Medical practices
AI automation agency for medical practices
We build AI automation for medical practices and outpatient clinics that are buried in faxed referrals, eligibility checks, prior authorizations and phone queues. The goal is simple: fewer clicks for your front desk and billing team, cleaner data in your EHR, and every vendor that touches PHI covered by a business associate agreement.
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Quick answer
How can AI automation help a medical practice?
AI automation helps medical practices by reading referral faxes into the EHR, checking next-day insurance eligibility through the clearinghouse, and tracking prior authorizations in athenahealth, eClinicalWorks, Tebra or NextGen. It can also route ERA denials to billers and answer after-hours calls. Every vendor that touches PHI must sign a business associate agreement first.
- Most practices have a re-keying problem between the EHR, clearinghouse and phones, not a technology problem
- Next-day eligibility checks flag inactive coverage before patients arrive at the front desk
- Denials and partial payments are grouped by reason code and routed to the right biller
- Where a tool will not sign a BAA, the PHI step moves to self-hosted n8n or similar
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Where time goes in a medical practice
Most independent practices and small groups do not have a technology problem so much as a re-keying problem. The EHR is solid, the clearinghouse works, the phone system works, but staff spend the day moving information between them by hand.
When we review a practice, the same front office and revenue cycle tasks show up again and again:
- Referral faxes landing in an eFax inbox that someone has to read, index to a chart and turn into an appointment request
- Insurance eligibility verification for tomorrow's schedule, often done payer portal by payer portal in Availity or directly on the payer site
- Prior authorization status checks, follow-up calls and resubmissions when clinical notes are missing
- Patient intake: demographics, insurance card images and history forms re-typed from paper or a PDF
- Refill requests, records requests and portal messages that need routing to the right provider or nurse pool
- Denials and ERA exceptions that pile up because nobody has time to work the queue every day
02
HIPAA-conscious automation and BAAs
Any workflow that touches protected health information needs a vendor that will sign a business associate agreement for the plan you actually use. Before we design anything, we list every system the data will pass through and confirm BAA coverage for each one. Where a tool will not sign, PHI does not go through it, and we redesign the step (for example, with self-hosted n8n on your own cloud account, or Google Workspace and Microsoft 365 configured under their BAA terms).
We also apply the minimum necessary idea in practice: an automation that books an appointment does not need the full chart, and an AI step that classifies a fax does not need to store it. Access is role-based, logs are kept, and you own every account. This is careful engineering, not legal advice, so your compliance officer or counsel should still sign off on the final design.
WHAT WE BUILD
What we automate for medical practices
Typical automations, each scoped and quoted at a fixed price after a free review.
Referral fax intake
When a fax arrives in your eFax inbox, an AI step reads it, extracts patient, referring provider and reason for referral, matches or flags the patient in the EHR, and queues a draft referral for staff approval.
Next-day eligibility checks
Each afternoon, tomorrow's schedule is pulled from the practice management system and checked against the clearinghouse, with inactive coverage or high deductibles flagged for the front desk before patients arrive.
Prior authorization tracker
New orders that need authorization create a tracked item with payer, due date and required documents, and the tracker sends reminders and drafts follow-up notes until the status is approved or denied.
Digital intake to chart
Secure intake form answers and insurance card images are parsed and written to the correct demographic and insurance fields, removing manual re-typing at check-in.
Appointment reminders and recalls
Reminder and recall messages go out through your patient communication platform based on visit type, with replies like confirm or reschedule written back to the schedule. Messaging follows your consent and TCPA policies.
Denial and ERA exception queue
ERA files are scanned for denials and partial payments, grouped by reason code, and routed to the right biller with the claim details attached.
After-hours voice agent
An AI voice agent answers after-hours calls, handles scheduling and refill requests, and escalates anything urgent to your on-call process.
03
AI agents for medical practices
AI agents are useful in a clinic when the input is messy and the output is structured. A referral fax with a cover sheet, a face sheet and three pages of notes can be read by a model, matched to an existing patient or flagged as new, and turned into a draft referral record for a human to approve.
We keep a person in the loop for anything clinical or financial. An agent can draft a prior authorization packet, pull the relevant note and fill the payer form, but your staff reviews and submits it. An AI voice agent can answer after-hours calls, confirm or reschedule appointments and take refill requests, but it hands anything urgent to your on-call process and never gives medical advice.
04
Tools we connect for clinics
We work with the EHR and practice management system you already have. athenahealth, eClinicalWorks, NextGen, ModMed and DrChrono offer APIs or integration programs with varying access, while Tebra (formerly Kareo) and others may need a mix of API calls, report exports and HL7 or FHIR feeds. We tell you in the review what is realistic for your system and your contract.
Around the EHR we connect clearinghouses such as Availity and Waystar, intake tools like Phreesia or simple secure forms, patient communication platforms like Weave or RingCentral, eFax services, and Google Workspace or Microsoft 365 for internal routing. Reporting usually lands in Power BI or Looker Studio, so managers see referral volume, no-shows and AR aging in one place.
05
Results from a similar healthcare project
One of our case studies is a therapy services provider whose clinicians were spending 10 to 15 minutes a day on data entry. We built an AppSheet portal that cut that to under 3 minutes a day. The same approach often fits clinics that want a simple internal app for visit logs or care coordination.
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How a medical practice automation project works
We start with a free review. You walk us through one or two workflows that hurt the most, we look at your EHR, phone and fax setup, and we map where data enters and where it is re-typed. You get a written scope with a fixed price, a timeline and a list of the BAAs required.
We then build in stages. A first stage is usually a single workflow, such as referral intake or next-day eligibility checks, running in parallel with your current process so your team can compare. Once it is trusted, we switch it on and move to the next workflow. Documentation and admin access stay with you.
07
What medical practice automation costs
Every project is quoted at a fixed price after the free review, so you know the cost before work starts. A single focused workflow typically takes 1 to 3 weeks. A multi-step project, such as referral intake plus prior authorization tracking plus a reporting dashboard, typically runs 4 to 8 weeks.
Ongoing costs are the software subscriptions you choose (in your name) and an optional support plan. If a feature in your EHR already does the job, we will say so.
TOOLS
Tools we connect
FAQ
AI automation for Medical Practices questions
Is AI automation HIPAA compliant for a medical practice?
Automation can be built in a HIPAA-conscious way when every vendor that handles PHI signs a business associate agreement and access is limited to what each step needs. We list each system and its BAA status in the scope. Your compliance lead or counsel should approve the final design.
Can you integrate with athenahealth or eClinicalWorks?
Both offer integration options, though access depends on your contract and the specific data you need. We confirm what is available for your account during the free review and plan around it, using report exports or HL7 feeds where an API is not available.
Can AI handle prior authorizations?
AI can help gather documents, fill payer forms and track status, which removes much of the clerical work. A staff member still reviews and submits each request, since medical necessity decisions should stay with your clinical team.
Will an AI receptionist replace my front desk?
No. An AI voice agent typically handles overflow and after-hours calls such as scheduling, confirmations and refill requests, so your front desk can focus on patients in the office. Urgent or clinical calls are escalated to people.
How long does medical practice automation take?
A single workflow, such as referral intake, typically takes 1 to 3 weeks. Larger projects with several workflows and a dashboard typically take 4 to 8 weeks, delivered in stages.
Do we own the automations you build?
Yes. Accounts, workflows, code and documentation are set up in your name. If you stop working with us, everything keeps running and your team or another vendor can maintain it.
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GET A FREE PROPOSAL
Tell us what you want automated
Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
- Free 30-minute automation review
- Fixed quote before any work starts
- You own every workflow, account and line of code