人工智能在工作中：医疗保健组织如何为2026年及以后转型运营

AI is no longer a future consideration inhealthcare; it’s here and it’s accelerating.In 2024 66% of physicians reportedusing AI, marking a 78% increase from Nearly every hospital and health system is adopting,piloting or exploring AI in key operational areasincluding finance, HR, supply chain and revenue cycle.To learn more about the state of AI in healthcare,Becker’s Healthcare and Workday recently surveyed 142 Respondents were mainly C-suite and VP-level executivesin finance (33%) and HR and IT (31%), representinghealthcare providers across the full continuum of care. AI strategy and adoption Among the top goals driving organizational investmentin AI for back-office functions are increasing operationalefficiency (named a top-three priority by 60% ofrespondents), boosting workforce productivity (53%), Crucially, 99% of respondents say they are consideringAI and only 12% of respondents’ organizations are notprepared for AI adoption (Fig. 1).reducing administrative burden (49%), and achieving cost Among these healthcare leaders, 72% said theirorganization’s current approach to AI is exploringand researching or piloting AI in targeted back-officefunctions. Most healthcare organizations have already developed some level of readiness for AI adoption (82%)in the back-office functions, though few organizations seethemselves as fully prepared (16%) and some are mostlyprepared but have gaps (20%).Given rising demand for services and persistentworkforce shortages, organizations are increasinglyturning to technology to boost efficiency while However, early adopters and industry leaders havegone beyond exploration and piloting, with 12%of respondents’ organizations having already fullyintegrated AI into their operational workflows and 15%actively scaling back-office AI solutions.Other key goals include compliance and risk mitigation(33%), improving integration across departments (31%),and enhancing decision-making accuracy (31%). Giventhis specific focus, organizations are clearly focusing AIefforts on improving or optimizing efficiency.4. How would you describe your organization's current approach to AI in back-office functions (Finance, HR, Supply Chain)?Figure 1: How would you describe your organization’s current approach to AI in back-office functions (finance, HR, supply chain)? The top back-office areas where organizations areapplying or plan to apply AI are HR operations andtalent management (59% of respondents), IT/enterpriseapplications (55%), financial planning and forecasting Amid ongoing workforce shortages and organizationalgrowth, healthcare leaders are placing unprecedentedemphasis on HR and talent functions to sustainmomentum. Talent and technology availability have HR teams are increasingly turning to automation andAI to manage high-volume recruiting, streamlineadministrative tasks and free-up staff to focus on higher-value work. Empowering people to work “at the top oftheir license” and improve efficiency across the talentlifecycle is crucial to organizational success. As hospitals The survey also highlights a sustained focus on usingAI to enhance HR operations and talent management,improving candidate experiences and streamlining the HR and data/analytics teams are also playing a key role inchampioning AI applications across organizations whileexecutive leaders and finance teams are predominantly While a majority of respondents’ organizations areenthusiastic about AI and are embracing it for a variety ofback-office uses, respondents still see multiple barriers AI governance and barriers As healthcare organizations progress with AI, mostrecognize the importance of governance. Amongrespondents who were familiar with their organization’spolicies, 55% said their organization currently has a The survey found that the most significant barriers arelack of internal expertise or training (cited by 54% ofrespondents), limited budget or resources (50%) anddata quality or system integration challenges (45%).Other barriers are cultural resistance or skepticism (40%), Only 8% of respondents said their organization doesn’thave an AI governance committee and wasn’t planning to Along with these barriers, organizations continue tohave a host of concerns about using AI including theaccuracy and reliability of AI (49%), data privacy andsecurity (46%), bias (44%), regulatory compliance (40%) IBM research also found that data quality, privacy andsecurity are key concerns across industries, includinghealthcare. Other major concerns in both healthcare and These barriers to AI adoption in healthcare are similarto obstacles in other industries. A study of globalbusinesses found the main obstacle to AI adoption was Respondents also recognize that deploying AI is complexand that an external AI partner can provide significantvalue. The areas healthcare organizations value mostin an AI partner include data privacy, security andcompliance (39%); a proven track record of successful AI Opportunities and part