scholarly journals Design of parametric software tools: optimizing future health care performance by integrating evidence-based knowledge in architectural design and building processes

2011 ◽  
Author(s):  
J. B. Sabra ◽  
M. Mullins
Keyword(s):  
Health Care ◽  
Architectural Design ◽  
Software Tools ◽  
Evidence Based ◽  
Future Health ◽  
Future Health Care ◽  
Health Care Performance ◽  
Care Performance

Has Anyone Seen It?

2012 ◽  
Vol 26 (1) ◽  
pp. 189-212 ◽  
Author(s):  
Dagmar Radin ◽  
Aleksandar Džakula
Keyword(s):  
Health Care ◽  
Public Opinion ◽  
Parliamentary Elections ◽  
Political Actors ◽  
The Public ◽  
Public Sentiment ◽  
Public Opinion Surveys ◽  
Health Care Performance ◽  
Policy Arena ◽  
Care Performance

Over the past decade, public opinion surveys have shown that Croats are deeply dissatisfied with their health care system and asses it to be one of the most important issues. However, health care hardly makes it into any political discourse in Croatia. This study analyzes the results of a public opinion survey conducted before the 2007 parliamentary elections to find out what the public sentiment on health care performance in Croatia is and to analyze the reasons why health care is not addressed by political actors. Evidence suggests that while health care is the most salient issue today, the public often understands it poorly. Thus, in a political environment of competing issues, and given the complexity of tacking health care in the policy arena, politicians strategically avoid discussing the issue.

Evaluating Health Care Performance: Strengths and Limitations of Multilevel Analysis

2007 ◽  
Vol 49 (5) ◽  
pp. 707-718 ◽  
Author(s):  
Alai Tan ◽  
Jean L. Freeman ◽  
Daniel H. Freeman
Keyword(s):  
Health Care ◽  
Multilevel Analysis ◽  
Health Care Performance ◽  
Care Performance

YOUR FUTURE HEALTH CARE

1974 ◽  
Vol 4 (9) ◽  
pp. 79-79
Author(s):  
Anonymous
Keyword(s):  
Health Care ◽  
Future Health ◽  
Future Health Care

Measuring reopening readiness: a universal COVID-19 index for US states

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eunju Suh ◽  
Mahdi Alhaery
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Future Health ◽  
Content Type ◽  
Counter Measures ◽  
Care Services ◽  
Future Health Care ◽  
Pandemic Severity ◽  
Occupancy Rates ◽  
Bed Occupancy Rates

PurposeWhile United States is among countries with the world’s highest coronavirus infections, its approaches and policies to reopen the economy vary by state. A lack of objective criteria and monitoring toward satisfying the criteria can lead to another COVID-19 outbreak and business closures. Considering the pressing need to return to normalcy without a rebound of COVID-19 infections and deaths, an index that provides a data-driven and objective insight is urgently needed. Hence, a method was devised to assess the severity of the COVID-19 pandemic and determine the degree of progress any state has made in containing the spread of COVID-19.Design/methodology/approachUsing measures such as the weekly averages of daily new deaths, ICU bed occupancy rates, positive cases and test positivity rates, two indexes were developed: COVID-19 reopening readiness and severity.FindingsA clear difference in the pandemic severity trends can be observed between states, which is possibly due to the disparity in the state’s response to coronavirus. A sharp upward trend in index values requires caution prior to moving to the next phase of reopening.Originality/valueThe composite indexes advanced in this study will provide a universal, standardized and unbiased view of each state’s readiness to reopen and allow comparisons between states. This in turn can help governments and health-care agencies take counter measures if needed as to the anticipated demand for future health-care services and minimize adverse consequences of opening.

scholarly journals Changes in medical education to help physicians meet future health care needs

2017 ◽  
Vol 206 (9) ◽  
pp. 378-379 ◽  
Author(s):  
Judith N Hudson ◽  
Kathryn M Weston ◽  
Elizabeth A Farmer
Keyword(s):  
Health Care ◽  
Medical Education ◽  
Health Care Needs ◽  
Care Needs ◽  
Future Health ◽  
Future Health Care

Imprecise DEA framework for evaluating health-care performance of districts

Kybernetes ◽  
2017 ◽  
Vol 46 (4) ◽  
pp. 706-727 ◽  
Author(s):  
E. Ertugrul Karsak ◽  
Melis Almula Karadayi
Keyword(s):  
Health Care ◽  
Performance Evaluation ◽  
Health Care Organizations ◽  
Health Sector ◽  
Evaluation Methodology ◽  
Policy Makers ◽  
Content Type ◽  
Relative Evaluation ◽  
Health Care Performance ◽  
Care Performance

Purpose This paper aims to address performance measurement in the health-care sector, which gains increasing importance for most countries because growing health expenditures and increased quality and competition in the health sector require hospitals to use their resources efficiently. Health policy-makers and health-care managers stress the need for developing a robust performance evaluation methodology for health-care organizations. Design/methodology/approach This paper presents an imprecise data envelopment analysis (DEA) framework for evaluating the health-care performance of 26 districts in Istanbul, a metropolis with nearly 15 million inhabitants. The proposed methodology takes into account both quantitative and qualitative data represented as linguistic variables for performance evaluation. Moreover, this study reckons that weight flexibility in DEA assessments can lead to unrealistic weighting schemes for some inputs and outputs, which are likely to result in overstated efficiency scores for a number of decision-making units (in here, districts). To overcome this problem, a weight restricted imprecise DEA model that constrains weight flexibility in DEA is proposed. Findings The proposed imprecise DEA approach sets forth a more realistic decision methodology for evaluating the relative health-care performance and also enables to determine the best district in terms of health-care performance in Istanbul. Originality/value This paper includes the quality dimension, which has been overlooked in previous studies, into the health-care performance evaluation of districts. Moreover, it circumvents unrealistic weight flexibility which may distort the relative evaluation of health-care performance.

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