Top 10 Lazarus CDS Alternatives & Competitors

Eon uses the most advanced form of AI to create layered Computational Linguistics (CL) data science models. CL understands text and the linguistic structure of English, similar to how the human brain reads. EPM eliminates the noise by extracting clinically relevant information from radiology reports, saves FTE time, and improves patient outcomes.

EPM is the first and only solution to identify incidental pulmonary nodules on Magnetic Resonance (MR), X-Ray, and Computed Tomography (CT) reports. This allows facilities to capture approximately 25% more incidental pulmonary nodules.

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

500 proprietary risk assessment algorithms focused on early disease risk detection to improve early disease and diagnosis.

The UDoTest in-home delivery platform was designed to close screening gaps and to serve your patients with a unique at-home screening experience, that's supported by labs and physicians and focuses on high cost, high-risk diseases.

Blackford Curated Marketplace provides a vetted curated marketplace of regulatory approved medical imaging analysis applications and AI algorithms accessed via Blackford Platform.

We rebuilt the diagnostic imaging communication layer from the ground up to enable patients, providers, clinics and hospitals around the world to get to the right answers in seconds

Following extensive research, we have built a set of Personalised Support Services for cancer patients. These services are based on research and guidelines and offer evidence-based approaches to improve quality of life, while strengthening the relationship between the patient and their medical team.

They have been built by analysing thousands of scientific publications from high impact factor journals, as well as guidelines, medical literature, and databases. This allows CareAcross to match every patient’s needs with the most appropriate support.

We offer services among the following: 

• Breast cancer
• Lung cancer
• Bowel cancer
• Prostate cancer
• Other cancer types

AI solutions help doctors and medical staff to take data-driven decisions. Rather than using the rule-based registries, AI-powered data retrieval method can offer accurate patient information and diagnostics.

While their standard capabilities are broad, Fi-Med has targeted RCM solution for radiology, which will eventually be expanded to other specialties. This uses AI and NLP to examine charts, pull diagnosis and procedure codes from the descriptions, and automatically assign modifiers by payer, all to simplify and streamline the billing process. Preliminary data has indicated this tool not only outperforms its AI contemporaries like 3M, but both on- and off-shore outsourcers; denials can be reduced as much as 30%, leading to a 10% overall boost in revenue.

Allelica’s PREDICT module is a resource for clinical laboratories and healthcare providers to generate personalized PRS reports for common diseases. The end-to-end solution starts with patient genotype data generated from microarray or lcWGS technology. Users can then choose from a range of diseases to report on, including coronary artery disease, breast cancer, and Alzheimer’s disease. In just a few hours, the platform applies Allelica’s predictive analytics to calculate individual genetic risk scores for the diseases of interest. The technology accounts for a patient’s ancestry by comparing the risk scores to a distribution matched to the individual’s ancestry. The resulting report communicates the individual’s genetic risk of disease in a concise and comprehensible document.