Information Technology Reference
In-Depth Information
Decision
Support
Healthcare
Ecosystem
Actionable
knowledge
Systems
Thinking
(Personalized
Medicine At
Multiple Levels)
Family and/or
Community
Clinician(s)
Patient
Analytics
Charaterized By
Supports/Enables
Informatics
(Data, Information,
and knowledge
Management)
Translational
Science
(Generating
Evidence)
EHR/PHR
Policy Makers
Emergent
Data Sources
Educators
Public Information
Resources
Researchers
Fig. 2.3
Translational informatics vision for knowledge-driven healthcare, in which a virtuous
and rapid cycle of informatics theories/methods, translational science, and systems thinking can be
used to optimize every encounter occurring in the healthcare “ecosystem”
Further, these dimensions have broad ranging and signifi cant impacts on a vari-
ety of actors and their activities that serve to make up the biomedical research and
healthcare delivery environment, including: (1) evidence and policy generators;
(2) providers and healthcare organizations; and (3) patients and their communi-
ties. In our prototype case that describes a community with higher-than-average
incidence of colon cancer, we have shown how all of these factors, when com-
bined, in order to achieve what has been called a “learning healthcare system”,
can have profound and important impacts on health and wellness that is pertinent
to all of the preceding types of individuals and roles. Further, we have also intro-
duced how traditional and reductionist approaches to the multiple areas that make
up such a vision are impediments to its realization, and therefore can and should
be mitigated. Building upon all of these arguments, in the ensuing chapters, we
will survey a number of critical theories, methods, and examples that illustrate a
path forwards to achieving this vision. Finally, we will revisit the impact of each
chapter's contribution to the activities of such actors at the conclusion of each
such discussion.
Search WWH ::
Custom Search