cloud based big data analytics for precision healthcare on ... · cloud based big data analytics...

Cloud Based Big Data Analytics for Precision Healthcare on Earth and in Space

Carolyn McGregor AM, PhDCanada Research Chair (Alumni) in Health Informatics, Professor,

University of Ontario Institute of [email protected]

hir.uoit.ca

@UOITHIR@CP_McGregor

mailto:[email protected]

Disclaimer

This presentation will contain photos and clinical case details of premature infants undergoing care in neonatal intensive care

units and military law enforcement.

Precision Public Health

Health Analytics

• Data is the commodity of the 21st century. • By 2020 (Markets and Markets) North America will dominate

the health analytics market and this market will grow to an expected value of $18.7B, up from $5.8B in 2015.

North American Streaming Analytics Market (2016-2022)*

• Streaming Analytics market growth within and outside of healthcare are strong.

• Streaming analytics market is expected to reach $6.1 billion by 2022, growing at a compound annual growth rate (CAGR) of 27.2%

• 2015 - US market size of $874.4 million. • Canada market - fastest growth rate of 30.1% CAGR (2016-2022). • Services segment is expected to grow at the highest CAGR of 29.7%

during the forecast period.

*KBV Research

Extremely preterm infant, day 10 of life…

Ventilated and receiving parenteral nutrition via a central line. All vital signs werestable & within normal range, settings on the ventilator were very stable & bloodgas analyses within normal range. Baby noted to be a bit lethargic on the morningward round & some deterioration in respiratory status. Sepsis was suspected andantibiotics commenced. Blood work confirmed clinical suspicions of sepsis.Unfortunately, baby deteriorated extremely rapidly, developed septic shock anddied within about 14 hours of clinical signs of illness.

Clinical Significance

Causes of Newborn Death

Sepsis / pneumonia

26%

Tetanus7%

Diarrhoea3%

Prematurity27%

Asphyxia23%

Congenital7%

Other7%

• 3,300,000 worldwide neonatal deaths yearly

• Prematurity accounts for 41% of deaths in children under the age of 5

• ¾ of all newborn deaths occur within first 4 weeks of life

• Up to 2/3 of newborn deaths can be prevented if known

Infections 36%

Care of the Preterm Infant

$0 $100,000 $200,000

Extensive Burn with Skin Graft

Newborn/Neonate

Astronaut on a long range mission on the International Space Station, the moon or Mars

Carrying out experiments in space

Coping with adaption to life in a microgravity environment and the stress that putson the body.

It’s a long way to hospital if you become unwell


http://www.google.ca/url?sa=i&source=images&cd=&cad=rja&docid=Gps8na2kVDbelM&tbnid=92Q_2xRu8bssaM:&ved=0CAUQjRw&url=http://www.asc-csa.gc.ca/images/recherche/photo.aspx?id=673&l=eng&ei=8o02UYHuMaWC2gXNgoGIAw&psig=AFQjCNGu_O0zfOnMd4AChIGBwZCu0Nhnbg&ust=1362616167038707

Tactical operator

Carrying out a room clearing exercise to locate an active shooter.

If their heart rate goes too high fine and gross motor skills will begin to fail and theycould develop tunnel vision and pass out.

The trauma from carrying out the exercise to locate and contain the active shootercould contribute to post traumatic stress disorder (PTSD)


Fire Fighter

Carrying out a structure clearing exercise to rescue those trapped in a fire andextinguish a fire. Rescue people from vehicle accidents. Administer CPR untilparamedics arrive.

If their heart rate goes too high fine and gross motor skills will begin to fail and theyare at risk of developing various heart conditions.

The trauma from carrying out the exercise to rescue someone from a structure fireor vehicle accident could contribute to post traumatic stress disorder (PTSD)


Research Software

Research Software is not just about software, high performance computing and the cloud

It is about the stories we can change when we use it and how we can do that at a large scale.


1. Data Science in Healthcare2. Challenges3. Current Initiatives4. Future Directions

Current State

Neonatal Intensive Care Unit

Heart BeatsAvg. 130/min

7800/hr

Blood Oxygen Levels60/min3600/hr

Respiratory RateAvg. 35/min

2100/hr

Technology Advancement

Artemis

http://uoit.ca/

22

Data Integration MgrKnowledge Extraction

Data Miner HIR Data Mover

InfoSphere Streams Runtime

Ontology DrivenRule Modifier

Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

PatientStream

SPAD

E ID

E

USE

R IN

TE

RFA

CE

MedicalDataHub

CIS Adapter

ConfigurationServer

CapsuleTechServer

ClinicalInformation

System

Cognos

Data Aquisition

Online Analysis

Knowledge Extraction

(Re)deployment

ResultPresentation

Stream Persistency

Artemis

McGregor, C., Catley, C., James, A., Padbury, J., “Next Generation Neonatal Health Informatics with Artemis”, Medical Informatics Europe, Oslo, Norway, pp 115-119

http://uoit.ca/

Late Onset Neonatal Sepsis (LONS)

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Hourly Rows Level=0 Hourly Rows Level=1 Hourly Rows Level=2 Hourly Rows Level=3 Hourly Rows Level=4

McGregor, C., Heath, J. and Choi, Y., 2015, “Streaming Physiological Data: General Public Perceptions of Secondary Use and Application to Research in Neonatal Intensive Care”, The 15th World Congress on Medical and HealthInformatics (MedInfo, 2015), Sao Paulo, Brazil, pp453-7.

Sheet1

Hourly Rows Level=029/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 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23:00:00072212255470046543325623272205200309241400128330119397573979501229685723771020163879123133082648246743035138030321383289720853227324376249497628531290000356872290371104273982841401052895880149124725493067Hourly Rows Level=329/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 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5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:00000001100159229000000000000000342800827780000000000033966600000000000000722000000258279000030000000

Sheet2

Sheet3

Artemis Cloud

• Deployed April 2010

• Transmitting de-identified patient data

http://www.mapsofworld.com/images/north-america-map.jpg

McGregor, C., 2011, “A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care”, IEEE Computer Based Medical Systems, Bristol, UK, 6 pages CDROM

Artemis CloudWIHRI

• Clinical research into neonatal instability• Enrolled 203 patients, representing 10.6 patient years of data• Spot readings every minute• The Artemis cloud platform maintained service availability of 100%• Network failure have resulted in 99% real-time availability and

99.9% data processing

McGregor, C., 2011, “A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care”, IEEE Computer Based Medical Systems, Bristol, UK, 6 pages CDROM

http://uoit.ca/

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7/20

10 2

1:00

:00

01/0

7/20

10 2

2:00

:00

01/0

7/20

10 2

3:00

:00

02/0

7/20

10 0

:00:

00

02/0

7/20

10 1

:00:

00

02/0

7/20

10 2

:00:

00

02/0

7/20

10 3

:00:

00

02/0

7/20

10 4

:00:

00

Hourly Rows Level=0 Hourly Rows Level=1 Hourly Rows Level=2 Hourly Rows Level=3 Hourly Rows Level=4

McGregor, C., Heath, J. and Choi, Y., 2015, “Streaming Physiological Data: General Public Perceptions of Secondary Use and Application to Research in Neonatal Intensive Care”, The 15th World Congress on Medical and HealthInformatics (MedInfo, 2015), Sao Paulo, Brazil, pp453-7.

Sheet1

Hourly Rows Level=029/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 22:00:0001/07/2010 23:00:0002/07/2010 0:00:0002/07/2010 1:00:0002/07/2010 2:00:0002/07/2010 3:00:0002/07/2010 4:00:0002/07/2010 5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:00347134713298314822092776250021031601350335402451227234416607463373213111213121342134878166723833443407153200826432281340433023497336429732355182210961133994600595374198713720651111022570228721190016552853355418720000019363219352635863037243214419611882836436Hourly Rows Level=129/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 22:00:0001/07/2010 23:00:0002/07/2010 0:00:0002/07/2010 1:00:0002/07/2010 2:00:0002/07/2010 3:00:0002/07/2010 4:00:0002/07/2010 5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:0000125752559553102350190907360030887425505001635692534641021781612312911494490000009900233702334690069035372619900211243265633340354313584310214404543113000Hourly Rows Level=229/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 22:00:0001/07/2010 23:00:0002/07/2010 0:00:0002/07/2010 1:00:0002/07/2010 2:00:0002/07/2010 3:00:0002/07/2010 4:00:0002/07/2010 5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:00072212255470046543325623272205200309241400128330119397573979501229685723771020163879123133082648246743035138030321383289720853227324376249497628531290000356872290371104273982841401052895880149124725493067Hourly Rows Level=329/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 22:00:0001/07/2010 23:00:0002/07/2010 0:00:0002/07/2010 1:00:0002/07/2010 2:00:0002/07/2010 3:00:0002/07/2010 4:00:0002/07/2010 5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:00760011811504003108012131270062132215044402933106670062034254478838016831913868178482327116310040762163879411274661181262491397701300208219280091317661331583061112613000700133144517664Hourly Rows Level=429/06/2010 12:00:0029/06/2010 13:00:0029/06/2010 14:00:0029/06/2010 15:00:0029/06/2010 16:00:0029/06/2010 17:00:0029/06/2010 18:00:0029/06/2010 19:00:0029/06/2010 20:00:0029/06/2010 21:00:0029/06/2010 22:00:0029/06/2010 23:00:0030/06/2010 0:00:0030/06/2010 1:00:0030/06/2010 2:00:0030/06/2010 10:00:0030/06/2010 11:00:0030/06/2010 12:00:0030/06/2010 13:00:0030/06/2010 14:00:0030/06/2010 15:00:0030/06/2010 16:00:0030/06/2010 17:00:0030/06/2010 18:00:0030/06/2010 19:00:0030/06/2010 20:00:0030/06/2010 21:00:0030/06/2010 22:00:0030/06/2010 23:00:0001/07/2010 0:00:0001/07/2010 1:00:0001/07/2010 2:00:0001/07/2010 3:00:0001/07/2010 4:00:0001/07/2010 5:00:0001/07/2010 6:00:0001/07/2010 7:00:0001/07/2010 8:00:0001/07/2010 9:00:0001/07/2010 10:00:0001/07/2010 11:00:0001/07/2010 12:00:0001/07/2010 13:00:0001/07/2010 14:00:0001/07/2010 15:00:0001/07/2010 16:00:0001/07/2010 17:00:0001/07/2010 18:00:0001/07/2010 19:00:0001/07/2010 20:00:0001/07/2010 21:00:0001/07/2010 22:00:0001/07/2010 23:00:0002/07/2010 0:00:0002/07/2010 1:00:0002/07/2010 2:00:0002/07/2010 3:00:0002/07/2010 4:00:0002/07/2010 5:00:0002/07/2010 6:00:0002/07/2010 7:00:0002/07/2010 8:00:0002/07/2010 9:00:0002/07/2010 10:00:0002/07/2010 11:00:0002/07/2010 12:00:0002/07/2010 13:00:0002/07/2010 14:00:0002/07/2010 15:00:0002/07/2010 16:00:0002/07/2010 17:00:0002/07/2010 18:00:0002/07/2010 19:00:0002/07/2010 20:00:0002/07/2010 21:00:0002/07/2010 22:00:0002/07/2010 23:00:00000001100159229000000000000000342800827780000000000033966600000000000000722000000258279000030000000

Sheet2

Sheet3

0

10

20

30

40

50

60

1/1/08 0:00

1/1/08 12:00

1/2/08 0:00

1/2/08 12:00

1/3/08 0:00

1/3/08 12:00

1/4/08 0:00

1/4/08 12:00

1/5/08 0:00

Date

HRV maximum

RRV maximum

HRVRRV

Num

ber o

f min

utes

low

va

riabi

lity/

hour

LONS and Narcotics

0

10

20

30

40

50

60

1/1/08

0:00

1/3/08

0:00

1/5/08

0:00

1/7/08

0:00

1/9/08

0:00

1/11/0

8 0:00

Post-operative period of HRV shift low and RRV shift low

Extended period of HRV shift low without RRV shift low: LONS

HRVRRV

Num

ber o

f min

utes

low

va

riabi

lity/

hour

Date

McGregor, C., Catley, C., James, (2012), “Variability Analysis with Analytics Applied to Physiological Data Streams from the Neonatal Intensive Care Unit”, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), Rome, Italy

http://uoit.ca/

0

10

20

30

40

50

60

0 12

:00:

000

18:0

0:00

10 0

:00:

000

19:0

0:00

10 1

:00:

0010

7:0

0:00

0 13

:00:

000

19:0

0:00

10 1

:00:

0010

7:0

0:00

0 13

:00:

000

19:0

0:00

10 1

:00:

0010

7:0

0:00

0 13

:00:

000

19:0

0:00

10 1

:00:

0010

7:0

0:00

0 20

:00:

0010

2:0

0:00

10 9

:00:

000

15:0

0:00

0 21

:00:

0010

3:0

0:00

10 9

:00:

000

20:0

0:00

10 2

:00:

0010

8:0

0:00

0 14

:00:

000

20:0

0:00

10 2

:00:

0010

8:0

0:00

0 14

:00:

0010

8:0

0:00

0 14

:00:

000

20:0

0:00

10 2

:00:

0010

8:0

0:00

0 14

:00:

00

HR RR

Anemia of Prematurity

17.83

7.72

36.38 38.97

45.79

53.31

0%5%

10%15%20%25%30%35%40%45%50%55%60%

7am - 7 pm Day Shift 7pm - 7 am Evening Shift

O2 saturation percent frequency using Artemis 1 Hz data collection, day 28

Oxygen Analytics

http://uoit.ca/

Data IntegrationManager


TemporalData Miner

Data Mover


Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

Patient

Stream


Patient

Stream

TAs

TARules

Artemis Timeline

Research

20072008 2010

2012

20162009

Artemis CloudExpansion

Artemis Cloud

FOAK

Artemis

Data IntegrationManager


TemporalData Miner

Data Mover


Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

Patient

Stream


Patient

Stream

TAs

ClinicalWeb

Service

PhysiologicalWeb

Service

Artemis Cloud

ECG

SpO2

BP

HR

ECG

SpO2

BP

HR

AnalyseWeb

ServiceHospital

MonitorWeb

Service

DefineWeb

Service

TARules

Clinical RuleWeb

Service

Artemis Fudan

20132014

FedDev Pre-Commercialization

20182017

India

http://www.sickkids.ca/default.asphttp://www.wihri.com/homepage.cfm

Data Integration

Manager


Temporal

Data Miner

Data Mover

Ontology Driven

Rule Modifier

Deployment Server

Alert Sink

Op

QRS

BP

RR

PT

FA

WT

AR

Sepsis

BPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

Patient

Stream


Patient

Stream

TAs

TA

Rules

*

A

Data Integration

Manager


Temporal

Data Miner

Data Mover

Ontology Driven

Rule Modifier

Deployment Server

Alert Sink

Op

QRS

BP

RR

PT

FA

WT

AR

Sepsis

BPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

Patient

Stream


Patient

Stream

TAs

Clinical

Web

Service

Physiological

Web

Service

Artemis Cloud

ECG

SpO2

BP

HR

ECG

SpO2

BP

HR

Analyse

Web

Service

Hospital

Monitor

Web

Service

Define

Web

Service

TA

Rules

Clinical Rule

Web

Service

*

Artemis Cloud Expansion

Infrastructure in Ontario

http://uoit.ca/

Physiological Monitor Data

• Waveforms:– ECG – 500Hz– Respiratory Impedance - 62.5Hz– Blood Oxygen Plethysmography - 62.5Hz– Blood pressure waveform - 62.5Hz

• Numeric Values: 1Hz

10

20

30

40

50

60

70

80

90

100

HRV% Threshold

Noted to have a small amount of blood in the mouth.

5 ½ hours later baby is noted to be pale

20 minutes later culture taken

15 minutes later septic shock, sedated, intubated with fentanyl, atrophione,succinylcholine, ventilated,

30 minutes later antibiotics started


0

10

20

30

40

50

60

70

80

90

100

HRV% Threshold RRV%

0

10

20

30

40

50

60

70

80

90

100

-12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12

HRV% Threshold RRV%

Australian Peak Facilities and eResearch Centres

Unincorporated joint venture, 40 staff, founded in 2000. Funded by partners, WA Government and the Australian Government.

Pawsey Supercomputing Centre

Greer, R., Olivier, C., Pugh, J. E., Eklund, J.M., McGregor, C., 2014, “Remote, Real-Time Monitoring and Analysis of Vital Signs of Neonatal Graduate Infants”, 36th Annual International Conference of the IEEE EMBS, Chicago, USA, pp 1382-5

Astronaut Motivation


Astronaut Motivation

• Pre mission monitoring• Weightlessness• Radiation• Terrestrial medical conditions • Mental Health during mission• Post mission monitoring

Adaptation Challenges


Neurolab Space Mission

http://www.google.ca/url?sa=i&rct=j&q=neurolab+nasa&source=images&cd=&cad=rja&docid=duWCifif2wXW9M&tbnid=zRP7oObKPWTsHM:&ved=0CAUQjRw&url=http://en.wikipedia.org/wiki/File:Dave_Williams_Neurolab_test.jpg&ei=r5A2UdaQJsWa2AXB7IHoCQ&bvm=bv.43287494,d.b2I&psig=AFQjCNGmMDoSpXvXEjhT9sPeS-ipuE2V1A&ust=1362616798326501





Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

PatientStream

SPAD

E ID

E

USE

R IN

TE

RFA

CE

MedicalDataHub

CIS Adapter

ConfigurationServer

ClinicalInformation

System

Data Aquisition

Online Analysis

Knowledge Extraction(Re)deployment

ResultPresentation

Stream Persistency

Astronaut Monitoring

Stream Persistency

Knowledge Extraction(Re)deployment Stream Persistency

ResultPresentation


Data Miner HIR Data MoverOntology Driven

Rule Modifier

Deployment Server

PatientStream

M G C 2013 “A Pl f f R l i O li H l h A l i d i S fli h ” IEEE A CDROM 8

Dry Immersion 2016

PNEUMOCARD[ 2007-2012]

Parameters: ECG, Respiration, Finger Sphygmogram, Seismogram, Impedance cardiogram (ICG)

SONOCARD[ 2007-2012]

Parameters: Seismogram

COSMOCARD[ 2014-present]

Parameters: ECG, ECG-DM

CARDIOVECTOR[ 2013-present]

Parameters: ECG, BCG, SCG, ICG, Respiration

PULSE[ 2002-2007]

Parameters: ECG, Respiration, Finger Sphygmogram

LUNA 2015[2015]

Parameters: ECG

Parameters: ECG

DRY IMMERSION[2016]

Health and Status

-1,5

-1,0

-0,5

0,0

0,5

1,0

-5 -4 -3 -2 -1 0 1 2 3

Functionalreserves

Stress degree

Intermediate states

Normal states

Premorbide states

Pathological states

FR

ST

Prenosological State

Physiological Norm

Premorbid State

Pathology

55





Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

PatientStream

SPAD

E ID

E

USE

R IN

TE

RFA

CE

CIS Adapter

Cognos

Data Aquisition

Online Analysis


(Re)deployment

ResultPresentation

Stream Persistency

Probabilistic Health Predicting in Real-time

http://uoit.ca/

CASE STUDY – LUNA 2015

Hourly Average Values

Hourly Average Values

5-min Interval Values

5-min Interval Values

Part

icip

ant

1Pa

rtic

ipan

t 2

CASE STUDY – LUNA 2015

Aim: To investigate physiological and psychological effects of the all-female crew on a seven day simulated flight around the moon.

Data acquisition: • Scheduled and discontinuous• Utilizing Cosmocard device

CASE STUDY – DRY IMMERSION 2016

Personalised Precision Training

Physiological Response to Stress

Big Data – Resting Physiology

• Heart beats (60-80/minute)– Average 70/minute| 4200/hour

• Breathing (12-20/minute)– Average 16/minute | 960/hour

• Blood oxygen levels– 60/minute | 3600/hour

Big Data – Combat Physiology

• Heart beats (115-145/minute)– Average 130/minute| 7800/hour

• Breathing (12-20/minute)– Average 16/minute | 960/hour

• Blood oxygen levels– 60/minute | 3600/hour

PTSD and HRV

• Recent studies are reporting early work to track physiological data such as the variability in heart rate (HRV) and showing a very high inverse correlation between HRV and PostraumaticcStress Disorder scores





Deployment Server

Alert SinkOp

QRS

BP

RR PT

FA

WT

AR

SepsisBPA

EP

WTA

HR Source Op

SpO2 Source Op

BP Source Op

CIS Source Op

PatientStream

SPAD

E ID

E

USE

R IN

TE

RFA

CE

Cognos

Data Aquisition

Online Analysis


(Re)deployment

ResultPresentation

Stream Persistency

Athena

http://uoit.ca/

McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2016, “Big Data analytics for Resilience Assessment and Development in Tactical Training Serious Games”,

ACE Pre Fire Workshop

Research Directions

http://www.google.ca/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=KzaXdvYKdw08RM&tbnid=LQLwpSY6dpGMDM:&ved=0CAUQjRw&url=http://www.glogster.com/blu-boo/wide-glog-by-blu-boo-angle-beats/g-6kqoj8nvhsl98eudrgd86a0&ei=Xo3HUsWnK-X4yQGe5oDYCw&bvm=bv.58187178,d.aWc&psig=AFQjCNE913vqx6G8J4taf25GajxNgAR68w&ust=1388895707866880

Clinical Partners

http://uoit.ca/http://www.wihri.com/homepage.cfmhttp://www.sickkids.ca/default.asp

Industry Partners

Funding Acknowledgements

TJ Watson Research Center, NY

Canada

http://www.arc.gov.au/default.htmhttp://www.telstra.com.au/

Twitter

Cloud Based Big Data Analytics for Precision Healthcare on Earth and in Space

Carolyn McGregor AM, PhDCanada Research Chair (Alumni) in Health Informatics, Professor,

University of Ontario Institute of [email protected]

hir.uoit.ca

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Cloud Based Big Data Analytics for Precision Healthcare on Earth and in SpaceDisclaimerPrecision Public HealthHealth Analytics North American Streaming Analytics Market (2016-2022)*Slide Number 6Slide Number 7Clinical SignificanceSlide Number 9Care of the Preterm InfantClinical SignificanceClinical SignificanceClinical SignificanceResearch SoftwareCurrent StateNeonatal Intensive Care UnitNeonatal Intensive Care UnitTechnology AdvancementSlide Number 19Slide Number 20ArtemisArtemisLate Onset Neonatal Sepsis (LONS)Artemis CloudArtemis Cloud�WIHRILate Onset Neonatal Sepsis (LONS)LONS and NarcoticsSlide Number 28Oxygen AnalyticsSlide Number 30Artemis TimelineArtemis Cloud ExpansionSlide Number 33Slide Number 34Physiological Monitor DataSlide Number 36Slide Number 37Clinical SignificanceSlide Number 39Slide Number 40Slide Number 41Slide Number 42Australian Peak Facilities and eResearch CentresPawsey Supercomputing CentreSlide Number 45Slide Number 46Astronaut MotivationAstronaut MotivationAdaptation ChallengesNeurolab Space MissionAstronaut MonitoringDry Immersion 2016BACKGROUND�Space/Terrestrial ExperimentsHealth and StatusProbabilistic Health Predicting �in Real-timeCASE STUDY – LUNA 2015CASE STUDY – LUNA 2015CASE STUDY – DRY IMMERSION 2016Personalised Precision TrainingPhysiological Response to StressBig Data – Resting Physiology�Big Data – Combat Physiology�PTSD and HRVAthenaSlide Number 65ACE Pre Fire WorkshopResearch DirectionsClinical PartnersIndustry PartnersFunding �AcknowledgementsTwitterCloud Based Big Data Analytics for Precision Healthcare on Earth and in Space

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