Making the Case for Informatics in Global Health · Nursing, and Informatics faculty in the Center...
Transcript of Making the Case for Informatics in Global Health · Nursing, and Informatics faculty in the Center...
Evaluation of Global Health Data
Collection Platforms (Courtesy Andrew Dodd, Valliammai Chidambaram)
Description
• Health Informatics: the scientific field
that deals with the storage, retrieval,
sharing, and optimal use of biomedical
information, data, and knowledge for
problem solving and decision making1.
• Its application for improving global
health and achieving health equity for
all people worldwide2 can be called
Global Health Informatics.
• Informatics has the potential to improve
healthcare quality and enable the next
generation of biomedical and
translational research through the use
of technology and complex analytics
• We present example informatics
methods, infrastructure, and projects
undertaken by the Department of
Biomedical Informatics, College of
Nursing, and Informatics faculty in the
Center for Clinical Translational
Sciences.
• Generalized methods and
infrastructure developed at the
University are applicable to Global
Health and under-resourced settings.
Making the Case for Informatics in Global Health
Ramkiran Gouripeddi1,2, Katherine Sward1,2,3
Informatics
Infrastructure: Studying
the Environment
Acknowledgements
PRISMS is supported by NIBIB, NIH U54EB021973. This
work is partially supported by the Department of Biomedical
Informatics, University of Utah.
Contact: Ram Gouripeddi
References1. E. H. Shortliffe and J. J. Cimino, Eds., Biomedical Informatics:
Computer Applications in Health Care and Biomedicine, 4th ed.
2014 edition. New York: Springer, 2013.
2. J. P. Koplan et al., “Towards a common definition of global
health,” The Lancet, vol. 373, no. 9679, pp. 1993–1995, 2009.
3. Clear the air for children, UNICEF. Available:
https://www.unicef.org/publications/index_92957.html.
4. OpenAQ, Available: https://openaq.org/.
5. An Informatics Architecture for an Exposome, R. Gouripeddi,
Session II06 – Secondary Use of Data for Research (Interactive
Learning), AMIA 2016 Joint Summits on Translational Science,
March 22nd, 2016, San Francisco.
1Department of Biomedical Informatics, 2Center for Clinical and Translational Science, 3College of Nursing
University of Utah, Salt Lake City, Utah, USA
Genome ↔ Phenome ↔ Exposome
Exposome: Totality of human environmental
exposures from conception onwards,
complementing the genome4.
Exposome: Totality of human environmental
exposures from conception onwards,
complementing the genome4.
Exposure =
𝑓
𝑄𝑢𝑎𝑛𝑡𝑖𝑡𝑦 𝑜𝑓 𝐴𝑖𝑟 𝑃𝑜𝑙𝑙𝑢𝑡𝑎𝑛𝑡,𝐷𝑢𝑟𝑎𝑡𝑖𝑜𝑛,𝐹𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦,
𝑃𝑒𝑟𝑠𝑜𝑛 𝑎𝑛𝑑 𝐵𝑖𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝐶ℎ𝑎𝑟𝑎𝑡𝑒𝑟𝑖𝑠𝑡𝑖𝑐𝑠
Air Quality Sensors
Sensor Common Data Model
PRISMS Big Data Integration
Architecture5
UNICEF’s Clear the air for children Report3
• 300 million children live in areas where
outdoor air pollution exceeds international
guidelines by at least six times.
• Around 2 billion children live in areas that
exceed the World Health Organization annual
limit for fine particles (PM2.5) of 10 μg/m3
• Air pollution is linked with 1 out of every 8
deaths globally.
• In 2012 around 600,000 of these were
children under 5 years old
• Almost one million children die from
pneumonia each year, more than half of which
are directly related to air pollution.
OpenAQ4: Aggregates and shares open air quality data from
around the world including 36,331,845 air quality
measurements from 4,752 locations in 43 countries.Integration
of Global Air
Quality
Light-weight Electronic Health
Record for Refugee Centers