Telehealth has reshaped how patients reach care — but the documentation, coding, and follow-up burden behind every virtual visit is just as real as it is in the clinic. A video encounter can move quickly, cover acute and chronic concerns, and end the moment the call drops, leaving the note to be reconstructed from memory. LucasAI is an ambient AI clinical platform, built by clinicians, designed to capture the video visit as it happens so you can stay present on camera and finish your day on time.
Unlike a tool that only writes notes, LucasAI pairs a real-time ambient scribe with built-in medical coding, patient outreach, and prior-authorization support — the workflows virtual care actually runs on. Because so much telehealth lives in the browser, LucasAI is designed to fit right alongside your video and EMR tabs. Here is how it fits the realities of virtual care.
Why telehealth needs more than a scribe
Virtual visits remove the exam room, but they do not remove the paperwork. Every telehealth encounter still has to be documented accurately, coded correctly, and followed up on — and in a video setting there is no scribe in the room and little time to chart between back-to-back calls. The note often gets rebuilt after hours, which is a well-recognized driver of clinician burnout, and the modality itself adds documentation requirements that an in-person visit does not.
Two pressures make this especially acute in telehealth.
- Documentation of the visit itself. Telehealth notes carry expectations a clinic note does not — recording the modality used, that the patient consented to a virtual visit, and where the patient was located. Capturing these details accurately, every time, at the pace of a virtual schedule is hard to sustain by hand.
- Coding that has to match the setting. Telehealth visits involve setting-specific considerations such as place-of-service and telehealth modifiers, and documentation that does not reflect the modality is a common source of denials. The exact codes and modifiers depend on payer and policy and should always be confirmed by the clinician or billing team.
LucasAI is built to address the whole loop — documentation, coding, outreach, and authorization — rather than just the note.
How LucasAI helps telehealth
Ambient scribe built for video visits
LucasAI listens to the virtual encounter and builds a structured clinical note as you talk, so the draft is largely ready for your review by the time the call ends rather than after a separate processing step. There is no third-party scribe in the room and no separate device to manage — it works alongside your video visit and drafts the note in real time. Because it is built for the way real visits sound, it also handles multilingual and blended, code-switched speech, which matters in the many telehealth practices that serve bilingual and remote communities.
Real-time E&M leveling and CPT/ICD-10 coding
As the visit is documented, LucasAI's coding suggests CPT, CPT II, and ICD-10 codes along with E&M service levels, and flags where documentation does not yet support the level of service. For telehealth there are setting-specific considerations — such as place-of-service and telehealth modifiers — where mismatched documentation drives denials. Surfacing the right codes and the gaps in real time helps you bill the work you actually did and reduce avoidable rework. All suggestions, including any telehealth modifiers, are reviewed by you or your billing team before submission.
Documentation of modality, consent, and remote care
Virtual visits carry their own documentation expectations: the modality used, the patient's consent to a telehealth encounter, and the context of asynchronous or follow-up care. LucasAI is designed to capture these details as part of the structured note so the chart reflects how the visit actually happened — supporting remote chronic-disease management and longitudinal virtual care without forcing you to remember and type each element by hand.
EmilyAI patient outreach for follow-ups and recalls
EmilyAI is LucasAI's automated patient outreach. It can reach patients before a virtual visit to help with pre-visit prep, and after the visit to coordinate the follow-ups, recalls, and care-gap closures that keep remote patients engaged between encounters — then update the chart. That offloads work that normally falls on already-stretched front-desk and clinical staff, and helps maintain continuity for patients who may rarely be seen in person.
Browser-based EMR integration
Most telehealth already happens in the browser, and LucasAI fits that workflow directly. It connects to web-based EMRs through a proprietary Chrome extension with structured data mapping — designed to deploy in days, with no months-long API or IT project. LucasAI supports outpatient and virtual workflows and also offers inpatient tooling for clinicians who work across settings, and its prior-authorization support compiles the documentation payers ask for, from billing codes to supporting clinical detail.
What you get
- Real-time ambient scribe — a structured note drafted as you talk during video visits, ready for review when the call ends.
- Built-in medical coding — CPT, CPT II, ICD-10, and E&M leveling suggested in real time, with documentation-gap flags.
- Modality and consent capture — virtual visit details documented as part of the structured note.
- EmilyAI patient outreach — automated pre-visit prep and post-visit follow-ups, recalls, and care-gap closures.
- Prior-authorization support — supporting documentation compiled automatically.
- EMR integration — works with web-based EMRs via a Chrome extension, deployable in days.
- Virtual and in-person coverage — supports telehealth and outpatient workflows, with inpatient tooling for clinicians who work across settings.
Want the full capability list? See all LucasAI features, dig into real-time medical coding, or compare plans on the pricing page. You can also browse the other specialties LucasAI supports.
What clinicians are saying
“Between video calls I never had time to chart, so my notes used to pile up until the evening. With LucasAI the note is essentially written by the time the call ends, and it captures the visit details I always used to forget.”
See LucasAI on your own telehealth visits
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Start Free Trial →Frequently asked questions
How does an ambient AI scribe work during a video visit?
An ambient AI scribe listens to the virtual encounter and drafts a structured clinical note in real time, so it is largely ready for review by the time the call ends. There is no third-party scribe in the room and no separate device to manage. LucasAI builds the note as you talk alongside your video visit, so you can stay present on camera instead of typing or reconstructing the note afterward.
Can LucasAI handle coding for telehealth visits?
Yes. LucasAI's coding suggests CPT, CPT II, and ICD-10 codes along with E&M service levels as the visit is documented, and it surfaces documentation gaps in real time. Telehealth involves setting-specific considerations such as place-of-service and telehealth modifiers, and the exact codes depend on payer and policy. All code suggestions should be reviewed by the clinician or billing team before submission.
Does LucasAI document the visit modality and patient consent?
LucasAI is designed to capture telehealth-specific details as part of the structured note, including the modality used and the patient's consent to a virtual visit. This helps the chart reflect how the encounter actually happened, which matters for both clinical clarity and coding. As with all AI-generated documentation, the clinician should review the note before finalizing it.
How can AI coding help reduce denials for telehealth?
Many denials stem from documentation that does not support the code submitted or that does not reflect the virtual setting and its modifiers. By suggesting codes in real time and flagging incomplete documentation, LucasAI helps clinicians align the note with the services rendered before the claim goes out, which can reduce avoidable denials and rework. Coding accuracy still depends on clinician review and your practice's billing processes.
What is EmilyAI and how does it help with virtual follow-ups and recalls?
EmilyAI is LucasAI's automated patient outreach. It can reach patients before a virtual visit to help with pre-visit prep and after the visit to coordinate follow-ups, recalls, and care-gap closures, then update the chart. For telehealth, this helps keep remote patients engaged and supports continuity for those who may rarely be seen in person.
Does LucasAI integrate with my EMR for browser-based telehealth, and how long does it take to deploy?
Most telehealth already runs in the browser, and LucasAI fits that workflow directly. It integrates with web-based EMRs through a proprietary Chrome extension with structured data mapping, designed to deploy in days without a long API or IT project. It supports virtual and outpatient workflows and also offers inpatient tooling for clinicians who work across settings.
How much does LucasAI cost for a telehealth practice?
LucasAI offers Premium at $99/month, Pro at $299/month, and Enterprise at $999/month, plus a free trial. The right plan depends on whether you need the scribe alone or also want coding, patient outreach, prior-authorization support, and team workflows. See the pricing page for details.
Related specialties
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This page is published by LucasAI for informational purposes. LucasAI supports clinical documentation, coding, and workflow but does not replace clinical judgment; all AI-generated notes and code suggestions should be reviewed by the clinician or billing team before use or submission. Product features and pricing change over time — verify current details at lucashealth.ai. LucasAI is a product of Lucas Health Corporation, Miami, FL.