Biomedical Engineering Reference
In-Depth Information
whereas others are not, and it is not clear which integrations will be
successful and active in the community.
Seamless generalized use-cases across this architecture still require a
large amount of engineering and are best left to the product companies.
Most information technology organizations should continue to select
narrow deployments for their BI tools, but should start to utilize some of
these toolsets to begin to understand how they best fi t into their
organizations. If an application requires adherence to 21 CFR Part 11
validation, one must tread carefully as the abilities of these tools may
cause an insurmountable testing challenge, something discussed in more
detail in Chapter 21 by Stokes. Focusing on narrow use-cases that may
turn out to exhibit an immediate return and an amazingly low total cost
of ownership is always a good approach.
Applications in a position for high-growth volume and a potential for
constant performance ceilings should deploy in the cloud and be prepared
with tools that scale up with ease. Prioritize the ability to be agile at large
scales. Accept that failures will occur and that mistakes will happen and
use tools that will allow for recovery from issues. We believe, as many of
the largest scaling internet companies do, that the open source toolsets
discussed here meet that mark.
A fi nal note on the Semantic Web, discussed in detail in the chapters by
Wild (Chapter 18) and Bildtsen et al. (Chapter 19). Although perhaps not
immediately apparent, in many respects these two technologies are
compatible. Analytics can help gather insight into trends or population
conditions that can help steer clinical research. The Semantic Web is seen
as the technology that will allow us to codify artifi cial intelligence that is
gleaned from the raw data. Eventually, semantic-based rules could be
embedded into our MapReduce or machine-learning statistical utilities to
speed up the data selection and interpretation.
20.9 References
[1]
http://www.irs.gov/newsroom/article/0,,id=204335,00.html
[2]
http://www.emrconsultant.com/education/hospital-information-systems
[3]
http://www.hl7.org/newsroom/HL7backgrounderbrief.cfm
[4]
http://hl7toolkit.sourceforge.net
[5]
http://www.mirthcorp.com/community/mirth-connect
[6]
http://dev.mysql.com
[7]
http://couchdb.apache.org
[8]
http://www.mulesoft.org
[9]
https://www.cms.gov/icd9providerdiagnosticcodes
Search WWH ::
Custom Search