Meghana Ganapathiraju1 Mentors: David Borland, PhD2, Vivian West, PhD3, W.Ed Hammond, PhD3

1Green Hope High School, 2RENCI, 3Duke University

Exploring  Novel  Visualiza3ons  of  Electronic  

Health  Record  Data  

•  The  use  of  interac3ve  visual  representa3ons  of  abstract  data  to  amplify  cogni3on  (Ware,  2004)  

•  Makes  interpreta3on  of  informa3on  easier  

•  Must  correctly  represent  informa3on  or  the  visualiza3on  can  be  misleading  or  confusing  

•  Visualiza3on  can  help  detect  key  paIerns  otherwise  difficult  to  pick  out  

Informa3on  Visualiza3on  

John  Snow’s  Cholera  Map  

hIp://flowingdata.com/2007/09/12/john-­‐snows-­‐famous-­‐cholera-­‐map/  

Informa3on  Visualiza3on  

•  Mul3variate  data  has  more  than  2  or  3  dimensions  

•  Lose  informa3on  if  shown  in  tradi3onal  graphs/plots  

•  New  methods  of  visualiza3on  are  necessary  

Visualizing  Mul3variate  Data  

•  ScaIerplot  Matrix  

•  Starplots  

•  Parallel  sets/coordinates  

Mul3variate  visualiza3on  techniques  

•  Visualize  EHR  data    •  Systems  are  increasing  in  size  and  complexity  •  Researchers  se  the  database  in  different  ways  

•  Visual  representa3ons  may  facilitate  addi3onal  insight  

Purpose  

•  Surveyed  researchers  

•  Data  stored  as  an  excel  file  

•  D3  JavaScript  library  used  to  produce  the  visualiza3on  

Methods    

Parallel  Sets  Visualiza3on   Live  Demo  Link  

Parallel  Sets  Visualiza3on  

Parallel  Sets  Visualiza3on  

Co-­‐occurrence  Matrix  

13  

Chord  Diagram  

•  These  visualiza3ons  are  just  some  of  the  possible  methods  of  mul3variate  visualiza3on  

•  Explore  further  op3ons    

•  Show  visualiza3ons  to  a  variety  of  users  

Future  Work  

Dr.  David  Borland,  RENCI    

Dr.  Vivian  West,  Duke  University    

Hina  Shah,  UNC  Chapel  Hill    

Dr.  Ed  Hammond,  Duke  University  

Acknowledgements  

This work was supported by the US Army Medical Research and Material Command (USAMRMC) under Grant No. W81XWH-13-1-0061.

Acknowledgements  

Thank  You!