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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 480 Health Insurance Coverage: Federal Programs Vs. Pr By Fergus Friedman | HC 481 Risk Management for Medical Device Manufacturers By Joe W. Simon | HC 482 The Emergence and Future of Health Tourism in the By Malcolm Cooper, Editor;Athula Gnanapala, Editor;M. |
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| Articles |
| Allocation‐routing problem in a multi‐hospital home hospitalization system: the case of a healthcare provider in Portugal. By Bonomi, Valentina;Lopes, Maria;Santos, Daniel Rebelo International Transactions in Operational Research. Nov2026, Vol. 33 Issue 6, p4110-4141. 32p. Abstract :Home hospitalization (HH) represents a paradigm shift in healthcare delivery, providing vital patient‐centered services that enhance care quality and significantly reduce the burden on conventional healthcare facilities. Given the complexity of HH systems, where specialized nurses and doctors allocate their time between inpatient and outpatient systems, efficiently managing their time and workload becomes critical. For this purpose, we develop the multi‐hospital home hospitalization allocation‐routing problem as a mixed‐integer linear programming formulation. We define three different objective functions: minimizing routing costs, workload balancing among nurses, and the minimization of employed doctors. The model is solved by optimizing each objective function individually and then analyzing the trade‐offs by combining the functions in pairs, generating a series of two‐objective Pareto frontiers as part of a comprehensive multi‐objective framework. The model is validated using benchmark instances derived from HH historical data. Through a single‐objective perspective, we provide an economic analysis that assesses the cost implications and the benefits of opening new HH units. Furthermore, the bi‐objective results are analyzed presenting Pareto frontiers to facilitate the provider`s decision‐making process regarding the trade‐offs between different objectives. A technique for order of preference by similarity to ideal solution (TOPSIS) analysis is subsequently applied to identify the most promising solution according to varying objectives weights. Finally, useful managerial insights are developed to assess the impact of prioritizing one objective function over the other and the economi implications on different strategic options. | |||
| DISCHARGED PATIENTS` ADHERENCE TO MEDICATION INTERVENTIONS IN ONLINE HEALTHCARE PLATFORMS: EXPLORING THE COMPLEX ONLINE-OFFLINE DILEMMAS. By Guo, Huijing;Shen, Kathy Ning;Wang, Le;Kong, Yi;Mo, Jiahui Journal of Electronic Commerce Research. 2026, Vol. 27 Issue 4, p373-395. 23p. Abstract :Adherence to medication interventions is a critical factor in achieving desired health outcomes and reducing healthcare costs, particularly among discharged patients. However, discharged patients usually exhibit high nonadherence rates. Motivated by exploring the potential unintended consequences of online health platforms, when patients distrust their attending doctors, this study aims to identify and formulate the factors influencing discharged patients` medication adherence. We conducted a sequential analysis. Phase I involved an exploratory investigation through in-depth semi-structured interviews with ten discharged patients. Inspired by Phase I findings, Phase II empirically validate a theoretical model using an online survey with 309 participants. Results showed that patients` distrust in doctors` competence emerged as crucial in harming medication adherence. Meanwhile, the study uncovered the potential pitfalls of online health platforms with professionals` assistance in patients` medication behaviors. The study also revealed the complex online-offline dilemmas from hospitalization to self-management phases faced by discharged patients. This study contributes to the existing literature by uncovering potential challenges in online platforms when the complex online-offline dilemma exists. Practically, this study can benefit related stakeholders to pay attention to the potential conflicts and explore opportunities to integrate online medical services and traditional clinical systems. | |||
| Embedding character in leadership capabilities: a strategic-business approach for value creation in healthcare organisations. By Salvatore, Fiorella Pia;Spinnato, Rosa International Studies of Management & Organization. Fall2026, Vol. 56 Issue 3, p430-447. 18p. Abstract :The current healthcare sector faces complex organizational changes driven by fiscal constraints, demographic shifts, technological evolution, and rising demands for accountability. While leadership is recognized as essential to managing such transitions, prevailing models focus on procedural or behavioral competencies, marginalizing the moral and emotional dimensions crucial to sustained change. This article argues that character, defined as the integration of moral values, discernment, and integrity, can be seen a strategic intangible asset that highlights effective leadership in healthcare organization`s transformation. Drawing on literature from management and organization studies, including strategic leadership theory and behavioral analysis, alongside business-specific research, this study conducts an integrative theoretical review. Foundational works inform the development of a conceptual framework positioning character as central to strategic change, resilience, and trust-building in the governance of healthcare organizations. The findings suggest that excluding character from leadership models in high-stakes environments like hospitals weakens organizational integrity and stakeholder alignment. The article concludes that character-driven leadership is not only ethically imperative but also operationally and economically vital. Practical implications include rethinking leadership development, HR policies, and organizational design to embed character within the strategic core of governance of healthcare organization. | |||
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| News |
| IPO-bound Paras Healthcare targets 36 pc rise in bed capacity to 3,011 by FY28 By Economic Times; Jul 8, 2026 |
| Cardiac dysfunction could predict tissue damage in brain regions linked to Alzheimer`s: Study By Economic Times; July 7, 2026 |
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