subject did not have a license Match score lower than .79 Subject had an out of state discipline DOB after 2001 Match by exact address Had to use OPS on both input and subject Finished 6 lists from Brandon VC was Current- Prohibtion VC was Current- Federal input has lived in PR AZ Respiratory source subject has a court case subject is on the OFAC list input is from outside US DOB before 1940 A 80+ sized verification automation match but it turned out invalid TQ is less than 10 inputs input has an NPI # subject or input has a JR in their name Match by SSN Source was CMS Used OPS to find input using address Nurse with multiple state licenses subject did not have a license Match score lower than .79 Subject had an out of state discipline DOB after 2001 Match by exact address Had to use OPS on both input and subject Finished 6 lists from Brandon VC was Current- Prohibtion VC was Current- Federal input has lived in PR AZ Respiratory source subject has a court case subject is on the OFAC list input is from outside US DOB before 1940 A 80+ sized verification automation match but it turned out invalid TQ is less than 10 inputs input has an NPI # subject or input has a JR in their name Match by SSN Source was CMS Used OPS to find input using address Nurse with multiple state licenses
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
subject did not have a
license
Match score lower than .79
Subject had an out of state discipline
DOB after 2001
Match by exact address
Had to use OPS on both input and subject
Finished 6 lists from Brandon
VC was Current-Prohibtion
VC was Current-Federal
input has lived in PR
AZ Respiratory source
subject has a court case
subject is on the OFAC list
input is from outside US
DOB before 1940
A 80+ sized verification
automation match but it turned out invalid
TQ is less than 10 inputs
input has an NPI #
subject or input has a JR in their name
Match by SSN
Source was CMS
Used OPS to find input using address
Nurse with multiple state licenses