Scaling e-Health Services in Step with ICT Transformation
Hide / Show Abstract

Scaling e-Health Services in Step with ICT Transformation

e-Health

The concept of ICT adoption in healthcare delivery has attracted international initiatives with huge budgets, as a mechanism for bridging the global digital divide with equitable care delivery. e-Health is viewed as a major mechanism of Information Communication Technology (ICT) adoption, for proliferating equitable care delivery from palliative, curative to preventive care in the top cities to remote rural areas, especially for developing countries. e-Health delivery to remote locations relies on three major links between patient and care provider–Telecommunication infrastructure, back-end computing/storage infrastructure and End-User platforms. Case-studies and data from several pioneering e-Health initiatives in India have been gathered. However, the emphasis of this paper is more on the method used rather than the data samples, so that a typical data-driven governance system may use the same method and fit relevant data from their own demography to diligently prioritize investments with more accurate expectation of outcomes, by scaling e-Health services in step with ICT transformation.

Click to Access: 
    http://oecd.metastore.ingenta.com/content/pub-8039e1ab-en.pdf
  • PDF
  • http://www.keepeek.com/Digital-Asset-Management/oecd/science-and-technology/scaling-e-health-services-in-step-with-ict-transformation_pub/8039e1ab-en
  • READ
 
Chapter
 

Mapping information exchange types to communication and User-platform system requirements You do not have access to this content

English
Click to Access: 
    http://oecd.metastore.ingenta.com/content/pub-8039e1ab-46e660e9-en.pdf
  • PDF
  • http://www.keepeek.com/Digital-Asset-Management/oecd/science-and-technology/scaling-e-health-services-in-step-with-ict-transformation_pub/8039e1ab-46e660e9-en
  • READ
Author(s):
ITU

Hide / Show Abstract

In general, any redundant information from the data is removed before transmission and/or storage to optimize bandwidth and memory utilization by employing data compression standards such as JPEG for images, MPEG for video streams, ADPCM/CELP for voice, MP3 for audio, etc. The choice of compression standard is a trade-off between processing overheads, transmission bandwidth, and the accuracy of information needed. For example, medical images are passed through lossless compression technologies while video conferencing employs lossy compression. In cases where multiple choices are available, this study has prioritized accuracy first, bandwidth reduction next and then processing load while considering data sizes in compressed forms.