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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
CRIXlabs
CRIXlabs

0 review

CancerIQ
CancerIQ

0 review

Categories

Solutions

Description

Product Description:

None provided

About CRIXlabs:
CRIXlabs (DBA Quantified Skin) is an artificial-intelligence-based platform with learning, adaptive and recommendation capabilities, enabling enterprise customers track & provide real time support to their user base. Quantified Skin leverages patented algorithms in deep learning (NuSilico) RBM and image recognition and patent pending algorithms for automatic tagging of user generated data for real time user support (TagGen). Technology is being licensed in skin care, home and fitness space.
Product Description:

Medicine is in an era of tremendous progress against cancer. From immunotherapy to multi-cancer early detection tests, we’ve never had better tools to fight disease. Yet people are being diagnosed at earlier ages and later cancer stages, and disparities in cancer outcomes persist. That’s because the traditional, one-size-fits-all approach to cancer prevention and early detection allows patients to fall through the cracks.

CancerIQ is the only platform that makes it possible to start, run and grow a cancer genetics program across broad populations. Integrated directly into real-time EHR workflows, CancerIQ makes it easy to gather comprehensive patient data, automatically map it to the latest evidence-based guidelines, and expand access to personalized care plans, genomic innovations, and cutting-edge clinical solutions.

Feature Highlights

  • Comprehensive Risk Assessment. Close gaps in care with comprehensive, population-level risk assessment based on family history, lifestyle choices and screening adherence 
  • Point-of-care Decision Guidance. Engage, educate and navigate patients through hyper-personalized care pathways based on individual and genetic risk factors 
  • Proven Near-Term ROI. Gain insight into program performance and opportunities for continued improvement and growth.

Testimonials

 

“We’ve seen how the right clinical decision support technology can transform precision medicine, and now we’re poised to see that happen in precision prevention. CancerIQ not only collects family history and genetic information, but it translates it into real-time, actionable, evidence-based alerts, which significantly reduces the burden on our clinical and IT teams. We expect this will help us scale our cancer control efforts, reduce variability in care, and ultimately improve patient outcomes.” — Dr. James L. Weese, FACS, Vice President, Aurora Cancer Care, Advocate Aurora Health "Through our partnership with CancerIQ, we’ve been able to scale a small grassroots genetic testing program into a system-wide initiative to help our primary care providers get ahead of cancer. CancerIQ’s seamless integration with the EMR and high-touch customer success team has not only taken the burden off our IT teams and support staff, but made our health system truly stand out against competitors." — Dr. Candace Westgate, Medical Director, Adventist Health AHEAD Program "There's really no other platform that can help us do what we're trying to do here in our breast center to manage and navigate our high-risk breast patients – our key stakeholders all see the value in it, too. The CancerIQ questionnaire for patients has been a big game changer in that it addresses a much more comprehensive set of genetic, hereditary, and lifestyle risk factors for these women." — Leah Marcantel, RN, Nurse Navigator OCN CN-BN, CGRA, Christus Ochsner Health Southwestern Louisiana “My role is to take the best in clinical practice and roll it out at scale. The providers in our organization are responsible for implementing a wide range of care transformation initiatives, and the CancerIQ SMART on FHIR app makes it easy. Primary care practitioners are responsible for multiple quality, maintenance and preventative care measures, and cancer is the one where we have the potential to make the most impact. That’s why we’re taking advantage of CancerIQ analytics to quantify our work and continuously do better and better.”

— Dr. Rakhal Reddy, System Medical Director of Health Informatics, Adventist Health "As a genetic counselor you want to be able to work with those patients that have a personal or family history of cancer that are getting a referral. But, there are just so many patients out there that are not getting that opportunity. CancerIQ is not only helping me in my everyday job to reduce my administrative workload and reduce the burnout of my staff, but it's also helping us as an organization find more at-risk patients." — Ashley Navarro, MS, CGC, Genetic Counseling Manager & Certified Genetic Counselor, Dignity Health Cancer Institute

About CancerIQ, Inc:

CancerIQ is the only platform that makes it possible to start, run and grow a cancer genetics program across broad populations. Integrated directly into real-time EHR workflows, CancerIQ makes it easy to gather comprehensive patient data, automatically map it to the latest evidence-based guidelines, and expand access to personalized care plans, genomic innovations, and cutting-edge clinical solutions.

Compatibility level

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Clients

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Use Cases

Description:

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Pediatric use cases:

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Users:

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Description:

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Pediatric use cases:

None provided

Users:

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EHR Integrations

Integrations:

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EMR Integration & Relevant Hardware:

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EMRs Supported:

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Hardware Compatibility:

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Integrations:

Ambulatory EMR, Ancillary EMR, Pop health platform

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Allscripts, Meditech, Athenahealth

Hardware Compatibility:

None provided

Client Types

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Differentiators

Differentiators vs EHR Functionality:

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Differentiators vs Competitors:

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Differentiators vs EHR Functionality:

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Differentiators vs Competitors:

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Keywords

Images

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Videos

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AboutCancerIQ-Genetics.mov

Downloads

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https://www.canceriq.com/resources

Alternatives

Company Details

Founded in 2013

Founded in 2013

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