AI智能总结
Discover mission-critical insights for the Contents Foreward 3 Executive Summary4 Chapter 1 •Key Insights....................................................................................................................................................12•Predicting clinician mobility.....................................................................................................................13•So many patients, so little time..............................................................................................................13•Burned out and time poor.........................................................................................................................14 Chapter 2 •Key Insights....................................................................................................................................................17•AI is part of the clinician’s toolkit............................................................................................................18•Time-saving technology thatempowers clinicians...........................................................................18 Chapter 3 •Key Insights....................................................................................................................................................23•AI-enabled care: clinicians’ view of their future.................................................................................24 ConclusionAppendices Foreword The pace of scientific and technological advances is reshapinghealthcare like never before. But even against this backdrop, thespeed at which artificial intelligence (AI) has been developed, Alongside geopolitical trends, economic factors and pressureson the workforce, AI has contributed to the rapid evolution of thehealthcare sector for every stakeholder committed to improving At Elsevier, we believe that by working together, we can shapehuman progress for the benefit of all. By listening to thosetreating patients every day and elevating their voices, we will be In our fourth annualClinician of the Futurereport,we examinethe views of over 2,000 clinicians on this emerging technology I hope you enjoy reading our latestClinician of the Futurereport.The wide-ranging views shared by global clinicians provideplenty of food for thought for everyone working in healthcare, Sincerely,Jan Herzhoff Executive The global healthcare landscape is defined by aseries of related challenges. Rising costs lead tofunding pressures and inequities in healthcareprovision, while patient demand for morepersonalized care for their complex needs puts Technology has the potential to address some ofthe biggest challenges clinicians face today, fromburnout to increasing patient demand, and will have In this report, we share the views of clinicians aroundthe world gathered through an extensive globalsurvey on the state of healthcare today, the role Against this backdrop, the emergence of AI inhealthcare has the potential to respond to many of Online surveyMarch to April 2025 As AI usage rises, it’s vital that we understandclinicians’ views and needs. Elsevier developed the Clinician of the Futureseries in 2022 to exploretrends and changes that will impact the future ofhealthcare – and therefore shape the clinician ofthe future. AI has emerged as a key topic in ourannual reports, and we dive deeper into the n = 2,206 clinicians(1,781 doctors and 425 nurses)from109 countries To improve representativeness, weweighted responses geographicallyand to equally represent doctors and The current state of Chapter 1: Clinicians today are busier than ever, and it’s impactingthe quality of care they can provide. Clinicians believe AIcould contribute positively to solving their problems, but Over two-thirds of clinicians areseeing more patients now than Over a quarter of clinicians thinkthey don’t have enough time todeliver quality care, with highpatient volume as the most cited Only around a third of cliniciansthink their institutions performwell in providing digital tools,including AI. They also considerinstitutional performance lowerfor AI training (30%) and AIgovernance (29%). Meanwhile, Nearly a third of clinicians areconsidering leaving their role inthe next couple of years despitenotable clinician shortages Almost half of clinicianssay tiredness has impairedtheir ability to treat How AI is transforminghealthcare Chapter 2: Usage of AI tools is increasing dramatically amongclinicians, with 76% having used an AI tool, and nearlyhalf for work purposes. They recognize many benefitsthat improve their own work and patient experiences,though AI use for any specific clinical activity remainsrelatively low. In some regions, particularly North There is a usage gap when it comes tothe type of AI tool clinicians are using. Ofthose that use AI tools for work, 97% haveused a generalist tool such as ChatGPT 48%of clinicians have used an AI toolfor work purposes – near