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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 441 Healing Our Future : Leadership for a Changing Hea By Andy Garman | HC 442 Global Fitness for Global People: How to Manage an By Helen Spencer-Oatey | HC 443 Handbook of Investigation and Effective CAPA Syste By Jose (Pepe) Rodriguez-Perez |
| Click Here to learn about the Recent Books added to our collection on different topics of Management. |
| Articles |
| Conceptualizing fairness in the secondary use of health data for research: A scoping review. By Cervera de la Cruz Accountability in Research: Policies & Quality Assurance. Apr2025, Vol. 32 Issue 3, p233-262. 30p. Abstract :With the introduction of the European Health Data Space (EHDS), the secondary use of health data for research purposes is attracting more attention. Secondary health data processing promises to address novel research questions, inform the design of future research and improve healthcare delivery generally. To comply with the existing data protection regulations, the secondary data use must be fair, among other things. However, there is no clear understanding of what fairness means in the context of secondary use of health data for scientific research purposes. In response, we conducted a scoping review of argument-based literature to explore how fairness in the secondary use of health data has been conceptualized. A total of 35 publications were included in the final synthesis after abstract and full-text screening. Using an inductive approach and a thematic analysis, our review has revealed that balancing individual and public interests, reducing power asymmetries, setting conditions for commercial involvement, and implementing benefit sharing are essential to guarantee fair secondary use research. The findings of this review can inform current and future research practices and policy development to adequately address concerns about fairness in the secondary use of health data. | |||
| How Hospitals Differentiate Health Information Technology Portfolios for Clinical Care Efficiency: Insights from the HITECH Act. By Pye, Jessica Information Systems Research. Mar2025, Vol. 36 Issue 1, p239-260. 22p. Abstract :Our research reveals the significant impact of evolving policy uncertainty on hospital strategies to mitigate cost-based performance deficits in clinical care processes through differentiation in search for health information technology (HIT). Key for hospital administrators and managers, our findings reveal the benefit of leveraging external benchmarks for performance feedback, enabling strategic, innovative approaches to HIT investments tailored to enhance clinical care efficiency and cost-effectiveness. Moreover, our findings have important implications for healthcare policymakers, highlighting the necessity to consider the varied responses of hospitals to policy fluctuations. Recognizing that hospitals proactively adapt their HIT portfolios in anticipation of new laws, and that these adaptations are most diverse under moderate policy uncertainty, is crucial. This nuanced understanding can guide policymakers in fostering an environment that encourages both the exploration of novel technologies and the widespread adoption of effective solutions across the healthcare spectrum. By bridging the gap between policy development and hospital administration, our work offers a road map for aligning strategic technological differentiation with policy objectives, ultimately enhancing healthcare delivery and outcomes. Hospitals have implemented health information technology (HIT) for clinical care to address rising operating costs in recent years. We integrate behavioral and institutional perspectives to explain how hospitals differentiate technological search relative to industry peers (i.e., search differentiation) for HIT portfolios. In the context of the U.S. healthcare industry, we theorize that hospitals` search differentiation for HIT results jointly from idiosyncratic learning in response to cost-based performance shortfalls and isomorphic pressures in relation to changing policy uncertainty as the Health Information Technology for Economic and Clinical Health (HITECH) Act has unfolded. Based on a panel data set from 3,319 hospitals in 2007–2014, we demonstrate that when costs increase relative to aspiration level, a hospital differentiates its search for HIT by exploring more novel technologies for clinical care relative to peers. As policy uncertainty declines from the conceptualization phase to the enactment phase of the HITECH Act, a hospital`s search differentiation for HIT increases to a greater extent in response to cost-based performance shortfalls as lower uncertainty reduces the need to imitate peers` search. As policy uncertainty further declines from the enactment phase to the enforcement phase of the HITECH Act and reaches its lowest level, however, the hospital`s search differentiation for HIT increases to a smaller extent in response to cost-based performance shortfalls because of policy incentives and professional norms to promote implementation of common technologies. Overall, we provide a more holistic picture of how uncertainty | |||
| Optimisation algorithm in health care: review on the State-of-the-Art models. By Shivaprasad More Journal of Experimental & Theoretical Artificial Intelligence. Apr2025, Vol. 37 Issue 3, p413-436. 24p. Abstract :Humans are affected by some diseases due to ageing, which raises the necessity of effective healthcare operation schemes. Such techniques are necessary to provide efficiently and cost-effectively service to patients at the proper time. The huge knowledge required to process the HC application is obtained from the developed HC technologies. Research has recently shown that artificial intelligence (AI) can facilitate extraordinary performance for various HC applications. However, recently different metaheuristic-based optimisation algorithms have been developed to improve AI-based HC techniques` performance. Therefore, this review discusses different HC models that leverage the benefits of metaheuristic algorithms to achieve better performance. The major goal of this review is to support the researchers seeking a better reference to develop secure and smarter metaheuristic-based HC models. These models are efficient in reducing system complexity by improving efficiency. But in the future, many openings are available to meet such requirements efficient techniques that satisfy all the existing challenges. This developed review has surveyed and summarised different challenges and future directions to understand the available challenges. This research reviews various journal publications based on the metaheuristic approach.es from the recent papers available in standard journals from 2015 to 2021. | |||
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| News |
| RML Hospital starts helpline, re-operationalises its heatstroke unit amid rising temperatures By Economic Times; May 2, 2025 |
| Only 8 pc of bacterial infections in India treated appropriately in 2019: Lancet study By Economic Times; May 1, 2025 |
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