Interacting with eHealth - Towards grand challenges for HCI
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Schraefel_ehealthChi09PanelAbstractFin-schraefel.pdf
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Author(s)
Szolovits, Peter
Berners-Lee, Tim
Weitzner, Daniel J.
Schraefel, M. C.
Andre, Paul
White, Ryen
Tan, Desney
Consolvo, Sunny
Jacobs, Robert
Kohane, Isaac
Date Issued
April 2009
Journal
ACM Special Interest Group on Computer-Human Interaction (SIGCHI)
Publisher
Association for Computing Machinery
Citation
Schraefel, M.C. et al. “Interacting with eHealth: towards grand challenges for HCI.” Proceedings of the 27th international conference extended abstracts on Human factors in computing systems. Boston, MA, USA: ACM, 2009. 3309-3312. © 2009 The Authors.
Version
Final published version
Abstract
While health records are increasingly stored
electronically, we, as citizens, have little access to this
data about ourselves. We are not used to thinking of
these official records either as ours or as useful to us.
We increasingly turn to the Web, however, to query
any ache, pain or health goal we may have before
consulting with health care professionals. Likewise, for
proactive health care such as nutrition or fitness, or to
find fellow-sufferers for post diagnosis support, we turn
to online resources. There is a potential disconnect
between points at which professional and lay eHealth
data and resources intersect for preventative or
proactive health care. Such gaps in information sharing
may have direct impact on practices we decide to take
up, the care we seek, or the support professionals
offer. In this panel, we consider several places within
proactive, preventative health care in particular HCI
has a role towards enhancing health knowledge
discovery and health support interaction. Our goal is to
demonstrate how now is the time for eHealth to come
to the forefront of the HCI research agenda.
Subjects
eHealth
preventative health care
grand challenges
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. School of Engineering
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Attribution-Noncommercial-Share Alike 3.0 Unported
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DOI of Published Version
https://doi.org/10.1145/1520340.1520476
