医疗行业：人工智能与劳动力的未来——生成式AI对医疗岗位的影响

AIonHealthcarejobs Releasing time to care May 2025 Healthcare sector: The Future of AI and the WorkforceForeword Our work provides valuable insight into theopportunities for Gen AI and where LTHT might focusits resources for the biggest benefit. A key exampleis automating routine administrative tasks, such asscheduling, data entry, and drafting, with Gen AIfreeing up valuable time for healthcare providers.We hope this automation reduces the administrativeload, allowing our doctors, nurses, and alliedhealthcare colleagues to spend more time on patientcare, rather than paperwork. Over the next threemonths we aim to further develop our understandingof the real-life benefits of Gen AI working with cliniciansand staff to develop specific use cases in specificservices identified in this report. In recent months, the sudden and very publicinterest in generative Artificial Intelligence (AI) hassparked immense debate about the broader goodand potential risks that AI and Machine Learningcan bring to society and the economy. From overallquestions of ethics and governance to sector-specific applications for innovative new use cases,there are a number of countries vying to be globalleaders in this transformational new technology. Understanding the potential benefits of Gen AI,where these benefits might be the greatest, how itwill transform how people work, and how it can helpaddress critical workforce shortages are allimportant questions. We anticipate that Gen AI will create new opportunitiesand job roles. Healthcare professionals will increasinglyneed expertise in managing and interpreting Gen AItools, leading to a demand for skills in Gen AIintegration, data analysis, and cybersecurity. Rolesin Gen AI oversight, ethics, and regulatory complianceare also becoming crucial. In healthcare, Gen AI has the potential to performa range of activities currently carried out by staff,giving them more time to spend with patients. Withcurrent estimates putting the global shortage of clinicalstaff at 18 million, there is an obvious attractionof anything that might release time for care. Despite the many potential benefits of Gen AI, whichwe explore in this report, it is not a panacea for theworkforce crisis in healthcare. For many clinical roles,the number and mix of staff required to provide safe,accessible, high-quality services now and in the futurewill not change as a result of Gen AI. They will continueto be determined by other factors; such as saferstaffing guidelines, recommended ratios, whilst alsoensuring roles and team structure remain attractive. However, healthcare organisations are large andcomplex, raising the question of where they should startto employ Gen AI first and where the greatest benefitwill be seen. For example, the National Health Service(NHS) in England is a complex network of hundreds oforganisations that jointly employ 1.5 million people inover 300 roles and professions. This report aims to provide an understandingof the Gen AI’s potential based on a comprehensiveassessment of the jobs and tasks performed by thestaff in Leeds Teaching Hospitals Trust (LTHT). As faras we are aware, this is the most detailed assessmentof the Gen AI augmentation potential in healthcareundertaken anywhere in the world. We hope ourfindings will be of interest to individual NHS providers,NHS England, the Department of Health and SocialCare, and hospitals across the world which, to a largeextent employ people doing similar roles. Michael AllenPartner Jenny LewisDirector of Human Resourcesand Organisational Development Together with LTHT we have started to develop ourunderstanding of how and where there is an opportunityto support the workforce by deploying Gen AI to helpwith daily tasks. Healthcare sector: The Future of AI and the WorkforceContents Section2: Section1: Introductions and key findings Executive Summary Section3: Section4: Detailed findings: Opportunities for GenAI in the NHS The potential benefits of Gen AI forthe workforce Section6: Section5: What employers should consider tomaximise the benefits of using AI in theirorganisations Actions healthcare organisations need to take toensure compliance with relevant legal andlegislative requirements Healthcare sector: The Future of AI and the WorkforceGlossaryofterms Deep Learning: Robotic Process Automation (RPA): Robotic Process Automation involves rule-basedautomation of straightforward workflow tasks suchas opening an email, data entry, or copying & pastingdata. AI and RPA can work in tandem to automatemore sophisticated and complex tasks. A type of machine learning that uses artificial neuralnetworks with multiple layers to learn complex patternsfrom data. It is particularly effective for tasks such asimage recognition, natural language processing,and machine translation. Artificial Intelligence (AI): Generative AI: A broad field encompassing the development ofcomputer systems that can perform tasks typicallyrequiring human intell