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Digital therapeutics (DTx) are expanding what is achievable in healthcare. Whether bundled with medications to improve outcomes, or used independently as part of a treatment algorithm, digital therapeutics are being used to improve medication effectiveness and open brand new opportunities.

Automatically ingest data from dozens of health data sources including...

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ClosedLoop generates explainable predictions using

thousands of auto-generated, clinically relevant contributing factors

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Drive Patient Engagement

Data is at the heart of DTx.  Use the ClosedLoop platform to harness your data, drive patient engagement, and improve targeted outcomes. The platform is engineered to handle real world healthcare data at-scale and enables collaboration across technical, clinical, and data science teams. 

  • Derive important digital biomarkers from active and passive data collection and capture data
    from behavior modification and patient education interventions 
  • Measure changes in patient engagement, satisfaction and outcomes and integrate data from
    EHRs, medical and rx claims, and SDoH data
  • Generate AI-based profiles of engaged patients and learn to identify key Contributing Factors that
    drive engagement and predict outcomes

Maximize Medication Value

Use insights from AI-enriched profiles to maximize the value of your medications.  Identify opportunities to enhance messaging, improve medication adherence, and drive strategic partnerships with payers and ACOs.  

  • Target: Identify opportunities to improve outcomes 
  • Engage: Create intelligent feedback loops of actionable findings with patients 
  • Monitor: Regularly track drug therapies for chronic and complex conditions
  • Integrate: Incorporate AI-enriched patient profiles into clinical workflows for key providers

Accelerate the DTx Path-to-Market

Pharmaceutical companies pursuing DTx strategies are increasingly partnering to create innovative offerings.  But forging a successful partnership is hard.  ClosedLoop can accelerate your path to market by enabling deep collaboration. Whether you are partnering with technology companies or collaborating with payers and ACOs, ClosedLoop’s platform has been engineered to handle real world data at-scale and to enable collaboration across technical, clinical and data science teams.  

  • Identify and target unmet needs 
  • Protect patient privacy with high-quality, reliable production
  • Enable scalable interoperability and workflow integration 
  • Demonstrate impact through real-world use and compelling ROI
Citations & Footnotes

ClosedLoop is an exciting and important partner in our strategy to develop timely predictive insights through operationalized AI solutions that will drive member engagement and better health outcomes.

Pat Wang
President & CEO, Healthfirst

Our partnership with ClosedLoop adds the depth of AI to more accurately identify those patients who are most likely to benefit from our primary care interventions as well to evaluate these interventions and make more relevant and timely modifications to improve their effectiveness.

David Klebonis
Chief Operating Officer, PBACO

We are extremely impressed with the predictive modeling capabilities the ClosedLoop platform has delivered. The ClosedLoop team has exceeded all defined goals and benchmarks set to date and we anticipate a substantial return on our investment as these predictions are operationally deployed.

Cheryl Lulias
President & Executive Director, MHN

We’re able to store and operationalize analytics directly from ClosedLoop. That’s driving real value—it’s accelerated the implementation of key insights into clinical workflows and it allows us to more easily account for all of the different factors that influence intervention decisions.

Christer Johnson
Chief Analytics Officer, Healthfirst

At SWHR, our patient-centered network is committed to innovative care models that are value-based, high-quality, and data-driven. Because of our partnership with ClosedLoop, we’re better able to identify and act on the most impactful opportunities for our physician partners to improve patient results and reduce unnecessary costs.

Dr. Jason Fish
Chief Medical Officer & SVP, Southwestern Health Resources

We compared the ClosedLoop predicted spend to the spend predicted by a leading rules-based risk prediction engine and found that 75% of the time ClosedLoop was closer, and in most cases significantly closer, to the actual spend.

Phillip Bruns
Chief Technology Officer, CareATC

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