scholarly journals Surge Capacity for Health Care Systems: Early Detection, Methodologies, and Process

2006 ◽  
Vol 13 (11) ◽  
pp. 1135-1137 ◽  
Author(s):  
Peter L. Estacio
Author(s):  
Shawni Dutta ◽  
Samir Kumar Bandyopadhyay

In India, the death toll due to breast cancer is increasing at a rapid pace. Only early detection and diagnosis is the way of control but it is a major challenge in India due to lack of awareness and lethargy of Indian womentowards health care and regular check-up. But the major obstacle in India is expensive health care system and unavailability of proper infrastructure, especially in breast cancer treatment. This paper aims in obtaining an automated tool that will exploit patient’s health records and predict the tendency of being affected in breast cancer. Gradient Boost classifier is used as an automated tool that predicts the chance of being affected in breast cancer disease. Early detection of this disease will assist health care systems to provide counter measures in order to save patients’ life. The proposed model is evaluated against other peer classifiers such as Support Vector Machine (SVM) and K-Nearest Neighbour (K-NN), Naïve bayes classifier, Adaboost classifier, Decision Tree (DT) classifier, and Random Forest (RF) Classifier. The proposed method achieves encouraging result with an accuracy of 97.34%, F1-Score of 0.97 Cohen-Kappa Score of 0.94 and MSE of 0.0266. The Gradient Boost algorithm attains the lowest error rate along with highest efficiency which might be the best choice of algorithm for this problem and prediction of disease.


2009 ◽  
Vol 3 ◽  
pp. S13-S16 ◽  
Author(s):  
Tor K. Larsen ◽  
Inge Joa ◽  
Johannes Langeveld ◽  
Jan O. Johannessen

2020 ◽  
Vol 11 (05) ◽  
pp. 825-838
Author(s):  
Andrew J. Knighton ◽  
Pallavi Ranade-Kharkar ◽  
Kimberly D. Brunisholz ◽  
Douglas Wolfe ◽  
Lauren Allen ◽  
...  

Abstract Background The rapid spread of severe acute respiratory syndrome coronavirus-2 or SARS-CoV-2 necessitated a scaled treatment response to the novel coronavirus disease 2019 (COVID-19). Objective This study aimed to characterize the design and rapid implementation of a complex, multimodal, technology response to COVID-19 led by the Intermountain Healthcare's (Intermountain's) Care Transformation Information Systems (CTIS) organization to build pandemic surge capacity. Methods Intermountain has active community-spread cases of COVID-19 that are increasing. We used the Centers for Disease Control and Prevention Pandemic Intervals Framework (the Framework) to characterize CTIS leadership's multimodal technology response to COVID-19 at Intermountain. We provide results on implementation feasibility and sustainability of health information technology (HIT) interventions as of June 30, 2020, characterize lessons learned and identify persistent barriers to sustained deployment. Results We characterize the CTIS organization's multimodal technology response to COVID-19 in five relevant areas of the Framework enabling (1) incident management, (2) surveillance, (3) laboratory testing, (4) community mitigation, and (5) medical care and countermeasures. We are seeing increased use of traditionally slow-to-adopt technologies that create additional surge capacity while sustaining patient safety and care quality. CTIS leadership recognized early that a multimodal technology intervention could enable additional surge capacity for health care delivery systems with a broad geographic and service scope. A statewide central tracking system to coordinate capacity planning and management response is needed. Order interoperability between health care systems remains a barrier to an integrated response. Conclusion The rate of future pandemics is estimated to increase. The pandemic response of health care systems, like Intermountain, offers a blueprint for the leadership role that HIT organizations can play in mainstream care delivery, enabling a nimbler, virtual health care delivery system that is more responsive to current and future needs.


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