App-Nea

10/15/2026

Not every sleep apnea appointment needs a trip to the office.

Some visits work well over video. These include talking through your symptoms, reviewing sleep study results after your physician's diagnosis, and checking in on how your oral appliance feels in the first few weeks. Virtual dental consultations like these can save you time and travel.

Other visits still need you in the chair, such as exams, impressions, fittings and adjustments made by your dentist.

Curious which of your sleep apnea care appointments could happen online? Our latest blog explains it.

Read more → https://appnea.ai/blogs/teledentistry-for-sleep-apnea-which-visits-can-go-virtual/

Consultations, results reviews, consent, check-ins, and physician co-management work by video. Examination, scanning, and delivery do not. A visit-by-visit…

10/12/2026

Still handing sleep patients a clipboard in the waiting room? 📋
There's an easier way. With digital intake forms, patients fill everything out on their own phone or computer before they ever walk in.

For patients: a mobile-friendly form, only the questions that apply to them, and the option to save and finish later.
For your team: no retyping, questionnaire scores calculated automatically, and benefits verified before the appointment.
It's not the flashiest upgrade, but it speeds up every step that follows.

Check out our new blog to see what a great sleep intake form looks like! 👇
Read More:
https://appnea.ai/blogs/digital-patient-intake-forms-for-a-dental-sleep-practice/

Why paper intake fails for sleep cases, what a digital sleep intake should capture, the features that get patients to finish forms before the visit, and how…

10/07/2026

Same patient. Same appliance. A very different bill in January than in October.

Sleep apnea oral appliances are billed to medical insurance, not dental. That means deductibles that reset, prior authorizations, and different network rules.

"Is the insurance active?" is just the first question.
Read more 👉 https://appnea.ai/blogs/dental-insurance-verification-software-for-medical-benefits/

09/30/2026

Patient volume alone doesn’t tell the whole story. Monthly metrics can help practices understand their conversion rates, treatment progress, revenue cycle, and operational performance making it easier to identify bottlenecks and plan for sustainable growth.

Which five numbers should every dental sleep practice review each month?

Our latest blog breaks down the key metrics and why they matter.

👉 Read more: https://appnea.ai/blogs/five-numbers-every-dental-sleep-practice-should-watch-monthly/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/29/2026

For dental and healthcare practices, using AI for images and clinical workflows requires more than choosing a convenient tool.

Providers should understand how patient photos and protected health information (PHI) are handled, whether a Business Associate Agreement (BAA) is required, and what the tool’s data-use and privacy policies allow.

What should practices verify before using AI with patient images?

Our latest blog explores the key BAA and PHI questions healthcare teams should ask.

👉 Read more: https://appnea.ai/blogs/before-you-upload-a-patient-photo-to-an-ai-tool-the-baa-and-phi-questions-to-ask/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/28/2026

Finding the right fit and advancement level is an important part of oral appliance therapy.

Titration data can offer valuable insight into early treatment response, but understanding its relationship to long-term efficacy requires careful monitoring over time.

What can seven years of MAD fitting and titration data reveal about first-night efficacy? Our latest blog explores the findings and their implications for dental sleep medicine practices.

👉 Read more: https://appnea.ai/blogs/mad-fit-seven-years-on-what-titration-data-says-about-first-night-efficacy/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/25/2026

Regular clinical evaluation and consistent documentation can help providers identify changes early and make informed decisions about ongoing treatment.

How should dental sleep practices monitor and document occlusal changes over the course of oral appliance therapy?

Our latest blog explores a five-year case and practical considerations for long-term follow-up.

👉 Read more: https://appnea.ai/blogs/five-year-occlusal-change-with-oral-appliance-therapy-monitoring-and-documenting-it/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/24/2026

The hygiene recall may be more than a routine dental visit—it can be an opportunity to identify pediatric airway concerns.

Children may show signs of sleep-disordered breathing through changes in breathing, sleep quality, behavior, growth, or oral development.

Our latest blog outlines a practical protocol for screening, documentation, and appropriate referral.

👉 Read more: https://appnea.ai/blogs/pediatric-airway-screening-at-the-hygiene-recall-a-protocol/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/24/2026

Not every patient who struggles with an oral appliance is simply non-compliant.

For patients with co-morbid insomnia and obstructive sleep apnea (COMISA), difficulty falling asleep or staying asleep can make it harder to adapt to OSA treatment.

Our latest blog explores COMISA, the signs providers should watch for, and why identifying the underlying issue matters.

👉 Read more: https://appnea.ai/blogs/comisa-when-oral-appliance-non-compliance-is-actually-untreated-insomnia/

APP-NEA uses deep machine learning for improved sleep apnea treatment

09/21/2026

A patient walks into your practice with a smartwatch screenshot showing possible signs of sleep apnea. What should happen next?

Consumer wearables can provide useful insights into sleep patterns and may encourage patients to seek evaluation, but they are not a substitute for clinical diagnosis.

Our latest blog explores how providers can approach smartwatch-generated sleep apnea data, what questions to ask, and how to guide patients toward appropriate clinical evaluation.

👉 Read more: https://appnea.ai/blogs/the-patient-who-walks-in-with-a-smartwatch-sleep-apnea-screenshot/

APP-NEA uses deep machine learning for improved sleep apnea treatment