Non-Disruptive, Disruptive Innovation for Insilico Supported Coproduction of Health Evidence and of Healthiness

Transcription

1 Non-Disruptive, Disruptive Innovation for Insilico Supported Coproduction of Health Evidence and of Healthiness Niels Boye, MD, Aleris-Hamlet Hospitals and Sundhed.dk, DENMARK

2 Non-disruptive, Disruptive Innovation for Insilico Supported Coproduction of Health evidence and of Healthiness Ubiquitous Insilico Methods for Health for European Societies Niels Boye, MD, Aleris-Hamlet Hospitals and Sundhed.dk, DENMARK

3 Non-disruptive, Disruptive Innovation for Insilico Supported Coproduction of Health evidence and of Healthiness Pervasive Insilico Health-service-model For Health Production, Consumption, and Knowledge discovery Niels Boye, MD, Aleris-Hamlet Hospitals and Sundhed.dk, DENMARK

4 Preamble What I am talking about is already happening in specific health problems - and hence technology is there! I will be talking about how insilico ready data can be a shared assets for the citizen and society. For amalgamation of the production of health and consumption of health to coproduction of health and health evidence HIMSS Europe GmbH 4

5 The aims of concepts presented here are to 1) Gain SOVEREIGNITY OVER HEALTHDATA For the individual in sustaining healthiness organise the consumption of health (demand-side) For society/stakeholders in providing health-services organise the production and improvement of health (supply-side) HIMSS Europe GmbH 5

6 The aims of concepts presented here are to 1) Gain SOVEREIGNITY OVER HEALTHDATA 2) Provide a platform for data-driven (insilico) PROFILING, SUIVAILANCE and FORECASTING on INDIVIDUAL level MESO level (scientific purposes) MACRO level (societal purposes) Without compromising and the General Data Protection Regulation (EU 2016/679) using democratic principles in the governance HIMSS Europe GmbH 6

7 The aims of concepts presented here are to 1) Gain SOVEREIGNITY OVER HEALTHDATA 2) Provide a platform for datadriven (insilico) PROFILING, SUIVAILANCE and FORECASTING 3) Enable a hybrid, transparent, self-regulated market between Healthcare ICT Commodity From sectored market to cross-sectorial functionality and further on To an ecosystemic market for health sustainment respecting ethics and regulatory requirements in healthcare

8 The definition of Coproduction of Health : Supply side 100% Citizen Demand side Digital Health Continuum Coproduction Professional Care 100 % Patient HIMSS Europe GmbH 8

9 1) SOVEREIGNITY OVER HEALTHDATA 2) PROFILING, SUIVAILANCE and FORECASTING 3) ECOSYSTEMIC transparent, self-regulated market Will not happened by itself and by market mechanisms, hence deliberate disruptive innovation should be employed However, due to the complex, highly regulated function of healthcare services involving multiple stakeholders this innovation should be done in parallel and non-intrusive to the daily operations and the daily incremental innovation in services hence non-disruptive, disruptive innovation HIMSS Europe GmbH 9

10 The starting point is Three Abstract-level Fundamentals: 1) In Europe - health is something that we give to each other 2) Data is the only resource that increase in value by being shared, fused and used. Accessibility is more important than ownership 3) (European) healthcare provisions do not in general have the characteristics of commodity provisions HIMSS Europe GmbH 10

11 Healthcare provisions are different from commodity provisions Amartya Sen, the Indian-English welfare-economist and Nobel laurate in Economy in 1998 has in a detailed analysis showed the differences between healthcare and commodity provisions. HIMSS Europe GmbH 11

12 Healthcare provisions are different from commodity provisions - Amartya Sens quick test If your neighbour gets a nice Mercedes you will envy him But if he gets a home dialysis machine (nearly same price) you will not!! HIMSS Europe GmbH 12

13 Further, there are also Three general level fundamentals: Personal health and health in general are in various surveys among citizens rated as one of the most important issue of the welfare society Health issues and problems are the same all over the (Western) world. The methods and knowledge to alleviate them is a shared asset. Only organisational and sponsor specifics differ from nation to nation. Knowledge frameworks in health are in general evolving from intuitive medicine to evidence-based-medicine and further onto emerging precision medicine (invivo -> invitro->insilico) HIMSS Europe GmbH 13

14 NATIONAL RESEARCH COUNCIL(US) COMMITTEE ON A FRAMEWORK FOR DEVELOPING A NEW TAXONOMY OF DISEASE HIMSS Europe GmbH 14

15 Invivo -> Invitro -> Insilico Hence future clinical medicine will be a combination of: Cinical equivalent Complexity controlled by Invivo Intuitive medicine Specialisation and experience Invitro Evidence based medicine Standardisation Insilico 5-P s medicine Algorithms, big data methods HIMSS Europe GmbH 15

16 Invivo -> Invitro -> Insilico Hence future clinical medicine will be a combination of: Cinical equivalent Complexity controlled by Invivo Intuitive medicine Specialisation and experience Invitro Evidence based medicine Standardisation Insilico 5-P s medicine Algorithms, big data methods HIMSS Europe GmbH 16

17 5 -Ps medicine Predictive Personalised Preventive Participatory Point of care HIMSS Europe GmbH 17

18 5 -Ps medicine Data-driven medicine Precision medicine Predictive medicine Clinical insilico medicine Personalised medicine Stratified medicine HIMSS Europe GmbH 18

19 At present Clinical encounter EHR HMO/ Region Other Collaborators Document driven systems and mainly message-based communication to organise the production of healthcare Hospital HIMSS Europe GmbH 19

20 The personal ecosystem technology to organise the consumption of health General Sensors & Actuators Digital Services Assistive Technologies, Specific Sensors & Actuators Providers Entourage

21 At present Clinical encounter EHR HMO/ Region Quality Assurance The personal ecosystem Healthcare Hospital

22 In the near future HMO/ Region Clinical encounter Formal carers eco-system EHR Quality Assurance The personal ecosystem Healthcare Co-production Hospital

23 HMO/ Region Clinical encounter Formal carers eco-system EHR Quality Assurance The personal ecosystem Healthcare Co-production Coproduction of evidence Hospital Trusted information banker & broker creating a SHARED DATA SPACE

24 German Industrial Data Space Project DIGITAL SOVEREIGNITY OVER DATA HIMSS Europe GmbH 24

25 Health Data Space Health Data Bank General Commodity & Gadgets (IOT) Quantifiable self APPs and Personal Healthiness Database Professional resources Google Apple Others

26 Health Data Space Governance Health Data Bank General Commodity & Gadgets (IOT) Quantifiable self APPs and Personal Healthiness Database Insilico Clinical Trials Professional resources Google Apple Others

27 Conclusions - though creation of a shared Health Data Space 1) SOVEREIGNITY OVER HEALTHDATA can be obtained With European democratic, non-commercial control 2) PROFILING, SUIVAILANCE and FORECASTING made possible for Individual, scientific, societal purposes 3) an ECOSYSTEMIC transparent, self-regulated market can be enabled Creating opportunities for European industry through a shared digital service model HIMSS Europe GmbH 27

28 Thank you! Also digital health is something, we give to each other in Europe Niels Boye, MD, Aleris-Hamlet Hospitals and Sundhed.dk, DENMARK