Company and Stock Identity

How Epic Connects to the Public Market

Company structure
Private company
Market access
No direct public shares are available.
Research focus
Look at AI inside the EHR as deployed workflow rather than as one vendor product. Verify model source, local configuration, transparency, monitoring, and the evidence behind each decision-support function.

Epic Systems is privately held and employee owned.

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First-Hand Company News

Latest Developments

... Commure ... Company source

Commure gets Epic Toolbox status for autonomous coding, and reports an 83 percent cut in charge entry time at Ob Hospitalist Group

Commure said on 20 October 2026 that Commure Autonomous Coding had achieved Epic Toolbox designation for fully autonomous coding. The announcement describes the Toolbox designation as marking vendors that follow Epic's recommended Blueprint and integration practices, which it says streamlines integration and security review and lets coders check codes inside their existing Epic system. Commure says the product recommends ICD-10, CPT and E&M codes and modifiers with a written rationale, covering the step from a clinician's note through claim creation. The announcement reports that at Ob Hospitalist Group, described as the nation's largest OB/GYN provider group, clinicians cut charge entry time by 83 percent within three months and the software coded more than 85 percent of all charges. Tanay Tandon, Commure's chief executive, is quoted saying healthcare spends more than 250 billion dollars a year on administrative work that produces no clinical value.

Why it matters: Toolbox designation is an integration and process credential, not a measure of coding accuracy. It matters because it removes a real obstacle: coders reviewing AI output in a second application is where a lot of autonomous coding pilots quietly die. The customer figures are the part worth pressing on. An 83 percent cut in charge entry time is a measure of clinician effort, and 85 percent of charges coded is a measure of how much work the software took on, but neither one tells you whether the codes were right or whether denials went up or down. A revenue cycle leader should ask for the accuracy and denial numbers beside these two before treating the result as a win, and should note that an obstetrics hospitalist group has a narrower range of cases than a general hospital.

... Abridge ... Company source

Abridge turns its note-taking tool into an assistant that answers questions about the patient

Abridge said on 13 October 2026 that Abridge Assistant, which works inside the records system and is reached by chat or by voice, is now available to every clinician at every health system it serves, following a release in September. The company says the assistant pulls relevant details out of the chart with the sources cited, surfaces clinical guidance, drafts documents such as referrals and handoffs for a clinician to review, personalises notes using the patient's context, and can fold a health system's own clinical pathways into its answers. Abridge says it shows its work step by step rather than returning an answer alone, and that more than 300 enterprise health systems use its products. Abridge says it works with Epic and other records systems. Matt Troup, a physician assistant and Abridge clinical strategy principal, is quoted saying the assistant knows his patient and shows the work.

Why it matters: Drafting a note from a conversation that already happened is a contained job. Answering a question about a patient, and offering guidance, is not, because a wrong answer can reach a decision. Two things in the announcement are the ones to hold onto. The citations and the visible reasoning steps are the part an informatics team can actually audit, so ask whether a clinician can click through to the chart entry behind every claim. And the clinical pathway feature means the answers will reflect whichever version of the pathway was loaded, which makes pathway governance a safety job rather than a content job. Nothing here is a clinical claim, and Abridge describes the drafts as material for a clinician to review, not to send.

... Suki ... Company source

Suki adds UpToDate answers to its clinical AI assistant

Suki announced on October 8, 2026 a feature called Ask, which lets a clinician ask a spoken or typed question and get back patient details such as medications, allergies, vitals, lab results and chronic conditions without searching the chart by hand. Suki says the answers use the Wolters Kluwer UpToDate Expert AI programming interface, and are grounded only in UpToDate content maintained by more than 7,600 physician authors, editors and peer reviewers. The company says early evaluations had clinician reviewers prefer answers that included patient context 83 percent of the time.

Why it matters: Pairing the chart with a reference library is a sensible move, because a correct general answer can still be the wrong answer for one patient. The 83 percent figure comes from the company's own early evaluation, so it describes what reviewers preferred rather than what happened to a patient. The buyer question underneath it is what the feature does when the chart and the reference disagree, and who is accountable for the answer a clinician acts on.

... Epic ... Company source

Epic says automated outreach prevented 3.4 million missed appointments in a year

Epic reported on September 23, 2026 that its Hello World outreach tool prevented more than 3.4 million no-shows at United States health systems in the previous 12 months. Epic cites a study at one medical center where missed appointments across ten clinics cost more than 10 million dollars a year, and cites research that only one in five Americans answer calls from numbers they do not recognise. Epic says Ochsner Health saved more than 1,000 hours of call center staff time across ten months by letting patients reschedule by text, and that health systems using Branded Calling, which shows the caller name on the patient phone, are seeing answer rates close to double.

Why it matters: A prevented missed appointment is the cheapest capacity a clinic can find, which is why access teams chase this number. But it is hard to prove, because nobody can tell whether a reminded patient would have turned up anyway, and 3.4 million across the whole Epic customer base measures the size of that base as much as the strength of the tool. The firmer number is the Ochsner Health figure of 1,000 staff hours, because saved phone time is something an access team can check against its own staffing.

... Epic ... Company source

Epic has 25 health systems building their own AI agents at its Agent Factory

Epic said on September 15, 2026 that 25 health systems are taking part in the second Agent Factory Build-a-Thon, where their own staff build AI agents inside Epic instead of waiting for a released feature. Epic says the first Build-a-Thon was held in May 2026, training for early adopters begins in October 2026, and broader availability is planned for 2027. Epic describes agents built to spot a serious bowel illness in newborns called necrotizing enterocolitis, flag which surgeries are likely to be cancelled, review medication refill requests, and record critical care time. Epic says the ECU Health agent saves 20 hours of staff time each week, and names Derek DeYoung as the person leading Agent Factory development.

Why it matters: Letting a health system build its own agent moves both the work and the responsibility inside the hospital. That is appealing to a system with informatics staff and a problem Epic will never build a feature for, and risky for a system without them, because somebody local now owns how the agent behaves on a bad day. The 20 hours a week is the ECU Health count for one agent, so read it as an example and not a benchmark. The open question is governance: who signs off that a home-built agent is safe to leave running, and who notices when it starts drifting.

... Epic ... Company source

Memorial Hermann says Epic's AI draft cut follow-up messages about test results by a third

Epic said on 8 September 2026 that Memorial Hermann Health System clinicians are using Art, its AI assistant built into the record, to draft patient-friendly notes when they review lab and imaging results. Reporting Memorial Hermann's data, it says patients sent 32 percent fewer follow-up messages about test results when the clinician started from Art's draft, that Art has helped write more than 55,000 messages to patients, and that clinicians starting from the draft saved an average of nine seconds per result comment. Dr Ryan Walsh, chief medical information officer at Memorial Hermann, is quoted saying the draft helps produce more thorough follow-up notes that clinicians review, edit and personalise before sharing.

Why it matters: Nine seconds per comment sounds trivial and is the wrong number to judge this on. Across 55,000 messages it adds up, but the 32 percent fall in follow-up questions is the real saving, because an inbound patient message costs a clinician far more than nine seconds to answer. This also shows why Epic matters in this part of the directory: a function like this arriving inside the record a health system already owns is the main competitor to any point solution, and no new contract was signed to get it. The clinician still reviews and sends every message, so this is drafting rather than autonomous communication.

... Epic ... Company source

An Amsterdam hospital cut chart time from 17 minutes to 12 with Epic's AI charting

Epic said on 2 September 2026 that Chart with Art, its native AI charting tool, reduced documentation time at OLVG, a teaching hospital in Amsterdam. Reporting the hospital's data, it says pediatricians cut note-writing time per appointment by 31 percent, and that overall clinician time in the chart per appointment fell 27 percent, from nearly 17 minutes to just over 12. Dr Felix Kreier is quoted saying he can focus on the conversation with the peace of mind that nothing will be forgotten.

Why it matters: A health system choosing an ambient documentation vendor should know that a comparable saving is available from the record system it already runs, with no extra contract, no separate audio retention policy and no new vendor to govern. That is not an argument against the specialist vendors, several of which report larger savings and work across more specialties, but it is the baseline the saving should be measured against. The figures are one Dutch teaching hospital's own, concentrated in pediatrics, and five minutes per appointment is a real but modest change rather than a transformation.

... Nabla ... Company source

Nabla launches Mac dictation that keeps the audio on the computer

Nabla announced Nabla Dictation for Mac on July 28, 2026, describing it as a clinical dictation application built natively for macOS that runs its full speech pipeline on the device with no audio sent to servers. The company says 44 percent of the clinicians using Nabla today work on Apple devices, and that the app works with existing dictation hardware including PowerMic and SpeechMike microphones. Nabla emphasizes a deep Epic integration and says M Health Fairview has deployed the product at scale. Chief product officer Laurent Landowski credits Apple's Core ML and Neural Engine for making the on-device pipeline possible. The announcement states no accuracy figures and makes no FDA claim.

Why it matters: Where the audio goes is the question compliance actually asks, and on-device processing answers it in one sentence instead of a data processing agreement. The honest gap is accuracy: Nabla published no error rate for this product, and on-device models are usually smaller than server models, so a careful buyer tests dictation accuracy against whatever it is replacing rather than assuming the privacy win is free. The Epic integration is the part that decides whether clinicians actually use it.

... Artera ... Company source

Artera adds staffed AI teams for specialty groups and community clinics

Artera announced on May 7, 2026 an AI services model built around what it calls AI Service Squads, dedicated teams that build custom agent tools for a provider instead of handing over a product to set up. Artera says it supports 2 billion patient messages a year, works with more than 1,000 healthcare organizations including nearly 300 federally qualified health centers, and reaches more than 200 million patients. The company lists connections to Epic and to several other records systems, and co-founder and chief executive Guillaume de Zwirek said healthcare leaders want one AI partner rather than a string of single-purpose tools.

Why it matters: Selling people next to software is an admission that healthcare AI rarely works straight out of the box, and specialty groups and community clinics are the buyers least likely to have their own AI staff. The reach numbers are Artera own counts of messages and customers, so they describe the size of its network rather than how well any agent performs. The question underneath is what the squad leaves behind: a tool the clinic staff can change later, or a custom build only Artera can maintain.

See company developments across the healthcare AI market.

Careers and Qualifications

What to Know Before Applying

Work areas: Software development, technical services, implementation, analytics, product, clinical informatics, and customer support.

Qualification signal: Epic trains many hires on its own platform. Healthcare experience helps for clinical and implementation work, but the company publishes role-specific requirements rather than one healthcare AI credential.

Check current roles at Epic. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.

Related Healthcare AI Roles

Training to Compare

Buyer Snapshot

Best-fit buyer
CMIO, quality and safety, nursing leadership, clinical informatics, data science, and service-line owners
Primary use case
Surface patient risk, deterioration signals, or clinical recommendations for review
Typical deployment
Usually embedded in the EHR or connected to streaming clinical data with alerts delivered inside existing workflows

Evidence questions

  • What population, prevalence, and care setting were used for validation?
  • Has the tool been tested prospectively against the current workflow?
  • What clinical and operational outcomes improved beyond model accuracy?

Regulatory and workflow questions

  • Does the intended use place the software under FDA device oversight?
  • What does the clinician see before acting on the score or alert?
  • Who owns performance review, adverse event review, and suspension decisions?

Data and contract questions

  • Which inputs are required and how are missing or delayed data handled?
  • How are model updates, feature changes, and drift disclosed?
  • Can local performance be measured by patient subgroup and clinical unit?

Evidence and Regulation

FDA Clearances on Record

No clearance is linked in this directory. That is not automatically a mark against the company. Some products support the people doing the work instead of reading a patient image or signal themselves.

What the Published Research Says About This Work

Independent studies on the work itself help separate category evidence from one company's claims.

First-Hand Sources