Diane J. Skiba
The Connected Age: Big Data &amp; Data Visualization
welcome world big data care amass lot data various sources francis collins 2014 director national institutes health describes mountain data consisting enormous everexpanding trove digital data dna sequencing biomedical imaging replacing patients medical chart lifelong electronic medical recordin era connected health data extracted various care institutions payers research entities pharmaceutical industries well patientgenerated data pghd used create lifelong electronic record ehr collins describes big data revolution care offers opportunities discover threads groves kayyali knott van kuiken 2013to identify threads imperative analytic tools data mining used make sense trove digital data analysis mountains data important support organi zation learning system lhs olsen aisner mcginnis 2007 skiba 2011 according national committee vital health statistics 2011 learning system people actions results knowledge connected continuous feedback loops enable improvement change learning time p 9 informatics infrastructure information technology tools analytic techniques making increasingly possible communi ties become dynamic learning systems working improve local health p 9as patients families caregivers consumers become engaged connected age equally important connect various data sources pghd well data ehrs help individuals better manage health maximum benefit especially patients providers need display data accessible useful usable mannerin blog post national center healthcare leadership website garmen 2013 spoke emerging competencies needed era big data lhs along statistics contextual knowledge healthcare organizations data represent also need advanced competencies storytelling translating statistics practical wisdom action compelling narra tive visualizationgarmens views resonate educator lead questions nursing education 1 nurses need demonstrate data visualization literacy competency provide care future 2 educators need help students gain experience reading interpreting statistical translations using visualization techniques provide patient data clinical decisionmakingbefore tacking questions important understand term data visualization literacy familiar term visual literacy work tufte statistician uses infor mation design display data information evidence www edwardtuftecomtufte working definition visualization liter acy offered eurovis 2014 workshop scholarly subject visualization literacy expected encompass cognitive aspects eg nonverbal reasoning spatial navigation visual repre sentations pedagogical aspects eg learning visual representa tions metaphors languages educational curricula specialized training explore cognitive abilities visualization evaluation competency development wwwkthseprofile178785page eurovis2014workshoptowardsvisualizanow visual literacy merges data literacy form new concept data visualization literacy must ask competency nurses need review literature indicates answer yes nurses need understand interpret visual displays data practice