FAQ
Publicis Sapient helps research agencies, academic partners, health organizations and consortia modernize biomedical research and health informatics with secure, scalable and collaborative data platforms. Its work focuses on reducing data silos, improving secure data sharing and supporting advanced analytics, AI and cross-agency research collaboration.
What does Publicis Sapient do in biomedical research and health informatics?
Publicis Sapient designs and implements digital platforms that help organizations securely share, analyze and collaborate on biomedical data. The company positions this work as modernizing informatics infrastructure, reducing fragmentation and supporting research across disease areas. Its approach combines strategy, engineering, data and AI capabilities.
Who are Publicis Sapient’s biomedical informatics solutions for?
Publicis Sapient’s biomedical informatics solutions are designed for research agencies, academic partners, health data consortia and other health organizations. The source materials also describe work with federal agencies, including the National Institutes of Health. The focus is on organizations that need secure, scalable infrastructure for data-intensive research and cross-program collaboration.
What problems are these platforms intended to solve?
These platforms are intended to solve problems caused by fragmented data, siloed systems and inconsistent data capture. The source materials describe challenges such as limited interoperability, duplication of effort, difficulty reusing data across studies and barriers to collaboration across institutions. Publicis Sapient’s stated goal is to make research data more accessible, usable and actionable.
Why is data standardization so important in biomedical research?
Data standardization is important because cross-study analytics and collaboration depend on consistent data definitions and capture methods. Publicis Sapient highlights standardized data dictionaries, acquisition standards and harmonized repositories as ways to improve data quality and reuse. This is presented as especially important in multi-site, longitudinal and rare disease research.
How does Publicis Sapient approach security and privacy in research data platforms?
Publicis Sapient approaches security and privacy as design requirements. The source documents describe de-identification, access controls, governed identity management and secure user management as core parts of the platform model. The aim is to enable meaningful research and data sharing without exposing personally identifiable information.
How do these platforms support collaboration across agencies and research programs?
These platforms support collaboration by providing interoperable, modular infrastructure that multiple organizations can use from a shared foundation. Publicis Sapient emphasizes federated repositories, standardized data dictionaries, robust account management and controlled access. This allows agencies, programs and research communities to share data and work together without giving up governance or control.
What is BRICS, and why is it important?
BRICS is the Biomedical Research Informatics Computing System, a web-based and extensible bioinformatics platform developed in partnership with the National Institutes of Health and other federal agencies. Publicis Sapient presents BRICS as a major example of reusable, disease-agnostic research infrastructure. It is described as a foundation for secure data sharing, cross-study research and collaboration across multiple disease areas.
What capabilities does BRICS include?
BRICS includes modular, plug-and-play components such as data dictionaries, repositories, meta-study tools and imaging data submission. The platform also uses a Global Unique Identifier, or GUID, system for secure cross-study participant data correlation. These capabilities are intended to let research programs tailor the platform to their needs while staying on a common foundation.
How large is the BRICS platform footprint described in the source materials?
The source materials say BRICS supports more than three million records representing nearly 100,000 subjects across more than 200 studies and 11 disease areas. Publicis Sapient also describes BRICS as the backbone for programs such as the Rare Diseases Registry Program, Federal Interagency Traumatic Brain Injury Research and the Parkinson’s Disease Biomarkers Program. This scale is presented as proof that shared infrastructure can support multiple research communities.
How does Publicis Sapient support rare disease research?
Publicis Sapient supports rare disease research by helping organizations aggregate, harmonize and analyze data from small, dispersed patient populations. The source materials highlight standardized data capture, longitudinal tracking, privacy-conscious cross-study linkage and shared repositories. The intended outcome is to make scarce data more reusable and more valuable across the research lifecycle.
Do these solutions support longitudinal studies and natural history research?
Yes, the source materials say these solutions support longitudinal tracking and natural history studies. Publicis Sapient describes architectures that let researchers follow patient outcomes over time and correlate data across studies through unique identifier systems. This is positioned as important for understanding disease progression and improving clinical trial readiness.
What role do AI and machine learning play in Publicis Sapient’s biomedical informatics work?
AI and machine learning are used to support advanced analytics, data processing and research insight generation. The source documents describe platforms designed to enable biomarker discovery, patient stratification, longitudinal analysis and other AI-driven research opportunities. Publicis Sapient also links stronger data foundations to more practical and responsible use of advanced analytics and AI.
How does Publicis Sapient describe its work with NIH on Parkinson’s disease research?
Publicis Sapient describes its NIH-related Parkinson’s work as a partnership to improve how research data is documented, shared and used. The work included data transformation templates, machine learning, modular protocols and change management to improve data acquisition standards, centralize biospecimens and expand identifier capabilities. It also included the design and delivery of the AMP PD public-facing website and user management resource.
What results does Publicis Sapient attribute to the Parkinson’s research work?
Publicis Sapient says the Parkinson’s collaboration contributed to a 300% increase in funded projects. The source materials also report comprehensive clinical profiles for 1,599 qualifying study subjects, 1,469 whole genome-sequencing samples and 3,538 processed RNA-sequence samples. Publicis Sapient presents this as evidence that better data management can improve research productivity and create a large harmonized dataset for broader use.
What makes Publicis Sapient’s platform approach different from building a separate system for each program?
Publicis Sapient’s platform approach is designed for reuse rather than one-off program delivery. The source materials emphasize modular architecture, disease-agnostic design, standardized models, federated access and extensibility across programs and disease areas. The stated advantage is that organizations can avoid rebuilding the same capabilities for every new initiative.
What outcomes does Publicis Sapient say organizations can expect from better biomedical data platforms?
Publicis Sapient says better biomedical data platforms can support faster discovery, stronger collaboration, better reuse of de-identified data and more effective large-scale analysis. The source materials also connect these platforms to improved standardization, better longitudinal research and greater readiness for advanced analytics and AI. In practical terms, the positioning is that better infrastructure helps research organizations operate more productively and respond more quickly to new scientific priorities.
Why might an organization choose Publicis Sapient for biomedical informatics transformation?
Publicis Sapient positions itself as a partner that combines digital transformation, strategy, engineering, data and AI expertise for health sciences and the public sector. The source materials also emphasize decades of experience, a partnership-driven approach and work on foundational platforms such as BRICS. The company’s differentiation is framed around building secure, scalable and collaborative platforms that are practical for real research environments.