Health-Connect is an intelligence layer for data quality, PIQI scorecards, quality programs, compliance readiness, documentation-sensitive workflows, revenue-cycle follow-up, and provider-facing decision support. It helps teams move from normalized data to prioritized action.
Built for providers, health systems, and interoperability partners that need actionable outputs inside existing environments, including Kahn-scored HL7 ingest quality, PIQI normalization lift, and an AI Claims Agent for low-dollar payer follow-up. evrConnect extends targeted mobile assessment workflows as the companion iOS app.
Start with a short, narrated product video, then use the workflow map below to shape a live session around your team. Every public recording uses synthetic demo data and shows concrete product behavior rather than abstract AI claims.
1:58
Generate nursing handoffs, hospitalist sign-outs, surgical briefs, ED reports, and rehab summaries from a connected patient timeline.
Watch the chart-review demo →
1:36
Dry-run rules, measure PIQI lift, quarantine uncertain records, and turn expert-reviewed mappings into reusable FHIR ConceptMaps.
Watch the normalization demo →
1:15
Follow conformance, quarantine load, facility comparisons, and raw-versus-normalized quality lift from one measurement layer.
Watch the PIQI demo →
3:13
Control a phone-agent fleet, batch low-dollar claims, inspect call transcripts and structured outcomes, and route ambiguous results back to a human.
Watch the Claims Agent demo →Each watch page includes captions, a searchable transcript, workflow chapters, and a capability-specific path into the live demo request.
Explore all video demos →Review HL7 ingest quality across conformance, completeness, plausibility, timeliness, and uniqueness, then map those Kahn dimensions into PIQI accuracy, conformity, and availability scorecards.
Show raw-vs-normalized PIQI lift, facility scorecards, and quarantine-not-reject queues where clinical SMEs can release, discard, or map local-code issues.
Import or enter low-dollar payer claims, enqueue selected batches, monitor call runs, and preserve transcripts, outcomes, retries, and needs-human escalations for billing team review.
See documentation-sensitive review surface as an actionable alert, with workflow guardrails that prevent duplicate single-patient work from spawning when a case is already in progress.
Move from a quality measure signal to a mapped accreditation standard, then back into the filtered quality-gap view behind that overlap without losing operational context.
Review readiness exposure, ACCESS-adjacent operational visibility, and the snapshot-first triage layer that helps teams move from signal review to next action.
Health-Connect supports a provider-authorized athenahealth SMART on FHIR connection for teams that want workflow intelligence delivered alongside the clinical systems they already use.
Provider teams can also use AI chat-based integration onboarding to map the right workflow lane and connection path before rollout.
Once data is connected and normalized, Health-Connect helps teams decide what to do next with clearer priorities, standards-based outputs, and workflows aligned to quality, compliance, and documentation needs.
Score patient information quality by use case, facility, and dimension, with drill-down into quarantine-eligible records.
Track HL7 feed quality across conformance, completeness, plausibility, timeliness, and uniqueness before data reaches downstream workflows.
Queue low-dollar claims for AI voice follow-up, keep operators in control of the fleet, and route ambiguous outcomes to a human worklist.
Identify and prioritize actionable gaps across major quality and reporting workflows.
Support documentation-sensitive workflows with patient-level recommendations and higher-value review targets.
Surface readiness findings, prioritized remediation work, and operational support for accreditation and regulatory programs.
Deliver provider-friendly insight objects that fit connected ecosystems instead of trapping recommendations in a proprietary viewer.
Give interface teams feed-level quality windows, per-patient rollups, normalization dry-runs, and SME review queues for local-code and quarantine work.
Give billing teams a controlled claims-agent queue for small-balance payer follow-up, with run history and structured outcomes instead of manual one-off phone work.
Give care coordinators and care managers prioritized worklists instead of forcing chart-by-chart review after the report is already generated.
Support specialized documentation and revenue integrity staff with clearer case prioritization and review-ready recommendations.
Help quality leaders and compliance teams move faster on measure tracking, reporting readiness, and remediation workflows.
Companion mobile support for targeted assessment workflows, field-ready capture, and select clinical interaction patterns.
Below are separate products from evermed research. evrConnect is the companion iOS app for Health-Connect; the other products are independent offerings.
Workflow intelligence platform for data quality, PIQI scorecards, quality programs, documentation-sensitive review, claims follow-up, compliance readiness, and standards-based clinical insight delivery, with evrConnect as its companion iOS experience.
Start a provider conversationPatient Information Quality Improvement scorecards for HEDIS/quality submission readiness and USCDI/TEFCA exchange, backed by shared SAM checks and Kahn-to-PIQI ingest rollups.
AI voice workflow for low-dollar payer claims, with Rails-based claim intake, batch enqueueing, fleet pause/resume controls, call run history, structured outcomes, and a needs-human review queue.
A typed agent runtime where the generate, evaluate, mutate, repeat loop becomes the agent itself for structured optimization inside the context window.
View on GitHubMedical research pipeline for article discovery, extraction, optimization loops, and fine-tuning dataset export across multiple conditions.
View on GitHubCompanion iOS application for AR-enabled range of motion, wound and vascular visualization, and wearable vitals capture.
For teams that need more than software, evermed supports implementation planning, governed rollout, and healthcare-specific interface work.
Domain-tuned systems for clinical, revenue-cycle, operational, and workflow-specific use cases.
Evaluation, model selection, governance, and staged implementation planning.
Practical interface work for clinical systems, data-quality scoring, normalization, and PHI-aware architecture.
Use the short form below to route the conversation around data quality, PIQI scorecards, claims follow-up, DRG review, quality triage, accreditation readiness, program visibility, or interoperability fit. The page stays static for now, so submissions open a structured email draft with your details prefilled.
Share a few details so the first conversation can focus on the right workflow, target users, and deployment context instead of starting from scratch.
Working on data-quality lift, small-balance payer claims, or athenahealth connectivity? Ask for the PIQI, Claims Agent, or SMART on FHIR walkthrough and we will route the conversation accordingly.
Use this path if you already know the walkthrough should focus on data quality, claims follow-up, quality workflows, compliance readiness, or documentation-sensitive review.
evermed@evermedresearch.orgReach out if the discussion is about data connectivity, workflow delivery inside an existing environment, or ecosystem-level fit rather than a straight provider pilot.
medright@evermedresearch.org