LovesteachingstudentsHaschildrenHas aninterest inpolicy andadvocacyWouldlike to doa PhDSpeaksmore thanonelanguageHasworkedoverseasWorksin agedcareIs apreceptorHaspresentedat aconferenceHas 2or morepetsAfraidofheightsHasworkedin ICULovesnightshiftUses socialmediaprofessionallyHas workedin arural/remoteareaHad acareerchangeIsmentoringa studentPlays amusicalinstrumentHaspublishedresearchHas leda QIprojectHas adegreeother thannursingUses AI intheirnursingpracticeDrinkscoffeeLoveswoundcareHas beenin nursing10+ yearsLovesteachingstudentsHaschildrenHas aninterest inpolicy andadvocacyWouldlike to doa PhDSpeaksmore thanonelanguageHasworkedoverseasWorksin agedcareIs apreceptorHaspresentedat aconferenceHas 2or morepetsAfraidofheightsHasworkedin ICULovesnightshiftUses socialmediaprofessionallyHas workedin arural/remoteareaHad acareerchangeIsmentoringa studentPlays amusicalinstrumentHaspublishedresearchHas leda QIprojectHas adegreeother thannursingUses AI intheirnursingpracticeDrinkscoffeeLoveswoundcareHas beenin nursing10+ years

Clinical connections - Call List

(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.


1
I
2
B
3
O
4
B
5
N
6
B
7
I
8
G
9
I
10
O
11
I
12
B
13
O
14
N
15
O
16
G
17
I
18
G
19
B
20
O
21
G
22
G
23
N
24
N
25
N
  1. I-Loves teaching students
  2. B-Has children
  3. O-Has an interest in policy and advocacy
  4. B-Would like to do a PhD
  5. N-Speaks more than one language
  6. B-Has worked overseas
  7. I-Works in aged care
  8. G-Is a preceptor
  9. I-Has presented at a conference
  10. O-Has 2 or more pets
  11. I-Afraid of heights
  12. B-Has worked in ICU
  13. O-Loves night shift
  14. N-Uses social media professionally
  15. O-Has worked in a rural/remote area
  16. G-Had a career change
  17. I-Is mentoring a student
  18. G-Plays a musical instrument
  19. B-Has published research
  20. O-Has led a QI project
  21. G-Has a degree other than nursing
  22. G-Uses AI in their nursing practice
  23. N-Drinks coffee
  24. N-Loves wound care
  25. N-Has been in nursing 10+ years