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

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

DEALING WITH A
DATA EXPLOSION
 New Data Sources:
 From the Human Genome to Wearable technology
Data demands are growing exponentially

DATA STEWARDSHIP
HIPAA demands Accountability
1.  Data Security
2.  Active Monitoring
3.  Process Accountability
But who should be in control…

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

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

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 disparate data creates new
insights

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

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 refinement
4.  Discovery Analytics as
critical building blocks

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

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

SQRRL BRINGS RAPID
DEVELOPMENT BENEFITS
 Sqrrl enables fast, iterative development:
u Integrated Lucene Search capability
u REST API and JSON Support
u GraphSearch

SAMPLE
DATA{

"Id":"u1",

"ElementType":"User",

"User_UserName":"Isis",

"User_DateRegistered":635317426614205340,

"User_FullName":"Oybek
Jumaniyozov"

}

{

"Id":"u2",


"User_UserName":"jdoe",


"User_FullName":"John
Doe"

}

{

"Id":"u3",


"User_UserName":"GeekGuy",


"User_FullName":"Michael
Pitt"

}
{

"Id":"p1",

"ElementType":"Post",

"Post_PostContent":"Hello
John",

"Post_PostDate":635326930614215345

}

{

"Id":"p2",


Isis.
Happy
birthday.",

"Post_PostDate":635326939254225345

}

{

"Id":"p3",


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

}

EDGES
{

"Id":"u1",


"User_UserName":"Isis",


"User_FullName":"Oybek
Jumaniyozov"

}

{

"Id":"u2",


"User_UserName":"jdoe",


"User_FullName":"John
Doe"

}

{

"Id":"u3",


"User_UserName":"GeekGuy",


"User_FullName":"Michael
Pitt"

}
{

"Id":"p1",


John",

"Post_PostDate":635326930614215345

}

{

"Id":"p2",


Isis.
Happy
birthday.",

"Post_PostDate":635326939254225345

}

{

"Id":"p3",


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
 Edges with label “UserPost” logically means
User (VertexIn) owns a post (VertexOut).

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"

|

|

|
+-‐
635321746614215300|

|

|
+-‐
User_FullName:
"John
Doe"

|

|

|
+-‐
User_UserName:
"jdoe"

|

+-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐+

|u3

|
+-‐
ElementType:
"User"

|

|

|
+-‐
Id:
"u3"

|

|

|
+-‐
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:

p1 -> u1 (UserPost)p6 => u3
p3 => u3
p2 => u2
p4 => u1
p5 => u2
p1 => u1
USING
CREATEGRAPHSEARCH
creategraphsearch -d
testdataset
testdataset -l UserPost
testdataset -l UserPost -s u1
testdataset -l UserPost -s p1
p6 => u3
p3 => u3
p2 => u2
p4 => u1
p5 => u2
p1 => u1
p4 -> u1 (UserPost)
p1 -> u1 (UserPost)

FILTERING BASED ON TIME
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

}

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)

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? | |
+------------+--+-----------------------------+------------------+

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

MARK SCRIMSHIRE
HEALTH AND CLOUD TECHNOLOGIST
CHIEF INSTIGATOR - HEALTHCA.MP
mark@personiform.com
+1.703.623.2789
http://www.medyear.com

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