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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
HC 477 Pharmacy Benefit Managers: Roles, Regulations and By Pamela S. Cline | HC 478 The Emergence and Future of Health Tourism in the By Malcolm Cooper, Editor;Athula Gnanapala, Editor;M. | HC 479 Quantum Care : A Deep Dive Into AI for Health Deli By Rohit Mahajan |
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| Articles |
| Synergetic fusion of Reinforcement Learning, Grey Wolf, and Archimedes optimization algorithms for efficient health emergency response via unmanned aerial vehicle. By Gupta, Himanshu;Sreelakshmy, K.;Verma, Om Prakash;Sharma, Tarun Kumar Expert Systems. Jun2026, Vol. 43 Issue 6, p1-21. 21p. Abstract :Owing to the recent technological innovations, unmanned aerial vehicles (UAVs) are progressively employed in various civil and military applications, including healthcare. This requires estimating an optimum route under various real‐world complexities, such as non‐uniform obstacles. However, most of the reported work considers only uniform obstacles as an object, which limit their practical applicability. Hence, Archimedes optimization algorithm (AOA) is examined to overcome this limitation. Further, it is observed that many a time, AOA over‐exploits the search space, resulting in higher computational time. Therefore, the present work fuses AOA with grey wolf optimizer (GWO) to improve the convergence capability. Also, reinforcement learning (RL) is employed to intelligently switch between the exploration and exploitation phases. The efficacy of the developed algorithm is statistically analysed and validated against various metaheuristics on several benchmark functions. The simulated results verified that the developed RLGA provides optimal or near‐optimal solutions more efficiently relative to other metaheuristics. Moreover, it also affirms the hypothesis that the proposed modifications significantly improve the convergence speed of AOA. Finally, the appropriateness of RLGA is tested and validated by rigorous experimentation on real‐world 3D‐route estimation problems for UAVs. The simulated results reveal that RLGA produces a flyable path with 51.46%, 62.06%, and 70.42% lesser cost than RLGWO, AOA, and GWO, respectively. This ensures the employability of RLGA for efficient medical assistance in minimum time‐, energy‐, and transportation‐cost with safe and smooth UAV auto‐navigation for developing drone doctors. | |||
| From Cash to Care: Impact of Conditional Cash Transfers on Continuum of Care for Maternal and Child Health in India. By Taneja, Bhawna;Roy Chowdhury, Indrani Journal of Development Studies. Jun2026, Vol. 62 Issue 6, p974-999. 26p. Abstract :The study examines the impact of India`s largest nationwide conditional cash transfer program, Pradhan Mantri Matru Vandana Yojana (PMMVY), which provides sequential cash transfers to pregnant and lactating mothers to improve maternal and child healthcare utilisation and child health outcomes. The study is based on two rounds of National Family Health Survey. Our identification strategy utilises Matched Difference-in-Difference method based on the implementation of the scheme as a quasi-experimental design, where the eligibility criteria is used to assign the treatment and control groups. The findings reveal a statistically significant positive effect on the utilisation of recommended Continuum of Care services for maternal and child health. The magnitude of the effect is almost 30 percent of the mean value of the control group, excluding immunisation, and 19 percent including complete child immunisation. In addition, we find positive effects of cash transfers on the utilisation of postnatal care for newborns. There is also a reduction in the probability of the child being wasted, which is 11 percent of the mean value of the control group. The baseline estimation is supported by a series of sub-sample analyses and placebo checks | |||
| The Interactive Effect of Physician–Hospital Organization and External Environment on Patient Satisfaction. By Hirunyawipada, Tanawat;Zolfagharian, Mohammadali;Pan, Yue;Chaudhuri, Malika Journal of Marketing Research (JMR). Jun2026, Vol. 63 Issue 3, p560-583. 24p. Abstract :The unique characteristics of the health care industry have given rise to an intriguing and pervasive form of joint venture between hospitals and physicians known as physician–hospital organization (PHO). With transaction cost analysis as the overarching theory, the authors draw on practitioner insights and literature to reveal the advantages and disadvantages of PHOs and identify the boundary conditions under which PHOs are more likely to enhance patient satisfaction. They test the proposed model using multiyear panel data from 19,134 observations in the U.S. health care industry. The results underscore PHOs` capability to enhance patient satisfaction with hospital services. The significant main effect grows stronger when the market is characterized by intense competition among hospitals, high mortality rates, urban settings, and high unemployment rates. The post hoc analysis reveals that PHOs can additionally improve patient recommendation of a hospital indirectly through patient satisfaction. This study contributes to research on governance structure and customer satisfaction by establishing a connection between PHO and patient satisfaction and identifying its boundary conditions. The findings highlight several fertile avenues for research. | |||
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| Govt issues Ebola advisory, says no cases detected yet By Economic Times; June 2, 2026 |
| SC issues notice to HDFC CEO on Lilavati Trust plea against HC quashing FIR against him By Economic Times; June 1, 2026 |
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