Nivaran

10/26/2026

AI Can Draft the Clinical Note. But Who Ensures It’s Complete?

AI is making clinical documentation faster. But speed alone isn’t enough when every clinical detail matters.

An AI-generated note may still need a closer look to ensure it accurately captures the patient encounter, preserves important clinical context, and supports complete documentation.

That’s where human expertise makes a difference.

With a human-assisted AI scribing approach, healthcare organizations can combine:

🔹 AI efficiency to generate clinical notes faster
🔹 Human review to identify omissions and refine documentation
🔹 Clinical context to help maintain the integrity of the patient encounter
🔹 Workflow efficiency to reduce the burden of reviewing and editing notes

The future of clinical documentation isn’t necessarily AI versus humans. It’s about bringing the strengths of both together.

ScribeRyte AI Plus combines AI-generated notes with professional medical scribe review to help providers spend less time on documentation and more time focused on patient care.

Read the article to learn why human review remains an important part of AI-powered clinical documentation:

https://scriberyte.ai/resources/articles/human-review-of-ai-generated-clinical-notes

Why Does Human Review of AI-Generated Clinical Notes Still Matter?

10/22/2026

💡 Did You Know? The Medicare FQHC 3-Year Rule Can Impact Your Reimbursement.

For Federally Qualified Health Centers (FQHCs), a patient’s visit history matters!

Under Medicare’s FQHC Prospective Payment System (PPS), a patient may qualify as a new patient if they haven’t received any Medicare-covered professional health services from the FQHC organization within the previous three years.

Why does this matter? Eligible new-patient visits may qualify for a 1.3416 PPS payment adjustment - making accurate patient history review and coding essential for appropriate reimbursement.

✅ Verify the patient’s service history across your FQHC organization.
✅ Apply the correct new-patient classification.
✅ Ensure claims reflect the applicable Medicare billing requirements.

Small details can make a meaningful difference in your revenue cycle.

👉 Read our blog to understand the Medicare FQHC 3-Year Rule and what it means for your health center:

https://www.nivaran.ai/blog/medicare-fqhc-3-year-rule

FQHC 3-year rule explained: how Medicare decides new vs established patients, G0466-G0470 codes, same-day medical and mental health visits, and common mistakes.

10/22/2026

💡 Did You Know?

The fastest AI medical scribe isn't always the most effective.

While AI can generate clinical notes in seconds, many providers still spend valuable time reviewing and correcting them before they're ready for the EHR.

Research suggests AI scribes can improve efficiency, but human oversight remains important to ensure documentation is accurate, complete, and clinically appropriate.

That's why many healthcare organizations are adopting a hybrid AI medical scribe approach - combining AI-powered documentation with expert human review to improve note quality while reducing physician workload.

📖 Learn how hybrid AI medical scribes are transforming clinical documentation:

https://www.nivaran.ai/blog/what-is-a-hybrid-ai-medical-scribe---and-why-it-works-well-in-complex-specialties/

A hybrid AI medical scribe pairs real-time ambient AI scribing with a professional trained human scribe who reviews the note before it reaches the physician – combining AI speed with human clinical judgment.

10/19/2026

💡 Did You Know?

Doctors can spend less time on clinical documentation and more time focusing on their patients with AI medical scribing.

AI medical scribes can help turn doctor-patient conversations into structured clinical notes, reducing manual documentation and helping streamline clinical workflows.

✅ Less time spent charting
✅ Faster clinical documentation
✅ More time for meaningful patient interactions

With ScribeRyte AI, clinicians can simplify documentation and focus more on what matters most: patient care.

🔗 Learn how AI medical scribing can support doctors: https://scriberyte.ai/resources/articles/medical-ai-for-doctors

AI Medical Scribe Software that automates clinical documentation, improves provider efficiency, and reduces provider burnout.

10/16/2026

Clinical Documentation Improvement: Why Wait Until After the Encounter?

AI is changing how healthcare organizations approach Clinical Documentation Improvement (CDI). But the real opportunity lies not just in reviewing records retrospectively, but in identifying documentation gaps closer to the point of care.

A more proactive, real-time CDI strategy can help healthcare organizations:

🔹 Identify documentation gaps earlier
🔹 Support more complete and accurate clinical records
🔹 Strengthen medical coding accuracy
🔹 Reduce downstream rework and support appropriate reimbursement

The goal isn't simply to find gaps after the fact. It's to help prevent them before they become bigger operational challenges.

As AI becomes more integrated into clinical workflows, combining intelligent technology with human expertise will be key to building a more effective, sustainable CDI process.

At Nivaran, we believe better documentation is the foundation for better coding and a healthier revenue cycle.

Read more from Medical Economics:

https://lnkd.in/eqTZpViD

This link will take you to a page that’s not on LinkedIn

10/12/2026

📢 FQHCs & RHCs: Medicare Telehealth Billing Has Changed!

Did your team prepare for the October 1, 2026, billing changes?

Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) must now report applicable Medicare telehealth services using the specific CPT or HCPCS code that describes the service provided, instead of relying on G2025.

What should your team review?
✅ Service-specific coding: Ensure the reported code accurately reflects the service provided.
✅ Telehealth modifiers: Understand when modifier 93 (audio-only) or modifier 95 (audio-video) applies.
✅ Documentation alignment: Ensure provider documentation supports the selected code.
✅ Billing workflow readiness: Update coding guidelines, staff training, and claim edits to support accurate claim submission.

These changes make coordination between providers, medical coders, and billing teams more important than ever.

At Nivaran, we support healthcare organizations with medical coding, documentation, and revenue cycle solutions to help navigate evolving billing requirements.

📖 Read our blog for the key changes and practical preparation steps:
https://www.nivaran.ai/blog/medicare-telehealth-billing-changes-for-fqhcs-and-rhcs

10/12/2026

📢 Introducing a More Connected Approach to Healthcare Operations

From scheduling appointments to completing clinical documentation, coding claims, and managing collections - every step in the patient journey matters.

Yet, when these workflows are managed across multiple vendors, handoffs can create delays, additional administrative work, and operational bottlenecks.

At Nivaran, we’re bringing these essential workflows together through our One Team approach.

Our integrated support connects:
🔹 Patient Access – Scheduling, insurance verification, prior authorizations, and patient call support
🔹 Clinical Documentation – Professional medical scribing, AI-powered documentation, and AI with professional review
🔹 Medical Coding & Revenue Cycle Management – Coding, claim submission, denial management, payment posting, and collections

Combining AI-enabled technology with experienced healthcare professionals, Nivaran helps practices coordinate workflows, reduce administrative friction, and keep work moving - from appointment to payment.

One connected workflow. One accountable partner.
Read the announcement to learn more: https://apnews.com/press-release/ein-presswire-newsmatics/press-release-0bf594d5b95df5ec3791b621bbc25694

10/08/2026

Did you know? 👇

For FQHCs, accurate medical coding is about more than getting the claim out the door.

E/M level selection, complete diagnosis capture, and documentation-based coding can have a broader financial and operational impact than many health centers realize.

Here are 4 common FQHC coding myths worth challenging:
❌ “Reimbursement is a flat rate, so E/M level selection doesn’t matter.”
❌ “Chart review alone is enough.”
❌ “The EHR automatically assigns the correct E/M level.”
❌ “Capturing chronic conditions at every visit takes too much time.”

The reality? Coding sits at the intersection of revenue integrity, compliance, quality reporting, risk adjustment, and operational performance.

For FQHCs, a stronger coding process can help identify documentation gaps, reduce revenue leakage, support medical necessity, and strengthen the data used for quality and supplemental funding programs.

Read the full article: https://www.nivaran.ai/blog/fqhc-coding-and-reimbursement

FQHC coding and reimbursement rules differ by state, payer, plan, and contract. Learn how Traditional Medicare, Medicare Advantage, and Medicaid can all differ.

10/05/2026

Physicians deserve AI that works with them - not instead of them.

In this video, we explore how Human-in-the-Loop (HITL) AI documentation combines the speed of artificial intelligence with the accuracy of expert human review to create reliable, compliant, and high-quality clinical documentation.

Discover how this hybrid approach helps healthcare organizations:
✔ Improve documentation accuracy
✔ Reduce physician burnout
✔ Minimize documentation errors
✔ Enhance coding and reimbursement
✔ Maintain HIPAA-compliant clinical workflows
✔ Deliver better patient care

Learn why Human-in-the-Loop AI is becoming the preferred choice for healthcare providers seeking smarter, safer, and more efficient medical documentation - https://youtu.be/15B_PudL7G0

Contact us today - https://www.nivaran.ai/get-started

**ScribeEMR and CodeEMR are now Nivaran™. Same company. Expanded ca...

10/01/2026

A few glimpses from Pri-Med Atlanta 2026! 📸

It was great connecting with primary care clinicians and healthcare professionals in Atlanta and sharing how **Nivaran’s Documentation, Coding & Revenue Cycle Solutions** can support more efficient healthcare operations.

Thank you to everyone who stopped by and connected with the Nivaran team!

Know more - https://www.nivaran.ai/get-started