Improve care and reduce costs with medical algorithms

Transforming healthcare with medical algorithms

Artificial intelligence (AI) is a powerful and disruptive technology, with the potential to fundamentally transform healthcare by deriving new and important insights from the vast amount of data generated in healthcare every day and helping clinicians make better decisions for the patients. Today, there are more than 500 FDA-cleared AI medical algorithms; more than 300 received clearance between 2019 and 2022 alone.1 However, access and integration remain a challenge for healthcare organizations.

Improve care and reduce costs with medical algorithms

Transforming healthcare with medical algorithms

Artificial intelligence (AI) is a powerful and disruptive technology with the potential to fundamentally transform healthcare by deriving new and important insights from the vast amount of data generated in healthcare every day and helping clinicians make better decisions for the patients. Today, there are more than 500 FDA-cleared AI medical algorithms; more than 300 received clearance between 2019 and 2022 alone. 1 However, access and integration remain a challenge for healthcare organizations.

navify Algorithm Suite improves care planning and delivery while reducing healthcare costs

navify Algorithm Suite is a library of medical algorithms where users access a growing collection of clinically validated algorithms to help support their process for clinical decision-making. Similar to an app store, navify Algorithm Suite provides a convenient single location to find algorithms from Roche and third parties, helping facilitate integration and improve data security.

Get to know the navify Algorithm Suite solution

One example is the navify Algorithms, GAAD for the early detection of liver cancer. Combining the results of the biomarkers Elecsys® AFP and Elecsys® PIVKA-II, along with gender and age, GAAD clearly communicates patients’ risk factors, helping physicians make faster evaluations and provide more personalized patient care.

The GAAD algorithm is like a digital parameter that runs in routine as a normal laboratory value – now we have no additional effort! The integration through the navify Algorithm Suite increases data security and standardizes our IVDR-compliant processes.

Prof. Dr. Ralf Lichtinghagen

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navify Digital Pathology optimizes the pathology lab workflow with timely and personalized patient care

We are committed to shaping and revolutionizing the field of pathology with artificial intelligence (AI)-based clinical decision support solutions. Our navify Digital Pathology software platform is part of a complete digital solution – including scanning tissue samples for viewing, image-analysis algorithms, and reporting capabilities – that offers pathologists clinical decision support to ensure accurate and timely diagnosis for improved therapy selection and quality of care.

42%

reduced time-to-diagnosis with Roche digital pathology solutions2

“Roche digital pathology helps us identify patients who can benefit from new immunotherapies.”

Mamatha Chivukula, MD, FASCP | Mills-Peninsula Hospital (Sutter Health Group)

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Learn how Prof. Dr. Lichtinghagen from the University Hospital Hannover [Germany] reflects on the challenges and opportunities for the implementation of clinical algorithms

Learn how Prof. Dr. Lichtinghagen from the University Hospital Hannover in Germany reflects on the challenges and opportunities for the implementation of clinical algorithms.

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Learn how our navify Digital pathology solution improves workflow efficiencies and enables clinical decision making

Learn how our navify Digital pathology solution improves workflow efficiencies and enables clinical decision-making.

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  1. FDA Has Now Cleared More Than 500 Healthcare AI Algorithms, HealthExec. Available from: https://healthexec.com/topics/artificial-intelligence/fda-has-now-cleared-more-500-healthcare-ai-algorithms [Accessed 09/15/2023]
  2. Intraoperative frozen section consultation by remote whole-slide imaging analysis –validation and comparison to robotic remote microscopy.  Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279565/ [Accessed 09/15/2023].

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