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    Home » Survey: How Can AI Remodel Income Cycle Administration Expertise?
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    Survey: How Can AI Remodel Income Cycle Administration Expertise?

    Chloe MitchellBy Chloe MitchellOctober 22, 2025No Comments2 Mins Read
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    Survey: How Can AI Remodel Income Cycle Administration Expertise?
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    A brand new report commissioned by Smarter Applied sciences and produced by MedCity Information reveals how medical billing employees understand income cycle administration software program and the position that AI may play to enhance income cycle administration (RCM) tech. Greater than 90% of respondents expressed curiosity in AI-driven billing options, with prime priorities being invoice assortment, affected person monetary providers, and payer communication.

    In a survey of 125 individuals who work in medical billing, respondents shared what they like and dislike in regards to the medical billing establishment and the modifications they’d prefer to see to remodel medical billing right into a seamless operation.

    Smarter Applied sciences is an automation platform developed for hospitals and well being programs. It brings collectively three firms: RCM providers companies Access Healthcare, AI-powered income cycle automation platform Thoughtful.ai, in addition to scientific insights AI enterprise SmarterDx, all just lately acquired by New Mountain Capital.

    Smarter Applied sciences needed to develop a technique to assess the urge for food and curiosity in AI purposes for income cycle administration by the individuals who work on this sector of healthcare. Thus, The AI Index in RCM survey was born.

    MedCity Information surveyed 125 medical billing executives and help employees, from CFOs by medical billing managers. They signify
    organizations of all sizes, from medical practices with 5,000 or fewer annual affected person discharges to massive hospitals with greater than 10,000 discharges every year.

    The vast majority of respondents, 55%, have labored in healthcare six years or extra. Half of respondents work at hospitals with 5,000 to
    10,000 affected person discharges yearly. One other 26% work for practices with greater than 10,000 affected person discharges yearly, whereas the remaining work for practices with lower than 5,000 discharges per yr. The findings revealed a eager urge for food to use AI applied sciences to remodel income cycle administration throughout a broad vary of duties.

    To learn the report, fill out the shape under:

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    Chloe Mitchell
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