MISSION
EMERGE conducts translational health-systems research and builds deployable clinical technology for under-characterized care environments, converting evidence on outcomes, infrastructure, and prior implementation into systems that reach the point of care.
By investing in EMERGING leaders and fostering innovation, we aim to inspire the next generation of global health change-makers.
Innovation built for equity.
Translational health-systems research and deployable clinical technology for global resource deserts.
The EMERGE Framework
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We conduct primary research on health systems, clinical outcomes, and informatics infrastructure in regions and populations that remain underrepresented in the literature. Our work characterizes documented gaps in care and outcomes, assesses the current state of medical record-keeping and technology access, and evaluates prior implementation efforts to establish which interventions have succeeded, which have failed, and why. The objective is to build a rigorous evidence base for settings where one does not yet exist.
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We design and build clinical systems, electronic medical records, telehealth platforms, clinical decision support, and applied AI including domain-specific models and agents, engineered to the infrastructural and data constraints of their target environment rather than to an idealized one. Each system is specified from the findings of the preceding research, so that what we deploy is operable within the connectivity, workflow, and record-keeping realities of the setting.
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We treat deployment as the measure of the work. We translate validated tools and findings into operational use by fitting them to existing infrastructure, identifying and equipping local partners, and constructing the pathways that carry a system from validation to frontline adoption. Each effort is informed by a structured assessment of prior implementation outcomes in comparable settings.
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We work through sustained partnership with in-region institutions, clinicians, and health authorities. Co-development ensures that research questions, system design, and deployment are locally governed and locally relevant, and that capacity persists beyond the project term.
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We apply quantitative methods to convert research findings into deployable models and to determine where deployment and partnership will yield measurable benefit. This function defines our position on research production: work is undertaken to resolve an identified gap and reach implementation, not to accumulate as publication volume.
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Our work follows a defined sequence from characterization to deployment:
Characterize regional health outcomes and gaps in care.
Assess existing record-keeping systems and technology access.
Evaluate prior implementation efforts and their determinants of success or failure.
Develop deployable models using quantitative and statistical methods.
Establish the partnerships and operational pathways required for implementation.