Roche introduces navify® Algorithm Suite, a digital library of medical algorithms that enhances clinical decision-making to optimise patient care
- At the global
HIMSS 1 Conference,Roche showcases navify Algorithm Suite, a single platform offering clinicians access to medical algorithms generating insights to help improve care decisions. - navify Algorithm Suite is a secure digital ecosystem that links physicians easily to a range of medical algorithms from
Roche and its innovation partners without the hurdle of integrating multiple algorithm providers. - First available medical algorithms focus on identifying patients at risk for some liver and colon cancers. Medical algorithms for cardiac, lung and other disease states are in the pipeline.
ROTKREUZ,
Physicians use medical algorithms, evidence-based decision-making tools, in the diagnosis, treatment and monitoring of patients to optimise care, increase early diagnosis and adhere to guidelines. Use of real-time clinical decision support is associated with adherence to evidence-based guidelines and as an aid in screening of colorectal cancer.2,3
"As healthcare data is set to grow,4 digital medical algorithms can generate actionable insights which physicians can use to start delivering on the promise of personalised healthcare," said
navify Algorithm Suite offers labs and hospitals one platform to connect easily to digital medical algorithms from a diverse range of innovators. This makes it easier for physicians to use and adopt the medical algorithms they need. Simultaneously, navify Algorithm Suite also offers universities and other providers of digital algorithms a direct channel to distribute their proven innovations to practising physicians in markets worldwide.
The platform is designed to be embedded in existing healthcare workflows and the lab or hospital information system (LIS/HIS) and/or the EHR/EMR (electronic health/medical record). Designed for optimal information security management, navify Algorithm Suite complies with GDPR (General Data Protection Regulation) regulations in
The first algorithms in the navify Algorithm Suite focus on oncology:
- GAAD5 is intended as an aid in the diagnosis of early stage Hepatocellular Carcinoma (HCC) in patients with chronic liver disease. GAAD (an in-vitro diagnostic multivariate index assay) analyses gender, age in combination with results of two
Roche assays Elecsys AFP and Elecsys PIVKA. This CE-marked algorithm6 may help physicians diagnose early stage hepatocellular carcinoma (HCC). Liver cancer is the sixth most common cancer worldwide7 and HCC is the most common form of liver cancer accounting for ~90% of cases.8 It is not available in the US. - A pre-screening algorithm to identify at-risk healthy people for colorectal cancer. The ColonFlag algorithm from the Medial EarlySign company helps identify patients at high-risk for colon cancer by analysing age, sex, and a recent complete blood count (CBC).9 Colorectal cancer is the 3rd most common cancer worldwide with more than 1.9 million new cases of colorectal cancer in 2020.10 In the US, the ColonFlag algorithm is marketed as LGI-Flag™, as an indication for lower GI disorders.
Additional algorithms for oncology, cardiology and other diseases, such as lung and infectious diseases, are already in the pipeline. navify Algorithm Suite is currently available in
Information about navify Algorithm Suite will be presented at the
- Accelerating access to innovation through open ecosystems
- Digital Innovations for Better Cancer Care
- Accelerating the Digital Transformation of Health Systems with Digital Infrastructure
- C-Suite: How to impact the bottom line with algorithm ecosystems?
- Connected Learning Networks: The Next Frontier in Clinical Algorithm Validation?
The full Roche HIMSS conference program is available here.
About navify
The navify portfolio includes more than 30 digital solutions11 for labs, hospitals and patients worldwide. navify digital solutions securely integrate data across diverse care settings, connecting the healthcare community and accelerating clinician access to the latest innovations and medical insights. Healthcare organisations can visit navify Marketplace to browse and request a growing number of next generation digital solutions from
About
Founded in 1896 in
In recognising our endeavour to pursue a long-term perspective in all we do,
For more information, please visit www.roche.com.
All trademarks used or mentioned in this release are protected by law.
References
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Collaboration to Improve Colorectal Cancer Screening Using Machine Learning NEJM Catalyst Innovations in Care Delivery 2022; 04 Vol. 3 No. 4 | Published |
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Reinsel D, Gantz J, Rydning J. The Digitization of the World from Edge to Core. IDC White Paper – #US44413318. 2018 Nov. |
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Elecsys GAAD is an in vitro diagnostic multivariate index assay intended to provide a semi-quantitative result by combining in an algorithm the quantitative measurements of Elecsys AFP assay and Elecsys PIVKA–II assay in human serum and plasma with gender and age. Elecsys GAAD is intended as an aid in diagnosis of early stage Hepatocellular Carcinoma (HCC). Elecsys GAAD is indicated for adults who meet the following criteria: diagnosis of chronic liver disease and recommended for surveillance due to increased risk of developing HCC. Elecsys GAAD must be interpreted in conjunction with other diagnostic findings and clinical information in accordance with standard clinical management guidelines. |
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GAAD is not registered in all countries, please check for local country registration. |
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Nature reviews disease primers. Hepatocellular carcinoma [Internet; cited 2021 Jan 21] Available from: https://www.nature.com/articles/s41572-020-00240-3 |
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NEJM Catalyst. Collaboration to Improve Colorectal Cancer Screening Using Machine Learning, Innovations in Care Delivery 2022; 04 Vol. 3 No. 4 [Internet; cited 2022 April] Available from: https://doi.org/10.1056/CAT.21.0170 and https://catalyst.nejm.org/doi/full/10.1056/CAT.21.0170 |
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Digital solutions today under cobas® infinity or |
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For further information please contact
Phone: +41 79 909 4099
e-Mail: [email protected]
Phone: +1 669 301 8709
e-Mail: [email protected]
Phone: +41 794 383 797
e-Mail: [email protected]
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