Digital Health & Wearable Technology Analytics Solutions
The digital health revolution is generating unprecedented volumes of patient data through wearable devices, mobile apps, and IoMT sensors.
As a specialized digital health consultant, I help organizations transform complex wearable device data and digital biomarkers into actionable clinical insights.
Whether you’re developing Software as Medical Device (SaMD) solutions, validating digital therapeutics, or conducting remote patient monitoring studies, my expertise ensures your digital health analytics meet regulatory standards and clinical requirements.
Comprehensive Digital Health Analytics Services
Convert your wearable technology data into validated clinical evidence.
My end-to-end digital health analytics services help medical device companies, pharmaceutical organizations, and healthcare providers unlock the full potential of their digital biomarker data.
Study Design & Digital Endpoint Development
Design robust clinical studies that leverage digital biomarkers effectively.
- Develop digital endpoint strategies for clinical trials and real-world evidence studies
- Create validation protocols for passive and active digital biomarkers
- Design remote patient monitoring (RPM) frameworks that capture meaningful clinical data
- Establish data collection protocols for wearable sensors and mHealth applications
- Conduct power analyses specific to digital health endpoints
- Create regulatory-compliant study protocols for SaMD validation
Digital Biomarker Validation & Analytics
Transform raw sensor data into clinically meaningful digital biomarkers.
- Validate digital biomarkers against established clinical gold standards
- Develop algorithms for extracting meaningful signals from wearable device data
- Implement machine learning models for pattern recognition in continuous monitoring data
- Conduct reliability and validity assessments for digital health measurements
- Perform drift detection and calibration analysis for longitudinal sensor data
- Create standardized pipelines for digital biomarker processing and quality control
Regulatory Compliance & Documentation
Ensure your digital health solutions meet FDA and international regulatory requirements.
- Develop comprehensive validation reports for Software as Medical Device submissions
- Create detailed statistical analysis plans for digital therapeutics trials
- Document analytical validation procedures for digital biomarker platforms
- Prepare regulatory dossiers that demonstrate clinical utility of digital endpoints
- Establish quality management systems for digital health data processing
- Conduct post-market surveillance analytics for approved digital health products
Real-World Evidence & Post-Market Analytics
Generate compelling evidence from real-world digital health implementations..
- Analyze large-scale wearable technology datasets for population health insights
- Conduct effectiveness studies using digital therapeutics in clinical practice
- Perform comparative effectiveness research using digital health data
- Develop patient-reported outcome correlations with digital biomarker data
- Create dashboard solutions for continuous monitoring of digital health interventions
- Implement predictive analytics for early intervention and risk stratification
IoMT Data Integration & Processing
Handle complex Internet of Medical Things data ecosystems effectively.
- Integrate multiple wearable sensors and mobile health platforms
- Develop data harmonization protocols for heterogeneous digital health sources
- Implement real-time data processing pipelines for continuous monitoring applications
- Create secure data management systems compliant with HIPAA and GDPR
- Establish data quality frameworks for multi-device digital health ecosystems
- Design scalable analytics infrastructure for large-scale digital health deployments
Specialized Consulting & Training
Beyond analysis, I provide strategic guidance for digital health success.
- Expert consultation on digital biomarker strategy and implementation
- Training programs for clinical teams on digital health analytics
- Regulatory strategy consulting for digital therapeutics development
- Due diligence support for digital health technology investments
- Scientific advisory services for digital health research initiatives
- Ongoing support for digital health program optimization
Why Work With Me For Your Digital Health Analytics Needs?
Working with a digital health expert benefits you in many ways.
Time Efficiency
Regulatory Confidence
Clinical Translation
Scientific Rigor
The Digital Health Analytics Process
My consulting process is designed for regulatory compliance and clinical success.
Discovery & Requirements Analysis
Protocol Development & Study Design
Data Processing & Analytics Implementation
Validation & Regulatory Deliverables
For urgent questions, my on-demand consultation service offers quick, cost-saving solutions.
Case Studies
Don’t Just Take My Word For It…
The positive experiences of my happy collaborators showcased through their glowing testimonials, serve as powerful proof of trustworthiness and the impact of the results I deliver. These testimonials offer real-life examples of how I’ve helped research projects succeed. Here are some of their thoughts:
"He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English."
Elsa Brunet-Ratnasginham
Post-doc, UCSF
"I had never before worked with a biostatistician who speaks the same language as me! [...] Personally, our collaboration has allowed me to reconcile with statistics."
Manon Nayrac
Post-doc, CRCHUM
"I highly recommend Justin and his team for your data processing needs in order to have a more robust statistical model than the tests we are accustomed to conducting as biologists!"
Gérémy Sannier
Ph.D candidate, CRCHUM
"Thanks to him, statistics appeared to me as solutions rather than obstacles."
Mathieu Dubé
Research Associate, CRCHUM
My Statistics and Causal Inference Expertise
As a university-level statistics lecturer with a substantial LinkedIn following, scientists from all over the world come to me for my unique combination of academic excellence and practical experience in statistics and causal inference.
I’ve applied causal inference methods in varied settings in both academia and industry: in biomedical sciences such as nephrology, immunology, neuroscience, virology, occupational therapy, epidemiology, dermatology, psychiatry, and oncology; in natural sciences such as agronomy, ecology, and zoology; and social sciences such as communication, and psychology. The list keeps on growing!
I am currently writing an advanced textbook that I hope will give a young generation of academic and industry researches the tools needed to grapple with the complexities of causal inference, and maybe even develop a passion for the subject!
Need help with digital health analytics? From digital biomarker validation to regulatory submission support, I offer specialized expertise in wearable technology data analysis. Together, we can accelerate your digital health innovation and ensure regulatory success.
Tools and Technologies
Advanced Analytics Platforms
Using specialized software including R, Python, and clinical data management systems, I ensure your digital health data generates maximum clinical value.
Digital Health Expertise
I leverage deep experience with wearable sensor technologies, mobile health platforms, and IoMT data processing to create robust analytics solutions that meet regulatory requirements.
Regulatory Compliance Tools
I utilize validated statistical software and documentation systems that support FDA submissions and international regulatory requirements for digital health products.
Client Industries Served
My statistical consulting expertise extends beyond specific industries, serving clients in fields ranging from R&D in biotechnology and pharmaceuticals to researchers and Principal Investigators (PI) in academia.