Intersectoral Health Human Resource Policy: The Impact on Population Health Outcomes

2004 ◽  
Author(s):  
Jane Underwood ◽  
Andrea Baumann ◽  
Jennifer Blythe
Keyword(s):  
Health Outcomes ◽  
Population Health ◽  
Human Resource ◽  
Health Human Resource ◽  
Human Resource Policy ◽  
Resource Policy ◽  
The Impact

scholarly journals Economic Development Strategies and Macro-and Micro-Level Human Resource Policies: The Case of India's “Outsourcing” Industry

ILR Review ◽  
2008 ◽  
Vol 62 (1) ◽  
pp. 39-72 ◽  
Author(s):  
Sarosh Kuruvilla ◽  
Aruna Ranganathan
Keyword(s):  
Economic Development ◽  
Human Resource ◽  
Development Strategy ◽  
Field Research ◽  
Rapid Expansion ◽  
Human Resource Policies ◽  
Human Resource Policy ◽  
Extensive Field ◽  
Resource Policy ◽  
Economic Development Strategies

This detailed case study of India's “outsourcing” industry illustrates the challenges in linking macro and micro human resource policies with an economic development strategy based on export-oriented services. The rapid expansion in the outsourcing of services to India has raised the possibility that this sector will be a key engine of India's economic growth. Based on extensive field research carried out over a four-year period, the authors of this study argue that four interrelated human resource policy challenges threaten the outsourcing industry's growth: two “macro” problems (current skill shortages and the inability of the country to produce higher levels of skills for the long-term growth and sustainability of the industry), and two micro problems (very high levels of employee turnover and rapidly increasing employee costs). The authors evaluate current policy responses and suggest options.

scholarly journals Big Data Analytics

2019 ◽  
Vol 87 (2) ◽  
pp. 24-26
Author(s):  
Shawna Bourne ◽  
Tarun Rihal
Keyword(s):  
Big Data ◽  
Health Outcomes ◽  
Environmental Health ◽  
Population Health ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Factors Affecting ◽  
Water Test ◽  
Safe Food ◽  
The Impact

Utilizing big data to guide decision-making for environmental health outcomes can provide the next level of health outcome improvements on a population basis. Historical shifts in overall health and longevity came with environmental health interventions such as safe food and water supplies, the treatment of waste and the establishment of standards that have reduced acute illnesses in the population. Big data analysis approaches have the potential to have a similar impact on quality and length of life by analyzing the factors leading to chronic illness in the population, and improving outcomes. Through the use of big data and machine learning, we can learn more about the environmental factors affecting population health. This article presents an opportunity to utilize pre-existing data to explore a novel way of assessing the impact of known health hazards. This is demonstrated by using drinking water test results as a case example. We demonstrate how big data analytics can be used in such a scenario to identify environmental public health risk. This approach is beginning to be used to collect new and better organized data with the intent of improving population health outcomes.

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