AI Software for Addiction Medicine
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AI Software for Addiction Medicine from Unlimited Systems reads counseling notes and drafts the H-codes and units they support. It also predicts which drug testing claims are likely to deny before they go out. Addiction treatment is paid by Medicaid plans, state programs, carve-out vendors, and commercial insurers, often for the same patient. Unlimited AI runs the routine checks across all of them. Your staff can then spend their time keeping patients in treatment.
The Practical Side of AI for Specialty Practices
Avoid the pitfalls, cut through the noise, and put AI to work on everyday challenges. With Johnathon Trout (JT), Director of Product Management.
AI Built Around the Realities of Addiction Medicine
A single patient in recovery may have a weekly counseling session, a group, a monthly injection, and urine drug tests, each billed to a different payer. Medicaid and state programs often pay with H-codes that differ from the CPT codes a commercial plan expects. Drug testing has its own frequency rules and medical necessity limits. Consent rules for substance use records add another layer. AI helps by reading what was documented and matching it to the rules of the payer that holds each benefit.
- Many Medicaid plans and state programs bill counseling with HCPCS H-codes, such as H0004 for individual sessions and H0005 for group sessions. Code sets and unit rules vary by state.
- Presumptive drug screens bill under 80305 to 80307. For Medicare, definitive tests bill under G0480 to G0483 by the number of drug classes tested.
- Payers limit how often drug tests can be billed. A definitive test also needs a documented reason in the note.
- Extended-release buprenorphine injections use the dose-specific codes Q9991 and Q9992. Extended-release naltrexone bills under J2315 per milligram.
- Behavioral health benefits are often carved out to a separate vendor with its own eligibility, approval, and claims rules.
- Substance use disorder records covered by 42 CFR Part 2 carry consent rules that go beyond HIPAA. Disclosures for billing must follow what the patient agreed to.
Where AI Can Improve Addiction Medicine Operations
- Problem
- Counseling notes record session type, minutes, and attendees, but each state program wants its own H-code and unit count. Billers convert every note by hand.
- Automation + Intelligence
- Unlimited AI reads the counseling note and drafts the H-code and units under the payer's code set, such as H0004 in time units or H0005 for a group. Each code links to the note text behind it. Notes with unclear time or group size go to a coder.
- Human Benefit
- Billers check a cited draft instead of counting minutes in every note.
- Business Benefit
- Counseling claims match the payer's code set, so fewer come back for the wrong code or unit.
- Problem
- Drug testing claims deny when tests exceed the payer's frequency limit or when a definitive test has no documented reason. The denial often arrives after many more tests were billed the same way.
- Automation + Intelligence
- Each test claim is scored for denial risk before it leaves. The score draws on payer policy, the patient's recent testing history, and the practice's own remits. Definitive tests without a stated reason in the note are held for review.
- Human Benefit
- Lab billing staff review the few test claims at risk, not every screen.
- Business Benefit
- Fewer drug testing denials repeat across a patient panel.
- Problem
- Long-acting injections need prior approval, the right benefit channel, and units that match the dose. One error can deny a costly drug line.
- Automation + Intelligence
- AI prior authorization checks each injection order against payer rules and pulls the treatment history payers ask for from the chart. At billing, Q9991 or Q9992 is matched to the documented dose, and J2315 units are set from the milligrams given. Renewal dates are tracked as treatment continues.
- Human Benefit
- Nurses and front-desk staff know an injection is cleared before the patient arrives.
- Business Benefit
- Injection revenue is protected from approval gaps and unit errors.
- Problem
- Intensive outpatient programs often bill by the day under a per diem code such as H0015. Days delivered past the authorized count go unpaid.
- Automation + Intelligence
- Authorized program days are tracked against each patient's attendance. Staff get an alert as the count runs low, so a renewal request goes out with the progress notes the payer wants. Claims are checked against the approval on file before submission.
- Human Benefit
- Program coordinators stop counting days on a spreadsheet.
- Business Benefit
- Program days stay covered, and fewer per diem claims deny for a missing approval.
- Problem
- Medicare's office-based opioid use disorder codes, G2086 to G2088, are monthly bundles built on counted minutes. Time logged across several visits is easy to undercount.
- Automation + Intelligence
- Minutes recorded for counseling, care coordination, and medication management are totaled for the calendar month. The draft claim shows which code the total supports and cites each visit that adds to it. Months that fall short are flagged before the month closes.
- Human Benefit
- Clinicians see the month's total without adding up notes.
- Business Benefit
- Earned monthly bundles are billed, and short months are not billed on a guess.
- Problem
- One patient's care can be split across Medicaid managed care, a carve-out vendor, a state grant, and a sliding fee. A date-sorted AR list hides which claims are closest to a short filing limit.
- Automation + Intelligence
- Open claims are sorted by dollars at risk and each payer's filing limit. Grant and state program balances are tracked against their funding source. Denials are grouped by cause, so one setup fix clears many claims.
- Human Benefit
- Billing staff start the day with the claims that cannot wait.
- Business Benefit
- Fewer claims age past filing limits, and program funds are easier to account for.
The Evolution of Intelligence in Addiction Medicine
Eligibility runs on its own for every booked counseling, dosing, and testing visit. It covers Medicaid plans, carve-out vendors, and commercial plans alike.
Counseling notes without clear minutes, drug tests past a frequency limit, and injections without a current approval are flagged before billing.
Claims near a short Medicaid filing limit and high-cost injection lines move ahead of routine counseling balances.
Each flagged claim names the fix, such as the missing session time, the test reason the payer wants, or the approval to renew.
Emerging capability: renewal requests for patients stable on long-acting injections could be sent on their own once the chart is complete. The architecture allows for it, but it is not a live feature today.
Work by Exception for Addiction Medicine
A Medicare patient has a definitive drug test coded G0481. The note gives no reason for going past the presumptive screen, and a screen was already billed earlier in the week.
Unlimited AI holds only that test claim and sends it to a biller with the missing reason noted. The day's counseling, dosing, and screening claims keep moving without a manual review.
AI Handles the Billing Rules. Your Team Keeps Patients in Recovery.
Recovery depends on trust, steady contact, and quick follow-up after a missed visit. Counselors and nurses should spend their hours there. They should not be decoding a state H-code list or checking test frequency rules. Automation takes on those checks. Any claim the system is unsure about still goes to a person who knows the patient's program and payer.
AI Across the Addiction Medicine Revenue Cycle
Why Unlimited Systems for Addiction Medicine
- Medicaid and state program H-codes are handled alongside CPT codes, with units drafted from documented time.
- Drug testing claims are checked against payer frequency rules and the patient's testing history before submission.
- Long-acting injection approvals, doses, and units are tracked from order through claim.
- Funding sources such as grants and sliding fees are tracked apart from insurance balances.
- Consents for substance use records are captured in structured form at intake, so billing follows what the patient allowed.
Frequently Asked Questions About AI for Addiction Medicine
AI software for addiction medicine applies automation and machine learning to the billing work behind counseling, medication treatment, and drug testing. Unlimited AI drafts H-codes and CPT codes from counseling notes. It predicts which drug tests are likely to deny and tracks approvals for injections and program days. Routine claims move on without a manual touch. Staff review only the visits with a real gap in documentation, coverage, or approval.
Unlimited AI reads the counseling note for session type, minutes, and whether it was a group. It then drafts the H-code and units under the payer's code set, such as H0004 for individual counseling in time units or H0005 for group counseling. Each code is tied to the passage that supports it. When minutes or group details are missing, the draft goes to a coder instead of a claim.
Drug testing denials tend to follow a pattern: too many tests for the payer's limit, or a definitive test with no reason in the note. The platform checks each test claim against payer policy and the patient's recent testing before it goes out. It also learns from the practice's own remits. Claims at risk are held with the likely cause, so a biller can fix them first.
Presumptive screens bill under CPT 80305, 80306, or 80307, based on the method used. For Medicare, definitive tests bill under G0480 to G0483, based on how many drug classes were tested. Commercial and Medicaid plans may use CPT 80320 to 80377 or their own rules instead. The platform applies each payer's code set and checks that the note supports the testing ordered.
AI prior authorization checks each long-acting buprenorphine or naltrexone order against the payer's rules before the visit is booked. It pulls the treatment history payers ask for from the chart. The platform also confirms whether the drug falls under the medical or pharmacy benefit for that plan. Approved doses and renewal dates are then tracked, and staff are alerted before an approval runs out.
Many plans assign substance use and mental health benefits to a separate vendor. Unlimited Systems looks for that vendor during eligibility checks, before the first counseling visit. Approval requests and claims then go to the vendor that holds the benefit. Lab tests or office visits that stay with the medical plan are billed there. Any denial citing the wrong payer is routed to the staff who manage carve-out setup.
Substance use disorder records carry extra protection under 42 CFR Part 2, so privacy comes first. Unlimited AI processes data on a private model instance audited under SOC 2 Type II. Patient data is not kept to train the model. Consents are recorded in structured form at intake, and every drafted code cites the note text behind it, so reviewers can see why it was chosen.
AI does not replace billing staff in an addiction medicine practice. It takes the repeat work: drafting codes, running eligibility, checking test limits, and sorting denials by value and deadline. Staff keep the work that needs judgment, such as appeals, calls with state programs, and sliding fee questions. Claims the system is unsure about are held for a person instead of being sent.
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See What AI Can Do for Your Addiction Medicine Practice
AI Software for Addiction Medicine from Unlimited Systems reads counseling notes and drafts the H-codes and units they support. It also predicts which drug testing claims are likely to deny before they go out. Addiction treatment is paid by Medicaid plans, state programs, carve-out vendors, and commercial insurers, often for the same patient. Unlimited AI runs the routine checks across all of them. Your staff can then spend their time keeping patients in treatment.
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