Insights on health technology, vitals monitoring, and wellness from the TryCareView team.
A research-based analysis of how academic researchers partner with community health programs for field studies, from co-design and trust to evidence and implementation.
A research-based comparison of randomized trials and real-world evidence for evaluating mHealth outcomes in field programs, from causality and bias to scale decisions.
A research-style review of community health screening findings from East Africa, with lessons on workflow, referrals, trust, supervision, and evaluation design.
A field-based analysis of how a district health office Uganda referral delays screening strategy can improve handoffs, follow-up, and local decision-making.
A research-based look at health technology impact evaluation methods for field programs, from trials and mixed methods to implementation and cost analysis.
A research-based analysis of community champions health technology adoption, from local trust-building to training, referrals, and long-term program uptake.
A research-based look at why human side health technology stories matter, from community trust and worker adoption to referral follow-through in global health programs.
A research-based review of three years field deployment lessons from community health programs, covering workflow design, training, supervision, and scale.
A research-led look at health screening East Africa visual trends, from community health workflows to the dashboards guiding public health decisions.
A research-based analysis of how community feedback shapes digital health programs, from design choices and worker adoption to trust, referrals, and long-term use.
A research-based look at how health screening clinic visit patterns rural programs create, from referral surges to follow-up gaps and changing care demand.
A research-based look at how school health programs using contactless screening work, from workflow design and triage to privacy, referrals, and national scale-up.
Research-based analysis of how technology empowers women health workers in Africa through data access, credibility, supervision, training, and local leadership.
A research-based look at what community health data reveals about population health, from hidden disease burden to referral gaps and clinic demand shifts.
What health ministry officials say about screening technology, from interoperability and workforce training to privacy, procurement, and rural deployment realities.
A field-based analysis of health screening referral pathways, from community screening and triage to clinic arrival, follow-up, and real-world completion gaps.
An evidence-based look at what community health workers think about digital tools, including trust, training, cost barriers, and field-level adoption.
A research-based look at how health screening programs build community trust through local workers, referrals, feedback loops, and credible follow-up care.
An evidence-based look at how mothers in Uganda experience prenatal health screening, from antenatal contacts and CHW outreach to digital tools in rural care.
An examination of how Uganda's village health teams are integrating smartphone-based screening technology into community health workflows, with implications for researchers and public health institutions.
A single smartphone introduced into a rural village health post in Malawi transformed screening workflows, generating lessons for global health program design.
Qualitative findings from household interviews across four African countries reveal how families experience and perceive contactless health monitoring technology.
Following a digital community health worker through a full day of household visits reveals how smartphone-based screening tools are transforming primary care workflows in resource-limited settings.
Field narratives from community health workers in Uganda reveal how contactless monitoring technology is reshaping primary care delivery in resource-limited settings.
Analysis of lessons learned from a 10,000-scan contactless health screening field program, with data on workflow patterns, operational challenges, and research implications for public health institutions.
