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Tripura Government to Implement E-Attendance System in Government Schools

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News on Education 3 ArdorComm Media Group Tripura Government to Implement E-Attendance System in Government Schools

In an effort to enhance the quality of education and monitor the performance of teachers and students, the Tripura government has announced plans to introduce an e-attendance system in all 4,912 government schools. The move, to be implemented under the Vidya Samiksha Kendra initiative, aims to bring transparency to the academic system and improve the overall functioning of schools. The digital attendance system will cover both teachers and students, with the entire process expected to be completed within a two-year timeframe. Initially launched by Prime Minister Narendra Modi in Gujarat in 2022, the Vidya Samiksha Kendra initiative is designed to enhance educational outcomes by leveraging technology and providing real-time monitoring of educational initiatives. Following the implementation of the e-attendance system, a geo-tagging feature will also be introduced to facilitate online access to essential school-related information. Once the e-attendance system is fully operational, monitoring of teacher and school performance will be conducted by the Chief Minister, relevant ministers, and senior officials. Training sessions for headmasters and other stakeholders are already underway to familiarize them with the new digital system. Tripura Chief Minister Manik Saha, who oversees the Education Department, recently inaugurated the state’s first Vidya Samiksha Kendra in Agartala. This center aims to digitize educational data, provide real-time visibility into educational initiatives, and support decision-making through data analysis and AI. With over 37,000 teachers and nearly 700,000 students enrolled across various levels of school education, the introduction of the e-attendance system is expected to significantly improve accountability and transparency in Tripura’s education sector.  

The Present and Future of AI in Healthcare

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Blog on health ArdorComm Media Group The Present and Future of AI in Healthcare

As technology advances at an unprecedented rate, its impact on various aspects of our lives becomes increasingly significant. In the realm of healthcare, artificial intelligence (AI) stands out as a transformative force with immense potential. However, to truly appreciate its importance and potential, it’s essential to delve into what AI has achieved and how it continues to shape the present and future of healthcare. The numbers paint a compelling picture of AI’s growing influence in healthcare. With over 500 AI algorithms approved by the U.S. FDA, and digital health startups receiving billions in investments, it’s evident that AI is not just a theoretical concept but a tangible reality in the healthcare landscape. Projections indicate that the global market for AI-based healthcare solutions will exceed $208 billion by 2030, underscoring the significant investments and expectations surrounding AI in healthcare. The promise of AI in healthcare is multifaceted, ranging from early disease detection to optimizing treatment plans and enhancing patient outcomes. For instance, AI algorithms have the potential to revolutionize cancer screening by analyzing vast amounts of data, including family history, imaging results, and genetic markers, to identify individuals at higher risk of developing the disease. Additionally, AI-powered interventions can monitor patients in real-time, enabling early detection of deteriorating health conditions such as sepsis, and facilitating timely medical interventions. Despite the immense potential, the full-scale implementation of AI in healthcare presents numerous challenges. From regulatory hurdles to the need for extensive clinical trials and the integration of AI into existing healthcare workflows, realizing the promise of AI requires concerted efforts from various stakeholders. Moreover, it’s crucial to recognize that AI is not a replacement for human expertise but rather a powerful tool that complements clinical decision-making. Human clinicians bring invaluable insights and intuition to the table, which AI augments by processing vast amounts of data and identifying patterns that might elude human observation alone. Currently, AI is being utilized in various medical applications, including screening tests for complex illnesses, monitoring patient vitals for signs of deterioration, and enhancing patient safety through early warning systems. Institutions are also leveraging AI to optimize resource allocation, improve operational efficiency, and streamline administrative tasks such as billing and coding. As AI continues to mature, its role in healthcare is expected to expand beyond individual applications to encompass organization-wide workflows, clinical decision support, patient engagement, and revenue cycle management. Looking ahead, the future of AI in healthcare holds even more transformative possibilities. Medical assistants powered by AI are undergoing trials in medical facilities, with the potential to streamline scheduling, access relevant patient information, and assist healthcare providers in delivering personalized care. Moreover, AI-driven algorithms are expected to play a crucial role in organizing and analyzing vast amounts of medical data, leading to more precise diagnoses, personalized treatment plans, and better patient outcomes. However, as AI becomes more integrated into healthcare systems, concerns about privacy, data security, and algorithmic bias must be addressed. Robust measures must be implemented to ensure that patient data is protected, and AI algorithms are trained on diverse and representative datasets to avoid perpetuating biases or disparities in healthcare delivery. AI holds immense promise as a transformative force in healthcare, revolutionizing patient care, clinical decision-making, and operational efficiency. While challenges remain, the collaborative efforts of researchers, clinicians, policymakers, and technology developers are paving the way for a future where AI augments human expertise to deliver better healthcare outcomes for all. As we embark on this journey, it’s essential to recognize that AI is not a replacement for human judgment but a powerful tool that, when wielded responsibly, has the potential to revolutionize the practice of medicine.  

India Leads Global Preterm Births in 2020, Lancet Study Reveals

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News on Health 10th Oct 2023 ArdorComm Media Group India Leads Global Preterm Births in 2020, Lancet Study Reveals

In 2020, India witnessed the highest number of preterm births globally, with a staggering 3.02 million cases, constituting over 20 percent of all premature births worldwide, as revealed by a study published in The Lancet journal. This research, conducted by experts from the World Health Organization (WHO), the United Nations Children’s Fund (UNICEF), and the London School of Hygiene and Tropical Medicine, UK, further disclosed that more than half of all premature births in 2020 occurred in just eight countries. Following India, the countries with the highest preterm birth rates were Pakistan, Nigeria, China, Ethiopia, Bangladesh, the Democratic Republic of the Congo, and the United States, according to the researchers. The notable prevalence of preterm births in these regions is partly attributable to their substantial population sizes, high numbers of total births, and underdeveloped healthcare systems that struggle to provide high-quality family planning, antenatal care, and childbirth services to all those in need. Globally, approximately 13.4 million babies were born prematurely in 2020, with nearly one million succumbing to complications associated with preterm birth. This data equates to roughly one in ten babies being born prematurely, before completing 37 weeks of pregnancy worldwide. Given that prematurity ranks as the leading cause of child mortality in their early years, there is an urgent need to bolster both preterm infant care and preventative measures, particularly focusing on maternal health and nutrition to enhance child survival, emphasize the authors of the study. Furthermore, preterm birth significantly increases the likelihood of major illnesses, disabilities, developmental delays, and even chronic diseases like diabetes and heart conditions in adulthood for those who survive. This study derives its estimates from data that is representative of populations and national statistics, enabling internationally comparable assessments for the year 2020. It highlighted that India had the highest incidence of preterm births in 2020, totalling 3.02 million cases, accounting for over a fifth of all preterm births worldwide. While most high preterm birth rates were observed in low and middle-income nations, rates of 10 percent or higher were also evident in high-income countries such as Greece and the United States. Within South Asia, Bangladesh reported the highest preterm birth rate in 2020 at 16.2 percent, followed by Pakistan at 14.4 percent, and India at 13.0 percent. In Latin America, the rates ranged from 5.8 percent in Nicaragua to 12.8 percent in Suriname. As birth registration and facility-based deliveries have increased, data on the prevalence of preterm births has improved. Nevertheless, there are still 92 countries lacking sufficient nationally representative data. Consequently, the authors call for sustained efforts to enhance data availability, quality, and sharing to better target support and action where it is most needed. Dr. Anshu Banerjee, Director of Maternal, Newborn, Child, and Adolescent Health and Ageing at WHO, emphasized the vulnerability of preterm babies to life-threatening health complications and the necessity for dedicated care and attention. He stressed the urgency of substantial investments in services supporting preterm infants and their families, as well as a heightened focus on prevention, particularly ensuring access to quality healthcare before and during pregnancies. The researchers underscored that preterm birth is not exclusive to low and middle-income countries, as the data clearly reveals its impact on families worldwide, including some high-income countries such as Greece (11.6 percent) and the United States (10 percent).