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INDUSTRY SOLUTION
HEALTHCARE

Governance-ready analytics across the care continuum.

Patient flow, billing cycles, bed management — all in different systems, all producing different numbers, all requiring different teams to reconcile before anyone can act.

IntelliFabric aggregates EHR, billing, and scheduling data into a governed healthcare analytics layer — with the row-level security, audit trail, and compliance controls your organization requires.

40%
Faster claims review
12%
Bed utilization gain
6 wks
Typical go-live
app.intellifabric.com / healthcare / clinical-ops● LIVE
Bed Utilization
83.5%
+5pp vs last wk
Avg LOS
3.4 days
−0.3d vs target
Readmit Rate
7.2%
+1.1pp alert
Rev Cycle Days
28d
−4d MTD
Ward Bed Utilization
ICU
23/24
General
69/80
Surgical
32/40
Maternity
22/30
Outpatient
42/60
ED Wait Time42 min ↑
OR Utilization81.4% ↑
Discharge Delays8 pending !
Revenue Cycle — AR Aging
0–30 days
$1.2M
31–60 days
$340K
61–90 days
$128K
90+ days
$42K
Quality Metrics
MeasureValuevs Target
HCAHPS Overall87%+2pp
Hand Hygiene94%+4pp
Fall Rate0.4%−0.1pp
THE PROBLEM

What's breaking before IntelliFabric.

Every healthcareoperation we talk to faces the same six problems. If these sound familiar, you're not alone.

Bed availability is managed by phone call

Charge nurses call each ward to find available beds. Discharge planning is reactive. Delayed discharges block incoming admissions and drive patients to other facilities.

Real-time bed dashboards give charge nurses live capacity across every ward — discharge coordination starts from a screen, not a phone round.

Revenue cycle leakage is found too late

Claims denial rates and aging AR are reported monthly. By the time the revenue cycle team sees a problem, 60-day claims have already crossed into write-off territory.

AR aging dashboards flag at-risk claims automatically at 30 days — well before they cross the 60-day write-off threshold.

Readmission risk isn't flagged before discharge

Readmission rates are tracked retrospectively. The patients most likely to return within 30 days aren't identified at the point of discharge — when intervention is still possible.

Readmission risk scores surface at the point of discharge — when clinical intervention is still possible, not after the patient returns.

Data doesn't cross department boundaries

Clinical operations, finance, and administration each have their own reports from their own systems. Decisions that require a cross-functional view require a cross-functional meeting.

A governed cross-functional data layer means clinical, finance, and admin see the same reconciled numbers from one source — no manual alignment required.

Compliance reporting is manually assembled

HEDIS measures, CMS quality metrics, and payer reporting require analysts to manually extract and validate data from multiple systems. Every reporting cycle is a fire drill.

HEDIS, CMS, and payer metrics are encoded in the data model — compliance reports run automatically, every cycle, without analyst intervention.

Scheduling gaps drive no-show cascades

Appointment no-show rates are reviewed weekly. Overbooking and underbooking patterns aren't visible until the day's schedule is already set and patient calls begin.

No-show patterns by provider and department surface daily — scheduling teams adjust overbooking before the day's calendar is locked.

KPI LIBRARY

Every metric your team needs — pre-built.

These KPIs ship with IntelliFabric for Healthcare. No custom build required — they arrive encoded with your data on day one.

Clinical Ops
01
Bed Utilization Rate
Occupied beds as a percentage of staffed capacity, by ward
02
Average Length of Stay
Actual vs expected LOS by DRG, service line, and attending
03
Patient Throughput
ED arrivals, admissions, discharges, and transfers per day
04
OR Utilization Rate
Scheduled vs available block time by surgeon and room
05
Lab Turnaround Time
Order-to-result time for high-priority and STAT orders
Revenue Cycle
06
Revenue Cycle Days
Days in A/R by payer class and claim type
07
Claim Denial Rate
Denials as a percentage of submitted claims, by payer and reason
08
Cost per Patient Day
Total cost divided by patient days, by ward and service line
Quality & Safety
09
30-Day Readmission Rate
Readmissions within 30 days by diagnosis group and care team
10
HCAHPS Patient Satisfaction
Survey scores by domain and department, trended
Workforce
11
Appointment No-Show Rate
No-shows and cancellations by department and provider
12
Staff Overtime Rate
Overtime hours as a percentage of scheduled hours, by unit
WHY INTELLIFABRIC

Built for Healthcare.
Not adapted from something else.

Generic BI tools can be configured for any industry. IntelliFabric ships with healthcare logic already encoded — data models, KPI definitions, and integration connectors specific to your operations.

Governance built into the architecture — not added later

Row-level security, column masking, and audit logging are configured from day one. Every data access is recorded and attributable. Compliance doesn't ask for it — it's already there.

EHR-native connectors for Epic, Cerner, and Meditech

Pre-built extractors mean your clinical data is in the lakehouse without custom FHIR mapping or HL7 translation projects. The connectors are tested, versioned, and maintained.

Revenue cycle and clinical data — same governed layer

Finance and clinical operations see the same reconciled numbers from one source. The monthly alignment meeting to agree on the data becomes unnecessary.

Quality measures pre-encoded

HEDIS, CMS, and payer-required metrics are built into the data model. Compliance reporting runs on schedule — not as a fire drill before every submission deadline.

INTEGRATIONS

Connects to every system you already run.

No rip-and-replace. IntelliFabric ingests from your existing stack using pre-built connectors and Microsoft Fabric data pipelines.

EHR
EP
Epic EHR
CER
Cerner / Oracle Health
MT
Meditech
AL
Allscripts
Revenue Cycle
AT
Athenahealth
WS
Waystar
CH
Change Healthcare
Infrastructure
Azure
Microsoft Azure Health
Azure
SQL Server
HL7
HL7 / FHIR Feeds

+ Any REST API, SFTP feed, or custom source — via Microsoft Fabric Data Factory connectors.

HOW IT WORKS

From kickoff to live in 4–6 weeks.

1
Week 1–2
Ingest & Govern
  • EHR data connector configured (Epic/Cerner API)
  • Billing and RCM data ingested
  • HL7/FHIR feeds connected
  • Row-level security and audit trail configured
2
Week 3
Model & Validate
  • Clinical data model built and validated
  • Revenue cycle logic encoded
  • Quality measure definitions (HEDIS, CMS) configured
  • Department and service line hierarchy mapped
3
Week 4–5
Deploy Dashboards
  • Clinical operations dashboard live
  • Revenue cycle and AR aging reporting active
  • Readmission risk and LOS variance deployed
  • OR utilization and scheduling analytics live
4
Week 6
Train & Certify
  • CMO and clinical leadership walkthrough
  • Revenue cycle team training
  • Compliance team sign-off on governance controls
  • Managed service and ongoing monitoring begins
RESULTS

What clients actually achieve.

0%

Faster claims review

Revenue cycle dashboards flag aging claims automatically — before the 60-day mark

0%

Bed utilization improvement

Discharge planning dashboards reduce delayed discharges and increase bed throughput

0 wks

Time to go live

EHR + billing + scheduling integrated with full governance controls applied

“

I walked into the board meeting with dashboards that update every hour. That's never happened in this company's history. Normally we're arguing about which spreadsheet is right.

M
Maria Torres
CFO, Savills MENA
OTHER INDUSTRIES

IntelliFabric covers every vertical.

See IntelliFabric for Healthcare.

Book a 30-minute demo and we'll walk you through exactly how IntelliFabric would work with your data and systems.