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Technology

Our enterprise-ready clinical trial data platform supports the entire clinical trial process: from wearable data collection to deep scientific analysis that influences decisions. We provide a robust infrastructure for high velocity, high volume patient data capture, storage, and analysis, taking into account the complexities of synchronizing multiple wearable devices, sensors, and data streams.

Our enterprise-ready clinical trial data platform supports the entire clinical trial process: from wearable data collection to deep scientific analysis that influences decisions. We provide a robust infrastructure for high velocity, high volume patient data capture, storage, and analysis, taking into account the complexities of synchronizing multiple wearable devices, sensors, and data streams.

Research-ready infrastructure for real world data.

Secure, Reliable Data Engineering

Architected along scalable microservices principles and implemented using modern production-grade technologies. Fault tolerant and horizontally scalable backbone for clinical trial patient data.

Flexible Deployment

Offered as a multi-tenant cloud solution with on-prem deployment available. Fully portable infrastructure, offering managed private clouds for single or multiple tenants as well as hybrid and multi-datacenter deployments.

Sustainable Data Quality

All collected clinical trial patient data stored in its raw original format, unbiased by transformation and normalization, safeguarding the high-quality data for future use. Lineage of the data can always be traced because of immutable records and audit trails.

Secure by Design

Patient data collected and stored according to industry-standard security and encryption best practices. Monitoring, backup systems, audit trails and rigorous automated processes ensure a reliable data infrastructure that’s built for HIPAA and 21 CFR Part 11 compliance.

Applications

Our stack of applications are device agnostic and ideal for early-stage trials, registry work, observational studies, and post-market research.

Trial Builder

Identify, input, and measure the unique components of your clinical trials

Our modular system automates the process of establishing electronic data capture systems for studies. The platform supports more than 200 data sources that describe patients’ behavior and environment. We also draw from a library of validated surveys and can integrate with additional instruments.

Create a study or data collection tool using a simple interface.
Select one or more data streams or define and add your own.
Gather from wearables, non-wearable sensors, smartphones, other devices or surveys, and ePROs.
Import into other systems for downstream analysis and interpretation.

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Trial Companion App

A single application that spans multiple clinical trials, reducing time and costs

The Litmus Trial Companion mobile app accurately gathers external wearable device and phone data, sending information back to our platform in real-time. The app also handles ePro survey responses, which can be collected at regular intervals or triggered by external events. A low-friction, easy data collection experience for your patients means more timely and accurate data for your clinical trial. Litmus Trial Companion is available for iOS and Android phones.

Study Hub

Identify trends and track outcomes across variables with one, unified dashboard

The Litmus Health Study Hub displays real-time data that indicates your study’s progress. See patient population trends at-a-glance and then easily drill down to monitor individual participants’ data. Ensure participant compliance and understand the overall progression of a study.

Understand enrollment and adherence at-a-glance.
Program customizable features, such as push notifications and text messages.
Let Litmus Health respectfully remind patients to take the desired action of your trial.
Download whole or sliced raw, well-shaped JSON data.
Configure persistent, faceted searches to closely monitor particular trends or cohorts.

Litmus ML

Litmus Health is integrated with the open, validated community tools you already use every day

Litmus ML modules help you quickly align and interpolate time series data, integrate multiple orthogonal data sources, and look for correlations between behavior, environment, and patient outcomes.

Combine heterogeneous data streams into one normalized corpus for analysis.
Get instant access to data in your notebook of choice; there’s no data wrangling and no pipeline involved.
Proprietary modeling of errors normalizes device variance and reduces uncertainty across clinical trial data.

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Separate, Secure, and Compliant Environments

Our Software-as-a-Service platform provides automated provisioning electronic data collection systems and rapid deployment in on-premise or private cloud contexts for use across diverse IT systems. We’re clinical trial ready, HIPAA Compliant, 21-CFR Part 11 Compliant, and NIST Cybersecurity Framework Adherent. The data we collect are ready for submission in CDISC’s CDASH format, as mandated by the FDA.

Research-ready, from Day One

Getting started with wearables and new sensor data can be daunting. There’s a completely new data wrangling task amidst significant regulatory and compliance constraints. Our infrastructure allows us to integrate and normalize all types of data streams, making these new data immediately viable for research.

Litmus handles the engineering so you can focus on the science. Up and running in four weeks or less.

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Get In Touch

Are you ready to incorporate real-life data into your observational study, therapeutic trial, or post-market research? We can help you get it right the first time.

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