Remote Smoking Cessation Study Infrastructure Enhancement

28760.jpg
Healthcare
Case StudiesRemote Smoking Cessation Study Infrastructure Enhancement

Customer OverviewA public health research organization expanding smoking cessation studies beyond geographic limits

A North Carolina–based public health research organization conducting smoking cessation studies with national and international participants. Bridgera implemented a secure, scalable remote clinical study platform enabling nationwide participant onboarding, centralized device data integration and real-time telehealth communication — transitioning the organization from facility-based trials to production-grade decentralized research operations.

The ChallengeGeographic constraints, compliance requirements, and device complexity limiting decentralized trial operations

Geographic Limitation

In-person onboarding and breath analysis restricted participant enrollment to North Carolina facilities. The requirement for physical presence fundamentally capped the study's reach and prevented the organization from recruiting participants outside its immediate region.

Operational Disruption

COVID-19 accelerated the need for remote participation while maintaining study continuity. The pandemic made facility-based research operations untenable and created urgent demand for a digital infrastructure capable of supporting decentralized clinical workflows without compromising data integrity.

Secure Data Requirements

Study protocols required compliant, privacy-protected collection of sensitive participant data. Handling health information across remote environments demanded a rigorous approach to data security, access control, and regulatory compliance throughout every stage of participant engagement.

Scalability Expectations

Leadership sought an infrastructure capable of supporting national and international study expansion. The platform needed to be architected for growth from the outset, enabling additional protocols and participant populations to be incorporated without requiring fundamental re-engineering.

Device Integration Complexity

Multiple remote medical devices required structured interoperability within a unified system. Consolidating data streams from diverse device types into a single, coherent platform presented significant technical challenges that had to be resolved without disrupting study operations.

Client RequirementsNeed for a Secure, Scalable Remote Research Platform Supporting Decentralized Clinical Trials

Remote Participant Enrollment

A secure digital onboarding framework was needed to enable participants across the United States and internationally to enroll in studies without requiring in-person visits to North Carolina facilities, removing the geographic barrier that had previously constrained study reach.

Centralized Device Data Integration

A unified IoT-enabled platform was required to integrate data streams from multiple remote medical devices into a single, consolidated participant data environment, ensuring accurate and consistent data capture regardless of device type or participant location.

Compliant Telehealth Communication

A dedicated in-app communication environment was needed to support structured, compliant researcher–participant engagement, enabling remote study interactions that met the privacy and documentation standards required by research protocols.

Role-Based and SSO Access Controls

Integration with the client’s existing Single Sign-On infrastructure was required, along with role-based access segmentation to ensure that researchers, coordinators, and participants could only access the data and functions relevant to their role within each study.

Multi-Study Scalable Architecture

A flexible cloud backend was needed that could support expansion across multiple study protocols and geographic regions without requiring replatforming, giving leadership the confidence to grow the research program without architectural constraints.

The SolutionA secure, cloud-based remote research platform enabling decentralized trial operations at scale

Remote Participant Onboarding Framework

Designed secure digital enrollment workflows, eliminating reliance on in-person visits and enabling participants across the United States and internationally to complete the full onboarding process remotely within a compliant, privacy-protected environment.

Device Integration Architecture

Integrated remote medical devices into a centralized IoT-enabled data platform for consolidated participant data access, ensuring that data from diverse device types was captured accurately and consistently within a unified system regardless of participant location.

Telemedicine Application Deployment

Built a dedicated in-app communication environment to support structured researcher–participant engagement, enabling compliant, documented interactions between study teams and remote participants throughout every phase of the clinical trial.

SSO and Role-Based Access Controls

Integrated with the client's existing Single Sign-On infrastructure to ensure compliant, segmented data access, with role-based controls ensuring each user could only access the participant data and study functions aligned to their research responsibilities.

Scalable Cloud Infrastructure

Architected a flexible backend capable of supporting multi-study expansion across geographic regions, designed to accommodate additional protocols and participant populations without requiring foundational re-engineering as the research program grows.

The ImpactMeasurable gains in participant reach, study continuity, and AI-ready research data infrastructure

Expanded Participant Reach

Enabled remote enrollment across the United States and international regions, overcoming the geographic barriers that had previously confined participation to North Carolina facilities and significantly expanding the study's accessible population.

Maintained Study Continuity

Preserved operational stability during pandemic-related disruptions through decentralized execution, allowing the research organization to continue conducting studies without interruption despite the closure of in-person research facilities.

Improved Data Reliability

Centralized device integration and structured telehealth workflows reduced manual data handling risk, improving the accuracy and consistency of participant data collected across remote environments throughout the study lifecycle.

Established AI-Ready Research Data Pipelines

Standardized real-time participant data streams capable of supporting future predictive cessation modeling and behavioral analytics, creating the governed dataset foundation needed to apply machine learning to smoking cessation research outcomes.

Positioned for Scalable Trial Expansion

Delivered a production-grade infrastructure that supported additional protocols without replatforming, giving the organization a scalable digital foundation to expand its research program across new studies, participant populations, and geographic regions.

The structured remote infrastructure significantly expanded our ability to conduct smoking cessation research beyond geographic constraints. The disciplined execution ensured data integrity while enabling scalable study growth.
- Director of Clinical Research Operations

Download the Case Study 

Bridgera will use any of the data provided in accordance with the Privacy Policy.

 
ClientJF Petroleum Group
SectorPower, Infrastructure, Distribution, Construction