We help occupational health providers speed up referrals, scheduling and draft reports, with clinician sign-off and clear separation between employer reporting and employee health data.
AI can take on admin around the clinician: reading referral forms, scheduling, tracking stalled cases, drafting reports for sign-off and preparing aggregate employer reports. The clinician owns every opinion and decides what the employer sees. Worker health data is sensitive in both the US and UK, so data separation and role-based access are designed first.
Employers buy fitness-for-work answers, but the clinician owes confidentiality for the health information. The ICO says employers need a lawful basis and a special-category condition to process worker health data, and that necessity and proportionality apply, so any AI tool that blurs the line between wellness and productivity data is a liability.
Management referrals arrive incomplete, appointments need matching to the right clinician and site, and reports wait for outside information. Workflow automation helps most with the chasing and tracking, not the clinical judgment.
The Society of Occupational Medicine's January 2026 guidance lists transcription, documentation, referrals, management plans, coding and decision support as areas for AI. It describes possible applications, not prevalence or proven benefit, and the clearest evidence for ambient documentation so far comes from clinics and hospitals.
HR, procurement, finance and sometimes IT security all weigh in on a contract. Employers also want absence and program insight without any way to identify individuals.
In the US, HHS says HIPAA protection depends on program structure. In the UK, health monitoring needs a lawful basis and a special-category condition. Participation falls if employees doubt where their data goes.
Established means widely deployed and well documented. Emerging means real deployments exist but results vary with your data and workflow. Early means pilots or research, not a safe default.
Transcription and drafting turn the consultation into a first-draft report that the clinician edits and signs. Ambient drafting is established in general clinical care, but one prospective study found omissions in 18% of 356 AI-drafted notes (one tool, one sample), so measure edit rates in your own service.
Referral forms are read, missing fields flagged, appointment types suggested and slots offered, with unclear cases sent to a case manager. This is bounded document and calendar work, supported by data integrations with your clinical system.
AI summarizes case history for the case manager and flags cases waiting on an appointment, report or outside information. Summaries are visible only to authorized roles and link to the source record.
Answers to employer questionnaires are drafted from an approved library of service descriptions and policies, then edited by the account lead. A wrong claim in a tender is still your claim.
Absence themes and program usage are summarized across groups too large to identify individuals, with narrative drafted by AI and reviewed by the account manager. We found no independent evidence on how well this works yet.
Suggestions for adjustments or next steps would be offered to the clinician. The SOM calls for bias testing, incident reporting and ongoing validation, and a function that supports diagnosis or treatment may become a regulated medical device.
Owns clinical judgment, signs every report and fitness-for-work opinion, and decides what is disclosed to the employer.
Checks referral completeness and consent, resolves exceptions and keeps cases moving.
Owns lawful basis, impact assessment and the split between employer-facing and clinical data, under a documented AI governance program.
Explains to employers why some information cannot be shared, and reviews aggregate reports before they leave.
Decides what a program collects and how data use is explained to employees.
Measure days from referral received to report issued, split by report type.
Track missed-appointment rate and days to first appointment as reminders and rebooking improve.
Measure case-manager touches per case and the number of cases stalled beyond a set age.
Track lead response time, tender turnaround and renewal rate by client.
Employers buy on turnaround, reliability and trusted advice, and a privacy failure can end a contract. AI that cuts admin per case supports capacity and consistency, andGo-to-market planning helps you explain that to each buyer inside one employer.
General information for planning, not legal advice. Statuses and dates are as published at the time of writing.
Draw every flow of employee health information, decide what employers may receive, and record what never enters an AI tool, starting with the impact assessment or HIPAA analysis.
Start with the admin steps nearest the clinician and measure referral-to-appointment time, with an exception queue for unclear cases.
Choose one report type, track edit rates and time to sign-off, and review every error with the clinicians before widening.
It can draft them for clinician review, and the clinician reads, edits and signs every report. In one prospective study, 18% of 356 AI-drafted notes had omissions, so we measure edit rates and errors in your service.
Only what your clinicians decide to disclose. The employer-facing view is built separately from the clinical record, and aggregate reports hide groups too small to protect individuals.
It depends on how the program is structured. HHS says information in a group health plan wellness program may be PHI, while information collected directly by an employer outside the plan is not automatically protected by HIPAA, although other laws can apply.
AI can organize information for a clinician, but the opinion belongs to the clinician. Decision support that diagnoses or recommends treatment can be regulated as a device.
In the UK: an impact assessment, a lawful basis and special-category condition, supplier review and clinician review of every output. MHRA's 29 July 2026 clarification separates reviewed drafting from tools meant for diagnosis or treatment.
Not independently, that we could find. Practice and privacy guidance is strong, but adoption and outcome evidence for occupational health and wellness vendors is thin, so we measure turnaround, edit rates and missed appointments in your own service.
Tell us how referrals, reports and employer reporting work today and we will map what AI can take on and what must stay with your clinicians. Book a discovery call to begin.