Technical Overview

How Mediflowly Works

From first EHR handshake to live operational dashboard in four weeks. No custom integration development required — we handle the data architecture.

Request Demo Security Architecture
4-Stage EHR → Operational Analytics Pipeline 1. Connect HL7 FHIR R4 ADT events 2. Ingest Normalize Ops schema 3. Surface Real-time dashboards 4. Act Alerts Actions Timeline Week 1 EHR credentials Week 2 Data validation Wk 3-4 Dashboard go-live Zero custom dev No Epic App Orchard install No Cerner FHIR app build Standard API read-only access
Process

Connect → Ingest → Surface → Act

Four stages, four weeks, zero EHR customization required from your team beyond standard API access.

Four-step process diagram showing EHR connection to Mediflowly data pipeline: Connect, Ingest, Surface, Act
1

Connect EHR

We establish connection via your EHR's native interface — HL7 FHIR R4 for modern EHRs, ADT event feeds for all others. No custom development from your IT team.

HL7 FHIR R4 ADT A01/A02/A08 SIU scheduling
2

Ingest & Normalize

Raw HL7 and FHIR messages are normalized to Mediflowly's unified patient flow schema. Patient identifiers are de-identified at ingestion for operational analytics. All processing occurs in our TLS 1.3-encrypted pipeline.

De-identification Schema mapping
3

Surface Insights

The Mediflowly Command Center goes live for your care coordination team. ED census view, OR block utilization dashboard, and capacity grid are configured to your unit structure and shift schedules.

ED census OR utilization
4

Ops Team Acts

Charge nurses, bed management coordinators, and OR directors act on real-time data. Automated alerts trigger at configurable thresholds (boarding time, utilization drops, turnover delays).

Configurable alerts Role-based access
Data Architecture

Data Architecture Overview

Built for the data standards your EHR already uses. No proprietary feeds, no vendor lock-in on the data layer.

Input Layer

HL7 FHIR R4 + ADT

Supported message types: ADT^A01 (admit), ADT^A02 (transfer), ADT^A03 (discharge), ADT^A08 (update). FHIR R4 Encounter, Location, Appointment, and Schedule resources.

Processing Layer

Ops Schema Normalization

Mediflowly's operational schema maps heterogeneous EHR data models to consistent patient flow event streams. De-identification at ingestion using Safe Harbor method. Encounter IDs replace MRNs for analytics.

Output Layer

Real-Time + Historical

Command center refresh every 60 seconds for operational use. Historical data retained for rolling 24-month window supporting trend analysis, benchmarking, and reporting cycles.

Security architecture summary

Mediflowly is designed with HIPAA controls in mind. Data in transit is encrypted with TLS 1.3. Data at rest is encrypted using AES-256. All user access is role-based with audit logging. We offer a Business Associate Agreement (BAA) to all health system customers.

Full security architecture
Implementation

4-Week Implementation Path

Not a 12-month EHR project. A focused four-week path from signed agreement to live command center.

Wk 1

EHR Connection

API credentials, FHIR endpoint configuration, ADT feed validation. IT team involvement: ~4 hours total.

Wk 2

Data Normalization

Mediflowly maps your unit codes, bed labels, and physician identifiers to our ops schema. Validation review with your team.

Wk 3

Dashboard Config

Dashboards configured for your unit structure, shift schedules, and alert thresholds. Soft-launch to care coordination team.

Wk 4

Go-Live

Full rollout to all designated users. Reporting configured, BAA executed, 30-day post-launch support included.

Ready to start the connection process?

We'll review your EHR environment in the first call and confirm timeline and IT requirements before any commitment.