This paper presents the description on Healthcare organizations are required to focus on Total quality improve:- Rendering acceptable, quality health services to patients at affordable price within reasonable price, within in a reasonable time; Applying zero errors to all patients services; maintaining a continuous error prevention program; Training employees in medical care on such aspects as error prevention,reducing delay time and providing prompt reasonable to patients needs; management system have always improvement in such systems to realize the true nature of the quality of healthcare and to be motivated towards improving this quality.In spite of billions of dollars of money spent worldwide, most of the healthcare is seen to be ineffective, inefficient and inadequate. Therefore there is a crying need to bring about a paradigm shift in the quality of health care delivery and to monitor and sustain it. It is obvious that those institutions, which are quality conscious and are committed to continuous quality improvement, will gain the highest consumer acceptance and will flourish at the expense of others. The ‘Quality Revolution’, as it is sometimes referred to, is nothing but putting the patient at the heart of health care and wrapping the care around it, rather than the other way around. Quality Measuring and assessing service is important, particularly when multiple sources of variation are present. Analyzing all medical processes to remove rework and waste could build health care quality and lead to significant reductions in patient cost. The use of quality-assurance programs and statistical tools can be directly applied to health-care organizations with improved quality of patient’s objectives and the results of care from the patient’s viewpoint.

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

Depression and anxiety are increasing at global and national level at the rampant rate and hence are the main reason for deterioration in mental health. This, in turn, leads to a poor physical health. With the increase in the incidence of the rate of both the disorder, it is a silent killer as well. There are many medical and non-medical treatments are available for the cure of anxiety and depression. A few nutrients such as zinc, selenium, iron, magnesium, iodine, and Vitamin A, B complex, D, and Vitamin C have also shown a beneficial role in the improvement of anxiety and depression symptoms. There is a possible role of optimal physical activity in reduction of symptoms of anxiety and depression. Very few studies are available on the role of these micronutrient intakes and physical activity on anxiety and depression. Hence more research is required in this field of study.

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We think about interoperability only in today’s terms. Looking ahead, the demands that future technologies will make on health information exchange could be large, as could the health because of interoperability. This paper would present the description on Healthcare Information System organizations and communities as a standard to underpin clinical information exchange. A number of significant problems results are directly from the way the computable entries in clinical documents exchange represented currently. In this paper, the information exchange with other system and also supporting communication of electronic healthcare records across organization boundaries. The CCD is an XML-based specification for exchange of clinical summary information. The HL7 Reference Information Models expressed in the Clinical Document Architecture Release 2 (CDA R2), an information exchange specification generic to any type of clinical information. Hence, the patient’s health information is easily communicated points of care and improves quality services.