@article {2190, title = {An Evaluation of the Effectiveness of Pharmacognosy Research and a Pharmaceutical Resource Management in Hospitals}, journal = {Pharmacognosy Journal}, volume = {15}, year = {2023}, month = {December 2023}, pages = {1224-1229}, type = {Research Article}, chapter = {1224}, abstract = {

Objective: This research paper aims to evaluate the relative efficacy of pharmacognosy research on the top 40 tertiary hospitals and its pharmacy in India according to Newsweek{\textquoteright}s 2021 ranking. Purpose: India{\textquoteright}s pharmaceutical market is now estimated to be worth $50 billion. India is a significant pharmaceutical exporter, reaching more than 200 nations with its exports. This study will help to identify whether the pharma industry is working efficiently in selected Indian hospitals or not. Thus, to create a bench marking for the hospital pharmacies in India. Design/methodology/approach: Data for the study came from public and private hospitals{\textquoteright} official websites, financial records, and government notifications. Cross- sectional data analyses were done using a Slack-Based model and data envelopment analysis (DEA). STATA was the software used to scrutinize the results effectively. Results: Thirteen hospital pharmacies out of a total of 40 are judged to be relatively technically efficient overall, according to the research. The findings of the slack analysis demonstrate that government hospitals and pharmacies are better able to handle slack and effectively manage input and output. Conclusion: The researchers also set upped a benchmarking hospital both for private and government healthcare settings for pharmacognosy research. Thus, it can be utilized for the betterment of the pharmacies.\ 

}, keywords = {Data envelopment analysis (DEA), Efficiency, Hospitals, India, Pharmacognosy research, Pharmacy, SBM model}, doi = {10.5530/pj.2023.15.222}, author = {Suresh Chandra Akula and Pritpal Singh and Prikshat Kumar Angra and Gagandeep Singh Cheema and Anup Sharma and Mohd Farhan} } @article {1693, title = {Modeling relation between hospital efficiency and customer satisfaction of tertiary hospitals: A case of data envelopment analysis}, journal = {Pharmacognosy Journal}, volume = {13}, year = {2021}, month = {November 2021}, pages = {1527-1532}, type = {Research Article}, chapter = {1527}, abstract = {

In the present circumstance, it has turned out to be difficult for hospitals to guarantee increasingly productive methods for administrations. Under the current conditions, it is fundamental to discover the fitting asset blend and its use. So also, it is important to distinguish the sources of relative cost wastefulness {\textendash} specialized and allocated both. The center point of this study is on surveying the hospitals in efficiency terms, for example, the perfect measure of inputs to deliver a given degree of output. The other inspiration driving this investigation has been to see how to address an issue of benchmarking in hospitals. Data envelopment analysis utilizes an amazing procedure of linear programming to help in doing this. The research of the study incorporates two different aspects one is to evaluate efficiency of hospitals considered for study and another is find satisfaction level of patients from these hospitals to find association among both these dimensions, Moreover, this study gives the proof that medical hospital size has a critical negative impact on efficiency of hospital i.e. Present research indicates that smaller hospitals have a higher level of efficiency than larger and medium-size hospitals, smaller size hospitals average efficiency is .80. The average efficiency of medium size hospitals is .75 and the large hospital is .71. Results of research also explains that efficiency is considered to be negative moderator between relation of number of specialized doctors and patient satisfaction. Results of study suggested that higher level of efficiency level of hospitals lessen the positive effect of specialized doctors on patient satisfaction.

}, keywords = {Association, Customer satisfaction, Hospital efficiency, Negative moderator}, doi = {10.5530/pj.2021.13.194}, author = {Suresh Chandra Akula and Pritpal Singh} }