scholarly journals Real-time cloud system for managing blood units and convalescent plasma for COVID-19 patients

2021 ◽  
Vol 11 (4) ◽  
pp. 3593
Author(s):  
Dhuha Basheer Abdulla ◽  
Mohammed Dherar Younus
Keyword(s):  
Health Care ◽  
Real Time ◽  
Health Care Systems ◽  
Patient Death ◽  
Real Time System ◽  
Blood Unit ◽  
Lower Priority ◽  
Unit Management ◽  
Blood Banks ◽  
Care Systems

<span>In health care systems, blood management services are essential to saving lives. In such systems, when a unit of blood is required, if the system is not able to provide it on time, sometimes this may lead to patient death, especially in critical cases. Unfortunately, even if the required blood unit is available within the system, contradictions may occur and the required blood unit may not be allocated to critical cases on time, due to the allocation of these units to lower priority cases or due to the isolated operate of blood banks within these systems. So, to overcome these obstacles, we proposed a real-time system on a cloud, to managing blood units within the whole health care system. This system will allocate blood units depends on the deadline and the severity of the case that needs blood, in addition to the types, quantities, and position of available blood units. Where, this system eliminated the need for human intervention in managing blood units, in addition to offering the ability to easily develop the system to deal with new urgent requirements, which need new methods of managing blood units; as is happening today with the COVID-19 epidemic. This system increases the performance, transparency, reliability, and accuracy of blood unit management operations while reducing the required cost and effort.</span>

scholarly journals Solidarity and Responsibility in Health Care

2019 ◽  
Vol 12 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Ben Davies ◽  
Julian Savulescu
Keyword(s):  
Health Care ◽  
Health Care Systems ◽  
Healthcare Systems ◽  
Poor Health ◽  
Mutual Support ◽  
Autonomous Choice ◽  
Lower Priority ◽  
Care Systems ◽  
The Right ◽  
Health Burdens

Abstract Some healthcare systems are said to be grounded in solidarity because healthcare is funded as a form of mutual support. This article argues that health care systems that are grounded in solidarity have the right to penalise some users who are responsible for their poor health. This derives from the fact that solidary systems involve both rights and obligations and, in some cases, those who avoidably incur health burdens violate obligations of solidarity. Penalties warranted include direct patient contribution to costs, and lower priority treatment, but not typically full exclusion from the healthcare system. We also note two important restrictions on this argument. First, failures of solidary obligations can only be assumed under conditions that are conducive to sufficiently autonomous choice, which occur when patients are given ‘Golden Opportunities’ to improve their health. Second, because poor health does not occur in a social vacuum, an insistence on solidarity as part of healthcare is legitimate only if all members of society are held to similar standards of solidarity. We cannot insist upon, and penalise failures of, solidarity only for those who are unwell, and who cannot afford to evade the terms of public health.

scholarly journals Algorithm Change Protocols in the Regulation of Adaptive Machine Learning–Based Medical Devices

10.2196/30545 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e30545
Author(s):  
Stephen Gilbert ◽  
Matthew Fenech ◽  
Martin Hirsch ◽  
Shubhanan Upadhyay ◽  
Andrea Biasiucci ◽  
...  
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Real Time ◽  
Medical Devices ◽  
Health Care Systems ◽  
World Health ◽  
Health Care Need ◽  
Care Systems ◽  
Health Organization ◽  
Innovative Approaches

One of the greatest strengths of artificial intelligence (AI) and machine learning (ML) approaches in health care is that their performance can be continually improved based on updates from automated learning from data. However, health care ML models are currently essentially regulated under provisions that were developed for an earlier age of slowly updated medical devices—requiring major documentation reshape and revalidation with every major update of the model generated by the ML algorithm. This creates minor problems for models that will be retrained and updated only occasionally, but major problems for models that will learn from data in real time or near real time. Regulators have announced action plans for fundamental changes in regulatory approaches. In this Viewpoint, we examine the current regulatory frameworks and developments in this domain. The status quo and recent developments are reviewed, and we argue that these innovative approaches to health care need matching innovative approaches to regulation and that these approaches will bring benefits for patients. International perspectives from the World Health Organization, and the Food and Drug Administration’s proposed approach, based around oversight of tool developers’ quality management systems and defined algorithm change protocols, offer a much-needed paradigm shift, and strive for a balanced approach to enabling rapid improvements in health care through AI innovation while simultaneously ensuring patient safety. The draft European Union (EU) regulatory framework indicates similar approaches, but no detail has yet been provided on how algorithm change protocols will be implemented in the EU. We argue that detail must be provided, and we describe how this could be done in a manner that would allow the full benefits of AI/ML-based innovation for EU patients and health care systems to be realized.

160: Cost-Effectiveness of Medical Management Strategies of Nephrolithiasis in Different Health Care Systems

2004 ◽  
Vol 171 (4S) ◽  
pp. 42-43 ◽  
Author(s):  
Yair Latan ◽  
David M. Wilhelm ◽  
David A. Duchene ◽  
Margaret S. Pearle
Keyword(s):  
Health Care ◽  
Cost Effectiveness ◽  
Medical Management ◽  
Health Care Systems ◽  
Management Strategies ◽  
Care Systems

Barriers versus promotion: Culturally sensitive healthcare for elderly Turkish migrants in Austria and Germany

2014 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Nevin Altıntop
Keyword(s):  
Health Care ◽  
Health Care Systems ◽  
Elderly Care ◽  
Field Research ◽  
Diversity Management ◽  
Culturally Sensitive ◽  
Turkish Migrants ◽  
Care Givers ◽  
Individual Care ◽  
Care Systems

What is the perception of Turkish migrants in elderly care? The increasing number of elder migrants within the German and Austrian population is causing the challenge of including them in an adequate (culturally sensitive) way into the German/Austrian health care system. Here I introduce the perception of elder Turkish migrants within the predominant paradigm of intercultural opening of health care in Germany as well as within the concept of diversity management of health care in Vienna (Austria). The qualitative investigation follows a field research in different German and Austrian cities within the last four years and an analysis based on the Grounded Theory Methodology. The meaning of intercultural opening on the one hand, and diversity management on the other hand with respect to elderly care will be evaluated. Whereas the intercultural opening directly demands a reduction of barriers to access institutional elderly care the concept of diversity is hardly successful in the inclusion of migrants into elderly care assistance – concerning both, migrants as care-givers and migrants as care-receivers. Despite the similarities between the health care systems of Germany and Austria there are decisive differences in the perception and inclusion of migrants in elderly care that is largely based on an 'individual care' concept of the responsible institutions. Finally, this investigation demonstrates how elderly care in Germany and Austria prepares to encounter the demand of 'individual care' in a diverse society.

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