Fall Detection for CCRC PCM — ALIS + CCN Health

Fall Detection for CCRC PCM with ALIS and Ethizo

CCRC campuses using ALIS as their facility EHR often work with physicians who use Ethizo for their practice management. When implementing PCM with fall detection, this dual-EHR reality creates data flow challenges that CCN Health solves through bi-directional integration with both systems.

The Dual-EHR Challenge in CCRC

In ccrc settings with fall detection, it's common for:

• The facility to use ALIS for resident records, charting, and daily care documentation
• The physician to use Ethizo for orders, billing, and clinical decision-making
• Fall Detection data to be needed in both systems for complete clinical documentation and billing

Without an integration bridge, fall detection readings exist in isolation — staff must manually transcribe data between systems, leading to documentation gaps and billing delays.

How Fall Detection Works

Sensor-based fall detection uses radar presence sensing combined with movement pattern analysis to identify falls in real-time, even when no one witnesses the event.

Data Captured

• Fall events
• Room presence/absence
• Activity patterns
• Bed exit timing
• Nighttime movement frequency

How CCN Health Bridges ALIS and Ethizo

CCN Health's platform serves as the central hub for all fall detection data in dual-EHR environments:

1. Fall Detection data flows to CCN Health — Fall events and other metrics are captured continuously by the monitoring system
2. ALIS receives resident records — Vital signs, alerts, and care documentation sync to ALIS resident charts automatically
3. Ethizo receives clinical summaries — The ordering physician gets PCM reports with fall detection data in their Ethizo workflow
4. Billing documentation routes correctly — Claims data with fall detection support goes to the billing entity via Ethizo

Data Flow: ALIS ↔ CCN Health ↔ Ethizo

Data Type	ALIS	CCN Health	Ethizo
Resident Demographics	Source	Syncs	Receives
Fall events	Receives	Hub	Receives
Fall Detection Alerts	Receives	Generates	Receives
Care Plans	Shared	Coordinates	Shared
Billing Documentation	Reference	Generates	Primary
PCM Time Tracking	Reference	Tracks	Primary

Benefits for CCRC Campuses

Combining fall detection with dual-EHR integration provides unique advantages for ccrc campuses:

Continuum Coverage

One monitoring platform covers every care level — data follows the resident as acuity changes.

Transition Support

Continuous monitoring data informs care level transitions with objective health metrics.

Fall Detection Advantages

• Detects falls even when no staff member is present
• Reduces time-to-response for fall events

Billing Considerations for Dual-EHR Fall Detection PCM

In dual-EHR environments with fall detection, billing typically flows through the physician practice (Ethizo):

CPT Code	Reimbursement	Billing Entity	Documentation Source
99424	~$70/mo	Physician (Ethizo)	CCN Health → Ethizo
99425	~$56/mo	Physician (Ethizo)	CCN Health → Ethizo
99426	~$80/mo	Physician (Ethizo)	CCN Health → Ethizo
99427	~$64/mo	Physician (Ethizo)	CCN Health → Ethizo

Fall Detection data provides the clinical documentation needed to support PCM billing with objective, time-stamped readings that demonstrate monitoring compliance.

Frequently Asked Questions

How does fall detection data reach both EHR systems?

Data flows from the monitoring device to CCN Health's platform, then syncs bi-directionally with both ALIS (for resident care documentation) and Ethizo (for physician clinical records and billing).

Do both systems get the same fall detection data?

Both systems receive fall detection data, but formatted for each system's role. ALIS gets detailed resident charting, while Ethizo receives clinical summaries optimized for physician workflows and billing.

What is the implementation timeline for fall detection with dual-EHR?

Most ccrc campuses are fully operational within 4-6 weeks, including system deployment, dual-EHR integration setup, and care staff training. Both EHR connections are configured simultaneously.