Architecting and Building the Future of Healthcare Informatics: Cloud, Containers,
Big Data and CHIPS
Rudolph Pienaar, PhD
Technical Director
Fetal-Neonatal Neuroimaging and Developmental Science Center
Staff Scientist
Boston Children's Hospital
introduction
Healthcare informatics is at an inflection point and is perhaps ill suited to handle the information tsunami
This talk considers some of the patterns in information flow - both historical and trending
- Data portability
- Compute portability, i.e. containers
- Big Data
introduction
and offers one particular solution we have developed called...
Cloud
Healthcare
Information
Processing
Service
CHIPS
overview
to guess at the future...
you have to understand the present
Carl Sagan
you have to know the past
to understand the present
overview
Information explosion...
Healthcare
Information explosion...
Healthcare
- 1.65M tumors measured in various modalities
- > 4 exabytes of data in various localities
- 1 petabyte of data (0.001EB) to transfer
- On current Internet, would take about 21 days to transfer this data around.
healthcare... philosophy shapes informatics
historically, healthcare is differential, not integrative
informatics is poorly understood and not seen necessarily as fundamental
classically information relationship is best described as 1:1
the practice of medicine is less integrative
healthcare "compute"...
provided by vendors with very specialized skills and market
thin, vertical stacks
Typical hospital "web" apps...
Typical hospital "web" apps...
Typical hospital "web" apps...
silos...
Multiple, deep data sets exist in the healthcare dataverse
Largely disconnected and independent of each other
clinical
billing
health records
patterns of information flow in healthcare
Current
- Unidirectional
- Isolated
- Non-integrative
- Static
Future
patterns of information flow in healthcare
Current
- Unidirectional
- Isolated
- Non-integrative
- Static
Future
- Multi-directional
- Collaborative
- Integrative
- Dynamic
medical compute... in the cloud
definite need for data mobility and centralization...
with compute being "free" to process data where-ever it might naturally collect...
CHIPS...
CHIPS is a bio-medical data workflow manage that allows easy and intuitive collection, analysis, and sharing of data between parties.
- allows for advanced view rendering
- allows for sharing of images
- allows for immersive real time collaboration
- allows for post-processing of images
many data sources... many compute sources...
via here
connect data here
to here...
and compute!
containerization
security
- Medical data is constrained by many external factors
- Logging and control
- Single shutoff point
- Communication pathways
- HIPAA
- Local regulatory
- IRB
secure architecturally
big data
- Imaging
- Genomics
- Pathology
- Input DICOM space
- Processed result space
- Structured clinical reporting
big data...
UI concepts
conclusion
- Healthcare compute is at an inflection point
- Lags larger computing -verse
- Many opportunities and challenges exist
Untapped opportunity to integrate cutting edge approaches to inform healthcare
references... CHIPS/ChRIS
-
https://github.com/FNNDSC/ChRIS_ultron_backEnd
-
https://github.com/FNNDSC/ChRIS_ultron_frontEnd
references... services
-
https://github.com/FNNDSC/viewerjs
-
https://github.com/FNNDSC/gcjs
-
https://github.com/FNNDSC/fmjs
-
https://github.com/FNNDSC/toolbarjs
-
https://github.com/FNNDSC/rboxjs
-
https://github.com/FNNDSC/rendererjs
-
https://github.com/FNNDSC/thbarjs
-
https://github.com/FNNDSC/pman
-
https://github.com/FNNDSC/pfioh
-
https://github.com/FNNDSC/pfcon
references... viewers
-
https://goxtk.com
-
https://github.com/FNNDSC/ami
team
- Jorge Bernal
- Nicolas Rannou
- Rudolph Pienaar
- Yangming Ou
- Daniel Haehn
- Daniel Ginsburg
- Ellen Grant
BCH Team
BU Team
- Orran Krieger
- Ata Turk
- Aditya Awalker
RedHat
- Dan McPherson
- and others!
fin!
Thank you!
FTC_2017-12min
By Rudolph Pienaar
FTC_2017-12min
Future Technology Conference 2017
