Urgent care is built for volume — undifferentiated complaints, minor procedures, and back-to-back episodic visits, often with a packed waiting room and a clock that never stops. A single shift can swing from a laceration repair to a febrile child to an occupational-health screening, each one needing a complete note, accurate codes, and clear discharge instructions before the next patient is roomed. LucasAI is an ambient AI clinical platform, built by clinicians, designed to take that documentation load off high-throughput walk-in care so the note is ready as you leave the room — not piling up at the end of a long shift.
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 urgent care actually runs on. Here is how it fits the realities of high-volume acute care.
Why urgent care needs more than a scribe
Urgent care lives and dies by turnover. Every minute a clinician spends typing is a minute the waiting room grows, and the documentation tail — finishing notes, leveling the visit, coding procedures, arranging results callbacks — tends to compress into the gaps between patients or spill past the end of a shift. The note is only part of the work: each visit also has to be coded correctly, procedures have to be captured, return precautions and discharge instructions have to be clear, and the occasional prior authorization still has to be assembled.
Two pressures make this especially acute in urgent care:
- High-throughput, undifferentiated visits. Patients arrive without a problem list, and the complaint is whatever walks through the door next. Documenting a wide, unpredictable range of acute presentations accurately — at the pace a busy clinic demands — is hard to sustain by hand across a full shift.
- Procedure and E&M revenue left on the table. Minor procedures like laceration repair, incision and drainage, and splinting, plus the true complexity of a visit, are commonly under-documented and under-coded — which both lowers legitimate reimbursement and invites denials when the documentation does not support the claim.
LucasAI is built to address the whole loop — documentation, coding, outreach, and authorization — rather than just the note, so your team keeps moving without leaving revenue or follow-ups behind.
How LucasAI helps urgent care
Ambient scribe that keeps the line moving
LucasAI listens to the encounter and builds a structured clinical note as you talk, so the draft is largely ready for your review by the time you leave the room rather than after a separate processing step. In high-volume urgent care, that means the chart is closing as fast as you can see patients — you review and finalize instead of writing from scratch, and notes stop stacking up for the end of the shift. Because it is built for the way acute care actually sounds, it also handles multilingual and blended, code-switched speech, useful in the many walk-in clinics that serve diverse 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 urgent care, this is where procedure revenue often hides — laceration repair, incision and drainage (I&D), splinting, and other minor procedures — alongside the E/M level for the visit itself. Surfacing the right codes and the gaps in real time helps you bill the work you actually did and reduce avoidable rework. All suggestions are reviewed by you or your billing team before submission.
Undifferentiated complaints, point-of-care testing, and return precautions
Urgent care visits rarely arrive with a tidy problem list. LucasAI is designed to organize an undifferentiated encounter into a structured note that captures the history, exam, point-of-care testing and X-ray interpretation, and the assessment and plan — including clear return precautions and discharge instructions. That keeps the chart defensible for a medico-legal record built around acute, episodic care, and helps make sure the patient leaves knowing exactly when to come back.
EmilyAI patient outreach for follow-ups and results
EmilyAI is LucasAI's automated patient outreach. It can reach patients after a visit to deliver results callbacks, confirm a test came back, and coordinate follow-up referrals to primary care or specialists when an acute issue needs ongoing management — then update the chart. That offloads the results-and-callback work that normally falls on already-stretched front-desk and clinical staff between waves of walk-ins.
Walk-in workflows and EMR integration
LucasAI supports the outpatient, walk-in workflows of an urgent care clinic, and also offers inpatient tooling for clinicians who work across settings. 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. Prior-authorization support compiles the documentation payers ask for, from billing codes to supporting clinical detail, and the same workflows handle occupational-health visits and other walk-in encounter types.
What you get
- Real-time ambient scribe — a structured note drafted as you talk, ready for review before the next patient is roomed.
- Built-in medical coding — CPT, CPT II, ICD-10, and E&M leveling suggested in real time, with documentation-gap flags.
- Procedure and acute-visit capture — laceration repair, I&D, splinting, point-of-care testing, and X-ray interpretation reflected in the note and coding.
- EmilyAI patient outreach — automated results callbacks and follow-up referral coordination after the visit.
- Prior-authorization support — supporting documentation compiled automatically.
- EMR integration — works with web-based EMRs via a Chrome extension, deployable in days.
- Walk-in and broader outpatient/inpatient coverage — for clinicians and groups who work across walk-in, outpatient, and hospital 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
“On a busy shift I used to leave with a stack of half-finished charts. With LucasAI the note is essentially done as I walk out of the room, and it catches the procedure codes I used to miss on laceration repairs and I and D.”
See LucasAI in your own urgent care
Experience the ambient scribe, real-time coding, and patient outreach built for high-volume walk-in care.
Start Free Trial →Frequently asked questions
How does an ambient AI scribe help high-volume urgent care?
An ambient AI scribe listens to the encounter and drafts a structured note in real time, so it is largely ready for review by the time you leave the room. In high-volume urgent care, that keeps the line moving because the chart closes as fast as you can see patients, instead of stacking up between walk-ins or piling onto the end of a shift. LucasAI builds the note as you talk and is designed for the undifferentiated, episodic nature of acute visits.
Can LucasAI code minor procedures and E/M levels for urgent care?
Yes. As the visit is documented, LucasAI's coding suggests CPT, CPT II, and ICD-10 codes along with E&M service levels. For urgent care it can help capture minor procedures such as laceration repair, incision and drainage, and splinting that are commonly under-coded, and it surfaces documentation gaps so the note supports the level billed. All code suggestions should be reviewed by the clinician or billing team before submission.
How much faster can my team document with LucasAI?
Because LucasAI drafts the note as you talk, the documentation is largely complete by the time you leave the room rather than after a separate processing step. In practice that shifts the work from writing notes to reviewing and finalizing them, which helps a busy clinic improve throughput and reduce charts left open at the end of a shift. Actual time savings depend on your visit mix, EMR, and how your team works.
How can AI coding help reduce denials in urgent care?
Many denials stem from documentation that does not support the code submitted or from missing detail on procedures and visit complexity. 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 results and follow-ups?
EmilyAI is LucasAI's automated patient outreach. It can contact patients after a visit to deliver results callbacks, confirm test outcomes, and coordinate follow-up referrals to primary care or specialists, then update the chart. In urgent care, this offloads the results-and-callback work that otherwise falls on front-desk and clinical staff between waves of walk-in patients.
Does LucasAI work with my EMR, and how long does it take to deploy?
LucasAI supports the outpatient and walk-in workflows typical of urgent care, and also offers inpatient tooling for clinicians who work across settings. It integrates with web-based EMRs through a Chrome extension with structured data mapping, designed to deploy in days without a long API or IT project. That makes it practical for a busy clinic to get started without a months-long rollout.
How much does LucasAI cost for an urgent care clinic?
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 for your clinic. See the pricing page for details.
Related specialties
Explore how LucasAI supports adjacent fields:
Board-certified emergency physician and toxicologist focused on underserved and rural healthcare, and passionate about building tools that give clinicians their time back. Meet the LucasAI team →
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.