Bass Models for EHR, RIS and PACS Diffusion in Finland and Germany.

Area of Science:

• Health Informatics
• Innovation Management
• Sociology of Technology

Background:

• Rogers' Diffusion of Innovation Theory provides a framework for understanding technology adoption.
• Bass models quantify diffusion by distinguishing between innovation (p) and imitation (q) coefficients.
• Healthcare information systems like RIS, PACS, and EHR are critical for modern healthcare delivery.

Purpose of the Study:

• To model and compare the adoption patterns of Radiology Information Systems (RIS), Picture Archiving and Communication Systems (PACS), and Electronic Health Record (EHR) systems in Germany and Finland.
• To analyze the influence of national context and policy on the diffusion of healthcare information systems.

Main Methods:

• Application of Bass diffusion models to analyze adoption data for RIS, PACS, and EHR systems.
• Comparative analysis of diffusion coefficients (p and q) between Germany and Finland.
• Qualitative interpretation of model results considering national policy and market dynamics.

Main Results:

• Finland exhibited a rapid and similar uptake for all three systems, with higher 'imitation' coefficients.
• Germany showed a slower adoption rate for the studied systems.
• Finnish adoption appeared centrally governed, contrasting with Germany's market-driven approach without strong policy support.

Conclusions:

• National policy and governance significantly influence the diffusion speed and patterns of healthcare information systems.
• Direct interpretation of Bass model coefficients requires contextual understanding of adoption drivers.
• Centralized governance in Finland facilitated a well-managed system rollout, distinct from pure imitation behavior.