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Healthdata.be 2017.05.10, HL7 Conference, Healthdata.be 2017.05.10, HL7 Conference,

Healthdata.be 2017.05.10, HL7 Conference, - PowerPoint Presentation

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Healthdata.be 2017.05.10, HL7 Conference, - PPT Presentation

Madrid Maarten Landuyt amp Johan Van Bussel Standardisation of amp data reuse for Belgian health registries Sponsored by Unknown effectiveness 50 Likely to be ineffective or harmful 3 ID: 758515

registry data registries information data registry information registries healthdata amp health care cbb clinical national technical architecture cbbs standardisation

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Slide1

Healthdata.be

2017.05.10, HL7 Conference,

Madrid

Maarten Landuyt & Johan Van

Bussel

Standardisation

of & data reuse for Belgian health registries

Sponsored bySlide2

Unknown effectiveness (50%)

Likely to be ineffective or harmful (3%)

Unlikely to be beneficial (6%)

Trade-off between

benefits and harms (7%)

Likely to be

beneficial (24%)

Beneficial (11%)

BMJ Clinical Evidence (2014)

Clinical registries are necessary!

n = 3000Slide3

3

Epidemiological surveillances are necessary!

Sabbe et al., (2012

) Measles resurgence in

Belgium,

EurosurveillanceSlide4

4

BUT

?

?

?

?

?

?

?

!

?

?

Slide5

The main cause of burn-out in physicians?

#1: increase administrative burden (70.4%)Slide6

6

“René, listen very carefully,

I shall say this

only once

”“Only once”

= key principle of Action plan eHealth 2013-2018Slide7

technical

implementation: free & open

information

architecture: technically neutral

technical

service desk

set of

business processes

Maximal reuse

of

existing data

and

linking of previously collected data

(“only once” registration)

Each data provider receives

timely feedback

reports

within 1 reporting environment

1

Healthdata’s

ambition for healthcare registries

Less administrative

burden & higher efficiency

= more

time for

patient

higher quality of care= more time for research ► higher quality of research= lower costsSlide8

Secure Data

Transfer & encoding of IDs

Data Validation

Annotation & Correction Request

Data Storage

BI-Reporting

Registration

in Primary System

HEALTHSTAT

HD4DP

Analysis

Data

Capture

Data Monitoring

HD4RES

DATAWAREHOUSE (SAS)

Use of National Registry Number

as ID

Trusted Third Party for encryption and pseudonymization

healthdata.be

Healthdata.be at a

glance

Technical description of each data collection

Generic healthdata.be architecture

approved by

:

WG

Architecture

: Positive advise (12/12/2014 & 06/03/2015)

Sectorial

Committee health (Privacy commission)

: Authorization (21/04/2015

)

eHealth-platform

: Authorization (22/04/2015

)Slide9
Slide10
Slide11
Slide12

In production

N = 20

“To do”

N > 100Slide13

Interoperability

Information

architectureSlide14

Variables needed for

scientific

research

question

Information mostly

not available

in primary systems (EHR, HIMS, LIMS, …)

Information

needed

in the

context of

continuity of care

or internal

administration.

Information

should be available in primary systems

(EHR, LIMS, …) in a structured and coded way

Registry

A

Registry

B

Registry

C

Registry

D

Identification

,

typically available in

authentic sources

Typology based on inventory of 8,000 variables collected by ca. 50% of current registriesSlide15

The collection of health care data:

need for interoperability

Redefined eHealth European Interoperability

Framework (IHE)

Legal and regulatory

Policy

Care process

Information

Applications

IT Infrastructure

Legal and regulatory

Policy

Care process

Information

Applications

IT Infrastructure

Compatible legislation and regulations

Collaboration agreements

Alignment of care processes and workflows

Data model, terminologies, formatting

Integration in healthcare applications

Communication and network protocols

Organization A

Organization B

Information

Information

Data model, terminologies, formattingSlide16

Standardisation

of

registry content

International standard: ISO/TS 13972:2015(en): Health informatics —

Detailed Clinical Modeling

, characteristics and processes.

Implementation by

NFU:

“Clinical Building Blocks

The following organizers and participants contributed to the Technical Specification: Health Level 7 International (HL7) (USA), — National ICT Institute in Health Care (NICTIZ, Netherlands), National Health Service (NHS) (England), Canada

Infoway

(Canada), National E-Health Transition Authority (NEHTA),(Australia),

OpenEHR

(International), EN 13606 association (Europe), Intermountain Healthcare (USA), …

Method

Assets

(

products)

N=42Slide17

Example

of a Clinical Building Block “Breathing”

Values: SNOMED-CTSlide18

Standardisation

of

healthdata

registriesSlide19

i

tems match

w/a CBB

100%

i

tems do not

match w/a CBB

42 CBB’s

46 Projects

mapped

3142 itemsSlide20

covers

63%

of

3142

variablesSlide21

Registry standardisation in 3 phases

Phase 1

Map existing registries to CBBs

Phase 2

Adjust questions to CBB structure

Phase 3

CBB-based registriesSlide22

REUSE of data through

a

cbb

-based API on hd4dpSlide23

Interfacing without CBBs

EMR

Input formats (m)

Registries (n)

LIMS

EHR

HL7v3 CDAr2

HL7 FHIR

Basic dataset

KMEHR

Registry 1

Registry 2

Registry 3

m * n connections (max)Slide24

Interfacing with CBBs

EMR

Input formats (m)

Registries (n)

LIMS

EHR

HL7v3 CDAr2

HL7 FHIR

Basic dataset

KMEHR

Registry 1

Registry 2

Registry 3

m + n connections (max)

v

ersus m*n connections from previous slide

CBBsSlide25

Q

&

A

healthdata@wiv-isp.be

www.healthdata.be

healthdata be

@

healthdatabe

Sponsored by