This IDC Presentation includes data from the IDC European Vertical Markets Survey 2017, focusing on the Western European healthcare providers' information management strategies, governance, and architecture. The goal of this presentation is to analyze how Western European healthcare providers are progressing in their information management readiness as well as aligning strategy, governance, and architecture. Key findings include:
- Information management in healthcare is about aligning strategy, governance, and architecture. As healthcare providers are progressively adopting a value-based healthcare model, their information management strategies should move beyond the need to support compliance and strict operational performance goals and focus on value for patients.
- Big Data/analytics (BDA) technology enables the transition from data to information and then encourages the development of an information management strategy. Adoption and investment plans in BDA solutions are slowing down. BDA supports clinicians in their evidence-based, decision-making processes; integrates clinical pathways; and identifies risky patients.
- Data interoperability is still the main challenge that prevents data integration and limits data governance. As healthcare providers are moving toward population health management and value-based care, data sharing becomes essential to enable a connected ecosystem. However, investments in sharing platforms such as electronic health record (EHR) shared with other providers or health information exchange (HIE) are still low. Germany tops the leagues for both technologies.
- Database enterprisewide aggregated data provides opportunities for machine learning, cluster analysis, and other data techniques to provide new insights. However, cognitive systems adoption is still low, with budgets mostly earmarked for operational efficiency and patient risk stratification. Western Europe is a highly regulated healthcare market. Combine this with a highly fragmented IT landscape between countries, access to data, security (General Data Protection Regulation or GDPR), and governance necessary to drive a successful cognitive/artificial intelligence (AI) project is a challenge.