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Working with Us

When partnering with Medial EarlySign, you are partnering with an organization relentlessly committed to the development of solutions and services designed to create strong personalized predictive models to assist in creation of new stratification and diagnostics tools, overcome gaps in data, and better identification methodologies for patients who would benefit from interventions.  We partner with clients to bring forth solutions that identify and enrich subpopulations who could benefit from earlier treatment and to identify and prioritize patients when interventions stand more chance of halting or preventing the serious complications from the onset of disease.

The Power of Early Detection
and Prevention

We are in unprecedented times. From aging populations to a greater prevalence of chronic and infectious diseases, the demand for healthcare services is ever-rising. Coupled with health organizations gradually shifting focus from reactively treating patients to offering early intervention, the need for a proactive approach to early detection is stronger than ever. Healthcare organizations around the globe have adopted Medial EarlySign’s unique outcome-focused solutions, clinical AI frameworks, and AlgoMarkers to support their efforts in the potential for  early detection of cancers, risk stratification of chronic and infectious disease complications, and predictions of unplanned readmissions and complications from infectious diseases. These high-performing models leverage multiple streams of clinical data like nothing else available today.

Solutions and Partners

In collaboration with leading healthcare organizations, diagnostic companies, health systems, and research centers around the world, EarlySign partners to tackle today’s most complex healthcare challenges. We begin by reviewing and enhancing existing data assets, leveraging previously created models and customized versions, or designing new models that address the specific needs of our clients. In parallel, we work together to understand how the model insight fits into the workflow and with the goal of delivering outcome-focused solutions with clinical and economic value.

Pharma and Life Sciences

Discover opportunities for precise patient targeting, improved understanding in efficacy of treatment, optimize trial design, and more

Payers and Self-Insured Employers

Address complex conditions, monitor their progress, and proactively deliver timely care management insights

Health Systems

Impact the health of populations by identifying at-risk individuals for whom early detection and intervention may have a significant impact

Labs and Diagnostics

Enhance raw lab test results with clinical and actionable prediction models. Provide improved performance and care-level value to caregivers and patients.

Cutting Edge Data Science

We help healthcare organizations manage risk associated with new and innovative projects with proven data science and a guided approach to simplify the complex and insurmountable amounts of data available. Our expert staff of researchers, physicians, data scientists, healthcare IT executives, and developers work together with you to solve real healthcare challenges with applied data science.

Across the Healthcare Ecosystem

Our capabilities enable us to collaborate across the healthcare ecosystem, working with multiple stakeholders who wish to harness clinical signals to derive patient-level insights. Whether we leverage existing solutions or custom build predictive models, our quality solutions have led us to be recognized as a valued partner.

Success Stories

Through rich technology, proven expertise, and real results, our team delivers tangible value to patients and healthcare stakeholders across the continuum. With the timely delivery of customized clinical insights driven from real-world clinical data and validated as described in peer-reviewed publications, EarlySign clients have proven success in clinical practice.

Use of ColonFlag by Maccabi

EarlySign and Geisinger Study to Increase Colon Cancer Screening Rates

Using the ColonFlag model by NHS 

CMS AI Challenge

Prediction of Influenza Complications-a Validated Model

EarlySign and Geisinger Validate Model to Improve Abdominal Aortic Aneurysm Screening