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HEALTH IT IN DENMARK - heading to the next level Director of health policy Erik Jylling Danske Regioner Danish Regions

Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

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Page 1: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

HEALTH IT IN DENMARK- heading to the next level

Director of health policyErik JyllingDanske Regioner

Danish Regions

Page 2: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

EMRAM – global average

Danish Regions

5.3

2.4

4.3

2.0

3.1

5.7

1.8

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0

Denmark (24)

Europe1 (1,321)

US2 (5,447)

Canada2 (640)

Middle East (123)

Singapore (7)

Australia (271)

1) Excl. Denmark; incl. Austria (39), Belgium (2), Finland (3), France (18), Germany (311), Ireland (2), Italy (447), Netherlands (71), Norway (3),

Poland (20), Portugal (18), Slovenia (2), Spain (211), Sweden (1), Turkey (143), Switzerland (7), UK (29)

2) The EMRAM algorithm differs from the European countries, United Arab Emirates, Saudi Arabia and Australia

Source: HIMSS Europe Database, 07/25/2014

EMRAM Score (Means)

Note: In USA and Canada stage 5 and 6 have been

swapped

Page 4: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

THE PATIENT IN THE CENTER

Danish Regions

PATIENT RELATIVES COMMUNEHOSPITALGP

Page 5: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

Danish Regions

Targetedmedicine

is the future

Page 6: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

Danish Regions

Figur 2;The current data-loop (simplified) in the healthcare sector is illustrated with red. Coproduction of Health is supported by two data-loops (the green) – ”The personal eco-system (to the right) and ”the professional eco-system” (left side of the figure). In between these two systems there is an ”inductive coupling” of the data exchange. The blue data-loop; ”Coproduction of evidence” carries selected anonymized data from coproduction of health. The anonymization of data is conducted by the data mediator. In time, data about diseases and health in relations to the parameters of the computermodels will come from a common data storeroom: ”Knowledge Commons”.

Page 7: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

20-04-2015 Danske Regioner

Balancing securityand trust when

sharing data

Page 8: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

20-04-2015 Danske Regioner

Our citizens trust us with their data!

Page 11: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

7 February 2014 Danish Regions

…organizationis the biggestchallenge!

Page 12: Erik Jylling's presentation from the Healthcare DENMARK session at HIMSS 2015

7 February 2014 Danish Regions