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Inspirationsoplæg
Datasandboxes
Oplægsholdere:
Jacob Høy Berthelsen / Direktør, Enversion
Christian Sejersen / CTO, LEO Innovation Lab
Thomas Riisgaard Hansen / Direktør, Kite Invent
Moderator: Morten Jastrup#sundhed18
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
200.000
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
Bringing two worlds together in one framework– Discovery Framework
Data Modeling Best Practices &Expert Knowledge in Health InformaticsD
ecisio
nW
orks
–p
reviou
sly ”The K
imb
all Gro
up
”
Machine Learning Best Practices
20
+ ye
ars
of
pra
ctic
al e
xpe
rien
ce in
M
ach
ine
Lear
nin
g
Discovery Framework
Enversion AI Finance Enversion AI Healthcare
ML competences
Data modeling competences
Technical ML / cloud infrastructure: Input → Real-time calculations → Output
EIA
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
Thomas Riisgaard Hansen
Kite Invent
HEALTH D360
Et 360 graders perspektiv på sundhedsdata
Thomas Riisgaard Hansen
Kite Invent
Health D360 projektet
Partnere
Forskning/GTS: Aarhus Universitet (Institut for
Folkesundhed og Institut for Datalogi), Alexandra
Instituttet og Teknologisk Institut.
Virksomheder: Kite Invent, Cambio, Novax og Opus
Consult
Organisationer: Sundhed.dk, Regionernes Kliniske
Kvalitetsudviklings Program (RKKP) og Danske Patienter
Hospitaler: Bispebjerg Hospital og Regionshospitalet
Randers,
Kommuner: Aarhus, Favrskov, Odder og Ringkøbing-
Skjern.
Health D360 Projekt
Program: Grand Solutions
Innovationsfondens investering: 20 mio.
Samlet projektbudget: 38,5 mio.
Varighed af projektet: 3 år
Projektets officielle titel: HealthD360 – 360 Degree
Health Data Integration and Analysis – digital tools for
continuous and coherent personalized treatment and
empowerment
360 graders perspektiv
Mine sundhedsdata
Aktivitetsniveau Søvn Vægt og kost Puls og Hjerte Gen og mikrobiome
Mine sociale sundhedsdata
Tid på telefon
Kalender Mental tilstand
Brug af sociale medier
Google søgning
Virksomhedskultur
D360 projektet
Health D360
Personlig data Offentlige data
Løsninger Løsninger Løsninger Løsninger
Nøglebegreber
Integration
Sikkerhed
Algoritmer og Machine Learning
Samtykkehåndtering
Datadonation
Lovgivning
Datacertificering
Forretningsmodeller
To cases
MENTABOLSK SUNDHED KRONISKE SÅR
Webwww.kiteinvent.com
LinkedIn – connect or follow!www.linkedin.com/thomasr
Twitter – links to healthcare news@thomasrdk
E-mail – please write : )[email protected]
Tusind tak & spørgsmål?
Project web (to come)
http://mindhood.au.dk/impact-cases/healthd360/
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
1
Decision Curve (DCA)
Recall/Precision Graph
Calibration Graph
ROC Curve
24t AUC: 0.812
RESULTS
31,774 Hospitalizations
NO intervention started
Intervention started
87 %
13 %
384 Hospitalizations with sepsis
29,696 Hospitalizations without sepsisModel finding 151
Early identification of 1 case of sepsis
? Cases of false alarm (false positive)
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
200.000
. . .
Analysis Tools
Predictions
Patient Overview
BI Report
Analyses
(private)
Tools
(Private)
Key Measures
(Public)
Christian Mulvad Sejersen, CTO
L E O Innovat ion L a b
L E O Innovat ion L a b
Est. August 2015 by Denmark's oldest
pharmaceutical company, LEO Pharma
Independent digital healthcare innovation unit
Our aims are:
1. to empower patients to gain more control over
both their condition and treatment,
2. to improve the patient-doctor interaction
3. to promote efficiency for doctors and other
healthcare professionals.
Confederation of Danish Industry Award
Mult i -Disc ipl inary T e a m s
IBM, O c to b e r 2012
“The volume of medical data doubles every five
years”
IBM, Apri l 2015
Source: https://xkcd.com/1838
We help people with
chronic skin conditions
tohealthier skin
We are at the forefront with insights on how
ingredients work, user preferences, and
behaviour
We combine medical science with machine
learning to recommend the most suitable
non-prescription products
More than 3,600 five star reviews
The only online store for chronic skin conditions
116 leadingbrandsPlatform with superior selection
$1,105,000In gross sales in2017
Business model — our growth loops
EngineerWhich ingredients and
formulas work best
HelloSkin LabProduct research and
development
PersonalizedProducts f o r skin needs with
82% gross margin
FeedbackEfficacy data, userpreferences, ingredient insights
HelloSkinSkin care products that are carefully screened and selected by our medical team
CustomersDemographics, skin symptoms, behavioural data
Machine learningFor recommending the most suitable products
HelloYou
TrafficFrom mass market brands and existing users
Monthly O u t p u t
A v e r a g e E v a l u at i on T i m e
S t a n d a r d i z e d Sever i ty A s s e s s m e n t
Repeated mPASI scoring of single photos by the same or different dermatologist showed consistent mPASI ratings of 80% to 50%, respectively.
Repeated mPASI comparison using the similarity clustering programme of any given pair of photos by the same or different dermatologist showed consistent mPASI ratings of >95%.
S k i n D i s e a s e Class i f i cat ion
Christian Mulvad Sejersen
@mulvad
leoinnovationlab.com
“You can’t list your iPhone as your primary-care physician.”Source: https://www.newyorker.com/cartoon/a19128
T h a n k you!
