Software for how healthcare actually runs
Care management, EHR interoperability, medical billing, population health, long-term care, and remote monitoring don't run as separate systems inside a real healthcare organization — they run as one connected operation. This page is the full map of the domain depth behind everything we build.
Everything we build, across the care lifecycle
A working taxonomy, not a keyword list — every term below maps to a real workflow, billing program, or regulatory context inside our platforms.
Care management & virtual care
Population & value-based care
Patient engagement & practice operations
Data, devices & interoperability
One platform for every care management program
RPM, CCM, BHI, RTM, TCM, and PCM/APCM are usually sold as separate point solutions, each with its own device feed, time log, and billing workflow. We build them as one connected set of care-management workflows on a shared patient record.
- RPM — device and vitals streaming, threshold-based alerting, and staff time tracking aligned to the CPT 99453, 99454, 99457, and 99458 billing structure.
- CCM — care plan management and monthly time tracking for patients managing two or more chronic conditions.
- BHI — behavioral health screening and care coordination built into the primary care workflow, not a separate portal.
- RTM — therapy and device adherence monitoring for musculoskeletal and respiratory programs.
- TCM — post-discharge outreach, medication reconciliation, and follow-up scheduling within required transitional windows.
- PCM / APCM — single high-risk condition and advanced primary care workflows for practices moving toward value-based reimbursement.
- Telehealth — scheduling, visit, and documentation workflows on the same care record as every other program.
This is the workflow set our care management product, CareOrbit, is built to run — one patient record, one alerting engine, and one billing-time tracker across every program a care team manages.
Interoperability that goes past a conformance checkbox
We build HL7 v2/v3 and FHIR R4-native integrations against Epic, Cerner, and Athenahealth-class EHR ecosystems — as example integration targets, not as a formal partnership with any vendor — so a platform connects to the systems your organization already runs instead of asking you to replace them.
- HL7 v2/v3 and FHIR R4 integration patterns, including SMART on FHIR app models.
- Canonical clinical data models that normalize records across EHR, lab, and device sources.
- Clinical documentation workflows with AI-assisted drafting and summarization that a clinician reviews and signs — assistive, never autonomous.
- E-prescribing workflow context, including medication history and formulary-aware order support.
- Bidirectional sync patterns so integrated data stays current in both systems, not just imported once.
Canonical Clinical Data Model
One structure for care management, billing, AI, and reporting to read from
AI-assisted coding — a human always signs off
Revenue cycle workflows built on the same clinical data captured through care management and documentation, not a bolt-on billing tool.
Coding Support
AI-assisted coding suggestions across ICD-10-CM, CPT, HCPCS, and DRG, routed to certified coders as a review queue — never submitted without human sign-off.
Claim Scrubbing
Rules-based and AI-assisted scrubbing against payer-specific requirements before submission, catching preventable errors early.
Denial Management
Denial tracking, root-cause categorization, and workflow routing that gets corrected claims back into the queue, not a spreadsheet.
Payer Connectivity
Connectivity across Medicare, Medicaid, and commercial payer workflows, on the same platform as clinical documentation and coding.
Manage a population, not just a panel
Value-based contracts live or die on data most organizations can't fully see across at once. We build the layer that stratifies risk, closes gaps, and keeps quality reporting grounded in real clinical activity.
- Risk stratification across a population using clinical, claims, and social data together.
- Care gap identification tied to real outreach workflows, not a report nobody opens.
- HCC / RAF risk-adjustment support for accurate, well-documented risk capture.
- SDOH data integration so social factors inform care planning alongside clinical data.
- Quality measure tracking aligned to HEDIS-style measure logic and CMS Quality Measures, built for ACO and MSSP reporting contexts.
Built for SNF, ALF, and post-acute workflows
Skilled nursing and assisted living operate on a different rhythm than ambulatory care — regulatory assessments, medication pass schedules, and survey readiness drive daily operations. We build software around that rhythm rather than adapting an acute-care system to fit it.
MDS Assessments
Structured assessment workflows aligned to Minimum Data Set requirements.
PDPM-Aware Workflows
Care and documentation workflows that stay aware of PDPM classification impact.
eMAR
Electronic medication administration records built for facility-based medication pass schedules.
Survey Readiness
Compliance and audit-trail reporting built for survey and inspection readiness.
Every device a data source, not a data silo
Wearables, home monitoring kits, and clinical-grade medical devices each speak a slightly different protocol and format. We normalize that patient-generated health data into the same data fabric that powers care management and AI, with real-time alerting when a reading crosses a clinical threshold.
- Wearable and medical device data ingestion across vitals, activity, and adherence signals.
- Real-time, threshold-based alerting routed to the right care team member.
- Patient-generated health data normalized into canonical clinical models, not left as raw device exhaust.
This device data feeds the same healthcare data fabric behind our AI systems — see how in AI & AgentOS.
Healthcare Data Fabric
Normalized device data, ready for care management, billing & AI
Questions healthcare buyers actually ask
Do you integrate with our existing EHR?
How do you handle PHI and compliance?
Can this replace our current care management vendor?
Does your AI make clinical decisions?
Let's build the healthcare
platform your team needs.
Tell us which workflows matter most — care management, billing, population health, or all three.