Big data in global health: improving health in low- and middle-income countries
Rosemary Wyber, Samuel Vaillancourt, William Perry, Priya Mannava, Temitope Folaranmi & Leo Anthony Celi
Bulletin of the World Health Organization 2015;93:203-208.
doi: http://dx.doi.org/10.2471/BLT.14.139022
ABSTRACT
Over the last decade, a massive increase in data collection
and analysis has occurred in many fields. In the health sector, however,
there has been relatively little progress in data analysis and
application despite a rapid rise in data production. Given adequate
governance, improvements in the quality, quantity, storage and analysis
of health data could lead to substantial improvements in many health
outcomes. In low- and middle-income countries in particular, the
creation of an information feedback mechanism can move health-care
delivery towards results-based practice and improve the effective use of
scarce resources. We review the evolving definition of big data and the
possible advantages of – and problems in – using such data to improve
health-care delivery in low- and middle-income countries. The collection
of big data as mobile-phone based services improve may mean that
development phases required elsewhere can be skipped. However, poor
infrastructure may prevent interoperability and the safe use of patient
data. An appropriate governance framework must be developed and enforced
to protect individuals and ensure that health-care delivery is tailored
to the characteristics and values of the target communities.
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