Sully.ai's TrakCare AI scribe integration lets clinicians capture the patient conversation ambiently, generate a structured clinical note, and write it directly into InterSystems TrakCare: no dictation, no copy-paste, no after-hours charting. For health systems across the GCC, where TrakCare is one of the most widely deployed EHRs, this closes the last gap between AI documentation and the systems regulators actually read from.

Key Takeaways

• Direct write-back, not copy-paste: Sully generates structured notes from the ambient encounter and writes them into TrakCare, so documentation lands in the record clinicians and coders already work in.
  
  

• TrakCare handles the HIE layer: Structured notes entered into TrakCare flow through TrakCare's existing connections to regional exchanges, the same pathway providers already use for Nabidh and Malaffi compliance in the UAE and NPHIES-linked workflows in Saudi Arabia.
  
  

• The clinical evidence is strong: A 2025 JAMA Network Open study of 263 clinicians found ambient AI scribes cut burnout from 51.9% to 38.8% in just 30 days.
  
  

• Time savings compound fast: UChicago Medicine research found clinicians using ambient AI spent 8.5% less total time in the EHR, with a 15% drop in note-composition time, multiple recovered hours per week for a full-panel physician.

Why a TrakCare AI Scribe Matters in the GCC

InterSystems reports the platform is trusted by providers in more than 25 countries, and its GCC footprint is exceptional: Mediclinic Middle East runs TrakCare across its UAE hospital network, Medcare deployed it across four hospitals and 16 medical centres, and NEOM selected TrakCare to underpin its entire healthcare ecosystem in Saudi Arabia.

This means thousands of GCC clinicians live inside TrakCare every day. And like their peers globally, they spend a disproportionate share of that day typing. Yale School of Medicine researchers note that physicians now spend more than half their workday documenting in the EHR, with one to two additional hours in the evening.

An AI scribe for TrakCare EHR environments only solves this problem if the note actually ends up in TrakCare: structured, in the right fields, ready for coding, billing, and regulatory submission. A transcript sitting in a separate app is just a new copy-paste chore.

Bottom line: In the GCC, the EHR is also the compliance gateway. An AI scribe that stops short of the EHR stops short of the finish line.

How the Sully + TrakCare Integration Works

The workflow is deliberately simple. Sully listens ambiently, structures the encounter, and delivers the finished note into TrakCare for clinician sign-off.

Step 1: Ambient Capture During the Visit

The clinician starts a session on a phone, tablet, or desktop and conducts the visit normally. Sully's ambient AI distinguishes clinically relevant content from small talk, handles medical terminology and multiple accents, a practical necessity in the GCC's multilingual, multinational care settings, and never requires the clinician to turn toward a keyboard.

Step 2: Structured Note Generation

Within moments of the encounter ending, Sully produces a structured draft: chief complaint, HPI, examination findings, assessment, and plan, mapped to the note format your organization uses. Specialty-tuned templates cover high-volume GCC service lines, from cardiology and orthopedics to OB/GYN and pediatrics.

Step 3: Clinician Review and Write-Back to TrakCare

The clinician reviews, edits if needed, and signs. Sully then writes the structured note into TrakCare through its integrations layer, so the documentation lives in the same record that drives orders, coding, and claims.

Pro Tip: Treat the AI note as a strong first draft. The signing clinician always owns the final content; Sully shifts the work from typing to verifying, which is where the time savings come from.

Step 4: One Platform, Multiple AI Employees

Because Sully is a platform of AI employees rather than a point tool, the same TrakCare connection that powers the AI Scribe can support the AI Medical Coder and other agents — one integration, one security review, multiple workflows.

Where Nabidh, Malaffi, and NPHIES Fit In

This is the question every GCC health IT leader asks first, so let's be precise about the architecture.

Regional health information exchanges, Dubai's Nabidh, Abu Dhabi's Malaffi, and Saudi Arabia's NPHIES platform, require providers to submit clinical and claims data through validated, standards-based pipelines. TrakCare already does this work. Mediclinic's TrakCare rollout was explicitly tied to joining Dubai's Nabidh programme, and Sultan Bin Abdulaziz Humanitarian City's TrakCare deployment included NPHIES and Zatca integration as core revenue-cycle requirements.

The division of labor is clean:

• Sully's job: Capture the encounter and write an accurate, structured clinical note into TrakCare.
  
  

• TrakCare's job: Manage the record of truth and handle downstream HIE submission through its existing certified connections.
  
  

• Your compliance team's job: Nothing new. The HIE pipeline you've already validated stays exactly as it is.

Sully does not connect to Nabidh or NPHIES directly and that's by design. Because the note enters TrakCare as structured data through the front door, it flows to the exchanges through the same governed pathway as every manually typed note. No parallel data path, no new regulatory surface area.

The safest AI documentation architecture in a regulated market is the one that changes nothing downstream. Sully improves how the note gets written; TrakCare keeps doing what regulators already trust it to do.

What Clinicians and Health Systems Gain

The evidence base for ambient AI documentation matured dramatically in 2025, and the numbers are hard to ignore.

• Burnout drops fast: The multicenter JAMA Network Open study found burnout fell from 51.9% to 38.8% after 30 days of ambient AI scribe use, with significant improvements in cognitive load and after-hours documentation.
  
  

• EHR time shrinks: UChicago Medicine's paired study measured 8.5% less total EHR time and 15% less note-writing time: two to three minutes saved per patient, which compounds to hours weekly at GCC clinic volumes.
  
  

• Patients get the clinician back: With no keyboard between them, clinicians report markedly better ability to give patients undivided attention: a direct driver of the patient-experience scores GCC private groups compete on.
  
  

• Documentation quality improves: Structured, consistent notes support cleaner coding, fewer claim rejections, and better data quality flowing into TrakCare and onward to the HIE.

For multilingual GCC clinics, there's a further benefit: ambient capture removes the friction of documenting in English while consulting in Arabic, Hindi, Tagalog, or any mix of the region's care languages.

Manual Notes vs. Standalone Scribe vs. Integrated Scribe

Frequently Asked Questions

What is a TrakCare AI scribe? 

A TrakCare AI scribe is ambient documentation software that listens to the patient encounter, generates a structured clinical note, and writes it into the InterSystems TrakCare EHR for clinician review and sign-off. Sully's integration eliminates manual typing and copy-paste transfer.

Does Sully connect directly to Nabidh or NPHIES? 

No and it doesn't need to. Sully writes structured notes into TrakCare, and TrakCare handles downstream HIE submission through its existing certified connections, the same way it does for manually entered documentation.

How long does the InterSystems TrakCare integration take to implement? 

Typical deployments run a few weeks: integration setup, template configuration for your specialties, and phased clinician onboarding. Because Sully is one platform, adding further AI employees later requires no new integration project.

How much time does an AI scribe actually save? 

Peer-reviewed research shows roughly two to three minutes saved per patient and a 15% reduction in note-composition time: several hours per week for a clinician seeing 20+ patients a day.

Is an ai scribe for TrakCare EHR environments safe and compliant? 

Yes, when properly architected. Sully operates with enterprise-grade security (encryption in transit and at rest, access controls, audit logging), the clinician reviews and signs every note, and the record of truth remains TrakCare.

Does it work in multilingual GCC clinics? 

Yes. Ambient capture handles varied accents and mixed-language encounters common across UAE and Saudi care settings, producing clean English structured notes for the TrakCare record.

Sources

1. InterSystems: Medcare TrakCare digital transformation success story. https://www.intersystems.com/success-stories/medcare-trakcare-digital-transformation-journey/

2. Healthcare IT News: Mediclinic Middle East UAE TrakCare integration and Nabidh participation. https://www.healthcareitnews.com/news/emea/mediclinic-middle-east-complete-uae-trakcare-integration-q1-2022

3. PR Newswire: NEOM deploys InterSystems TrakCare across its healthcare ecosystem. https://www.prnewswire.com/news-releases/intersystems-trakcare-and-intersystems-iris-for-health-to-underpin-deployment-of-fully-unified-future-ready-ai-driven-healthcare-ecosystem-at-neom-302205380.html

4. PR Newswire: Sultan Bin Abdulaziz Humanitarian City TrakCare upgrade with NPHIES and Zatca integration. https://www.prnewswire.com/news-releases/sultan-bin-abdulaziz-humanitarian-city-streamlines-clinical-workflows-and-enhances-user-experience-with-intersystems-trakcare-meui-upgrade-302242091.html

5. Gulf News: InterSystems TrakCare as a Service launch in the Middle East; deployed in 25+ countries. https://gulfnews.com/uae/health/intersystems-launches-trakcare-as-a-service-in-the-middle-east-1.1544350871714

6. JAMA Network Open (via PubMed): Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout, 2025. https://pubmed.ncbi.nlm.nih.gov/41037268/

7. UChicago Medicine: Studies on ambient AI time savings and EHR efficiency. https://www.uchicagomedicine.org/forefront/research-and-discoveries-articles/ambient-ai-saves-time-reduces-burnout-fosters-patient-connection

8. Yale School of Medicine: AI scribes reduce physician burnout and return focus to the patient. https://medicine.yale.edu/news-article/ai-scribes-reduce-physician-burnout-return-focus-to-the-patient/

9. Healthcare IT News: Understanding NPHIES, Saudi Arabia's health information exchange. https://www.healthcareitnews.com/news/emea/understanding-nphies-ksas-health-information-exchange