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DATA SHARING AND CARING
IN HEALTHCARE
Presented By:
Mark Scrimshire, Advisor
+1 703 623 2789
mark@personiform.com
Oybek Ju...
DEALING WITH A
DATA EXPLOSION
 New Data Sources:
 From the Human Genome to Wearable technology
Data demands are growing ex...
DATA STEWARDSHIP
HIPAA demands Accountability
1.  Data Security
2.  Active Monitoring
3.  Process Accountability
But who s...
DATA MUST BE SECURELY
SHARED
 A growing need to share data
u Between Providers
u With Payers
u With Regulatory Bodies
 ...
CLINICAL RECORDS
Obtaining clinical data in digital form is
now very simple and efficient.
1.  Give your Medyear address
(...
HOW CAN NOSQL
HELP?
HORIZONTAL SCALABILITY
 Predictable Performance
u Linear performance in line with growth
u Commodity building blocks
MORE DATA. MORE INSIGHTS
 Medyear links clinical and Non-Clinical
data
u Preserving data source integrity
u Previously d...
SQRRL-OUR DATA PLATFORM
 Analytics (via Dell Kitenga)
u Fast and easy to manipulate data using drag & drop
u Actionable ...
DATA-CENTRIC SECURITY
 Data Encryption at Rest
 Encryption in Motion
 Fine-grained Access
Controls
 Extensive Auditing
FOUR BIG DATA LESSONS
FOR HEALTHCARE
1.  Data-centric Security
2.  Start small but design
for scale
3.  Iterative refineme...
BUILDING THE FIRST PERSONAL
HEALTH NETWORK
 Simple but powerful controls put the
Member in charge of:
u Who they share wi...
INTUITIVE SHARING
 Privacy is flexible and established on the
fly.
1.  Sharing takes place on the secure
Medyear social ne...
MEDYEAR PLATFORM
SQRRL BRINGS RAPID
DEVELOPMENT BENEFITS
 Sqrrl enables fast, iterative development:
u Integrated Lucene Search capability...
SAMPLE
DATA{	
  
	
  	
  	
  	
  	
  "Id":"u1",	
  
	
  	
  	
  	
  	
  "ElementType":"User",	
  
	
  	
  	
  	
  	
  "Use...
EDGES
{	
  
	
  	
  	
  	
  	
  "Id":"u1",	
  
	
  	
  	
  	
  	
  "ElementType":"User",	
  
	
  	
  	
  	
  	
  "User_Use...
SQL FAMILIARITY WITH
ADDED POWER
+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-...
p1 -> u1 (UserPost)p6 => u3
p3 => u3
p2 => u2
p4 => u1
p5 => u2
p1 => u1
USING
CREATEGRAPHSEARCH
creategraphsearch -d
test...
FILTERING BASED ON TIME
creategraphsearch -d
testdataset -l UserPost -dir
IN -nw
Post_PostDate>=6353269
56534225345
p4 -> ...
C# EXAMPLE USING LUCENE
Init();	
  
var	
  gSearch	
  =	
  Client.CreateGraphSearch(Auth,	
  new	
  GraphQuery	
  {	
  
	
...
C# EXAMPLE WITH
STANDARD PREDICATES
Init();	
  
var	
  queryText	
  =	
  @"SELECT	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  ...
HEALTH IS PERSONAL
u Healthcare is increasingly data driven
u Wearables and Apps are increasing
health data volumes expo...
MARK SCRIMSHIRE
HEALTH AND CLOUD TECHNOLOGIST
CHIEF INSTIGATOR - HEALTHCA.MP
mark@personiform.com
+1.703.623.2789
http://w...
THE FIRST PERSONAL
HEALTH NETWORK -
BUILT WITH SQRRL
THANK YOU!
Medyear.com
Video Demo (https://vimeo.com/90151239)
Data Sharing and Caring In HealthCare - MedYear's experience building Big Data Health Apps
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Data Sharing and Caring In HealthCare - MedYear's experience building Big Data Health Apps

MedYear is the world's first Personal Health Network. This deck is from a joint session with Sqrrl that addresses building Protected Health Information Applications using a Big Data platform. Check out Medyear.com as a platform that puts members in control of what health information they share with whom they share it and for how long they share it using granular, easy controls built on a rich, secure platform.

Data Sharing and Caring In HealthCare - MedYear's experience building Big Data Health Apps

  1. 1. DATA SHARING AND CARING IN HEALTHCARE Presented By: Mark Scrimshire, Advisor +1 703 623 2789 mark@personiform.com Oybek Jumaniyozov Senior .NET Developer Personiform.com
  2. 2. DEALING WITH A DATA EXPLOSION  New Data Sources:  From the Human Genome to Wearable technology Data demands are growing exponentially
  3. 3. DATA STEWARDSHIP HIPAA demands Accountability 1.  Data Security 2.  Active Monitoring 3.  Process Accountability But who should be in control…
  4. 4. DATA MUST BE SECURELY SHARED  A growing need to share data u Between Providers u With Payers u With Regulatory Bodies  And… u To and From Patients
  5. 5. CLINICAL RECORDS Obtaining clinical data in digital form is now very simple and efficient. 1.  Give your Medyear address (user@medyear.com) to provider 2.  Data is securely transmitted from provider EHR to Medyear (as XML file) 3.  Clinical data is parsed into nine categories (see right) 4.  Individual entries, or entire sections, can now be easily shared
  6. 6. HOW CAN NOSQL HELP?
  7. 7. HORIZONTAL SCALABILITY  Predictable Performance u Linear performance in line with growth u Commodity building blocks
  8. 8. MORE DATA. MORE INSIGHTS  Medyear links clinical and Non-Clinical data u Preserving data source integrity u Previously disparate data creates new insights
  9. 9. SQRRL-OUR DATA PLATFORM  Analytics (via Dell Kitenga) u Fast and easy to manipulate data using drag & drop u Actionable intelligence from massive amounts of unstructured and structured data u Analytics and visualization on unstructured and structured data Data-Centric security at the cell-level Scalable to multiple petabytes Complex search and analytics
  10. 10. DATA-CENTRIC SECURITY  Data Encryption at Rest  Encryption in Motion  Fine-grained Access Controls  Extensive Auditing
  11. 11. FOUR BIG DATA LESSONS FOR HEALTHCARE 1.  Data-centric Security 2.  Start small but design for scale 3.  Iterative refinement 4.  Discovery Analytics as critical building blocks
  12. 12. BUILDING THE FIRST PERSONAL HEALTH NETWORK  Simple but powerful controls put the Member in charge of: u Who they share with u What they share u How long they share Security Made Simple. NOT Simple Security
  13. 13. INTUITIVE SHARING  Privacy is flexible and established on the fly. 1.  Sharing takes place on the secure Medyear social network 2.  Users dictate which data is shared, with whom it is shared, and for how long it is shared. ­  @ = certain groups or people ­  # = private chronicles ­  ## = public chronicles (as anonymous) ­  + = time limit on visibility
  14. 14. MEDYEAR PLATFORM
  15. 15. SQRRL BRINGS RAPID DEVELOPMENT BENEFITS  Sqrrl enables fast, iterative development: u Integrated Lucene Search capability u REST API and JSON Support u GraphSearch
  16. 16. SAMPLE DATA{            "Id":"u1",            "ElementType":"User",            "User_UserName":"Isis",            "User_DateRegistered":635317426614205340,            "User_FullName":"Oybek  Jumaniyozov"     }   {            "Id":"u2",            "ElementType":"User",            "User_UserName":"jdoe",            "User_DateRegistered":635321746614215345,            "User_FullName":"John  Doe"       }   {            "Id":"u3",            "ElementType":"User",            "User_UserName":"GeekGuy",            "User_DateRegistered":635326066614215345,            "User_FullName":"Michael  Pitt"     } {            "Id":"p1",            "ElementType":"Post",            "Post_PostContent":"Hello  John",            "Post_PostDate":635326930614215345     }   {            "Id":"p2",            "ElementType":"Post",            "Post_PostContent":"Hello  Isis.  Happy  birthday.",            "Post_PostDate":635326939254225345     }   {            "Id":"p3",            "ElementType":"Post",            "Post_PostContent":"Hello  Everyone.  No  birthdays.",            "Post_PostDate":635326947894225345     } {            "Id":  "p4",            "ElementType":  "Post",            "Post_PostContent":  "Hey  guys  what  about  a  party?",            "Post_PostDate":  635326956534225345     }   {            "Id":  "p5",            "ElementType":  "Post",            "Post_PostContent":  "What  party?",            "Post_PostDate":  635326965174225410   }   {            "Id":  "p6",            "ElementType":  "Post",          "Post_PostContent":  "I  guess  he  is  talking  about  a  birthday  party.  No?",            "Post_PostDate":  635326982454225345     }  
  17. 17. EDGES {            "Id":"u1",            "ElementType":"User",            "User_UserName":"Isis",            "User_DateRegistered":635317426614205340,            "User_FullName":"Oybek  Jumaniyozov"     }   {            "Id":"u2",            "ElementType":"User",            "User_UserName":"jdoe",            "User_DateRegistered":635321746614215345,            "User_FullName":"John  Doe"       }   {            "Id":"u3",            "ElementType":"User",            "User_UserName":"GeekGuy",            "User_DateRegistered":635326066614215345,            "User_FullName":"Michael  Pitt"     } {            "Id":"p1",            "ElementType":"Post",            "Post_PostContent":"Hello  John",            "Post_PostDate":635326930614215345     }   {            "Id":"p2",            "ElementType":"Post",            "Post_PostContent":"Hello  Isis.  Happy  birthday.",            "Post_PostDate":635326939254225345     }   {            "Id":"p3",            "ElementType":"Post",            "Post_PostContent":"Hello  Everyone.  No  birthdays.",            "Post_PostDate":635326947894225345     } {            "Id":  "p4",            "ElementType":  "Post",            "Post_PostContent":  "Hey  guys  what  about  a  party?",            "Post_PostDate":  635326956534225345     }   {            "Id":  "p5",            "ElementType":  "Post",            "Post_PostContent":  "What  party?",            "Post_PostDate":  635326965174225410   }   {            "Id":  "p6",            "ElementType":  "Post",          "Post_PostContent":  "I  guess  he  is  talking  about  a  birthday  party.  No?",            "Post_PostDate":  635326982454225345     }    u1 => p1 UserPost  u2 => p2 UserPost  u3 => p3 UserPost  u1 => p4 UserPost  u2 => p5 UserPost  u3 => p6 UserPost  Edges with label “UserPost” logically means User (VertexIn) owns a post (VertexOut).
  18. 18. SQL FAMILIARITY WITH ADDED POWER +-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |uuid()  json()                                                                          |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u1        |  +-­‐  ElementType:  "User"                                        |   |            |  +-­‐  Id:  "u1"                                                              |   |            |  +-­‐  User_DateRegistered:  635317426614205310|   |            |  +-­‐  User_FullName:  "Oybek  Jumaniyozov"          |   |            |  +-­‐  User_UserName:  "Isis"                                    |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u2        |  +-­‐  ElementType:  "User"                                        |   |            |  +-­‐  Id:  "u2"                                                              |   |            |  +-­‐  User_DateRegistered:  635321746614215300|   |            |  +-­‐  User_FullName:  "John  Doe"                            |   |            |  +-­‐  User_UserName:  "jdoe"                                    |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u3        |  +-­‐  ElementType:  "User"                                        |   |            |  +-­‐  Id:  "u3"                                                              |   |            |  +-­‐  User_DateRegistered:  635326066614215300|   |            |  +-­‐  User_FullName:  "Michael  Pitt"                    |   |            |  +-­‐  User_UserName:  "GeekGuy"                              |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   select uuid(), json() from testdataset where ElementType='User' +-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |uuid()  Id  ElementType  User_DateRegistered  User_FullName        User_UserName|   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u1        |u1|User              |635317426614205310  |Oybek  Jumaniyozov|Isis                |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u2        |u2|User              |635321746614215300  |John  Doe                  |jdoe                |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   |u3        |u3|User              |635326066614215300  |Michael  Pitt          |GeekGuy          |   +-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐-­‐+   select uuid(), Id, ElementType, User_DateRegistered, User_FullName, User_UserName from testdataset where lucene('ElementType:User') Integrated Lucene search:
  19. 19. p1 -> u1 (UserPost)p6 => u3 p3 => u3 p2 => u2 p4 => u1 p5 => u2 p1 => u1 USING CREATEGRAPHSEARCH creategraphsearch -d testdataset creategraphsearch -d testdataset -l UserPost creategraphsearch -d testdataset -l UserPost -s u1 creategraphsearch -d testdataset -l UserPost -s p1 p6 => u3 p3 => u3 p2 => u2 p4 => u1 p5 => u2 p1 => u1 p4 -> u1 (UserPost) p1 -> u1 (UserPost)
  20. 20. FILTERING BASED ON TIME creategraphsearch -d testdataset -l UserPost -dir IN -nw Post_PostDate>=6353269 56534225345 p4 -> u1 (UserPost) p5 -> u2 (UserPost) p6 -> u3 (UserPost) {            "Id":  "p4",            "ElementType":  "Post",            "Post_PostContent":  "Hey  guys  what  about  a  party?",            "Post_PostDate":  635326956534225345     }   {            "Id":  "p5",            "ElementType":  "Post",            "Post_PostContent":  "What  party?",            "Post_PostDate":  635326965174225410   }   {            "Id":  "p6",            "ElementType":  "Post",             "Post_PostContent":  "I  guess  he  is  talking  about  a  birthday  party.  No?",            "Post_PostDate":  635326982454225345     }  
  21. 21. C# EXAMPLE USING LUCENE Init();   var  gSearch  =  Client.CreateGraphSearch(Auth,  new  GraphQuery  {            Dataset  =  "testdataset",            Direction  =  Direction.In,            EdgeLabels  =  new  THashSet<String>  {  "UserPost"  },            NeighborLuceneQuery  =  "Post_PostContent:party"   });     var  res  =  Client.NextGraphSearchResults(Auth,  gSearch);     Client.CloseGraphSearch(Auth,  gSearch);     res.Edges.ForEach(x  =>  Console.WriteLine("{0}  =>  {1}  ({2})",  x.OutVertexUuid,  x.InVertexUuid,  x.Label)); Output: p6 => u3 (UserPost) p4 => u1 (UserPost) p5 => u2 (UserPost)
  22. 22. C# EXAMPLE WITH STANDARD PREDICATES Init();   var  queryText  =  @"SELECT                                              ElementType,                                              Id,                                              Post_PostContent,                                              Post_PostDate                                        FROM                                              testdataset                                        WHERE                                              ElementType='Post'  AND                                              Post_PostDate>=635326956534225410  AND                                              lucene('Post_PostContent:birthday')";     var  queryId  =  Client.CreateQuery(Auth,  queryText);     var  queryResult  =  Client.NextSearchResults(Auth,  queryId);     PrintValues(queryResult.ResultHeader,  queryResult.ResultBatch);     Output: +------------+--+-----------------------------+------------------+ |ElementType |Id|Post_PostContent |Post_PostDate | +------------+--+-----------------------------+------------------+ |Post |p6|I guess he is talking about a|635326982454225410| | | |birthday party. No? | | +------------+--+-----------------------------+------------------+
  23. 23. HEALTH IS PERSONAL u Healthcare is increasingly data driven u Wearables and Apps are increasing health data volumes exponentially u Data sharing demands are exploding u Granular data controls are needed to combine sharing with security u Strong audit trails are needed for Monitoring and Compliance
  24. 24. MARK SCRIMSHIRE HEALTH AND CLOUD TECHNOLOGIST CHIEF INSTIGATOR - HEALTHCA.MP mark@personiform.com +1.703.623.2789 http://www.medyear.com
  25. 25. THE FIRST PERSONAL HEALTH NETWORK - BUILT WITH SQRRL THANK YOU! Medyear.com Video Demo (https://vimeo.com/90151239)

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