranged into universal servers attached to GPS-appropriate for sound choice and high-quality measures. Recommendations: This study recommends the construction of a virtual healthcare system by utilizing the proposed Electronic domestic medical adviser, virtual clinics, or “e-health incubators” which will allow individuals to relate through the web rather than the face-to-face institutive fragmented structure systems.

Purpose: This review mainly aims to identify the lean practice conducted in hospitals, determining what problems lean practice can be helpful to solve in the hospitals. Data sources: Four electronic databases (Scopus, Web of science, Medline, and PubMed) were conducted for searching related literature in this review. Study selection: These studies in the hospitals that related lean healthcare practice and contained outcome variables were included. Data extraction: Related information such as research design, countries, lean tools, outcome variables, results were extracted. Results of data synthesis: 20 eligible articles were identified in this review. There was 20% lean practice being conducted in emergency department of hospitals in this review. Six cases have implemented lean in Brazilian hospitals. There were 12 cases implemented lean practice through Value Stream Mapping. Conclusion: Lean practices were highly valued in Brazilian hospitals, and it was frequently implemented in hospital emergency department. Value Stream Mapping and process mapping were the most commonly used lean tool. Waiting time, lead time and Length of Hospital Stay (LOS) were the primary indicators reflecting improvements in this review.

This scientific study aims to thoroughly assess the current status and evaluate key indicators influencing healthcare and the workforce in selected European Union (EU) member states. Building upon this ambitious research agenda, we focused on a comprehensive descriptive analysis of selected indicators within the healthcare sector, including healthcare financing schemes, overall employment in healthcare and social care, the number of graduates in healthcare (including physicians and general practitioners), as well as migration patterns within the healthcare sector. The data forming the basis of this analysis were systematically gathered from Organization for Economic Co-operation and Development (OECD) and Eurostat databases. Subsequently, we conducted a robust correlation analysis to explore the intricate relationships among these indicators. Our research endeavour aimed to identify and quantify the impact of these indicators on each other, with a focus on their implications for overall healthcare and the workforce in the respective countries. Based on the findings obtained, we derived several significant conclusions and recommendations. For instance, we identified that increasing employment in the healthcare sector may be associated with the overall quality of healthcare provision in a given country. These findings have important implications for policymaking and decision-making at the EU level. Therefore, we recommend that policymakers in these countries consider implementing measures to further develop the healthcare sector while also helping to retain and attract qualified professionals in the healthcare industry. Such recommendations could include improving healthcare infrastructure, incentivizing professional education and further training in the healthcare sector, and implementing policies to support healthcare provision more broadly.

This study aims to guide future research by examining trends and structures in scholarly publications about digital transformation in healthcare. We analyzed English-language, open-access journal articles related to this topic from the Scopus database, irrespective of publication year. Using tools like Microsoft Excel, VOSviewer, and Scopus Analyzer, we found a growing research interest in this area. The most influential article, despite being recent, has been cited 836 times, indicating its impact. Notably, both Western and Eastern countries contribute significantly to this field, with research spanning multiple disciplines, including computer science, medicine, engineering, business, social sciences, and health professions. Our findings can help policymakers allocate resources to impactful research areas, prioritize multidisciplinary collaboration, and promote international partnerships. They also offer insights for technology investment, implementation, and policy decisions. However, this study has limitations. It relied solely on Scopus data and didn’t consider factors like author affiliations. Future research should explore specific collaboration types and the ethical, social, policy, and governance implications of digital transformation in healthcare.