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Health IT & AI

Health IT and AI

Interoperability, EHR modernization, and enterprise AI, covered for the leaders making technology decisions that reshape how care is delivered.

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Middle aged African American female doctor in disposable gloves and mask reading paper on clipboard

HTI-5 certification criteria cuts shift EHR proof burden to providers

ASTP/ONC's deregulatory package would retire roughly half the Health IT Certification Program's criteria while narrowing information blocking exceptions, leaving hospital IT, informatics and compliance teams to absorb validation work vendors once attested to.

Workers collaborate in a modern office with computers, showcasing teamwork in technology development.

AI revenue cycle ROI: why task counts are not cash

Health systems are scoring revenue cycle automation on work queues cleared rather than dollars collected, and new survey data suggests almost none have connected the two before FY27 budget season.

Close-up of a doctor writing notes on a clipboard in a well-lit office.

Epic AI tools governance: building a defensible no

Health systems are quietly declining vendor-shipped AI features inside the EHR, and the deferral decision is becoming the clearest test of whether a governance program actually works.

A woman visits a patient in a hospital room, holding hands for comfort.

Ambient AI nursing documentation outpaces its evidence base

Abridge is now generally available to nurses across its health system clients and most Epic hospitals have adopted ambient tools, yet every validated outcome number still comes from physician outpatient deployments.

Diverse team collaborating on a software project in a contemporary office setting.

EHR AI agent governance when the health system is the developer

As Epic and Oracle open agent tooling to customers, validation, monitoring and liability quietly move onto provider organizations whose AI committees were chartered to review vendor purchases, not in-house builds.

Close-up of hands analyzing colorful graphs, indicating business planning.

Healthcare AI validation gap: 93% deploy, 44% can test

New UPMC and KLAS data show health systems have mainstreamed third-party AI faster than they built places to test it, leaving CIOs to own a safety burden regulators are shifting downstream.

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