From decision support to reliance - How AI is changing clinical workflows
AI is already transforming how healthcare professionals make decisions. As systems become more advanced, they can analyze complex information and provide increasingly relevant recommendations, supporting clinicians in navigating complex cases more efficiently.
This evolution is gradually changing how AI is used in practice. Rather than simply offering static decision support, AI is becoming a more integrated part of clinical workflows, contributing to decision-making processes while professionals continue to retain responsibility and oversight.
The emerging risks of AI in healthcare: Data access and patient integrity
At the same time, this shift raises critical questions. Who has access to sensitive patient data? How is it used across on-premise systems, sovereign clouds and public clouds? And how can organisations ensure that patient integrity is protected in an increasingly distributed data environment?
Another key concern is trust. AI systems are only as reliable as the data they are built on. Healthcare data today is often inconsistent, incomplete or conflicting. This increases the risk of incorrect insights or even “hallucinations” from AI models, making explainability and transparency essential going forward.
Unprecedented opportunities: From global knowledge to personalised care
Despite these challenges, the opportunities are substantial. AI can enable access to vast global knowledge in seconds and support more personalized care by comparing individual patients to large datasets. Over time, professionals may begin to trust AI similarly to how they trust a junior colleague—gradually, based on repeated accuracy.
But to realize this potential, one priority stands above all: data readiness. Healthcare organizations must improve data quality, ensure semantic interoperability, and make data accessible across systems. Without this foundation, even the most advanced AI solutions cannot deliver reliable outcomes.
Building the foundation for trusted AI in healthcare
Turning AI’s promise into real-world impact requires more than technology alone. It also requires a trusted partner who addresses both the opportunities and the risks. Tieto Caretech supports healthcare organizations in building a strong foundation for AI by improving data quality, enabling semantic interoperability, and supporting secure and compliant data handling across complex environments.
A platform-based approach ensures that data is not locked into siloed systems, making it easier for healthcare providers to apply AI across organizations and accelerate more personalized and data-driven care.
With deep experience in Nordic and European healthcare ecosystems, we combine clinical domain expertise with modern data and AI capabilities, supporting organizations in navigating the transition from experimentation to trusted, operational AI.
Interested in hearing more?
Watch the full interview by HIMSS TV to hear Per Mattsson’s insights on how healthcare organizations can prepare for the next phase of AI-driven transformation.
Or learn more about our AI-powered care.
