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Louisville	
  Asthma	
  Data	
  Innova2on	
  Project	
  
David	
  Van	
  Sickle,	
  PhD	
  |	
  CEO,	
  Asthmapolis	
  
Reimagining	
  Digital	
  Health	
  to	
  Develop	
  a	
  Community-­‐Level	
  InformaEon	
  System	
  
Ted	
  Smith,	
  PhD	
  |	
  Chief	
  InnovaEon	
  Officer,	
  The	
  City	
  of	
  Louisville,	
  KY	
  
25	
  MILLION	
  
HAVE	
  ASTHMA	
  IN	
  U.S.	
  
>60	
  PERCENT	
  
ARE	
  UNCONTROLLED	
  
80	
  PERCENT	
  
OF	
  UNCONTROLLED	
  
SAY	
  THEY’RE	
  DOING	
  FINE	
  
ANNUAL	
  HEALTHCARE	
  COST	
  
$50	
  BILLION	
  
7.7%	
  
2010	
  
PREVALENCE	
  
8.4%	
  
2012	
  
10M	
  
HOSPITALIZATIONS	
  
ED	
  VISITS	
  
OFFICE	
  VISITS	
  
MISSED	
  DAYS	
  SCHOOL/WORK	
  
2M	
  
500K	
  
25M
+	
  Transmits	
  data	
  
+	
  Educates	
  
+	
  Reminds	
  and	
  
	
  	
  	
  alerts	
  
MOBILE	
  
	
  
sensor	
  
+	
  AutomaEc	
  
+	
  Passive	
  	
  
	
  	
  	
  data	
  collecEon	
  
+	
  Tracks	
  when,	
  
	
  	
  	
  where	
  and	
  how	
  
	
  	
  	
  much	
  medicine	
  
PERSONAL	
  ONLINE	
  account	
  +	
  Improved	
  Adherence	
  
+	
  Asthma	
  Control	
  
PERSONAL	
  ONLINE	
  	
  
app.hub	
  
	
  account	
  SNAP-­‐ON	
  	
  
resulted	
  in	
  an	
  innovaEve	
  ecosystem	
  
 	
  	
  	
  	
  	
  CiEzen-­‐powered	
  recruitment	
  through	
  
(Courtesy	
  of	
  Dr.	
  LaQuandra	
  NesbiN,	
  Louisville	
  Metro	
  Public	
  Health)	
  
Enrollment	
  by	
  Zip	
  Code	
  and	
  Asthma	
  HospitalizaEon	
  Rate	
  
	
  
BeNer	
  
Reduced	
  Rescue	
  Inhaler	
  Use	
  
	
  
BeNer	
  
Reduced	
  Rescue	
  Inhaler	
  Use	
  
	
  
Louisville	
  inhaler	
  events,	
  by	
  day	
  
Summer	
   Fall	
   Winter	
  
0	
  
20	
  
40	
  
60	
  
80	
  
100	
  
120	
  
140	
  
0	
  
0.1	
  
0.2	
  
0.3	
  
0.4	
  
0.5	
  
0.6	
  
0.7	
  
0.8	
  
0.9	
  
1	
  
8/1/2012	
   9/1/2012	
   10/1/2012	
   11/1/2012	
   12/1/2012	
  
SO2	
  AQI	
  Inhaler	
  events	
  
(normalized)	
  
SO2	
  
4. Build model against background sample
5. Extrapolate predicted inhaler events into
all geographic locations in our Metro
6. Test with additional data
2.GISofcontributingfactorstoexplore
1. Geo-referenced inhaler use points
3. Extract contributing factors data at each
point
Contributing Factor Data in Model
•  Land-use categories
•  Impervious surface (%)
•  PM 2.5 (avg AQI)
•  Close proximity to known emitters
•  Low greenness index
•  Close proximity to industry
•  Close proximity to power facilities
•  Traffic density
Using	
  Inhaler	
  Data	
  to	
  Build	
  a	
  SimulaEon	
  
	
  
Probability	
  of	
  Inhaler	
  Use	
  Predicted	
  by	
  Model	
  
Before&interven+on
Probability	
  of	
  Inhaler	
  Use	
  Predicted	
  by	
  Model	
  
A"er%interven*on%(10%%reduc*on%in%PM)
Louisville	
  Asthma	
  Data	
  Innova2on	
  Project	
  
David	
  Van	
  Sickle,	
  PhD	
  |	
  CEO,	
  Asthmapolis	
  
Reimagining	
  Digital	
  Health	
  to	
  Develop	
  a	
  Community-­‐Level	
  InformaEon	
  System	
  
Ted	
  Smith,	
  PhD	
  |	
  Chief	
  InnovaEon	
  Officer,	
  The	
  City	
  of	
  Louisville,	
  KY	
  
Reduced	
  Rescue	
  Inhaler	
  Use	
  
	
  
PRIVACY	
  

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Health Datapalooza 2013: Apps Expo City of Louisville & Asthmapolis

  • 1. Louisville  Asthma  Data  Innova2on  Project   David  Van  Sickle,  PhD  |  CEO,  Asthmapolis   Reimagining  Digital  Health  to  Develop  a  Community-­‐Level  InformaEon  System   Ted  Smith,  PhD  |  Chief  InnovaEon  Officer,  The  City  of  Louisville,  KY  
  • 2. 25  MILLION   HAVE  ASTHMA  IN  U.S.   >60  PERCENT   ARE  UNCONTROLLED   80  PERCENT   OF  UNCONTROLLED   SAY  THEY’RE  DOING  FINE   ANNUAL  HEALTHCARE  COST   $50  BILLION   7.7%   2010   PREVALENCE   8.4%   2012   10M   HOSPITALIZATIONS   ED  VISITS   OFFICE  VISITS   MISSED  DAYS  SCHOOL/WORK   2M   500K   25M
  • 3. +  Transmits  data   +  Educates   +  Reminds  and        alerts   MOBILE     sensor   +  AutomaEc   +  Passive          data  collecEon   +  Tracks  when,        where  and  how        much  medicine   PERSONAL  ONLINE  account  +  Improved  Adherence   +  Asthma  Control   PERSONAL  ONLINE     app.hub    account  SNAP-­‐ON    
  • 4. resulted  in  an  innovaEve  ecosystem  
  • 5.            CiEzen-­‐powered  recruitment  through  
  • 6. (Courtesy  of  Dr.  LaQuandra  NesbiN,  Louisville  Metro  Public  Health)   Enrollment  by  Zip  Code  and  Asthma  HospitalizaEon  Rate    
  • 7. BeNer   Reduced  Rescue  Inhaler  Use    
  • 8. BeNer   Reduced  Rescue  Inhaler  Use    
  • 9. Louisville  inhaler  events,  by  day   Summer   Fall   Winter   0   20   40   60   80   100   120   140   0   0.1   0.2   0.3   0.4   0.5   0.6   0.7   0.8   0.9   1   8/1/2012   9/1/2012   10/1/2012   11/1/2012   12/1/2012   SO2  AQI  Inhaler  events   (normalized)   SO2  
  • 10.
  • 11.
  • 12. 4. Build model against background sample 5. Extrapolate predicted inhaler events into all geographic locations in our Metro 6. Test with additional data 2.GISofcontributingfactorstoexplore 1. Geo-referenced inhaler use points 3. Extract contributing factors data at each point Contributing Factor Data in Model •  Land-use categories •  Impervious surface (%) •  PM 2.5 (avg AQI) •  Close proximity to known emitters •  Low greenness index •  Close proximity to industry •  Close proximity to power facilities •  Traffic density Using  Inhaler  Data  to  Build  a  SimulaEon    
  • 13. Probability  of  Inhaler  Use  Predicted  by  Model   Before&interven+on
  • 14. Probability  of  Inhaler  Use  Predicted  by  Model   A"er%interven*on%(10%%reduc*on%in%PM)
  • 15. Louisville  Asthma  Data  Innova2on  Project   David  Van  Sickle,  PhD  |  CEO,  Asthmapolis   Reimagining  Digital  Health  to  Develop  a  Community-­‐Level  InformaEon  System   Ted  Smith,  PhD  |  Chief  InnovaEon  Officer,  The  City  of  Louisville,  KY