KnowledgeAnalytics - Advanced analytics for knowledge transfer monitoring and evaluation

Interreg Europe - KnowledgeAnalytics Project

The KnowledgeAnalytics project, spearheaded by LAB University of Applied Sciences, focuses on strengthening regional innovation policies that drive digital transformation in Päijät-Häme. These policies aim to advance digital AI-driven health and well-being innovations by enabling targeted funding and R&D support for joint projects that bring together businesses, universities, and public institutions. A key element of these policies is using advanced analytics and AI to boost knowledge transfer, enabling smarter policies and decision-making to support more efficient collaboration within the digital innovation value chain.

For example, policies and policy instrument (Uudistuva ja osaava Suomi 2021-2027) support collaborative R&D projects where AI-powered analytics are used to analyze healthcare data, leading to the development of preventive care solutions such as AI-driven remote monitoring systems and personalized healthcare tools. These policies and policy instruments help businesses and research institutions co-create and scale innovations, ensuring they are practical and ready for real-world application. This targeted support fosters an ecosystem where health tech solutions, driven by AI insights, can address regional challenges like an aging population and rising healthcare costs, while improving the quality of life and enhancing healthcare services.

Keywords

Digitalisation

Health Promotion

Advisory Board | Social and Health Care

Innovation Management

Innovation

Project period

1.1.2024 - 31.3.2028

Project state

On-going

Project area

International

Project funding

Interreg Europe 2021-2027

LAB role

Partner

Unit

Health Care and Social Services

Project focus area

Human well-being

Objectives

The KnowledgeAnalytics project aims to strengthen regional innovation policies in Päijät-Häme, focusing on enhancing digital AI-driven health and wellbeing innovations. By leveraging AI and advanced analytics, the project seeks to optimize knowledge transfer within the innovation value chain between academia, businesses, and public institutions, promoting collaboration that results in cutting-edge digital solutions in health and well-being.

Realisation of goals

The outcomes include enhanced enhanced regional policies to support collaboration within the innovation value chain between academia, industry, and government, resulting in innovative, AI-powered healthcare solutions such as remote monitoring and personalized care systems. These innovations address regional challenges like the aging population and rising healthcare costs, leading to improved healthcare service delivery and long-term regional competitiveness.

Outcomes

The project realizes its goals by enabling targeted funding through the respective policy instrument, and R&D support for joint projects, enabling the co-creation of AI-driven digital innovations. Advanced analytics tools are used to analyze data and identify healthcare gaps, while policy instruments create test environments and pre-pilot opportunities for businesses and research institutions to scale their innovations and apply them in real-world settings.

Sustainable Development Goals