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Challenges and potential solutions for big data implementations in developing countries.

D Luna1, J C Mayan, M J García

  • 1Daniel Luna, MD, MSc, PhD (Cand.), Chief Information Officer, Hospital Italiano de Buenos Aires, Pte. Perón 4190 (C1181ACH), Capital Federal, Argentina, Tel/Fax: +54 11 4959 0507,

Yearbook of Medical Informatics
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

Big Data offers healthcare opportunities, but developing countries face challenges in implementation. This review outlines these hurdles and potential solutions for successful Big Data adoption in global health.

Keywords:
Big datacomputing methodologiesdata miningdeveloping countrieshealth information systems

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Area of Science:

  • Health Informatics
  • Data Science
  • Information Technology

Background:

  • The increasing volume, velocity, and variety of data necessitate a paradigm shift to Big Data.
  • Traditional data management approaches are insufficient for modern data challenges.

Purpose of the Study:

  • To identify challenges in implementing Big Data projects in the health sector of developing countries.
  • To explore potential solutions for successful Big Data adoption in these regions.

Main Methods:

  • A non-systematic literature review was conducted using PubMed and Google Scholar.
  • Keywords included "big data", "developing countries", "data mining", "health information systems", and "computing methodologies".

Main Results:

  • Common Big Data implementation challenges include data growth, infrastructure, workforce training, interoperability, and privacy/security.
  • Developing countries face unique characteristics that exacerbate these challenges.

Conclusions:

  • Big Data presents significant opportunities for advancing healthcare.
  • Addressing specific challenges is crucial for developing countries to leverage Big Data effectively in health.