Data Dictionary
There are two general types of data dictionaries: a database management system data dictionary and an organization-wide data dictionary. For this assignment, we are focusing on the organization-wide data dictionary. In a data dictionary, individual data elements and definitions are defined to ensure consistency and accuracy. Assume you need to collect and analyze data on patients discharged and readmitted to hospital X within 90 days of discharge. Develop the data dictionary for this study by completing the table below. Your data dictionary must include a minimum of 15 discreet data elements. Include information you would need to identify:
- the patient (Unique identifier)
- the admission(s)
- the reason for each admission (why the patient presented to the hospital emergency department)
- the principal diagnosis which is defined as the condition of the patient made after studying the patient and their admission to the hospital.
- the indicator for justified readmission or questionable readmission.
Guided response: Include at least 15 data elements and the rationale for each data element, using the format below and include:
- A title page with the following:
- Title of paper
- Student’s name
- Course name and number
- Instructor’s name
- Date submitted
- Include two scholarly references, excluding the textbook, formatted according to APA style as outlined in the Writing Center.
Carefully review the Grading RubricLinks to an external site. for the criteria that will be used to evaluate your assignment.
How to Solve Data Dictionary There are two general types of data dictionaries: a database management system data dictionary and an organization-wide data dictionary. For this assignment, we are focusing on the or Nursing Assignment Help
Introduction:
In healthcare, accurate and consistent data collection and analysis play a significant role in identifying patient outcomes and improving healthcare services’ quality. Developing a data dictionary is an essential tool for ensuring accuracy and consistency in data collection, analysis, and reporting. This assignment focuses on the development of a data dictionary for collecting and analyzing data on patients discharged and readmitted to Hospital X within 90 days of discharge. In this assignment, we will include at least 15 data elements and rationale for each data element using APA formatting style.
Answer:
Title: Developing a Data Dictionary for Analyzing Patient Readmissions in Hospital X
Data Elements and Rationale:
1. Unique Identifier: socio-demographic information, health history, and other patient information. Rationale: Unique identifier is essential for tracking patient health outcomes and reducing duplication of patient records.
2. Patient full name
3. Date of Birth
4. Gender
5. Ethnicity
6. Primary Care Physician (PCP) Name and Contact Information. Rationale: PCP information is essential for care coordination and the continuum of care.
7. Date of Admission
8. Discharge Date
9. Reason for Admission: Emergency department visit, elective admission, other. Rationale: Tracking admission information is critical for identifying patient healthcare needs.
10. Admission Diagnosis (ICD-10)
11. Primary Diagnosis (ICD-10)
12. Secondary Diagnosis (ICD-10)
13. Surgery Date and Code. Rationale: Surgery information is essential for tracking post-operative complications and preventing readmissions.
14. Inpatient/Outpatient Status on Readmission
15. Reason for Readmission: surgical complication, illness progression, other.
16. Readmission Diagnosis
17. Justified Readmission Indicator: Medical necessity, patient non-adherence, other.
Conclusion:
Developing a data dictionary is essential for accurate data collection and analysis in healthcare. In this assignment, we developed a data dictionary for collecting and analyzing data on patients discharged and readmitted to Hospital X within 90 days of discharge. The data elements included ensured accurate and consistent data collection and analysis, which is vital for identifying patient outcomes and improving healthcare quality.
