Who we serve
From academic medical centers to community networks, Health Universe meets each kind of care organization where it is.
Oncology
SEG · 01
Community oncology and specialty networks delivering advanced care across many distributed sites — often the destination for patients referred in from a dozen prior providers, carrying histories that arrive in pieces, if at all.
The Challenge
Patients arrive from everywhere; their histories don’t. Teams rebuild the oncology baseline by hand before each visit, and the work spills past clinic hours — leaving the chart still incomplete when the patient is in the room, and pulling clinicians into after-hours record-chasing that drives burnout and turnover.
Records scattered across providers
Care delays
Oncologist burnout and turnover
Hours rebuilding patient history
Prior-auth treatment delays
Only on Health Universe
Less time rebuilding charts, more time on care — a team that walks in ready.
No more chart chasing and manual assembly.
Each new patient’s history is retrieved from every prior site through the national network and deduplicated into one current, cited record — so no one rebuilds it by hand.
It lives where your team already works.
The assembled chart launches via SMART on FHIR inside your existing EHR — no new tab, no new login, and no integration project to stand up.
Agents go beyond summarization.
The same platform takes on scheduling, prior-auth, and Q/A, generating value in the first engagement rather than after a multi-year rollout.
Benchmark
F1 accuracy extracting structured oncology data
Benchmark
Faster extraction — 7.5s vs 15–30 min per document
Bring a real case — see the chart prepped before the appointment.
Less time on summarization & prep

“Health Universe helps us make oncology care more efficient by giving clinicians clearer summaries and better operational context.”

Dr. Jeff Vacirca, MD, FACP
CEO · NY Cancer & Blood Specialists
01 / 02
Diagnostics
SEG · 02
Reference labs and pathology groups operating at high volume and thin margins, where revenue rides on proving medical necessity for tests ordered somewhere else.
The Challenge
Specimens arrive with a code and no clinical story, so claims are denied for missing medical necessity and written off rather than appealed. The frustrating part: the diagnosis that would justify the test usually already exists — it just lives in records the lab never sees, held by the ordering provider at another site of care.
Specimens arrive with no clinical story
Medical-necessity evidence missing
Avoidable denials written off
Context sits with the ordering provider
10–15% of revenue lost monthly
Only on Health Universe
The clinical story behind every specimen — and the revenue it proves, protected.
Reaches the diagnosis the claim is missing.
Clinical context is pulled from across the patient’s care network — the evidence outside the lab’s own systems that a billing tool structurally can’t touch.
Pinpoints what each claim needs, then drafts the appeal.
The exact missing diagnosis is isolated claim by claim and a defensible appeal is drafted, with billing and coding signing off before anything is submitted.
Moves the fix upstream.
Evidence retrieval shifts to the point of order, so the claim is documented correctly before the specimen is collected — preventing the denial, not just chasing it.
Reference lab
Supporting records found across the network
Reference lab
Recoverable across six denial patterns
Reference lab
Avoidable-denial signal — cleared the 30% contract bar
Point us at your denials and watch the appeal draft itself.
Revenue protected
“Health Universe helps us protect revenue while keeping the clinical story behind each case front and center.”
President & Chief Medical Officer
National Reference Laboratory
Post-Acute
SEG · 03
Skilled nursing, senior living, and rehab operators managing patients mid-transition, where reimbursement and audit defense both hinge on documentation that proves the level of care delivered.
The Challenge
Patients arrive mid-transition with records lagging behind them, so the documentation that proves the level of care is missing exactly when it’s needed. Admissions proceed on an incomplete picture, MDS/PDPM coding accuracy suffers, and ADR/RAC audits land on tight deadlines with the supporting evidence scattered across prior sites.
Records lag behind patients
Documentation gaps at admission
ADR/RAC audits on tight deadlines
MDS/PDPM coding accuracy
Level-of-care proof missing
Only on Health Universe
The record moves as fast as the patient does — and the proof is ready for the audit.
Catches the records that lag behind the patient.
Histories are retrieved nationwide so the documentation proving level of care is in hand at admission, not days later.
Builds an audit-ready picture per resident.
Findings are assembled and cited to source, so ADR/RAC responses start from evidence rather than a scramble across prior sites.
Goes live in about two weeks.
Connect once and start — no EHR integration or rip-and-replace required.
HU network
Patient records reachable nationwide
Via TEFCA
Of U.S. care locations covered
Network
Supporting records located per patient
Go-live
Live — no EHR integration to start
Programs
SEG · 04
Programs built around a single condition or population — navigating care that spans many settings the program itself doesn’t own or control.
The Challenge
Patients are in the program, but the specific records that complete their picture sit out of reach across institutions. Reviews get rebuilt by hand for every touchpoint, high-cost therapy authorizations stall waiting on evidence, and the history that would move a case forward is fragmented across providers the program never sees.
Records out of reach across providers
High-cost therapy auth stalls
Timelines rebuilt by hand per review
Care spans settings you don’t control
Fragmented histories across institutions
Only on Health Universe
Coordinate care — don’t chase the records that prove it.
Reaches the records that complete the picture.
Each patient’s history is located across every prior site — even care delivered in settings the program doesn’t control — and assembled into one cited record.
Gives back the hours your best clinical staff are losing to manual compilation.
Once the record is assembled, reviews that once meant hand-compiling history now happen automatically.
One record, any format the case needs.
The same complete history reformats for the context in front of you — oncology second opinion, condition-specific summary, general review — no re-prepping required.
Surfaces eligibility with reasoning you can inspect.
Trial and program matches carry their clinical logic, and the final call stays with your team.
Hand us a panel and watch the missed care gaps surface.

“Health Universe helps our oncology experts move faster without compromising the quality and judgment complex cancer care requires.”
Chief Medical Officer
AccessHope
01 / 03
Academic
SEG · 05
Academic medical centers and researchers building and validating health AI — needing secure, flexible, governed infrastructure for the deployment and monitoring of AI workflows.
The Challenge
Research stalls when building and validating AI on real clinical data means fighting IT bottlenecks, security risk, and fragmented records. Trial setup drags on for months by hand, registry and abstraction work stays manual, and proving an AI system actually performs — not just that it runs — is left to teams without the tooling to do it rigorously.
IT & security bottlenecks
Months-long trial setup
Building/validating AI on real data is hard
Fragmented research records
Manual registry & abstraction work
Only on Health Universe
Build and validate health AI on real clinical data — without the IT, security, and integration fight.
One governed environment to build, test, and validate.
Agents run on real clinical data with the IT and security work handled — and because it’s Python-native, if it runs in Python, it runs here.
Months of setup compressed into days.
Project Loom turns a synopsis into a full protocol plus regulatory submissions, and registry abstraction is automated — each with full audit trails and human sign-off.
Governance built in, not bolted on.
Every output is evaluated against defined standards, monitored over time, and traceable to source — the rigor clinical and compliance teams require to prove an AI system performs.
Drop in a cohort and see who's eligible for which open study.
Clinical-trial generation, from 6–9 months

“Health Universe brings the platform discipline needed to generate, test, and improve AI agents for clinical trials.”

Dr. Christoph Hornik, MD, MPH
Associate Director of i-Cubed · Project Loom · Duke DCRI
01 / 04
Why Health Universe
Why they’re choosing Health Universe.
01
Reach records from across the country — read, structured, and assembled where teams work, even from fax and scan.
02
Agents that earn their keep in the first engagement — not after a multi-year rollout.
03
One environment to run, build, and extend agents and applications across any workflow — if it runs in Python, it runs here.
04
Every output is evaluated against defined quality standards, monitored over time, and traceable to its source — with a qualified person in control of each result. Standing up AI is common; rigorously proving it performs is what clinical and compliance teams require — and where Health Universe is strongest.
05
Connect once and go live in about two weeks — no rip-and-replace.
06
Built on healthcare standards (SMART on FHIR, TEFCA); existing systems feed the platform, with no migration.
Get started
Learn how Health Universe can unify your patients’ full clinical picture with highly configurable summaries, outputs and agents, to move your most important work forward.