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Discover how we work with life sciences partners to drive patient care innovation.

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For Life Sciences

AI-Powered
Care Accelerator

Guiding more patients to the right diagnosis, specialist, and treatment faster

Life Sciences Partnerships

Right patient, right diagnosis, right treatment, right now

Viz.ai’s AI-Powered Care Accelerator harnesses proven algorithms to help healthcare providers (HCPs) guide more patients to the right diagnosis, specialist, follow-up care, and treatment faster.

In partnership with pharmaceutical and medical device companies, Viz.ai develops new, customized solutions for treatable diseases. Viz.ai solutions are integrated directly into HCP clinical workflows, empowering HCPs to treat more patients and swiftly take the next best clinical action, enhancing adherence to clinical guidelines and advancing patient care.

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Healthcare’s leading AI platform

Integrated across leading institutions and specialties

Trusted by 1700+ hospitals and healthcare systems
50,000+ HCP users across multiple specialties
Backed by 100+ clinical publications and abstracts
13 FDA-cleared algorithms
7+ partnerships with leading pharma and medical device companies

How Viz.ai Works

Viz.ai workflow in the hands of HCPs

  • Data collection & analysis

    Ingests data from numerous locations, identifying patients who need follow-up care

  • Real-time HCP notifications

    Sends AI-powered notifications to multidisciplinary care teams via desktop or mobile app

  • HCP next best clinical action

    Triggers HCPs' next best clinical action so more patients reach appropriate care and treatment faster

  • Ingests data from numerous locations, identifying patients who need follow-up care
  • Sends AI-powered notifications to multidisciplinary care teams via desktop or mobile app
  • Triggers HCPs' next best clinical action so more patients reach appropriate care and treatment faster.

    • Viz.ai performance in action

    80% to 90% of alerts viewed within 5 minutes1
    8 patients screened
    every minute
    36 seconds from scan
    to alert2

    Real-World Results

    Viz.ai supports life sciences by increasing the number of treatable patients

    Addressing patient care and workflow challenges

    UNDERDIAGNOSED
    Find and activate more patients, especially those who might be undetected
    Real-World Result
    3.1x increase in potential treatable cases3
    UNDERCONNECTED
    Streamline workflow by getting the right information to the right specialist at the right time
    Real-World Result
    2.3x increase in patients referred for follow-up care4
    UNDERTREATED
    Accelerate access by reducing the time from patient presentation to treatment
    Real-World Result
    14% increase in patients treated1
    Read our life sciences case studies

    Disease areas of focus

    Neuroscience
    Cardiovascular
    Oncology
    Rare Disease
    Respiratory & Immunology

    Life Sciences Case Studies

    Case Study 1

    Case Study: Medtronic Partnership

    Learn how Viz.ai deployed a new AI-Powered Care Accelerator solution to accelerate stroke patient referrals to cardiologists.

    Download case study
    Case Study 2

    Case Study: Top 10 Pharma Partnership

    Learn how Viz.ai deployed a new AI-Powered Care Accelerator solution in an underdiagnosed and undertreated rare disease.

    Download case study

    What our partners are saying

    • "Using technology, we have the opportunity to more easily get patients to the right specialist at the right time."

    • “Many pharma companies want to partner with tech companies to build AI tools to help HCPs and patients. If you create something that supports HCP decision-making and cuts time to diagnosis and treatment, we can greatly improve patient outcomes.”

    • "This use of AI to detect key, subtle characteristics in bio signals to aid physicians in the screening, diagnosis, treatment and monitoring of diseases will have a critical and positive impact on patients’ lives."

    • Vice President at Medtronic

    • Senior Director at a Top 10 pharmaceutical company

    • Vice President at a Top 10 pharmaceutical company

    Resources

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    Experience the power of Viz.ai to transform patient care

    See how partnering with Viz.ai can do more for patients who need your treatments.

    Pharma
    Tom Krohn
    Pharma and Medical Device
    Bill Stadtlander

    References:
    1. Viz LVO. Data on file. 2. US Food and Drug Administration Letter K210237. Mean time-to-notification for AD with a mean of 36.5 seconds and a max time of 90.5 seconds. Accessed August 14, 2024. http://www.accessdata.fda.gov/cdrh_docs/pdf21/K210237.pdf 3. Kim HW, Ballekere A, Ali I, et al. Machine learning–enabled detection of unruptured cerebral aneurysms improves detection rates and clinical care. Stroke Vasc Interv Neurol. Published online 2023. Accessed August 14, 2024. http://www.ahajournals.org/doi/10.1161/SVIN.123.000938 4. YPS Siddharthan Campbell M, Huebsch R, et al. A brain to heart chat – improving workflows of implantable loop recorder for cryptogenic strokes. Neurology. 2024;102 (17 supplement 1). Accessed August 14, 2024. https://www.neurology.org/doi/10.1212/WNL.0000000000208302