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    Clinician reviewing chronic disease program data on a dashboard
    Disease Management Software

    Disease Management Software for Chronic Disease Programs

    We build disease management platforms that run protocol-driven chronic care programs — diabetes, CHF, COPD, and hypertension — with RPM device data, evidence-based pathways, and outcome tracking payers can trust.

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    Lera
    One Minute
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    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
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    Lera
    One Minute
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    Healthevolve

    What disease management software involves

    Disease management software operationalizes evidence-based programs for chronic conditions — turning clinical guidelines for diabetes, congestive heart failure, COPD, or hypertension into protocol-driven pathways with defined interventions, thresholds, and escalation rules. The engineering challenge is encoding those protocols as FHIR PlanDefinition and CarePlan structures, then feeding them real-world data from RPM devices and the EHR so the program responds to what the patient is actually doing.

    Generic care tools treat every patient the same. A real disease management platform stratifies by condition and risk, applies the right protocol, ingests glucose or blood-pressure readings, and escalates when a value crosses a threshold. We build that closed loop — protocol, monitoring, intervention, outcome — so programs demonstrably improve control and reduce avoidable utilization.

    What it is

    Turn guidelines into running programs

    Disease management software takes the clinical guidelines for a chronic condition and runs them as a live program — enrolling patients, monitoring the right signals, and intervening at the right moment.

    The payoff is control: better HbA1c, on-target blood pressure, fewer avoidable admissions. We build the closed loop of protocol, monitoring, and intervention that makes those outcomes repeatable.

    Architecture

    A protocol-driven engine wired to RPM device data and the EHR — so chronic disease programs act on real signals, not stale charts.

    Disease management architecture linking protocols, device data, and outcomes

    What We Build Into Disease Management Platforms

    Each capability pairs a chronic-care workflow with the standard or data source that makes it evidence-based.

    15-Minute Scoping Call

    Protocol-Driven Pathways (FHIR PlanDefinition)

    Evidence-based guidelines for diabetes, CHF, COPD, and hypertension encoded as FHIR PlanDefinition and CarePlan, so every enrolled patient follows the right pathway.

    RPM & Device Data Integration

    Ingest glucose, blood pressure, weight, and SpO2 readings from connected devices via HealthKit, Health Connect, and vendor APIs, mapped to FHIR Observation.

    Risk Stratification by Condition

    ICD-10 problem lists, lab values, and utilization signals stratify each cohort so high-risk patients get proactive outreach before they decompensate.

    Threshold Alerts & Escalation

    Configurable clinical thresholds trigger escalation to the care team when a reading or trend crosses program-defined limits, with a full audit trail.

    Patient Education & Engagement

    Condition-specific education, self-management prompts, and secure messaging tied to the patient's active protocol and goals.

    Outcome & Quality Reporting

    Track HbA1c control, blood-pressure targets, and readmission rates against program goals, with reporting aligned to value-based and payer requirements.

    Where it fits

    Chronic disease programs we support

    Diabetes management

    Glucose monitoring, HbA1c tracking, and insulin-titration support.

    Congestive heart failure

    Daily weight and symptom tracking with decompensation alerts.

    COPD management

    SpO2 and symptom monitoring with exacerbation escalation.

    Hypertension programs

    Home BP monitoring toward guideline targets.

    Payer disease management

    Health-plan programs proving control across member cohorts.

    Multi-condition programs

    Comorbid patients enrolled in layered condition pathways.

    Programs built to demonstrate control

    Disease management only pays off when outcomes are measurable. We instrument protocols, device data, and results from day one.

    FHIR
    Protocols encoded as PlanDefinition and CarePlan
    Real-time
    RPM readings mapped to FHIR Observation
    3–5 mo
    Typical build to first live condition program

    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.

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    HITRUST

    Health Information Trust Alliance

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

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    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.

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    SaMD

    FDA Software as a Medical Device

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

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    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 and compliance

    Standards behind our disease management builds

    FHIRHL7ICD-10LOINCHIPAA
    Our Process

    How We Deliver a Disease Management Build

    We treat protocol encoding, device integration, and outcome reporting as parallel tracks from discovery.

    1.

    Discovery & Protocol Design

    We map your target conditions and clinical guidelines, then encode them as FHIR PlanDefinition pathways with thresholds and escalation rules.

    Evidence-based
    2.

    Core Build & Monitoring

    We build the pathway engine, device-data ingestion, and threshold-alert logic that drives proactive intervention.

    Closed-loop care
    3.

    Integration

    We wire RPM device APIs, FHIR Observation mapping, and EHR write-back so program data lives alongside the clinical record.

    Real-world data
    4.

    Rollout & Outcomes

    Phased go-live with outcome dashboards, quality reporting, and protocol tuning as cohort data accumulates.

    Measured impact

    Featured case study

    Read Case Study

    Lera Health: compliant women's health platform

    Related proof of compliant delivery: for Lera Health we turned biomarker data into personalized, protocol-driven care plans on a HIPAA-ready data layer. It is not a chronic-disease product, but it shows how we operationalize data-driven, longitudinal care.

    Lera Health app across desktop and mobile
    Why Partner With Us

    Why teams choose Agnotic for disease management

    Chronic disease programs need protocol rigor and real device data. We build both into a platform that proves its outcomes.

    15-Minute Scoping Call

    Protocol Rigor

    Clinical guidelines encoded as versioned FHIR PlanDefinition pathways, so programs stay evidence-based and auditable as they evolve.

    Device-Data Fluency

    We integrate glucose, BP, and weight data through HealthKit, Health Connect, and vendor APIs, mapped cleanly to FHIR Observation.

    Outcome Accountability

    We build the reporting that proves control improvements and reduced utilization to payers and value-based partners.

    Data-Driven Care Depth

    Our longitudinal, biomarker-driven work means your team is not teaching us how personalized chronic care works.

    Our relevant experience

    Chronic disease programs that act on real signals.

    Frequently Asked Questions

    Cost depends on how many conditions you run and how much device data you ingest. A first condition program with encoded protocols, RPM integration, and outcome reporting is typically a three-to-five-month build; multi-condition, payer-grade platforms scale from there. We scope against your target conditions before quoting.

    Ready to run chronic disease programs that prove control?

    Tell us which conditions you manage and where your data lives. We'll return a phased plan with protocol encoding, device integration, and outcome reporting.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com