Solutions

Real-world care is the transformation of patient data into patient experience.

Advancing care requires real insights and collaboration. At Syapse, we start by analyzing real-world data to generate deep, quality insights that improve outcomes for all people with cancer.

Our solutions seamlessly blend data intelligence, insight analytics and applied experience through a global hub of healthcare organizations that apply real-world evidence to transform patients’ lives.


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Data Intelligence

It is the foundation of every engagement. We bring together structured and unstructured real-world data, AI and deep knowledge to generate the kind of meaningful real-world evidence that saves lives.

How we do it:
  • Differentiated real-world data that comes from our vast community health system views helps us build a comprehensive patient journey.
  • Application of AI along with deep learning algorithms like line-of-therapy (LoT), time to next treatment (TTNT), and overall survival (OS) that combine with merge logic, NLP and machine learning to ensure the application of AI is not a black box.
  • Knowledge and harmonization is how we integrate from multiple sources, use the source of the data to help further inform our findings and manage our proprietary knowledge network.
  • Transparent quality ensures that we employ elevated monitoring throughout the platform, while efficiently managing specific datasets.

Insight Analytics

Through our IA, we identify and assess varied combinations of cohorts, questions and level of customizations to find the right solutions for key audiences, from health care systems, to physicians, to the patients themselves. At the heart of this platform, we offer three major ways to access the data that helps us deliver out of the box insights for end users, crafts comprehensive patient journeys and provide a unique window into community health systems testing patterns.

Get the answers you need, delivered to best suit your needs:
  • Dynamic Product Suite: For rapid point-and-click insights that help users easily explore patient populations, understand molecular testing and compare clinical outcomes.
  • “Pro” Product Suite: With this sandbox approach, you can customize your own code by bringing your own analytics to Syapse’s comprehensive real-world evidence dataset to gain insights and tailor your analysis.
  • Collaborative Research: Syapse epidemiologists and our Data Insights team can also work collaboratively with your team to help you design and executive customized, observational research projects.

Applied Experience

This is the discipline where strategic collaborations between healthcare organizations––including life sciences companies, molecular labs, and regulators––in the Learning Health Network are facilitated by Syapse’s deep partnerships with health systems. Using a proprietary approach, we identify and address gaps in care and monitor outcomes that help elevate our insights from a root cause analysis to a successful, productive, intervention for better care.

Our care impact model rests on:
  • Identifying and Assessing: We collaboratively use real world evidence to understand root causes and prioritize treatment care.
  • Addressing: Then we use data to establish optimized programs that provide more effective treatment regimens for patients.
  • Monitoring: Here we measure the impact of these treatments on patients, monitor KPIs, and adjust to reduce gaps while dynamically supporting what works.
  • Expanding: Finally, we build the business case for expansion, engaging with expansion sites and collaborating with our partners to make it happen.

Customers & Network Partners