digital health

Syapse: New Power for Patients through Knowledge Sharing

Why do I love Silicon Valley?  Because of the spirit of open collaboration embodied by folks like Halle Tecco, members of XX in Health, and anyone who operates like Jonathan Hirsch.

Hirsch is the co-founder and president of Syapse, and when I first met him at Burrill, Syapse was a relatively new company.  When I had the chance to reconnect with him while speaking at the Strata conference, Syapse had grown into a promising player in the evolving field of health data management and clinical decision support platforms. Hirsch champions the free flow of medical knowledge, and his enthusiasm for collaboration even led him to help me with my blog post, The Lonely Universe of Autoimmune Disease.

One of the main challenges in Big Data in health care is to convert the proliferation of patients’ omics data into useful information.

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Syapse has created a precision medicine data platform that integrates multiple sources of data and turns them into organized, useful information for hospitals, labs and registries.  Jonathan Hirsch describes Syapse’s goal as “helping healthcare providers utilize omics and molecular profiling to better diagnose and treat patients. Currently, omics data does not have a home in the clinical software ecosystem. Syapse software will help integrate omics into routine care.”

Syapse Input-Output .png

  1. In hospitals and healthcare provider groups, the Syapse platform enables clinical decision support based on a patient’s omics data. For example, in clinical genomics – Syapse is working with Intermountain Healthcare to accelerate workflow and make  patient-specific and tumor-specific genomic information available to each patient’s physicians. Syapse integrates clinical information, next generation sequencing, omics data, and biomedical knowledge with test results that can help physicians answer the question “How should I treat my patient?”

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  1. Labs – As shown below, Syapse’s technology manages all aspects of genomic information flow, starting with the time the report is ordered, through sample preparation, NGS, and analytics, to report generation and treatment.

Syapse - Workflow circle.png

  1. For registries – Syapse allows researchers to search for patients based on their omics profiles, streamlining the process of clinical trial participant selection.

Syapse’s semantic computing platform stores data as a graph rather than a rigid collection of tables. This enables the software to work with much more complex data, relationships, and concepts.

“Our goal is to create dynamic and interactive software, to free the clinician to focus on taking care of the patient” Jonathan explained.   “We are now starting to power knowledge sharing networks.  This pooling of knowledge across and between institutions will further improve patient care,” he proudly proclaimed.

As I look to find new ways to use data and digital tools to improve the lives of autoimmune patients, I think that Syapse’s patient-centered knowledge sharing networks are a good first step.

Do you have any ideas on how we can learn from the cancer community and create knowledge sharing networks for autoimmune diseases?

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