Data Science Services

Data Science discovery is foundational for planning the use of real-world data (RWD) to answer organizational objectives and improve business decisions. Add words. Through a purposeful approach, MMS data science experts will work to define the strategic goals for a data science engagement, including identification of appropriate data to pair with data available from clinical trials.

In the tree diagram below, Sponsors can view how RWD flows from the roots into usable insights and real-world evidence (RWE) at the leaves.

Data Scientists at MMS are proficient in the abstraction and preparation of data from any source for analysis and/or visualization. At times, this may require creation of a database or data lake to store data, with sources that may include Electronic Health Records (EHR), wearables or other health devices, social media, medical claims, and others. ​

Here are a few ways that Sponsors can engage MMS:

• Data curation, including relationships with data brokers/source(s) to collect and prepare for analysis​
• Intake and standardization of streaming data (i.e. wearables)​
• Curation of EHR data for retrospective analysis to support label expansion​

To aid in data curation, MMS utilizes Datacise® CURATE, a flexible cloud-based application for the collection and aggregation of clinical data through a variety of data mapping or abstraction methods.

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Data Scientists at MMS can provide Sponsors with a deeper understanding of data through custom algorithms and advanced analytical models. This support may include machine learning (ML), natural language processing (NLP), and data mining or web scraping. Our approach allows for complex statistical methodology and novel programming languages, including Julia, Python, R, and others. ​

Here are a few ways that Sponsors can engage MMS:

• Natural language processing of Twitter and Reddit posts to extract drug product related content for safety​ surveillance
• ML-based detection of clinically important subgroups (i.e. data mining)​
• Location-based analyses (i.e. GPS and wearables)​ and compliance reporting
• Image recognition and analysis
• Complex exploratory models

To aid in advanced analytics, MMS utilizes Datacise® ANALYZE, a fully-integrated cloud-based technology platform that supports advanced analytical needs for RWD and other data. For this, we collaborate with SME statisticians towards customizing the end-user dashboard for optimal usefulness ad accurate modeling in the background. This may be the case if including a Kaplan-meier survival plot or Mixed Model Repeated Measures [MMRM] inferential statistics, for instance.

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Data Scientists at MMS provide Sponsors with rapid data insights through browser-based interactive dashboards. With the potential for API data extraction into dashboards, Sponsors can take advantage of automated data refreshes, reports, and alerts to ensure that data is always up-to-date.​

Here are a few ways that Sponsors can engage MMS for visualization support:

• DSMB and Adjudication meetings including dashboards to augment static tables and listings
• Patient profiles to aid in ongoing safety reviews and assessments
• Dashboards for medical device and wearables data
• Site performance dashboards that help clinical teams and data managers monitor study progress
• Safety surveillance signal detection, using social media and regulatory data sources (i.e. FAERS)

To aid in data visualization, MMS utilizes Datacise® EXPLORE, a fully-integrated cloud-based technology platform that provides integrated data visualizations and dashboards to support analysis, review, and ultimately, speed decision-making, without having to wait for programming of “ad-hoc” tables and listings.

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Sponsors around the globe engage with MMS for FSP partnerships in the area of Data Science. Our FSP models are designed to be flexible and scalable, allowing our team and level of engagement to smoothly shift with your changing needs.

Key benefits to engaging in an FSP model with our data scientists include:

• Experience and consistency of an FSP relationship allows MMS to bring the greatest value, rather than other transactional models
• Effective and efficient communication plans by defining roles and responsibilities, with a clear escalation process
• Efficiency gains through interdependent cross-functional services

Through value-added FSP partnerships, MMS strives for seamless collaborations that build trust. Learn more about our FSP model.