Has worked overseas Has published research Is a preceptor Has presented at a conference Uses social media professionally Uses AI in their nursing practice Would like to do a PhD Works in aged care Speaks more than one language Loves wound care Has been in nursing 10+ years Has worked in a rural/remote area Had a career change Has an interest in policy and advocacy Plays a musical instrument Loves night shift Has a degree other than nursing Afraid of heights Is mentoring a student Has 2 or more pets Loves teaching students Has children Has worked in ICU Drinks coffee Has led a QI project Has worked overseas Has published research Is a preceptor Has presented at a conference Uses social media professionally Uses AI in their nursing practice Would like to do a PhD Works in aged care Speaks more than one language Loves wound care Has been in nursing 10+ years Has worked in a rural/remote area Had a career change Has an interest in policy and advocacy Plays a musical instrument Loves night shift Has a degree other than nursing Afraid of heights Is mentoring a student Has 2 or more pets Loves teaching students Has children Has worked in ICU Drinks coffee Has led a QI project
(Print) Use this randomly generated list as your call list when playing the game. 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.
B-Has worked overseas
B-Has published research
G-Is a preceptor
I-Has presented at a conference
N-Uses social media professionally
G-Uses AI in their nursing practice
B-Would like to do a PhD
I-Works in aged care
N-Speaks more than one language
N-Loves wound care
N-Has been in nursing 10+ years
O-Has worked in a rural/remote area
G-Had a career change
O-Has an interest in policy and advocacy
G-Plays a musical instrument
O-Loves night shift
G-Has a degree other than nursing
I-Afraid of heights
I-Is mentoring a student
O-Has 2 or more pets
I-Loves teaching students
B-Has children
B-Has worked in ICU
N-Drinks coffee
O-Has led a QI project