Deployment Outcomes and Field Data
Structured program data from community health worker deployments using contactless rPPG screening technology
Program Outcome Categories
Key data domains captured across active deployments
Screening Volume Metrics
Aggregate counts of individuals screened per program cycle, broken down by geography, demographic cohort, and screening setting. These figures help researchers and funders understand the population-level reach of smartphone-based vitals screening in low-resource environments.
Referral Pathway Activation
Data on how screening results feed into referral workflows. When a community health worker flags an individual for follow-up, where do they go? Tracking referral completion rates and facility-level follow-up illuminates the downstream impact of community-based screening.
Geographic Coverage Mapping
Deployment maps showing where screening programs operate, including rural-urban distribution, distance from nearest health facility, and population density context. Essential data for understanding whether mHealth interventions are reaching the populations that need them most.
Community Health Worker Adoption
Operational data on CHW training time, technology adoption curves, and sustained usage patterns. Understanding how frontline health workers integrate new tools into their practice is critical for designing scalable mHealth interventions.
Program Outcome Categories
Research and Evidence Building
How deployment data contributes to the global health evidence base
Implementation Science Insights
Field deployments generate rich implementation science data: adoption barriers, workflow integration patterns, community acceptance factors, and sustainability indicators. These insights are shared through published research and open collaboration with academic partners.
Longitudinal Program Trends
Programs running across multiple screening cycles produce longitudinal data on population health trends, seasonal variation in screening volumes, and evolving referral patterns. Long-term data is especially valuable for grant-makers assessing program sustainability.
Low-Resource Deployment Learnings
Every deployment in a resource-constrained setting produces operational learnings: connectivity challenges, device durability, power availability, and environmental factors affecting screening quality. These practical insights benefit the entire mHealth community.
Research and Evidence Building
Contactless Screening vs. Traditional Community Health Tools
| Feature | TryCareView | Traditional Methods |
|---|---|---|
| No Consumable Supplies Required | ||
| Works on Standard Smartphones | ||
| Screening in Under 30 Seconds | ||
| Operates in Low-Connectivity Settings | Some | |
| Structured Outcome Reporting |
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