Everything on clunic.com currently published under this byline. Each one carries the date it was last reviewed.
AI governance and compliance is a six week engagement that builds the policy, the control set, the AI inventory and the oversight process a provider organisation needs to run agents safely.
Read A three week independent review of data, systems, staffing and governance: what is assessed, how it is scored, what the report contains and what happens next.
Read A clinical AI vendor evaluation is a three week independent assessment of one to three named vendors you have already shortlisted.
Read A four week engagement that sequences your AI agent rollout: the first workflow, the integration path, the controls, the owners and the evidence for phase two.
Read Clunic is not a Microsoft Dragon Copilot partner, reseller or professional services provider.
Read Epic AI rollout oversight is an independent engagement for health systems deploying ambient documentation and AI agents inside Epic.
Read Health plan AI governance is an independent advisory engagement for payers using AI in utilization review, prior authorization, claims and member communications.
Read Hospital AI governance consulting is a standing advisory relationship between a hospital or health system's AI governance committee and an independent firm.
Read Clunic is not an Oracle AI Data Platform implementation partner and does not implement it.
Read Role based AI training for clinicians, front desk, billing and leadership, built around your own workflows and the oversight standard your policy requires.
Read AI vendor selection is a five week independent evaluation that turns a crowded market into a scored shortlist for one specific workflow.
Read An AI medical scribe records the clinical encounter, transcribes it and drafts a structured note in the EHR for the clinician to review and sign.
Read An AI phone agent answers the practice line, identifies why the caller is ringing, and either completes the task or routes it.
Read Care coordination agents chase the things that fall between visits: referrals that were sent but never completed, patients discharged and not called, and overdue screening or follow up.
Read A clinical inbox triage agent reads incoming EHR messages, classifies them, routes them to the right queue and drafts a reply for a clinician to review, edit and send.
Read How AI agents cluster denial root causes, draft appeals and rank the workqueue, what payers actually do with appeals, and when writing off beats fighting.
Read AI medical coding tools read the clinical note and propose ICD-10, CPT and HCC codes.
Read A patient intake agent collects registration and clinical history before the visit, captures and verifies insurance electronically, and writes the result into the practice management system.
Read A patient scheduling agent lets patients book, cancel and reschedule without calling, and fills cancelled slots from a waitlist automatically.
Read How AI prior authorization agents work, what CMS 0057 requires in 2026 and 2027, what a single authorization really costs, and the metrics that prove it.
Read Where AI agents fit across the revenue cycle, from eligibility and coding to claim status, payment posting, underpayment detection, denials and prior auth.
Read Alberta is the strictest province for AI scribes on paper.
Read Arizona has one enacted AI specific healthcare law.
Read What CPSBC's AI guideline, PIPA, OIPC guidance and FIPPA require before a BC clinic or health authority uses an AI scribe, and the six BC Scribe tools.
Read AB 3030 disclaimers, SB 1120 physician review, AB 489, CMIA and the CCPA rules. What each California law requires of a provider deploying AI agents, and when.
Read CMS-0057-F regulates payers, not providers.
Read Colorado repealed the 2024 Colorado AI Act before it ever took effect.
Read The EU AI Act became generally applicable on 2 August 2026, but the high-risk obligations were deferred by Regulation (EU) 2026/1744, the Digital Omnibus on AI.
Read Most administrative AI agents are not FDA-regulated devices.
Read Florida has no AI statute for healthcare.
Read Georgia has no comprehensive AI statute and no comprehensive consumer privacy law as of September 2026.
Read HIPAA does not mention artificial intelligence, and no separate AI rule exists.
Read Illinois has the strictest rules on AI in therapy and a heavily litigated biometric law.
Read Maryland has no general AI statute for providers.
Read No Massachusetts AI statute yet. What binds a clinic: the AG's Chapter 93A advisory, the wiretap law, the DOI AI bulletin and the health bills pending.
Read What Minnesota requires of clinics using AI in 2026: the new ban on AI prior authorization denials, the MCDPA, the Health Records Act and recording consent.
Read AB 406 has barred AI from mental and behavioural health care since July 2025. The scribe exception, the split recording consent rule and what SB 370 adds.
Read As of September 2026 New Jersey has not enacted a healthcare specific AI statute.
Read New York has no healthcare specific AI statute in force.
Read HTI-1 regulates health IT developers, not providers.
Read The HTI-2 final rule is much narrower than the proposal it came from.
Read What CPSO, PHIPA and the IPC Ontario guidance require before a clinic turns on an AI scribe, the Vendor of Record list, and a CPSO aligned AI policy outline.
Read Oregon has not passed a general AI law and its 2026 bill on AI insurer downcoding, HB 4054, died in committee.
Read Pennsylvania has no AI statute for healthcare.
Read Quebec is the only province whose medical regulator restricts which scribes a physician may use.
Read The Texas Responsible Artificial Intelligence Governance Act, HB 149, took effect on January 1, 2026.
Read Utah's AI Policy Act was substantially rewritten in 2025.
Read Virginia has no general AI statute after the HB 2094 veto. What binds a clinic: HB 481 physician review of denials, the VCDPA and Board of Medicine rules.
Read My Health My Data, SB 5395 on AI in prior authorization, HB 2225 on companion chatbots and the all party consent rule: what a Washington clinic must do in 2026.
Read There is no single best AI medical scribe.
Read Patient intake software is a mature category into which AI has been added, not a new one.
Read AI phone agents for medical offices split three ways.
Read Two AI scribe vendors publish usable prices.
Read No AI tool is HIPAA compliant on its own.
Read Prior authorization software is not one market.
Read AI agents reach athenaOne through the Marketplace programme, which combines a technical review, a security review and a published listing, over FHIR R4 and the proprietary athenaOne APIs.
Read How AI agents connect to eClinicalWorks: the certified FHIR R4 API, per practice app authorization, HL7 write back, and why Sunoh.ai shapes your shortlist.
Read How AI scribes and agents integrate with Epic: FHIR, Showroom and Connection Hub, Hyperdrive launch, HL7, the security review path, timelines, cost and vendors.
Read AI agents reach MEDITECH Expanse in two stages.
Read How AI agents connect to NextGen Enterprise and NextGen Office: the API Developer Program tiers, FHIR R4, NextGen Connect, and what Ambient Assist really is.
Read AI agents reach Oracle Health through the Millennium Platform APIs, a SMART on FHIR launch inside the chart, HL7 interfaces for write back, and a validated listing in Oracle's healthcare marketplace.
Read Veradigm publishes what most EHR vendors will not: a price list for API access.
Read Behavioral health practices get the fastest return from scheduling, reminders and intake, because a no show is unrecoverable revenue in an appointment based model.
Read Community health centers get their clearest return from language access and the front door.
Read Dental practices should start with the phone and the schedule, not with clinical documentation.
Read How an AI scribe fits a forty patient dermatology day: photo documentation, biopsy and procedure coding, cosmetic versus medical notes, and which vendors fit.
Read An AI scribe works in an emergency department only if it is built for interrupted, multi patient, noisy encounters and writes into the ED module of your EHR.
Read ENT practices get a good return from an AI scribe because clinic volume is high and many visits end in a procedure that needs its own note.
Read Which AI scribes fit an REI practice, how cycle monitoring, embryology notes and long consults change the case, and why fertility data needs more than a BAA.
Read Home health agencies should start with documentation and referral intake.
Read Health systems should start with documentation and revenue cycle work, because both have owners, budgets and measurable baselines already.
Read Neurology is a strong AI scribe case because the history of present illness is long, narrative and the part of the note neurologists most resent typing.
Read Nurse practitioners can buy an AI scribe for between 39 and 199 USD per month on published plans from Freed and Sunoh.ai, with free tiers from Heidi and an individual plan from Nabla.
Read How AI fits oncology: complex treatment plan notes, drug prior authorization, tumour board and trial documentation, care coordination and which vendors name it.
Read Orthopedic practices should run the AI scribe and the prior authorization project together, because the surgeon's clinic note is also the document that gets the MRI and the surgery approved.
Read Pediatric practices benefit from an AI scribe on sick visits and complex follow ups, where a parent gives a long history the clinician would otherwise type.
Read How an AI scribe fits daily notes and plans of care in physical therapy, what Medicare documentation requires, cash practice economics and vendors that name PT.
Read Primary care is the setting where an AI scribe pays back fastest, because visit volume is high, notes are narrative and after hours charting is the main driver of burnout.
Read An independent practice should start with the one workflow that is costing it staff hours every day, usually documentation or the phone.
Read Virtual first groups get the most from asynchronous intake, because everything the visit needs can be gathered before it starts and some visits stop being necessary at all.
Read Urgent care should automate the front door first.
Read Veterinary AI scribes are priced from roughly 40 to 200 USD per veterinarian per month on published plans, with most established products between 99 and 150 USD on annual terms.
Read Which AI scribes publish Canadian data residency, sit on the OntarioMD, Infoway, BC Scribe and Santé Québec lists, write referral letters and list CAD prices.
Read An AI agent in healthcare is software that pursues a goal across multiple steps, chooses its own actions, and completes work without a human approving each one.
Read Define three things before a pilot starts: a baseline measured for at least two weeks, one outcome metric that would justify the spend, and a stopping rule written down in advance.
Read A section by section AI acceptable use policy for medical practices: approved tools, what staff may paste, PHI rules, incident reporting and enforcement.
Read Under ten providers, buy from the self-serve end of the market, on a monthly term, after a four week pilot with two willing clinicians and one sceptic.
Read The platform, talent and liability math behind building AI agents in house, a total cost of ownership comparison, and the narrow cases where building wins.
Read Adoption is won in the eight weeks after go live, not in the selection.
Read CMS-0057-F obliges payers, not providers, but providers get the benefit only if they prepare.
Read FHIR versus proprietary APIs, app store listings, sandbox access and who pays the fee: the integration questions to ask an AI vendor before you sign anything.
Read What actually moved in US healthcare AI regulation in 2026: the ONC certification rewrite, CMS prior authorization deadlines, FDA guidance and four state laws.
Read Send the compliance questions before the demo, not after the pilot.
Read An AI governance committee earns its place by returning decisions on a clock.
Read The evidence base is narrower than the marketing.
Read Fifteen questions separate vendors that have been through a health system security review from vendors that have not.
Read Colorado, California, Utah and Texas regulate healthcare AI differently. A comparison table and a comply-with-the-strictest framework for multi-state groups.
Read Healthcare AI pilots rarely fail because the model was bad.
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