One of the most important parts of healthcare system is diagnostics. Nowadays, Indians have become more aware of their health, due to improved and better availability of health related information, increase in medical tourism, and expanding health insurance. The demand for better diagnostic facilities have increased with the increase in lifestyle related diseases, excesses use of chemicals in agriculture practices and change in food habits. It is expected that the Indian diagnostic market will grow from USD $5 billion in the year 2012 to USD $32 billion by the year 2020 with 20% CAGR (India Brand Equity Foundation 2015 ). Today patients have easy access of information regarding the health services and they have become more concerned about it as they look forward to receiving the maximum value for their money. To win the confidence of the patients and to maintain that trust, it is required to deliver the right services to the right person at the right time. The purpose of this study was to develop a scale to measure the service quality at pathology laboratory. A thorough review of literature revealed that there are studies related to healthcare service quality but there is no such established scale to measure service quality of pathology laboratory. Thus, the authors strived to develop a reliable and valid instrument to measure the patients' perception toward pathology laboratory service quality. For this exploratory study was conducted on the sample of 80 patients of the laboratories in Jaipur city. The reliability and factor structures were tested to purify the scale. The findings revealed 13 items, comprising of three dimensions of service quality: responsiveness, tangibility, and reliability.

An empirical relationship is examined between the Current Account Balance (CAB) and liberalisation expressed in terms of Financial Openness (FO) and Trade Openness (TO) for a quarterly period of January 2000 to March 2016. The primary domain of this study encompasses the evaluation of impact of Financial Openness and Trade Openness on CAB, over a select period of time (long run and short run), through the Auto Regressive Distributed Lag model (ARDL). ARDL model was developed and tested empirically, in order to anticipate the likely existence of stationarity associated with the time series data over the study period. Empirical results suggested that both the selected variables (FO and TO), have significant impact on CAB in long run whereas in case of short term, it was observed that only TO had significant impact on CAB. Therefore, researchers concluded that policy makers should focus more on Trade Openness to increase the exports over a short as well as long period of time. Similarly, on import basis government should concentrate more on FDI inflows over long run, which shall lead to an increase in employment level and productivity that shall finally act as an impetus to increase the exports from India to the rest of world.

Population (million) GDP per capita, PPP

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