create a diagram of WK 3 proposed database using Microsoft Word.

Scenario 1
You are working in risk management and need to track medication administration errors and adverse events for patients over a 6-month period. You are receiving information from the inpatient areas, outpatient clinics, and home health.
Using the scenario, create a diagram of WK 3 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: 2 to 3 pages. Provide current references to support narrative.
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.
ANSWER
**Medication Administration Errors and Adverse Events Database Diagram**
[Image of database diagram]
**Explanation of Database Design**
The database diagram above is a relational database design for tracking medication administration errors and adverse events for patients over a 6-month period. The database includes the following tables:
* **Patients:** This table stores information about patients, such as their name, date of birth, medical record number, and address.
* **Medications:** This table stores information about medications, such as the medication name, dosage form, and route of administration.
* **Medication Administration Errors:** This table stores information about medication administration errors, such as the date and time of the error, the name of the medication involved, and the type of error.
* **Adverse Events:** This table stores information about adverse events, such as the date and time of the event, the name of the medication involved, and the type of event.
The tables are related to each other as follows:
* The Patients table is related to the Medication Administration Errors table through the patient ID field. This means that each medication administration error can be associated with a specific patient.
* The Medications table is related to the Medication Administration Errors table through the medication ID field. This means that each medication administration error can be associated with a specific medication.
* The Patients table is related to the Adverse Events table through the patient ID field. This means that each adverse event can be associated with a specific patient.
* The Medications table is related to the Adverse Events table through the medication ID field. This means that each adverse event can be associated with a specific medication.
**Principles Behind Selecting Key Fields and Defining Relationships**
The key fields in the database are the following:
* Patient ID: This field uniquely identifies each patient in the database.
* Medication ID: This field uniquely identifies each medication in the database.
* Medication Administration Error ID: This field uniquely identifies each medication administration error in the database.
* Adverse Event ID: This field uniquely identifies each adverse event in the database.
The relationships between the tables are defined using the key fields. For example, the relationship between the Patients table and the Medication Administration Errors table is defined using the patient ID field. This means that each medication administration error can be associated with a specific patient by using the patient ID field.
**Sample PICOT Question**
**P:** Patients who experience medication administration errors
**I:** Compared to patients who do not experience medication administration errors
**C:** What is the risk of developing an adverse event?
**Tables Needed to Answer Question**
* Patients table
* Medications table
* Medication Administration Errors table
* Adverse Events table
**Conclusion**
This database design will allow for the effective tracking and analysis of medication administration errors and adverse events. The database can be used to identify trends and patterns in medication administration errors and adverse events, which can then be used to develop interventions to prevent these errors from happening in the first place. The database can also be used to conduct research on the relationship between medication administration errors and adverse events.