Skip to main content

Table 1 Final priorities in Big Data and ICT solutions and Bringing innovation to the market

From: Integrating China in the International Consortium for Personalised Medicine: a position paper on innovation and digitalization in Personalized Medicine

Topic

Priority

Big Data and ICT solutions

1

Select Big Data and make them analysable, comparable, and interoperable across borders

2

Consider data security measures when developing new ICT solutions

3

Enforce the implementation and usage of data standards in Personalised Medicine

4

Adopt ICT solutions to health challenges globally, not just focusing on high-income countries

5

Foster global efforts and joint policies for creating safe zones for cross-border data sharing

6

Stimulate cooperation between academia and industry, facilitating data exchange procedures

7

Embrace the societal and cultural differences among countries with the aim of safeguarding public trust in government and state authorities

Bringing innovation to the market

1

Ensure PM stakeholders follow shared principles and universal data sharing and exchange guidelines when using advanced diagnostics

2

Focus newly marketed solutions on maximising patient health outcomes

3

Assure that health insurance providers extend their coverage to innovative PM solutions and that the reimbursement of services is guaranteed

4

Reduce the economic costs and lower the barriers to the market uptake of personalised diagnostics

5

Intensify the dialogue between public health systems and the developers of PM solutions and products

6

Urge stakeholders to have a holistic and long-term perspective on the budget when placing priorities on innovation

7

Elaborate on cost-effectiveness and economic analysis models that consider the social and healthcare budgets

8

Extend the role of personalised diagnostics in sustainable medical treatment

9

There is a greater need for early, intense, coordinated, and continued crosstalk among all PM stakeholders to support breakthrough innovations

10

Reward innovations that aim for a higher therapeutic value and guide innovation efforts towards the most relevant areas

11

Develop methodologies to measure the social value of pharmaceutical products and systematically use such methods, e.g., in the context of health technology assessment

12

Keep into account the interconnection and mutual dependency between diagnostics and therapeutics