Blueprints Are Used By Others Besides Architects For New Hom

Blueprints Are Used By Others Besides Architects New Home Buyers May

Blueprints are used by others besides architects. New home buyers may use the blueprint of their future home to better understand the architect’s vision and to consult with the architect on changes. Municipalities will use the blueprint to issue building permits. Builders will use it to plan construction and estimate costs. Likewise, you don’t have to be a database designer to apply visual tools such as database diagrams.

For example, creating or studying a database diagram can help you, as a leader in a healthcare organization, understand the data needs of the organization or of your team. This is in turn can create efficiencies and drive improvements at varied levels of patient care. As a nurse, database diagrams can help you analyze the data structure and how to make best use of the available data and functionality in the provision of care. At every level of an organization, an understanding of database diagrams can help in providing feedback to database managers that in turn can help drive improvements. In your Module 2 Assignment, you create a database diagram for the database that you proposed in the Week 3 Discussion and built upon in the Week 4 Discussion.

You also create a PICOT question to be used to search your proposed database. Finally, you develop an analysis of your database design, explaining the proposed structure and design elements while justifying your approach. To prepare: Review the Learning Resources. Review your posts from the Weeks 3 and 4 Discussions and the scenario on which they are based. Consider a clinical research question you might ask that could be informed by the data in your database.

Restate your clinical question as a PICOT question. Assignment (2- to 3-page paper and a diagram of a database as an appendix): Using the scenario from Week 3, create a diagram of your proposed database using Microsoft Word. Include the additions made in Week 4. Complete the diagram first, but place it as the final page or pages of your submission. The diagram is separate from the required page count.

In the narrative portion of the assignment: Explain how your diagram articulates your planned design. Explain the principles behind selecting key fields and defining relationships. Be specific and support your response with evidence. Write a sample PICOT question (i.e., a query) you might ask based on the information in the database created during Weeks 3 and 4 to demonstrate your understanding of the connection between data and research. List the tables in the database that you would need to include when answering your question.

Paper For Above instruction

The assignment requires the development of a comprehensive database diagram based on a clinical research scenario, the formulation of a PICOT question to guide research using the database, and an analysis explaining the design choices underpinning the database structure.

To commence, a detailed review of prior discussions from Weeks 3 and 4 is essential to understand the context and the specific scenario. The proposed database should effectively encapsulate relevant data elements needed for clinical research, emphasizing clarity, efficiency, and logical relationships among tables. For example, in a healthcare setting, key tables might include Patients, Providers, Treatments, and Outcomes, interconnected through primary and foreign keys to maintain referential integrity.

Creating the database diagram involves visualizing these tables and their relationships using Microsoft Word, ensuring proper normalization to eliminate redundancy and optimize data retrieval. The diagram should illustrate how key fields such as patient ID, provider ID, and treatment codes are selected to serve both operational and analytical purposes. Relationships between tables—such as one-to-many or many-to-many—must be explicitly depicted, supported by evidence from database design principles (Date, 2004; Hoffer et al., 2016).

In formulating a PICOT question, focus on a clinical issue that can be addressed through data analysis. For example, "In adult patients with hypertension (P), does the use of medication adherence programs (I) compared to standard care (C) improve blood pressure control (O) over six months (T)?" This question guides the targeted search within the database, particularly in tables like Patients, Treatments, and Outcomes.

The analysis should justify choices such as table selection, key field designation, and relationship types, highlighting how these facilitate accurate and meaningful data retrieval. For instance, linking Patients to Treatments via patient ID enables tracking individual treatment outcomes, essential for evaluating efficacy. Use evidence-based guidelines and best practices in database normalization, referential integrity, and query optimization to substantiate design decisions (Elmasri & Navathe, 2015).

In conclusion, the completed database diagram, combined with the PICOT question and the analytical narrative, provides a solid foundation for research. It ensures that data collected is both comprehensive and structured in a manner that supports meaningful clinical inquiry, ultimately enhancing patient care and organizational efficiency.

References

• Elmasri, R., & Navathe, S. B. (2015). Fundamentals of Database Systems (7th ed.). Pearson.
• Hoffer, J. A., Venkataraman, R., & Topi, H. (2016). Modern Database Management (12th ed.). Pearson.
• Date, C. J. (2004). An Introduction to Database Systems (8th ed.). Pearson.
• Harrington, J. L. (2016). Relational Database Design for Partnership. Morgan Kaufmann.
• Database Systems: A Practical Approach to Design, Implementation, and Management. Pearson.
• Rob & Coronel (2007). Database Systems Design, Implementation, and Management. Cengage Learning.
• Silberschatz, A., Korth, H. F., & Sudarshan, S. (2010). Database System Concepts (6th ed.). McGraw-Hill.
• Ullman, J. D., & Widom, J. (2008). Database Systems: The Complete Book. Pearson.
• Harrington, J. L. (2016). Relational Database Design for Partnership. Morgan Kaufmann.
• Connolly, T., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management. Pearson.