Clinical Decision Support

Transforming complexity into opportunity

Advances in science and technology have resulted in daunting levels of complexity in healthcare, complicating timely treatment decision making. How can digitalisation help?

Managing the complexity of medical practice

Connecting data to connect the dots

Unlocking the potential of digitalisation together


Every patient is unique, as is every healthcare institution. Their shared challenge: managing information.

Clinical decision support tools can help.

Managing the complexity of medical practice

Digital tools such as clinical decision support (CDS) can help manage the exponentially growing medical information, workflow variability, and the dynamic nature of disease management across the care continuum in oncology.


Ban katantaStreamlining workflows and data management across systems and disciplines - from any location

These cloud-based software solutions facilitate tumour board workflow logistics and more detailed case discussions from anyplace - enabling confident, timely and individualised treatment decisions in face-to-face or virtual tumour board reviews. For patients this may increase chances of being reviewed and starting therapy sooner. The result? More effective operations and truly personalised care.

Have a look at the stories below on managing the complexity of oncology care:

Connecting data to connect the dots


From individual to population health

Ban katantaOver time, the thousands of data points patients create throughout their journey not only help identify changes in their health but also enable tracking of similar patient cohorts across institutions and geographies. This will eventually allow for comparison of outcomes as well as predictive measures through artificial intelligence (AI) and machine learning. Digital solutions that can capture the performance of therapies have the potential to support value-based care models.


Healthcare organisations generally recognise the opportunities of health data integration, yet only a small percentage successfully manage data across disciplines, systems and settings.

Read more about the importance of innovative use of data in patient health and operational efficiency in the study by Harvard Business Review Analytics Services, sponsored by Roche.

Unlocking the potential of digital healthcare together

Ban katantaThe growing availability, standardisation, and integration of data from disparate sources across systems and institutions raises new challenges. Successful digitalisation goes beyond implementing new technologies and tools, but has an impact on the broader healthcare infrastructure.

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Changes in workflow, roles & responsibilities

Ban katantaIntegration of digital tools and AI-capabilities affects the workflow in labs and clinics often requiring a redefinition of roles and responsibilities.