Roche has introduced its navify Algorithm Suite, a single platform hosting a library of medical algorithms to support faster clinical decision-making and more personalised care for patients.
The medical algorithms are able to generate patient-centric insights, which can also help with earlier diagnosis for some conditions. The evidence-based decision-making tools are used in the diagnosis, treatment and monitoring of patients in order to optimise care and ensure guidelines are adhered to.
The secure digital ecosystem will link physicians to a range of medical algorithms from Roche and its innovation partners without the need to integrate multiple algorithm providers.
In addition, the solutions allows universities and other digital algorithm providers, a direct channel to distribute their proven innovations to practising physicians.
Moritz Hartmann, global head of Roche Information Solutions at Roche Diagnostics, said: “As healthcare data is set to grow, digital medical algorithms can generate actionable insights which physicians can use to start delivering on the promise of personalised healthcare.
“With navify Algorithm Suite, clinicians can easily order the medical algorithms they need from Roche and other providers to get enhanced insights that improve patient care.”
The platform can be embedded into existing healthcare workflows and the lab or hospital information system (LIS/HIS) as well as the electronic health record (EHR). It complies with the General Data Protection Regulation (GDPR) regulations in Europe.
The navify Algorithm Suite is being unveiled at the HIMSS Global Conference, taking place in Chicago this week.
The first available medical algorithms on the platform focus on identifying patients at risk of some liver and colon cancers. Medical algorithms for cardiac, lung and other disease states are currently in the pipeline.
At the end of 2022, former Rewired Pitchfest winner, TestCard, signed a contract with Roche, to see its ClearScreen app includes on Roche’s cobas pulse scanning technology’s digital ecosystem.
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