In December 2025 Issue 1 Wave, I introduced the subject of Ambient AI. This is a technology that has rapidly expanded across over 200 hospital systems in the USA that use EPIC as their electronic health records (EHR) platform and the Abridge Ambient AI app (see link). Those using this technology for their providers and staff report more focused time with patients and less time documenting encounters. The improved efficiency also translates into greater productivity for healthcare teams. 

However, in my area, the dominant EHR used by SNFs is PCC (Point Click Care), which does not have the abridge app integrated into their system as it does to varying degrees in EPIC using systems. In addition, the digital documentation option for providers is still a work in progress (my opinion). In my area, most providers use standalone EHRs (I use Netsmart’s GehriMed) for their documentation, and Abridge does not work with these small systems. 

Out of curiosity, I asked Google’s AI, “Gemini,” if PCC or GehriMed had options for ambient AI for their users. I have attached what Gemini found. I was surprised by how many options are currently operational or in development. Whatever EHR you are using for provider or staff documentation, I encourage you to discover your options for adopting ambient AI. 

I believe the startup costs and the work adopting this new technology will improve comprehensive care documentation and the experience of care of your patients and families while freeing up critical thinking time for your providers and staff. I suspect multisystem facilities will be the first to begin piloting this technology and look forward to their sharing their experience in future WAVE articles. 

I expect Ambient AI will become a part of usual facility care within the next 5 years.

Example responses from Gemini:

• Abridge Adoption in EPIC Using Hospital Systems
• Ambient AI Options for PCC Users
• Ambient AI Options for GehriMed Users

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Abridge Adoption in EPIC using Hospital Systems

Prompt: What are large hospital systems in USA that are using Abridge as their Ambient AI app?

Example gemini response - 010626

Abridge has rapidly expanded its footprint, now partnering with over 200 health systems across the United States. It is particularly popular among large systems using Epic due to its deep integration with the Epic EHR (Electronic Health Record).

Below are the major hospital systems and networks currently using Abridge as their ambient AI solution:

Large National & Multi-State Systems

• Kaiser Permanente: One of the largest implementations to date, rolling out Abridge across its 40 hospitals and 600+ medical offices to support thousands of clinicians.

• Mayo Clinic: An enterprise-wide partner that initially focused on nursing documentation and has since expanded to thousands of physicians.

• UPMC (University of Pittsburgh Medical Center): A primary partner where Abridge was co-founded; it is being scaled to over 12,000 clinicians across 40+ hospitals.

• Northwell Health: The largest healthcare provider in New York, which recently began a system-wide deployment across its 28 hospitals.

• Christus Health: A large Catholic health system (primarily in Texas and the South) that deployed the tool to over 15,000 providers.

Academic & Regional Powerhouses

• Duke Health: Partnered to provide the platform to over 5,000 clinicians across 150 primary and specialty clinics.

• Yale New Haven Health: Connecticut’s largest system, using Abridge to reduce "pajama time" (after-hours charting) for its thousands of clinicians.

• Sutter Health: A major Northern California system that was an early adopter of the generative AI platform for its physicians.

• Emory Healthcare: A leading academic system in Georgia that utilizes Abridge for its enterprise-wide clinical documentation.

• The University of Kansas Health System: One of the first major academic centers to pilot and scale the technology.

• Inova Health: The leading provider in Northern Virginia, which selected Abridge after a rigorous head-to-head competitive assessment.

Specialized & Pediatric Systems

• Hospital for Special Surgery (HSS): The world’s top-ranked orthopedic hospital uses a specialized version of Abridge tailored for surgical and musculoskeletal documentation.

• Seattle Children’s Hospital: Implemented enterprise-wide to handle the unique complexities of pediatric care and multi-caregiver conversations.

• Memorial Sloan Kettering (MSK): The renowned cancer center uses Abridge to manage complex oncology documentation.

Summary Table: Notable Partnerships

 

Health System	Reach / Scale	Focus Area
Kaiser Permanente	40 Hospitals	Enterprise-wide rollout
UPMC	12,000+ Clinicians	Deep EHR integration (Epic)
Duke Health	5,000+ Clinicians	Primary & Specialty care
Northwell Health	28 Hospitals	System-wide digital transformation
HSS	Orthopedic Leader	Specialized surgical documentation

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Ambient AI Options for PCC Users

Prompt: Does Point Click Care have an option for ambient AI for clinicians using this EHR?

January 5, 2026

As of 2026, PointClickCare has significantly expanded its AI portfolio to address documentation burdens, particularly for skilled nursing facilities (SNFs) and post-acute care.

1. Direct Partnership: Microsoft Dragon Copilot

At the 2025 PointClickCare SUMMIT, the company announced a major collaboration with Microsoft to develop ambient scribe capabilities specifically for nursing.

• Purpose: Unlike many ambient AI tools designed for outpatient clinics, this version is being "fine-tuned" for the specific workflows of long-term care and skilled nursing.

• Status: It was recently introduced as a proof-of-concept and research initiative intended to integrate directly into the PointClickCare EHR.

2. Integrated Marketplace Partners

Clinicians can currently use ambient AI scribes through the PointClickCare Marketplace. These tools listen to patient encounters and push structured notes (like SOAP notes) directly into the EHR:

• Andor Health (ThinkAndor®): An ambient AI-driven platform that supports virtual rounding and nursing. It is designed to "virtually monitor" care and reduce the documentation burden by capturing details during rounds.

• RevMaxx: A specialized AI scribe for PointClickCare that uses an API to sync notes. Clinicians record the visit, and the AI generates a note that can be saved directly into the "Progress Notes" or "Practitioner Notes" sections of the patient record.

• HealOS (formerly Scribehealth.ai): Offers a browser extension that works inside the PointClickCare interface to record conversations and auto-fill records.

3. Native "Chart Advisor" Tool

While not a "scribe" in the traditional sense, PointClickCare launched Chart Advisor in late 2025.

• It uses AI to detect documentation gaps and incident risks in real-time.

• It prompts clinicians to complete required documentation based on high-risk events it identifies within the clinical workflow.

Comparison of Ambient AI Options

Solution	Type	Primary Focus
Microsoft Dragon Copilot	Co-developed / Native	Nursing-specific documentation and shift summaries.
RevMaxx / HealOS	Third-party Scribe	Clinician-patient encounter notes (SOAP/Progress notes).
Andor Health	Virtual Care Partner	Virtual rounding, sitting, and AI-driven monitoring.
Chart Advisor	Native Feature	Risk management and closing documentation gaps.

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Ambient AI Options for GehriMed Users

Prompt: Does GehriMed EHR have an Ambient Listening Option for Improving efficiency of chart Visit Documentation?

January 5, 2026

GehriMed (now a part of the Netsmart CareFabric® platform) offers an ambient listening option to improve visit documentation efficiency through Bells™ Virtual Scribe.

Since GehriMed is a specialized EHR for geriatric and long-term post-acute care (LTPAC), its ambient AI features are specifically tailored to the workflows of mobile and facility-based clinicians.

1. The Native Option: Bells™ Virtual Scribe (by Netsmart)

In late 2024 and throughout 2025, Netsmart integrated its Bells AI technology across its clinical platforms, including GehriMed.

• How it works: It uses ambient listening to capture the clinician-patient conversation in real-time. It then uses Generative AI to transform that dialogue into structured clinical summaries or progress notes.

Key Efficiency Features:

·       Near Real-Time Transcription: Draft notes are taken almost immediately after the encounter.

·       Terminology Tagging: Automatically identifies and tags ICD-10 and SNOMED codes within the conversation.

·       Evidence Mapping: Allows clinicians to see exactly which part of the transcript generated a specific sentence in the clinical note, ensuring accuracy during the review process.

2. Traditional Voice Option: Dragon Medical One Integration

If you do not want full "ambient" automation (where the AI interprets a two-way conversation), GehriMed has long maintained a deep integration with Nuance Dragon Medical One.

• Voice Macros: GehriMed allows for "voice macros" where you can dictate specific triggers to pull in templates.

• Efficiency Gain: According to GehriMed’s own data, clinicians using Dragon integration complete encounters roughly 10% faster than those using standard typing or templates alone.

3. Third-Party Ambient AI "Scribes"

Because GehriMed is a web-based/mobile EHR, it is also compatible with several "EHR-agnostic" ambient AI tools that use browser extensions or mobile app overlays:

• Heidi Health: A popular ambient scribe that many GehriMed users utilize as a "sidecar" application to draft notes that are then pasted into the EHR.

• Tali AI: Offers a browser extension specifically designed to work with web-based EHRs like GehriMed to record and auto-fill documentation.

Comparison of Documentation Tools for GehriMed

Feature	Bells Virtual Scribe (Native)	Dragon Medical One	Third-Party (e.g., Heidi/Tali)
Technology	Ambient AI (Two-way)	Speech-to-Text (Dictation)	Ambient AI (Two-way)
Integration	Direct / Embedded	Integrated Plugin	Extension / Copy-Paste
Coding	Auto-suggests ICD-10	Manual selection/voice	Varies by provider
Best For	Hands-free bedside visits	Quick, structured summaries	Clinicians wanting a specific AI "personality"