Figure 2 |
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Some generative AI applications are already streamlining administrative tasks and allowing thinly stretched physicians to spend more time with patients . |
Despite the uncertainty , generative AI already has the power to alleviate some of providers� biggest woes , which include rising costs and high in�ation , clinician shortages , and physician burnout . �uick relief is critical , considering that the heightened risk of a recession will only compound margin pressures , and the �S could be short �0 , �00 to 10� , 900 physicians by 2030 , according to the Association of American Medical Colleges .
Many health systems are eyeing imminent opportunities to reduce administrative burdens and enhance operational e�ciency . They rank improving clinical documentation , structuring and analyzing patient data , and optimizing work�ows as their top three priorities ( see Figure 1 ).
Some generative AI applications are already streamlining administrative tasks and allowing thinly stretched physicians to spend more time with patients . For instance , Doximity is rolling out a Chat�PT tool that can draft preauthorization and appeal letters . HCA Healthcare partnered with Parlance , a conversational AI-based switchboard , to improve its call center experience while reducing operators� workload . And there are new announcements seemingly every week : Consider how healthcare software company Epic Systems is incorporating Chat�PT with electronic health records ( EHRs ) to draft response messages to patients , or how �oogle Cloud is launching an AI-enabled Claims Acceleration Suite for prior authorization processing .
These applications only scratch the surface of potential . In the future , generative AI could profoundly transform care delivery and patient outcomes .
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Looking ahead two to five years , executives are most interested in predictive analytics , clinical decision support , and treatment recommendations ( see Figure 2 ).
It�s hard not to catch AI “ fever .” But there are real challenges ahead . Some are already tackling the biggest questions� Organizations such as Duke Health , Stanford Medicine , �oogle , and Microsoft have formed the Coalition for Health AI to create guidelines for responsible AI systems . Even so , solutions to the greatest hurdles aren�t yet keeping up with the rapid technology development . Resource and cost constraints , a lack of expertise , and regulatory and legal considerations are the largest barriers to implementing generative AI , according to executives ( see Figure � ).
Even when organizations can overcome these hurdles , one ma�or challenge remains� focus and prioritization . In many boardrooms , executives are debating overwhelming lists of potential generative AI investments , only to deem them incomplete or outdated given the dizzying pace of innovation . These protracted debates are a waste of precious organizational energy�and time .
Starting small to win big Setting the bar too high is setting up for failure . It�s easy to get caught up , betting big on what seems like the greatest opportunity in the moment . But 12 months later , leaders often find themselves frustrated that they haven�t seen results or feeling as if they�ve made a misplaced bet . Momentum and investments slow , further hindering progress .
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SOURCE : BAIN HEALTH YSTEMS SURVEY |