Sammanfattning
Value-Based Healthcare (VBHC) addresses inefficiencies in traditional healthcare models that prioritize service volume over patient outcomes. Rising costs, aging populations, and increasing chronic diseases demand a shift toward efficiency, sustainability, and better health outcomes. This dissertation explores VBHC as a solution by integrating economic-effectiveness with measurable clinical results.
VBHC differs from outcome-based healthcare by linking patient outcomes to costs and overall economic impacts, ensuring a comprehensive approach to care quality and financial sustainability. Finland’s occupational healthcare system serves as a case study, highlighting limitations in the KELA reimbursement model, which divides care into preventive (KELA 1) and treatment-based (KELA 2) services. This structure fails to address chronic conditions like obesity, affecting nearly 60% of Finnish adults and driving healthcare costs. Current payment models misalign provider incentives, either promoting excessive procedures or restricting necessary care. A value-based approach prioritizing long-term health outcomes offers a viable alternative.
Beyond reimbursement models, underutilized healthcare data hinders optimization. Only 60% of available data is effectively used, limiting predictive analytics and personalized care. AI-driven analytics and stronger data governance could bridge this gap while ensuring GDPR compliance. However, a major challenge remains: quantifying the economic benefits of VBHC. The Work Left Undone (WUD) model measures the financial impact of absenteeism, workplace injuries, and early retirements, providing a tangible framework for occupational health investments.
Using a mixed-methods approach, this research analyzes ten years of data from 174 Finnish organizations, evaluating trends in sickness absence, accident insurance, and disability pensions. Case studies from Metso Corporation and Lassila & Tikanoja Plc. show that VBHC significantly reduces costs and improves workforce productivity. Metso saved €11.5 million through early intervention programs, while Lassila & Tikanoja Plc. reduced sick leave rates by 24% and increased the average retirement age through proactive healthcare management.
Data-driven approaches play a crucial role in VBHC adoption. Trust and transparency are essential, with clear communication increasing patient willingness to share health data from 65% to 89%. A shift from reactive treatment to preventive care improves patient health, reduces hospital readmissions, and optimizes resource allocation.
Policy recommendations include reforming KELA’s reimbursement model, transitioning to value-based payment systems, expanding AI integration, and strengthening collaboration between employers, healthcare providers, and insurers. These steps ensure a more sustainable, cost-efficient, and patient-centered healthcare system. VBHC is not just a financial strategy but a long-term investment in public health and economic stability.
VBHC differs from outcome-based healthcare by linking patient outcomes to costs and overall economic impacts, ensuring a comprehensive approach to care quality and financial sustainability. Finland’s occupational healthcare system serves as a case study, highlighting limitations in the KELA reimbursement model, which divides care into preventive (KELA 1) and treatment-based (KELA 2) services. This structure fails to address chronic conditions like obesity, affecting nearly 60% of Finnish adults and driving healthcare costs. Current payment models misalign provider incentives, either promoting excessive procedures or restricting necessary care. A value-based approach prioritizing long-term health outcomes offers a viable alternative.
Beyond reimbursement models, underutilized healthcare data hinders optimization. Only 60% of available data is effectively used, limiting predictive analytics and personalized care. AI-driven analytics and stronger data governance could bridge this gap while ensuring GDPR compliance. However, a major challenge remains: quantifying the economic benefits of VBHC. The Work Left Undone (WUD) model measures the financial impact of absenteeism, workplace injuries, and early retirements, providing a tangible framework for occupational health investments.
Using a mixed-methods approach, this research analyzes ten years of data from 174 Finnish organizations, evaluating trends in sickness absence, accident insurance, and disability pensions. Case studies from Metso Corporation and Lassila & Tikanoja Plc. show that VBHC significantly reduces costs and improves workforce productivity. Metso saved €11.5 million through early intervention programs, while Lassila & Tikanoja Plc. reduced sick leave rates by 24% and increased the average retirement age through proactive healthcare management.
Data-driven approaches play a crucial role in VBHC adoption. Trust and transparency are essential, with clear communication increasing patient willingness to share health data from 65% to 89%. A shift from reactive treatment to preventive care improves patient health, reduces hospital readmissions, and optimizes resource allocation.
Policy recommendations include reforming KELA’s reimbursement model, transitioning to value-based payment systems, expanding AI integration, and strengthening collaboration between employers, healthcare providers, and insurers. These steps ensure a more sustainable, cost-efficient, and patient-centered healthcare system. VBHC is not just a financial strategy but a long-term investment in public health and economic stability.
| Originalspråk | Engelska |
|---|---|
| Handledare |
|
| Utgivningsort | Turku |
| Förlag | |
| Tryckta ISBN | 978-952-12-4597-8 |
| Elektroniska ISBN | 978-952-12-4598-5 |
| Status | Publicerad - 2025 |
| MoE-publikationstyp | G5 Doktorsavhandling (artikel) |
Fingeravtryck
Fördjupa i forskningsämnen för ”The Value of Healthcare”. Tillsammans bildar de ett unikt fingeravtryck.Citera det här
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver