Real-Time Executive Dashboards and Virtual Instrumentation: Solutions for Health Care Systems

2004 ◽  
pp. 476-483 ◽  
Author(s):  
Eric Rosow ◽  
Joseph Adam
10.2196/30545 ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. e30545
Author(s):  
Stephen Gilbert ◽  
Matthew Fenech ◽  
Martin Hirsch ◽  
Shubhanan Upadhyay ◽  
Andrea Biasiucci ◽  
...  

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.


Author(s):  
Dhuha Basheer Abdulla ◽  
Mohammed Dherar Younus

<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>


2004 ◽  
Vol 171 (4S) ◽  
pp. 42-43 ◽  
Author(s):  
Yair Latan ◽  
David M. Wilhelm ◽  
David A. Duchene ◽  
Margaret S. Pearle

2014 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Nevin Altıntop

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.


2015 ◽  
Vol 1 (2) ◽  
pp. 321-346 ◽  
Author(s):  
Shiri Noy ◽  
Patricia A. McManus

Are health care systems converging in developing nations? We use the case of health care financing in Latin America between 1995 and 2009 to assess the predictions of modernization theory, competing strands of globalization theory, and accounts of persistent cross-national differences. As predicted by modernization theory, we find convergence in overall health spending. The public share of health spending increased over this time period, with no convergence in the public-private mix. The findings indicate robust heterogeneity of national health care systems and suggest that globalization fosters human investment health policies rather than neoliberal, “race to the bottom” cutbacks in public health expenditures.


Sign in / Sign up

Export Citation Format

Share Document