nurs655 all week discussions latest 2018 may
Week 1 discussion
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DQ1
Use examples to compare and contrast unstructured and
structured data. Which type is more prevalent in a typical business
environment? Why?
DQ2
Describe the basic features of the relational data model and
discuss their importance to the end user.
Week 2 discussion
DQ1
Is data more protected in a cloud-based database management
system (DBMS) or stored locally? Why?
DQ2
List the common sources of database failures and discuss how
the risk of database failure can be mitigated for one of the sources.
Week 3 discussion
DQ1
What are decision support systems, and what role do they
play in the business environment? Give an example of decision support systems
used in health care.
DQ2
Discuss how one of the two listed data analytics tools in
the readings (explanatory and predictive) can be applied in health care. Give a
specific use example.
Week 4 discussion
DQ1
Discuss a health care data security breach that occurred
within the last five years. Discuss the causes, what measures could have been
in place to prevent it, and the implications of the data security breach.
DQ2
Discuss the differences between cloud-based storage and
local server storage. Which offers the best solution? Why?
Week 5 discussion
DQ1
Discuss the challenges associated with “free-text” clinical
information (e.g., Nursing Progress Notes).
DQ2
Compare and contrast supervised and unsupervised learning as
discussed in your readings. Give specific examples to explain both.
Week 6 discussion
DQ1
Describe social media analytics and give one example of its
application in health care.
DQ2
Examine one major challenge faced by researchers and
practitioners with temporal healthcare data mining and propose a future
research direction.
Week 7 discussion
DQ1
Discuss how clinical decision support systems (CDSS) can be
used to improve patient outcomes in health care. Provide a specific example.
DQ2
Discuss how clinical decision support systems (CDSS) can be
used to improve patient outcomes in health care. Provide a specific example.
Week 8 discussion
DQ1
Discuss one future trend of data analytics and its
implication in health care. Provide specific examples.
DQ2
How can data visualization evolve to better facilitate
decision-making in health care?
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