DA0-002 Data Acquisition and Preparation Practice Question
A healthcare organization collects patient questionnaire data via paper forms at clinics. The forms are scanned and sent to a central office, where staff manually enter data into an electronic system. This process is slow and error-prone. The organization wants to reduce manual entry errors and speed up data availability. Which method should they adopt?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use optical character recognition (OCR) to digitize the forms and automatically populate the database
Optical Character Recognition (OCR) can convert scanned images to text automatically, reducing manual entry errors and speeding up the process. Requiring patients to fill out online forms may not be feasible for all patients, especially those without internet access. Continuing manual entry with double-checking is still slow and labor-intensive. Sending to an external company introduces additional cost and potential privacy concerns.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Continue manual entry but double-check all entries
Why it's wrong here
Double-checking still requires manual labor and does not significantly speed up the process.
- ✓
Use optical character recognition (OCR) to digitize the forms and automatically populate the database
Why this is correct
OCR automates data extraction from scanned forms, reducing errors and increasing speed.
- ✗
Send forms to an external data processing company
Why it's wrong here
This introduces additional cost and potential privacy risks, and still involves manual processing.
- ✗
Require patients to fill out forms online at home
Why it's wrong here
Not all patients may have internet access or be comfortable with online forms, and it may disrupt current workflows.
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Written by Johnson Ajibi, MSc IT Security
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