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 structured review of your data, systems, staffing and governance that establishes what an AI agent could safely do in your organisation today.
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 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 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 HIPAA does not mention artificial intelligence, and no separate AI rule exists.
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 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 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 agents connect to Epic: FHIR APIs, Showroom and Toolbox, Hyperdrive embedding, HL7 interfaces, and what your integration request will need.
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 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 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 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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