Mikael Wintell och Lars Lindsköld_The VGR Way

The VGR way – To handle Big that
will get Bigger
Mikael Wintell., Chairman DICOM WG 26 (Digital Pathology),
Member IHE, HL7, ISO TC215, eHealth department,
HSA, Region Västra Götaland, Sweden
Lars Lindsköld Ph.D., eHealth department, HSA, Region
Västra Götaland, Sweden
“Golden Record”- VGR
 29 in house X-RAY departments
 4 independent imaging services
 One Teleradiology solution outside VGR
( Barcelona / Sydney)
 One million exams per year / Including SR/ XDS-I /SC
 241 modalities connected Radiology
 14 PACS DB
 14 RIS DB
 Dental Care 1500 labs
 3 Clinical Physiology departments
 2 Screening projects ( AAA an SCAPIS)
 Stored 910 TB Data since 2006
 More than 970 millions independent DICOM objects
2
Big data that will get bigger
within the Healthcare society
WHY?
PREPARE TO SHARE
IT´S ALL ABOUT
CARE
I’M SHARING WHO
CARE´S
SHARING IS CARING
?
Big Data
• To make the most of Big Data we need to ensure that the
source information is trustworthy
• But the complexity and sheer volume of data means that
traditional methods of governance is no longer feasible.
• We need to think out of the BOX!
When the ”Golden Record”
becomes Big Data in Healthcare
• When we added transaction details,
multichannel interactions
• Syndicated data from sources such as
”IRS”, NPS, BFR, SCAPIS, BOIC etc
• When and if we add data from social
media
More data = More *understanding?
Not necessarily!
• Big data extends beyond data that you control in your applications
and data warehouses.
• Potential insights and conclusions can be buried in the ”mess” of
structured, unstructured documents, spreadsheets, reports, email etc
• What we know for sure, the volume of data concerning patients and
their equipment continues to grow each second (24/7/365).
• Another dimension, patient data is often captured in high-velocity
streams. If we can’t do real-time analysis important insights may be
lost and also ”spot on decisions” (neonatal ICU sensor data)
Problem:
Possible resolution Microscope: 0,2 μm
Uterus: approx.200 g tissue ≈ 200 cm³
= 250 000 000 000 000 000 voxels
At 24 bit color: approx.750 petabyte information
Approx.1000 samples/year-> 750 exabyte ( VGR)
“As of May 2009, the size of the World's total Digital content has been roughly estimated to be 500 billion gigabytes, or 500
exabytes.”
- What shall we choose?
Evidenced based care
Personalized Care
Big Data in Medicine
The way we in the future will
handle and organize our
digital data in Healthcare –
might have the biggest
impact on human welfare
ever seen
To know as much as possible
on many ( Evidence care )
Could we better serve you on
an individual base
(Personalized care)
VERSUS
The need for
information in
Research
Production on
healthcare data
N = ALL
Split Information
Producer/
Consumers
Image
Production
MRP = Multi RIS
Production
Information Model
Way In / Out
XDS
RIS
Interoperabilitet
Framworks = Generic,
Radiology other
API
External provider
and user
Additional tagging
Tag Morphing
LOGICAL
OWNERSHIP
Example:
National
Patient Summary
DICOM / HL7 / IHE
Example:
SECTRA RIS/
PACS
Quality Register´s
BROKER
DICOM
SPIDER
STORAGE
New Topic
HCP
REGIONAL
ARCHIVE
ILM
Image Life
Management
XML ( IB )
DISTRIBUTION
Centricity
WebView
Box Structur
SR basic, SR
advanced
Nationell Security
Infrastructur
DATA TIERS
VIRITUALIZATION
Image Portal ?
SR to SC
Structured reports
to Secondary
Capture
Others ?
System
Profession
New Specialities
Without DICOM /
HL7
Data
People
Information
FoUU
The tension between:
Patients Integrity
Patient Safety
The tension between:
Informatics Federations two directions
“Faster, better, cheaper”
“Fear, uncertainty and doubt,”
Thanks
Mikael & Lars
[email protected]
[email protected]