The code block below illustrates how one might use # and // as comments in your logic and calculations.
# Text can be put here to explain what the logic/calculation does and why.
if ([field1] = '1' and [field2] > 7,
// This comment can explain what the next line does.
[score] * [factor],
// Return '0' if the condition is False.
0
)
Working …
0% means
50% means
100% means
This value you provided is not a number. Please try again.
This value you provided is not an integer. Please try again.
The value entered is not a valid Vanderbilt Medical Record Number (i.e. 4- to 9-digit number, excluding leading zeros). Please try again.
The value you provided must be within the suggested range
The value you provided is outside the suggested range
This value is admissible, but you may wish to double check it.
The value entered must be a time value in the following format HH:MM within the range 00:00-23:59 (e.g., 04:32 or 23:19).
This field must be a 5 or 9 digit U.S. ZIP Code (like 94043). Please re-enter it now.
This field must be a 10 digit U.S. phone number (like 415 555 1212). Please re-enter it now.
This field must be a valid email address (like joe@user.com). Please re-enter it now.
The value you provided could not be validated because it does not follow the expected format. Please try again.
This module will help you assess whether or not some fields may be identifiers, and then allows you to easily tag such fields as identifiers for greater data security. While this same process can be accomplished in the Data Dictionary or Online Designer, this page provides a streamlined way of tagging fields as identifiers very quickly. Based off the variable name or field label, the fields listed below may possibly contain identifiers (e.g., name, phone number, address). Please review the entries and select all identifiers, where appropriate. Any fields already tagged as identifiers will already be checked below.
Add users
Remove users
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Check For Identifiers