Case Study 1.12 MPI
docx
keyboard_arrow_up
School
College of the Mainland *
*We aren’t endorsed by this school
Course
1311
Subject
Health Science
Date
Dec 6, 2023
Type
docx
Pages
2
Uploaded by DrAtomPartridge26
Darilyn Richardson
HITT 1311
10/10/23
Case Study 1.12 MPI
A.
The main observation from the analysis of the master patient index patient
database is that there are inconsistencies and duplicates in the patient
records. Specifically, there are instances of duplicate patient entries with
different variations of names, dates of birth (DOB), and social security
numbers (SSN). This could lead to data inaccuracies and potential issues in
patient identification and healthcare delivery.
B.
Policy to Address the Issue:
To address the issue of inconsistent and duplicate patient records, the following policy
should be implemented:
1.
Data Standardization
: Standardize the format of patient data, including names (Last
Name, First Name, Middle Name), DOB, and SSN. Use a consistent format for dates
(e.g., MM/DD/YYYY) and SSN (e.g., XXX-XX-XXXX).
2.
Data Matching and Deduplication
: Implement a robust data matching and
deduplication algorithm to identify and merge duplicate patient records. This should
consider variations in names and SSNs to ensure accurate matching.
3.
Regular Data Quality Audits
: Conduct regular audits of the master patient index to
identify and rectify data inconsistencies and duplicates. This audit should be performed
at least annually or as needed.
4.
Staff Training
: Train healthcare staff on the importance of accurate data entry and
maintaining patient records. Emphasize the need for consistent data input practices.
5.
Unique Patient Identifiers
: Explore the use of unique patient identifiers (e.g., a
patient identification number) to reduce reliance on SSNs and minimize the risk of
duplicate records.
6.
Privacy and Security
: Ensure that patient data is handled securely and in
compliance with privacy regulations (e.g., HIPAA in the United States). Access to patient
records should be restricted to authorized personnel.
7.
Data Governance Committee
: Establish a data governance committee responsible
for overseeing data quality and patient identification policies. This committee should
review and update policies as needed.
Explanation:
Implementing this policy will help improve the accuracy of patient records, reduce the
risk of identity errors, and enhance the quality of healthcare services provided to
patients.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help