12:15-13.30 Inspirationsoplæg Datasandboxes · consistent mPASI ratings of 80% to 50%,...

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12:15-13.30 Inspirationsoplæg Datasandboxes Oplægsholdere: Jacob Høy Berthelsen / Direktør, Enversion Christian Sejersen / CTO, LEO Innovation Lab Thomas Riisgaard Hansen / Direktør, Kite Invent Moderator: Morten Jastrup #sundhed18

Transcript of 12:15-13.30 Inspirationsoplæg Datasandboxes · consistent mPASI ratings of 80% to 50%,...

12:15-13.30

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

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Analysis Tools

Predictions

Patient Overview

BI Report

Analyses

(private)

Tools

(Private)

Key Measures

(Public)

200.000

200.000

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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

[email protected]

@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!