CASE STUDY 1: New Century Health Clinic

New Century Health Clinic
The associates at New Century Health Clinic approved your recommendations for a new computer system. Your next step is to develop a design for the new system, including output and user interface issues.

Background: 
To complete the output and user interface design for the new information system at New Century, you should review the DFDs and object-oriented diagrams you prepared previously, and the rest of the documentation from the systems analysis phase. Perform the following tasks.

1. Dr. Jones has asked you to create a monthly Claim Status Summary report. He wants you to include the insurance company number, the patient number and name, the procedure date, the procedure code and description, the fee, the date the claim was filed, the amount of the claim, the amount of reimbursement, and the amount remaining unpaid. He wants you to group the data by insurance company number, with subtotals by company and grand totals for each numeric field. When you design the report, make sure to include a mock-up report and a report analysis form.


MOCK-UP REPORT:


REPORT ANALYSIS FORM:



2. Design the daily appointment list and a monthly statement to make it readable and visually attractive. Include a mock-up report and a report analysis form for each report.


MOCK-UP REPORT (DAILY APPOINTMENT LIST):
REPORT ANALYSIS FORM(DAILY APPOINTMENT LIST):


MOCK-UP REPORT (MONTHLY STATEMENT):


REPORT ANALYSIS FORM (MONTHLY STATEMENT:


3. Determine the data required for a new patient. Design an input source document that will be used to capture the data and a data entry screen to input the information.



4. What data validation checks would the clinic need for the new patient data entry screen? Write a brief memo with your recommendations.

MEMO

TO: DR. ROSE
FROM: ANONYMOUS
DATE: 2/28/18
SUBJECT: DATA VALIDATION CHECKS

Data validation check improves input quality by testing the data and rejecting any entry that fails to meet specified conditions. Responses should point out that the best defense against incorrect data is to identify and correct errors by using data validation checks before they enter the system.

Here are some of validity checks i could recommend:

  • Data type checks - test to ensure that a data item fits the required data type, such as numeric or alphabetic.
  • Validity checks - used for data items that must have certain specified values.
  • Range checks, which test data items to verify that they fall between a specified minimum and maximum value.
  • Existence checks, which are used for mandatory data items such as Social Security Number.


Just beep me back if you have questions, thanks.



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