Architectural comparison

One unified operating layer. Not another stack of point solutions.

Health systems are forced to stitch together a standalone AI scribe, a population health dashboard, a value-based care reporting tool and a legacy EMR. IASORA runs clinical documentation, risk stratification, multi-channel patient engagement and care execution on a single FHIR-native record.

A single FHIR-native patient record · closed-loop execution · no vendor fragmentation

Point solutions find problems. They do not run the work to done.

The fragmentation problem

Every tool you add is a join somebody has to make by hand.

Buying dedicated software for each isolated clinical task creates administrative noise. An AI scribe writes a note in a separate app. A population health platform flags an at-risk cohort on a dashboard nobody opens. A value-based care tool produces a quarterly report long after the care gap happened. The work of connecting those tools falls on your clinical staff, as copy-paste, double entry and lost context.

A fragmented software stack compared with a single operating layer On the left, five separate systems for clinical documentation, population health, contract performance, patient messaging and the EMR, each connected only by a dashed line to your staff in the middle, who copy, re-key and reconcile between them. On the right, the same five functions connected by solid lines to one FHIR record that every module reads and writes. THE FRAGMENTED STACK Clinical documentation Population health Contract performance Patient messaging EMR and HIS Your staff copy, re-key and reconcile between all five Five systems, five logins. The joins are made by hand. ONE OPERATING LAYER Clinical documentation Population health Contract performance Patient messaging EMR and HIS One FHIR record every module reads and writes the same chart One system, one record. The record makes the joins.

Both sides run the same five functions. The difference is where the integration work lives: in your staff's day, or in the record.

The financial reality

The compounding cost of a fragmented stack.

Each of these looks affordable on its own. The total compounds across subscriptions, integration maintenance and the administrative work of holding them together. The figures below are indicative market ranges for each category, not a quote from any one vendor.

Standalone AI scribe

$150 to $300 per provider, per month

Seat-based, so the bill scales with headcount rather than with value. Staff still re-key the note and the codes into the EMR afterwards.

Population health and VBC platform

$0.50 to $2.00 per member, per month

Charges you for growth. The bill rises with every attributed life, whatever the contract returned that year.

Patient messaging and engagement

$50 to $100 per provider, per month, plus usage

Per-message charges on top of the seat fee, and a separate compliance review for every external channel you open.

Custom integration and IT overhead

$50,000 to $200,000 per vendor integration

Then annual API maintenance, a security review cycle per vendor, vendor management, and the middleware holding it together.

The consolidated alternative

Clinical documentation, risk stratification, omni-channel messaging and care execution run on one platform rather than four to six subscriptions. There is no per-member software fee, no charge to ingest your own data, and nothing held behind a per-feature gate. Enterprise deployments are scoped and priced with you.

Talk to us about pricing

Category alignment

Replacing fragmented point tools with a single closed loop.

Single-purpose software is good at its one tile. Running a health system takes the whole board. Here is what each category stops at, and where the same job carries on when it runs on one record.

Layer 1

Clinical documentation

A standalone scribe

Captures the audio and returns a text note in its own window. Staff still code the visit, pull out the care gaps and update the EMR by hand.

On IASORA

Scribe listens, drafts the specialty note, codes the clinical entities to ICD-10 and SNOMED, and files structured FHIR resources onto the chart itself.

Layer 2

Population health and risk

A dashboard

Ingests claims and returns static risk scores and registries sorted by acuity, leaving care managers with a list of the patients they can do least about.

On IASORA

Ranks the panel by preventable risk rather than acuity, names the care gaps that are actually open, and starts the outreach from the cohort view.

Layer 3

Multi-channel patient engagement

A messaging tool

A separate inbox or call centre operating outside the medical record, with the compliance exposure that comes from patient conversations living somewhere else.

On IASORA

Outreach across WhatsApp, SMS and voice against an enforced response window. Replies attach to the chart, and a booking writes straight to the schedule.

Layer 4

System of record and EMR integration

The usual options

A custom API connector per vendor, or a multi-year, multi-million rip-and-replace of the hospital information system.

On IASORA

An FHIR overlay that leaves your existing systems in place, or a full AI-native system of record for a new build. Same architecture either way.

Enterprise comparison

Evaluating the architectural differences.

Standalone AI scribesPopulation health and VBC dashboardsLegacy EMR and HISIASORA
Core functionAmbient documentationRisk scoring and reportingDatabase and billing recordThe full clinical and operational loop
Data continuityAn isolated noteStatic claims ingestionFragmented module silosOne FHIR R4 patient record
Action executionNone, a text draft onlyNone, a flag on a screenManual staff tasksAI agents that act, behind a human approval gate
Patient engagementNoneLimited, or a third-party add-onA basic portalNative voice AI, WhatsApp, SMS and forms
DeploymentA desktop or mobile appA web dashboard over your dataRip-and-replaceA non-disruptive FHIR overlay, or your full HIS and EMR
Governance and privacyA third-party cloud APIA disconnected claims databaseVendor lock-inIn-region sovereign AI, on-premise tokenisation

See how this deploys in a health system →

The platform advantage

Six agents on one patient record. Not six logins for your staff.

The advantage is not the model. Models converge, and before long everybody will have a capable one. The advantage is the closed operational loop running on a single interoperable record, and the governance around it.

Shared context

Because every module works from the same FHIR record, what the voice agent learns at reception reaches the scribe during the visit, and the note it files moves the risk score in Care Hub.

Clinician control

Agents handle the administrative drafting, the scheduling and the triage. Anything clinically consequential stays behind a human approval gate, and every agent action is logged.

Data sovereignty by design

On-premise tokenisation through the Data Privacy Gateway keeps PHI inside your jurisdiction, whether you deploy on cloud, private cloud or air-gapped on-premise.

Get started

Simplify your clinical software stack.

Book an architectural working session and we will map what you run today against a single FHIR-native operating layer, on your own systems.