George describesthe scope of theproject byidentifyingproblems andsolutionsJames talksabout issuesregardingusing digitaltoolsMary talksabout thesysteminfrastructureand whereOEAIDD fits inMary showshistoricaltrends inadverseeventsAn exampleof the AERdashboardis presentedThe groupparticipatesin a poll onfacilitatorsLove betweenprocess focusedevaluations andquantitativemethods ishighlightedThe futureadverse eventmanagementsystem isshownTheproposedarchitectureof the systemis shownDisney castleand dreamsfor theorganizationis presentedJack presentson logic modelsand how thiscan addressprogram needsData toWisdomtriangle isshownThe groupparticipatesin a poll onbarriersJames talksabout hisstory in thefoster homesystemMary reviewsdifferent fivedifferent playersinvolved in theprojectJamesdiscusses waysthat we mightaddress issuesusing digitaltoolsAn exampleof how modelmetrics worksis shownThe currentadverse eventmanagementsystem isshownMary showshistorical trendsin adverseevents perparticipants inDDDJack shows thedifferencebetween simplemediation andmoderatedmediationJack reviewshow the UHteam isinvolved inthe projectDifferentassumptionsbuilt into alogic modelis presentedWe learn howallergens andmedicationsmay predictAERsJack presentson how wemight mergedata withclinicaloutcomesProgress isindicatedthroughweavingrelationshipsMary showshistorical trendsin participantsreceivingservices inDDDGeorgedescribes whatmachinelearning is witha pipeline figureMarydescribespotentialimpacts ofthe projectTable withHoike toNaauao acrossdifferent playersis shownAn exampleof topfeatures forthe modelsis shownGeorge describesthe scope of theproject byidentifyingproblems andsolutionsJames talksabout issuesregardingusing digitaltoolsMary talksabout thesysteminfrastructureand whereOEAIDD fits inMary showshistoricaltrends inadverseeventsAn exampleof the AERdashboardis presentedThe groupparticipatesin a poll onfacilitatorsLove betweenprocess focusedevaluations andquantitativemethods ishighlightedThe futureadverse eventmanagementsystem isshownTheproposedarchitectureof the systemis shownDisney castleand dreamsfor theorganizationis presentedJack presentson logic modelsand how thiscan addressprogram needsData toWisdomtriangle isshownThe groupparticipatesin a poll onbarriersJames talksabout hisstory in thefoster homesystemMary reviewsdifferent fivedifferent playersinvolved in theprojectJamesdiscusses waysthat we mightaddress issuesusing digitaltoolsAn exampleof how modelmetrics worksis shownThe currentadverse eventmanagementsystem isshownMary showshistorical trendsin adverseevents perparticipants inDDDJack shows thedifferencebetween simplemediation andmoderatedmediationJack reviewshow the UHteam isinvolved inthe projectDifferentassumptionsbuilt into alogic modelis presentedWe learn howallergens andmedicationsmay predictAERsJack presentson how wemight mergedata withclinicaloutcomesProgress isindicatedthroughweavingrelationshipsMary showshistorical trendsin participantsreceivingservices inDDDGeorgedescribes whatmachinelearning is witha pipeline figureMarydescribespotentialimpacts ofthe projectTable withHoike toNaauao acrossdifferent playersis shownAn exampleof topfeatures forthe modelsis shown

OEAIDD Data Party BINGO - Call List

(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.


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  1. George describes the scope of the project by identifying problems and solutions
  2. James talks about issues regarding using digital tools
  3. Mary talks about the system infrastructure and where OEAIDD fits in
  4. Mary shows historical trends in adverse events
  5. An example of the AER dashboard is presented
  6. The group participates in a poll on facilitators
  7. Love between process focused evaluations and quantitative methods is highlighted
  8. The future adverse event management system is shown
  9. The proposed architecture of the system is shown
  10. Disney castle and dreams for the organization is presented
  11. Jack presents on logic models and how this can address program needs
  12. Data to Wisdom triangle is shown
  13. The group participates in a poll on barriers
  14. James talks about his story in the foster home system
  15. Mary reviews different five different players involved in the project
  16. James discusses ways that we might address issues using digital tools
  17. An example of how model metrics works is shown
  18. The current adverse event management system is shown
  19. Mary shows historical trends in adverse events per participants in DDD
  20. Jack shows the difference between simple mediation and moderated mediation
  21. Jack reviews how the UH team is involved in the project
  22. Different assumptions built into a logic model is presented
  23. We learn how allergens and medications may predict AERs
  24. Jack presents on how we might merge data with clinical outcomes
  25. Progress is indicated through weaving relationships
  26. Mary shows historical trends in participants receiving services in DDD
  27. George describes what machine learning is with a pipeline figure
  28. Mary describes potential impacts of the project
  29. Table with Hoike to Naauao across different players is shown
  30. An example of top features for the models is shown