Managed & outcome-based
We own the workflow and are accountable to outcomes and SLAs — not headcount.
Digital Health · Integrative Medicine · Data Science · AI
The Continuous State of Care.
Healthcare never stops. Neither should your operations.
Traditional systems plan or react. During Health operates in the continuous present — unifying senior healthcare expertise with agentic AI to orchestrate, govern, and elevate your entire health operation, in real time.
Model-agnostic
The best AI for each task, on the platforms you already trust.
Human-in-the-loop
Governed by design. Senior reviewers approve consequential actions.
Outcome-based
Accountable to SLAs, not hours.
We build on the platforms our clients already trust
DuringHealth
Senior expertise and agentic AI, governed, on the stack you already run.
AI models
- Claude
- Gemini
Cloud
- AWS
- Google Cloud
- Microsoft Azure
Analytics
- Power BI
- Tableau
Health data standards
- FHIR / HL7
What we do
The operational work health systems can’t afford to get wrong.
Each capability is built around a specific failure mode — denials, compliance gaps, ungoverned AI, fragmented data — and ties to a measurable outcome below.
Agentic AI & Intelligent Automation
Design, build and operate AI agents and multi-agent workflows on leading models — with human review where it matters.
- Copilots & document intelligence
- Multi-agent operational workflows
- Generative drafting with human sign-off
Health Data & Intelligence
Modern data engineering and multimodal platforms that turn fragmented health data into decisions.
- Cloud data platforms (AWS · GCP · Azure)
- Analytics & predictive intelligence
- BI & visualization (Power BI · Tableau)
Intelligent Health Operations
Outcome-based, increasingly autonomous revenue and information workflows — RCM and HIM, reimagined.
- Coding, denials, AR & CDI
- Outcome-based delivery, not hours
- AI + expert reviewers
Audit, Compliance & Risk
Independent audit and standing compliance programs across coding, documentation, revenue integrity and AI governance — findings you can act on.
- Coding & documentation audit
- Revenue integrity & leakage review
- Compliance programs & AI governance
Digital Health & Interoperability
Standards-first digital health enablement, from national programs to hospital systems.
- HIMS / HIS implementation
- FHIR / HL7 interoperability
- Device & hardware integration
Integrative & Whole-Person Health
Holistic, preventive and precision approaches to whole-person health, wellness and longevity — grounded in evidence.
- Holistic health & wellness programs
- Personalization from real-world data
- Evidence-led, integrative design
Capacity Building & Workforce Intelligence
Reskilling teams for AI-human collaboration — the engine behind durable, outcome-based operations.
- AI-human collaborative workflows
- Role-based upskilling
- Center build-out & enablement
Healthcare Education & Simulation
EdTech, high-fidelity simulation and hands-on labs that build a job-ready health workforce — including mandatory CNE/CME.
- High-fidelity simulation labs
- Digital health labs & data practice
- CNE / CME events & workshops
Healthcare Enablement
Whatever a health organization needs to run, build or grow — implementation, managed operations and end-to-end programs, delivered as outcomes.
- Systems implementation & maintenance
- Managed operations & programs
- Bespoke, outcome-based engagements
Watch 70 seconds
Denials, backlogs, unapproved AI: how we run healthcare operations
Read the film as text
- Healthcare never stops.Neither should your operations.
- Sound familiar? Where does your operation hurt most?Denials that keep coming back. Coding and documentation backlogs. Five systems, no agreed numbers. AI in use that nobody signed off.
- A different way to run it.Senior healthcare expertise and governed AI agents, together. Experts own the judgement. Agents carry the load.
- How the work flows.Work comes in. Agents do the first pass. A named person approves. Every step is logged. Nothing consequential ships without review.
- Audit and analytics: see everything, prove everything.Audit checks coding and documentation, charges and revenue integrity, policies and controls, and AI and data systems. Analytics tracks measures such as denial rate, days in A/R and cost to collect (illustrative chart). Agree the measure first. Start with one use case. Report plainly.
- During Health.Senior expertise. Governed AI. Outcomes you can measure. Talk to us, or take the free readiness scorecard, at duringhealth.com.
From task-based support to outcome-based operations
We are measured by outcomes, not hours.
The market has moved from delegating isolated tasks to running entire outcome-based workflows. During Health is built for that shift — autonomous execution, governed and accountable.
- 72%
- of healthcare leaders say some AI tools run without formal IT approval
- ~10M
- projected global health-worker shortage by 2030
- ~10%
- of health systems have a formal AI oversight board
- 100%
- workflows with human-in-the-loop governance
The bigger picture
As intelligence scales, human presence becomes the advantage.
The future of healthcare isn’t less human — it’s more. When AI absorbs the volume, value shifts to what only people can do: the judgement, presence and trust of providers at every level — physicians, nurses, allied health and care teams. During Health is built to expand that presence — agentic systems carry the operational load so your people are free for the moments that matter.
AI scales the work
Agentic systems absorb the repetitive operational load — coding, claims, data, documentation.
People scale the care
Providers at every level — physicians, nurses, allied health — give their time to judgement, presence and the patient.
Amplified, never replaced
Human-in-the-loop by design — technology gives time back to your people.
Trust is a buying criterion
Responsible AI, governed by design.
Agentic systems only earn their place when they are safe, explainable and accountable. Governance is a first-class part of every engagement — not fine print.
Security & compliance
PHI-aware delivery aligned to HIPAA and the regulatory standards of every market we serve.
Human-in-the-loop
Senior reviewers approve consequential actions before they ship.
Explainable & auditable
Decisions are traceable, measurable and reviewable end-to-end.
How we work together
Engagement models for every stage.
Advisory & enablement
Strategy, architecture and AI-readiness for teams scaling responsibly.
Build-Operate-Transfer
Stand up a capability or managed center, run it, then hand over the keys.
Learn
Free tools and analysis for health operations teams.
Practical, current and written to be shared with your team.
Use it today
Free tool
NCCI Edit Helper: Modifier and MUE Checker
Medicare denied a service, or said you billed too many units? Answer a few plain questions to see whether a modifier can fix it and what to do next. No expert knowledge needed.
Open the toolFree tool
HIM Technology Readiness Scorecard
Score your HIM department across People, Process, Data, Technology and Governance and see whether to proceed, pilot first or wait — before you sign the next technology contract.
Open the tool
Free download
CY2027 Medicare Fee Schedule Readiness Checklist
A one-page checklist of what RCM and compliance teams should model before January 1, based on proposed rule CMS-1848-P.
Get it free
Free download
Is Your HIM Department Ready? A Technology Readiness Self-Assessment
A free 15-page, print-ready workbook to score your HIM department’s readiness for any new technology in about 15 minutes.
Get it freeRead this week
Coding & Compliance
NCCI Edits Explained: PTP Edits, MUEs, Modifiers and Add-On Code Edits
The National Correct Coding Initiative decides, line by line, which Medicare codes can be paid together, how many units are too many, and when a modifier is allowed to get past an edit. Here is how the three kinds of edit work, how to read a modifier indicator, which modifier to use, and what to do with a denial.
Read the analysisDigital Health & Interoperability
CMS-0057-F: What the Prior Authorization Rule Means for Providers Before January 2027
The rule puts its obligations on payers — faster decisions, specific denial reasons, public metrics and FHIR-based APIs. But the benefits reach only the providers who are ready to use them. Here is what is already in force, what arrives on January 1, 2027, and what to do now.
Read the analysisRegulatory & Reimbursement
CY2027 Medicare Physician Fee Schedule: What RCM Teams Need to Model Before January 1
CMS’s proposed CY2027 rule cuts the conversion factor, rewrites same-day E/M billing, and locks remote monitoring to in-house staff — all ahead of a final rule due in November. Here’s what to model now, and what to hold off on until the ink is dry.
Read the analysisLet’s build your next health outcome.
Tell us what you’re trying to achieve. We’ll show you how senior expertise and agentic AI get you there — safely.