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| If you can't write an 8000 word paper, I feel bad for you son... |
My Information Culture class this semester has one goal--write and submit an article for publishing. We've spent half of the semester brainstorming, refining ideas, researching--all that fun stuff. I'm hoping to get published and use my research findings as the basis for a poster competition at the Institute of Electrical and Electronics Engineers Conference this summer. I still have a long way to go, but I'm so excited about the direction of my work!
The Roles of Usability and Design in Creating and Selecting Health Information Technologies for Developing Coutnries
Introduction
•
Growing body of research exploring the potential
of HIT in developing countries
•
Research on patient-oriented HIT is
sparse--most focus on clinics and healthcare providers
•
focus on technologies that mediate delivery of
interventions to consumers and patients--lifestyle modification information,
health monitoring, management of chronic illness, preventive care
•
challenges to designing and implementing health
technologies in developing countries--limited health care resources, medical
expertise, access to healthcare, access to technology, infrastructure, and
technical expertise to support technology.
•
Frameworks, from a health research point of
view, guide research by leveraging a problem and identifying an approach
•
technology selection framework- facilitate
decisions pertaining to the development or acquisition of technology.
Integrates factors surrounding decision making, selection criteria, and
configuration
•
Developing nations often lack resources to
develop technology themselves. Emphasis on selecting the most suitable
technology and the best means for technology transfer
Literature Review
On Technology Framework
Development:
Chan CV, Kaufman DR. A technology selection framework for
supporting delivery of patient-oriented health interventions in developing
countries. Journal of Biomedical
Informatics. 43(2010). 300-306.
On Health Data Management
and Visualization:
Carapinha JL, Ross-Degnan, D, Desta AT, Wagner, AK. Health
insurance systems in five sub-Saharan African countries: Medicine benefits and
data for decision making. Health Policy.
99 (2011) 193-202.
Doris Duke Charitable Foundation, PHIT Partnerships, the Data
Coordinator. PHIT Partnership Data Collaborative: Principles, Policies, and
Procedures. 2011.
Santos RS. Malheiros, SMF. Cavalheiro, S. Parente de Oliveira JM.
A data mining system for providing analytical information to public health
decision makers. Computer Methods and
Programs in Biomedicine. 109(2013) 269-282.
On the Challenges Specific
to Health Data:
Berndt, DJ. Hevner, AR. Studnicki, J. The Catch data warehouse:
support for community health care decision-making. Decision Support System 35 (2003) 367-384.
Lavrac N. Bohanec M. Pur A. Cestnik B. Debeljak M. Kobler A. Data
mining and visualization for decision support and modeling of public
health-care resources. Journal of Biomedical Informatics. 40(2007). 438-447.
Koh HC. Tan G. Data mining applications in healthcare. Journal of
Healthcare Information Management 19(2005) 64-72
PHIT Data Coordinator. The population health implementation and
training data collaborative: Concept paper and scope of work. (2011)
Success Stories:
Graven M. Allen P. Smith, I. MacDonald, NE. Decline in mortality
with the Belize intergrated patient-centred country wide health information
system (BHIS) with embedded program management. International Journal of Medical Informatics. 82 (2013), 954-963.
Mutale W. Chintu N. Amoroso C. Awoonor-Williams K. Philips J.
Baynes C. Improving Health information systems for decision making across five
sub-Saharan African countries: implementation strategies from the African
Health Initiative. BMC Health Services
Research. 13 (Suppl 2): S9 2013
Conclusion
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