Data Dictionary

Order Description

Read the Practice Brief on AHIMA Data Quality Model, you will find this in the downloadable ancillaries that go along with your book. Instructions for downloading and accessing them can be found on page xxiv of the text. If you have trouble accessing that file you should be able to find it in the AHIMA Body of Knowledge on the AHIMA website https://www.ahima.org (Links to an external site.) (AHIMA. “Data Quality Management Model (Updated).” Journal of AHIMA 83, no.7 (July 2012): 62-67.)

McCuen, C., Sayles, N. B., & Schnering, P. (2008). Case Studies in Health Information

Management. Clifton Park, NY: Thomson Delmar Learning, pp. 241-241.

Data Dictionary Assignment

You are an RHIA who works in the information systems department. You have extensive HIM experience as well as information system experience. You tend to get projects related to HIM, including data collection and reporting, and your next assignment is to create a data dictionary that will be used for data collection. Your HIM background kicks in when you see the data quality issues in the information you are provided, which are given in the table below. The requester has told you that the information collected in the table will be used to create your new computerized MPI. Each row indicates one field; the format column tells how the data should be formatted and then number field is the number of characters the field should allow.

Analyze the information to find possible problems with the way the field would be entered into the system. Make recommendations on how to improve the information, including missing data elements, inappropriate data elements, ways to build quality into the system, ways to improve data collection, and so on.

Field Properties

Field

Format

Number of

Characters

Name

FN MI LN (alpha)

25

Address

Alpha

25

City, State, Zip

Alphanumeric

25

Discharge Date

Numeric

6

Admission Date

Numeric

6

Discharge Disposition

01, 02, 03, 04, 05, 06, 07, 20

2

Service

Alpha

3

Date of Birth

Numeric

6

Race

b, w, h

2

Gender

m, f, u

1

Type up your evaluation and submit for grading by attaching a file.

Grading:

Application of Data Quality Standards 20

Analysis of each field 20

Overall presentation 10

Total 50

TAKE ADVANTAGE OF OUR PROMOTIONAL DISCOUNT DISPLAYED ON THE WEBSITE AND GET A DISCOUNT FOR YOUR PAPER NOW!