Overview
Digbi Health is a precision-health company on a mission to treat the root causes of chronic illness — obesity, diabetes, cardio-metabolic and digestive conditions — rather than their symptoms. Their model combines genetic testing, gut microbiome analysis, continuous glucose monitoring, and lifestyle coaching into personalized care programs prescribed through employers and health plans.
AwaitSol partnered with Digbi to engineer the digital backbone of that vision: the patient-facing web experience where members follow their care programs, and the clinical dashboards where care teams monitor outcomes across thousands of patients.
The Challenge
Precision health lives or dies on data integration. A single member's profile spans genetic markers, microbiome sequencing results, CGM readings arriving continuously from wearables, food logs, and clinical history — each with its own format, cadence, and reliability. Turning that into one coherent health picture, updated in near real time, was the core engineering problem.
The second problem was audience. The same underlying data had to serve two very different users: patients who need simple, motivating guidance they can act on today, and clinicians who need longitudinal trends, cohort comparisons, and the ability to intervene when a patient goes off track. A platform that satisfied one and frustrated the other would fail commercially.
Our Approach
We began with a discovery phase alongside Digbi's clinical and data science teams, mapping every signal source and defining a unified member health profile — the single schema that every feature would read from. Data pipelines normalize each input (lab results, microbiome reports, CGM streams, self-reported logs) into that profile with full provenance, so a clinician can always trace an insight back to its source.
Delivery ran in weekly increments. The patient experience shipped first — onboarding, program views, and progress tracking — so real members were using the platform while the clinical dashboards were still being built. That sequencing produced a constant stream of behavioral feedback that shaped what the care teams' tools needed to surface.
Because the platform handles sensitive health data, privacy and access control were designed in from the first sprint: role-based access for care teams, encrypted data at rest and in transit, and audit trails on clinical actions.
What We Built
The result is one coherent platform with two faces. Members get a personalized program view — daily guidance, progress milestones, and insights that connect their genetics and microbiome results to concrete food and lifestyle recommendations. Care teams get population dashboards that surface at-risk members, track outcome trends across cohorts, and turn raw device data into clinically meaningful signals.
- Patient web experience with personalized care programs
- Clinical dashboards for outcome tracking and cohort analysis
- Data pipelines unifying genetic, microbiome, CGM, and lifestyle signals
- Wearable-device integrations for continuous data capture
- Role-based access control and audit trails for clinical operations
Key Results
The platform became the operational core of Digbi's care delivery — every member interaction and every clinical decision now runs through it. Engagement rose because guidance finally felt personal rather than generic, and care teams could intervene earlier because the data reached them as signals instead of spreadsheets.
Technology
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