Knee osteoarthritis (KOA) is one of the common causes of disability. Long-term effects of early to moderate KOA can be managed through non-surgical interventions. But due to overcrowding in Orthopaedic OPDs, doctors don’t have enough time for explaining non pharmacological interventions (NPIs) in detail to KOA patients. Hence, desired impact of NPIs is not evident among KOA patients. This study elaborates the degree of patient centered approach adopted during doctor patient interactions in the Orthopedics OPD of a tertiary care hospital of India. The study was conducted in 2012-2015. Eligible KOA patients (N=123) were divided into two groups for the RCT. The patients aged 40-65 years of either gender without significant deformity or co-morbidities needing surgery (e.g. meniscus tears etc) were enrolled.

hospital. Design: Retrospective secondary data analysis of patients who underwent cataract surgery from 1 January 2015 to 31 December 2017. Method: All adult patients diagnosed with cataract and posted for cataract surgery from 1 January 2015 to 31 December 2017 and were cancelled on the day or 24 hours before the intended procedure were included in the study. The causes for cancellation were retrieved from the patient files. Pareto analysis was done to find out the most common causes for the cancellation. Results: 14113 patients were posted for cataract surgery from 1st January 2015 to 31st December 2017, of which 13265 patient underwent cataract surgery while 848 patients were cancelled within 24 hours of scheduled start time due to different causes. The cancellation rate for on the day cancellation of cataract surgery for a peripheral eye hospital is found to be 6%. Conclusion: Systemic illnesses especially uncontrolled diabetes and hypertension are the most common causes for on the day cancellation of cataract surgery in a peripheral eye hospital.

Organ doses were calculated for diagnostic thorax CT, using data for 573 male Bangladeshi children from 0-10 years old, accounting for age and BMI. We have computed organ doses for an average male adult (170 cm*70 kg) undergoing a thorax CT examination using the ImPACT dose calculator and constructed ratios of organ dose to CTDIvol as a function of location of organs in the thorax, using a tube voltage of 120 kV for Siemens 64 slice CT scanner. BMIs are modelled as specific diameter water cylinders to obtain the factors for organ doses relative to the organ doses received by a reference adult. Results show that age operates a reduction in absorbed dose by a factor ranging from 0.33-0.79, which are consistent with other reference studies. Conversely, an increase of 1 BMI unit implies an increase in absorbed dose of up to 13% to maintain the quality standards of diagnostic imaging.

Health Information plays a vital role in the healthcare delivery system. When Informatics is applied to the field of healthcare for the better management of healthcare and patient outcome is called as ‘Medical Informatics’. The aim of modern health care system is to provide optimal health care through the meaningful use of medical informatics which has led to a greater demand for more elaborate and widespread data. In this context, the term big data evolved in health care setting. Big data is the data which constitutes of three ‘V’ viz. Volume, Velocity and Variety. However, utilization of big data requires good healthcare service management system, proper planning, and expertise in the analysis. This article is intended to highlight the importance of big data in medical informatics for better healthcare delivery and to examine some opportunities, applications and challenges. In this article, we discuss the applications of big data in healthcare, an overview of the techniques and tools in big data analysis and challenges in the application of big data in healthcare. The article is also intended to highlight on the importance of the proper use of data for delivering better health care.

Homelessness is a global burden. It is estimated that 100 million people are homeless worldwide according to United Nation estimates in the year of 2005. It is a major issue in developing nation such as India. The 2011 census counts there are 449,761 houseless households/ families and 17,73,040 homeless people in India - 52.9 % in urban areas, and 47.1% in rural areas. Homelessnesss is multifactorial in origin. Some of common reasons are poverty, drug addiction, natural disaster and war, family problem and unemployment. Homeless people are very fragile, physically and mentally, they prone to victim of physical and social assault. We need to recognize homelessness as a major public health problem and attempt to target this group for special care in order to promote equity in health system as part of Sustainable Development Goals. The Government should undertake physical upgradation of informal settlements including different types of slum areas; unidentified, identified, recognised, notified and unauthorised housing accompanied by the providing access to roads and basic amenities like electricity, water supply and sanitation.