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Showing posts from May, 2024

IRADAI has Issued a New Circular and Its Going To Benefit Crores of People in India. 5 Important Takeaways

  Historic Circular for Health Insurance. IRADAI has Issued a New Circular and Its Going To Benefit Crores of People in India. 5 Important Takeaways . IRDAI released a master circular today. Most of the changes are applicable from immediate effect - unless there is a specific target date mentioned for the change. 1.Approval for Cashless facility: Basically now Insurance companies will have to ensure 100% Cashless Treatment (Claim Settlement) Reimbursement only in exceptional circumstances And The same should be done within 1 hours of receipt of the request.   2 ) Final authorization for Discharge from the hospita l: Insurance companies will have to grant final authorisation within 3 hours Patients/Family shall not be made to wait. In case of any delay, Insurer has to bear the cost and not the policyholder Point (c) is Important.   3) Grace Period for Premium Payment 15 Days for Monthly Instalments 30 Days for Quarterly/Half Yearly/Yearly So if you manage to renew within this tim

Caesarean Section Rates and Maternal and Neonatal Outcomes: A Comprehensive Analysis

  Caesarean Section Rates and Maternal and Neonatal Outcomes: A Comprehensive Analysis Caesarean section (C-section) is a surgical procedure to deliver a baby through an incision in the mother's abdomen and uterus. Although C-sections can be life-saving in certain situations, increasing rates of the procedure have raised concerns about potential adverse outcomes for both mothers and newborns. This scholarly article examines the relationship between C-section rates and maternal and neonatal mortality and morbidity, based on evidence from reputable institutions.   Maternal Outcomes   Mortality   A study published in the British Medical Journal found that the maternal mortality rate for women undergoing C-sections was higher than for those with vaginal deliveries (13.3 vs. 4.8 per 100,000).   The World Health Organization (WHO) reports that C-sections account for approximately 10% of maternal deaths globally.   Morbidity   Women who undergo C-sections are at increased risk

The Rise of Caesarean Sections: A Look at the Contributing Factors

  The Rise of Caesarean Sections: A Look at the Contributing Factors    A pie chart shows indications of category-1 emergency caesarean section in Gondar University specialized Hospital Northwest Ethiopia,  Wide Variation in C-Section Rates Across India The increasing rate of caesarean sections (C-sections) is a global phenomenon with significant implications for maternal and infant health. While the procedure can be life-saving in certain situations, its overuse raises concerns. This article explores the multifaceted reasons behind this trend, drawing on personal observations and insights. Current guidance from the World Health Organization (WHO) considers 10%-15% to be the ideal c-section rate . C-section rates have doubled globally since 2000 and in many Low and Middle income Countries exceed the 10%-15% rate, introducing concern about overuse . Elective c-sections and other non-medically indicated c-sections carry an increased risk of infection, may necessitate c-section for futu

AI: A Revolution in Healthcare: From Clinic 2 Home

  Artificial Intelligence (AI) is rapidly transforming the medical landscape, offering unprecedented potential to improve patient care, efficiency, and outcomes across diverse settings. From the bustling hospital ward to the comfort of home, AI is poised to revolutionize how we approach healthcare. Clinical Care: Enhancing Diagnosis and Treatment AI is already making a significant impact in clinical care, particularly in diagnosis and treatment planning.   Enhanced Diagnosis: AI algorithms can analyze vast amounts of medical data, including images, patient records, and genetic information, to identify patterns and predict disease risk with greater accuracy. This allows for earlier detection, leading to more effective interventions.   Personalized Treatment Plans : AI can tailor treatment plans based on individual patient characteristics, including genetic predispositions, lifestyle factors, and response to previous therapies. This personalized approach optimizes treatment effec