The value of clinical decision support
Ban katantaAfter a cancer diagnosis, time becomes of the essence. CDS enables clinicians to make more confident and timely treatment decisions for each individual patient.
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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
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:
Tumour board solutions
Time is essential when you have a cancer diagnosis. Patients need answers, and digital tools can now help clinicians make decisions more quickly.
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.
