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    Analysts reviewing population health risk and care-gap dashboards
    Population Health

    Population Health Management

    We build platforms that turn scattered clinical and claims data into a ranked view of who needs care next — risk stratification, care-gap detection, and value-based-care analytics on a governed FHIR R4 foundation.

    HIPAA-ReadyFHIR R4HEDIS-AlignedAudit Logged

    Trusted by global innovators

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    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve

    What population health software has to solve

    Population health management is a targeting problem: with limited care-management capacity, which patients get outreach first? Answering that means unifying claims, EHR, ADT, lab, and SDOH data, then stratifying the population by risk so the highest-need, most-actionable patients rise to the top. Spreadsheets and disconnected registries can't keep that view current or defensible.

    We build population health platforms on a FHIR R4 data foundation where risk stratification and VBC analytics run on governed, traceable data. Care gaps are detected against measure specifications, rising-risk patients are surfaced before they become high-cost, and every list a care manager works can be traced back to the data that produced it.

    What it is

    Knowing who needs care before they need the ER

    Population health management software unifies data across a population and ranks patients by risk and actionability so limited care-management capacity goes where it moves outcomes and cost the most.

    It succeeds when the lists it produces are trusted and acted on. We build platforms on governed, traceable data so risk stratification and VBC analytics survive clinical and financial scrutiny.

    From raw feeds to a ranked care list

    Risk stratification, care-gap detection, and VBC analytics on one governed data layer — so outreach goes where it matters.

    Population health architecture aggregating claims and clinical data

    What we build into your population health platform

    Each capability pairs a population-health outcome with the data standard or model behind it.

    15-Minute Scoping Call

    Risk stratification & rising-risk models

    Predictive and rules-based risk stratification across the population — HCC and clinical risk scores plus rising-risk identification — so care management targets patients before they escalate to high-cost events.

    Care-gap detection

    Open-measure detection against HEDIS and eCQM specifications, surfacing overdue screenings, uncontrolled conditions, and missed follow-ups with prioritized worklists for outreach teams.

    VBC analytics & cost insights

    Value-based-care analytics on total cost of care, utilization, and quality performance, tied back to the risk-adjusted population so trends are meaningful rather than raw counts.

    FHIR R4 data aggregation

    A governed data layer unifying EHR data via FHIR R4, HL7 v2 feeds, claims, ADT event streams, and lab results, with patient matching and lineage so every metric is traceable.

    SDOH & equity insights

    Social-determinants data integrated into stratification so risk models reflect access, housing, and food-security factors, with equity-stratified reporting for accountable programs.

    Registries & outreach workflows

    Condition and program registries — diabetes, CHF, hypertension — with campaign and outreach tooling so identified patients move into action, not just a dashboard.

    Where it runs

    Population health use cases

    ACOs & CINs

    Population stratification and gap closure across networks.

    Health plans

    Member risk targeting and Star-measure improvement.

    Provider groups

    Panel-level risk and care-gap management for clinics.

    FQHCs & community health

    SDOH-aware outreach for underserved populations.

    Chronic disease programs

    Diabetes, CHF, and hypertension registries and outreach.

    Public health

    Population surveillance and program targeting.

    Where population health software delivers

    Impact comes from targeting the right patients with limited capacity. We build for actionable, traceable stratification — targets are defined against your programs in discovery.

    FHIR R4
    Governed multi-source data foundation
    HCC
    Risk-adjusted stratification
    HEDIS
    Care gaps detected to measure spec

    Compliance-First Healthcare App Development Services Backed by Global Standards

    15-Minute Scoping Call
    01HIPAA logo

    HIPAA

    Health Insurance Portability and Accountability Act

    Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.

    02GDPR logo

    GDPR

    General Data Protection Regulation

    Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.

    03FHIR logo

    FHIR

    Fast Healthcare Interoperability Resources

    Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.

    04HL7 logo

    HL7

    Health Level Seven International

    Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.

    05HITRUST logo

    HITRUST

    Health Information Trust Alliance

    Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.

    06HITECH logo

    HITECH

    Health Information Technology for Economic and Clinical Health Act

    Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.

    07SaMD logo

    SaMD

    FDA Software as a Medical Device

    Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.

    08MDR (EU) logo

    MDR (EU)

    Medical Device Regulation (European Union)

    Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.

    09SAMHSA logo

    SAMHSA

    Substance Abuse and Mental Health Services Administration

    Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.

    Standards we build against

    Population health standards

    FHIRHL7HEDISeCQMHCCHIPAA
    Our Process

    How we deliver a population health build

    Data aggregation, stratification models, and outreach workflows run in parallel toward an actionable platform.

    1.

    Population & data discovery

    We map your populations, programs, and data sources, then design the patient-matching and risk-stratification approach before building.

    Population-aware
    2.

    Data foundation

    We build the FHIR R4 data layer aggregating EHR, claims, ADT, and lab feeds, with patient matching and lineage the analytics depend on.

    Governed data
    3.

    Stratification & gaps

    Risk models, care-gap detection, and registries, validated against clinical review so the rankings are trusted by the teams that act on them.

    Actionable lists
    4.

    Outreach & go-live

    Worklists, outreach tooling, and dashboards, with ongoing tuning as measure specs and programs change.

    Always audit-ready

    Featured case study

    Read Case Study

    Lera Health: compliant women's health platform

    Related proof of compliant delivery: Lera Health isn't a population-health platform, but building its data-driven, personalized care workflow shows how we turn multi-source health data into trustworthy, traceable insight — the same foundation stratification depends on.

    Lera Health app across desktop and mobile
    Why Partner With Us

    Why care organizations pick Agnotic

    We bring data-engineering depth, measure fluency, and compliance-first design so your risk lists are trusted and your analytics are defensible.

    15-Minute Scoping Call

    Governed & Traceable

    Every risk score and care gap traces back to source data with lineage — care teams trust lists they can inspect.

    Data & Measure Fluency

    FHIR aggregation, patient matching, HEDIS, and HCC logic are our baseline, not a research project billed to you.

    From Dashboard to Action

    We build the outreach and worklist layer so identified patients actually get contacted, not just counted.

    Equity-Aware Design

    SDOH integrated into stratification so programs target need, not just billing signals.

    Our relevant experience

    Analytics that move patients into care

    Frequently Asked Questions

    Cost is driven by data-source count, patient-matching complexity, and the depth of risk and measure logic; a real build typically starts in the mid six figures. We scope against your populations, programs, and available feeds in discovery and share a range.

    Ready to target care where it counts?

    Tell us your populations and data sources. We'll return a population-health plan with data-foundation scope, stratification approach, and a realistic timeline.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com