Healthcare Relational data model

Healthcare Relational data model

Healthcare Relational data model

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Week 1 discussion

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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