《SoftServe：2024醫療行業勞動力危機應對策略：人工智能解決方案的前沿探索白皮書（英文版）（17頁）.pdf》由會員分享，可在線閱讀，更多相關《SoftServe：2024醫療行業勞動力危機應對策略：人工智能解決方案的前沿探索白皮書（英文版）（17頁）.pdf（17頁珍藏版）》請在三個皮匠報告上搜索。

1、TACKLING HEALTHCARES LABOR CRISIS Featuring insights from a 2024 commissioned global study conducted by Forrester Consulting on behalf of SoftServeBy:Peter M.Burns with AI solutionsReportTackling Healthcares Labor Crisis with AI Solutions2Is Generative AI(Gen AI)the solution to healthcares labor cri

2、sis?Right now,one of the biggest challenges in healthcare is to attract and retain staff in a tough job market.These shortages ripple through the system,leading to staff burnout,higher turnover rates,and ultimately compromising the quality of patient care.Advocates believe Gen AI could alleviate the

3、 burden of time-consuming administrative tasks and increase regular communication with patients two critical areas of concern for healthcare professionals(HCPs).Yet,Gen AIs adoption in healthcare is slower than in other fields.The reasons include stringent regulatory requirements,concerns over data

4、privacy and security,and the need for exceptional reliability to ensure patient safety,among others.Despite these challenges,healthcare companies find innovative applications for AI technology.A 2024 commissioned global study conducted by Forrester Consulting on behalf of SoftServe shows where healt

5、hcare companies are looking for value,how they define success,and their strategies for accelerating adoption.Well start by answering a few questions:Can AI simplify healthcare administration?How much could it save?If AI has so much potential,why isnt it more widely used?Improving operational efficie

6、ncy ranks among the top three goals for Gen AI,with 60%of respondents ranking it as their top priority.Enhancing research and development(R&D)is another primary goal for 62%of respondents,with a focus on testing new treatments and technologies.Software development follows closely at 60%.53%see great

7、 value in using Gen AI for operations,while 52%recognize similar benefits in supply chain management.While addressing workforce challenges is a key industry challenge,concerns about improving employee experience and managing risk are lower,with just over a third very concerned.When asked about the b

8、iggest reason for not implementing Gen AI solutions,nearly 47%cited a risk of privacy and data fines as their top concern.EXECUTIVE SUMMARYHighlights from the 2024 study:ReportTackling Healthcares Labor Crisis with AI Solutions3CAN AI SIMPLIFY HEALTHCARE ADMINISTRATION?Healthcare leaders are curious

9、 about how AI will simplify and improve processes.However,AI adoption in healthcare is slower than in other industries,despite the potential to save more on U.S.healthcare costs.A recent study from the National Bureau of Economic Research(NBER)shows that healthcare may be more efficient,costing less

10、 and delivering better care,and that AI is key to this improvement.Healthcare productivity in the U.S.may be improved in two ways.First,administrative costs,which account for about 25%of total healthcare spending,need to be addressed.AI automation will help lessen this burden.Second,medical knowledg

11、e advances so fast that only 6%of what new doctors learn in medical school will still be relevant in a decade.AI will offer important clinical data when clinicians need it during diagnosis and other important stages of care.Source:The National Bureau of Economic Research Working Paper:The Potential

12、Impact of Artificial Intelligence on Healthcare Spending“Oct.2023 Hospital revenue$1,192B$96B$1,096B$508B$338B$250B2%-4%$15B-$25B$60B-$120BHospital EBITTotal hospital costsMedical costs,laborRange of net savings for quality and safety domainTotal net savings for domainTotal net opportunity across al

13、l hospital domains within the next five years using todays technologies without sacrificing quality or accessMedical costs,nonlaborAdministrative costsExample of a hospital domain calculation:quality and safetyHow much could it save?The NBER report found that using AI in U.S.healthcare may save betw

14、een$200 billion to$360 billion each year over the next five years(2023-2028).These estimates are based on practical AI use cases achievable with current technology,ensuring quality and access are not compromised.Hospitals may save$60 billion to$120 billion annually within five years using todays tec

15、hnologies without sacrificing quality.Physician groups may reduce costs by 3%to 8%,translating to$20 billion to$60 billion in savings.Private payers may see annual savings of$80 billion to$110 billion over the next five years.ReportTackling Healthcares Labor Crisis with AI Solutions4Administrative p

16、rocesses:Back in 2018,experts estimated that AI and cognitive computing could save the healthcare industry$150 billion by 2025,mostly used to deal with the complexity and growth of medical data.But saving money is part of the story;it signifies a shift toward more efficient and effective healthcare.

17、At the heart of this value-based approach is the healthcare workforce.And that brings us to the third question:If AI has so much potential,why isnt it more widely used?While financial savings are important,the human element in AI transformation matters equally.You need to consider how employees inte

18、grate technologies,adapt to new processes,and interact with AI systems.All these considerations factor into the adoption of AI in healthcare.The AMA conducted a comprehensive study of over 1,000 physicians views on the use of augmented intelligence in healthcare.It covered current use,future motivat

19、ions,concerns,and potential for adoption.The AMA deliberately uses augmented intelligence to emphasize that these tools support rather than replace human decision-making.The AMA study found that physicians are currently using or planning to use AI tools that focus on reducing administrative burdens.

20、The AMA study also highlights the top areas where physicians plan to implement augmented intelligence in the next five years:generate patient messages(40%have plans),summarize charts(39%have plans),and predict demand and workforce needs(43%have plans).However,adopting augmented intelligence requires

21、 resources and support.Crucial factors include data privacy assurances,protections from liability for augmented intelligence model errors,and malpractice insurance coverage.IF AI HAS SO MUCH POTENTIAL IN HEALTHCARE,WHY ISNT IT MORE WIDELY USED?38%56%of physicians currently use augmented intelligence

22、 in their practice for documentation,translation,and diagnoses.believe augmented intelligence will significantly cut down administrative tasks through automation.ReportTackling Healthcares Labor Crisis with AI Solutions5WORKFORCE CHALLENGES HOLD THE SECTOR BACK The shortage of healthcare workers is

23、a serious problem,made worse by the COVID-19 pandemic and physician burnout.The Bureau of Labor Statistics projects:Physician burnout is a major public health issue that can lead to depression and other concerning mental health conditions.The 2024 Medscape Physician Burnout and Depression Report sho

24、ws that 49%of doctors report feeling burned out,and 20%feel depressed.Although this is down from a high of 68%in 2021,nearly half of doctors still suffer from burnout.Eighty-three percent link their burnout directly to their jobs.Doctors say bureaucratic tasks like charting and paperwork are the big

25、gest culprits.Nearly two-thirds(62%)of doctors cite administrative work as their main source of stress,while 41%feel theyre simply working too much.Assuming a five-day work week,experts estimated that U.S.physicians spent 125 million hours documenting outside office hours in 2019,per a study publish

26、ed in JAMA.A reduction in the source of these administrative tasks,and the integration of the right information into the right workflows at the right time could significantly improve the situation for providers.Healthcare companies must support their workers,address burnout,and consider AI as a poss

27、ible solution.According to CB Insights,ambient AI technology that automatically documents clinical interactions presents a$4.6 billion opportunity in healthcare.Physicians already see AI as a helpful shift less about starting every task from scratch and more about refining what the AI has already pr

28、epared.It takes some of the mental load off,giving them more time and energy to focus on the work that matters.According to a 2024 AAMC report,the nation may face a physician shortage of up to 86,000 by 2036.shortage of nurses by 2031.increase in openings for home health aides and personal health ai

29、des by 2028.Burnout costs the healthcare system around$4.6 billion each year due to turnover and reduced hours among primary care physicians.On average,burnout costs each physician about$7,600,with estimates ranging from$3,700 to$11,000.194,500 37%THE REASON DOCTORS LEAVEReportTackling Healthcares L

30、abor Crisis with AI Solutions6Ambient AI applications in healthcare deliveryDecreasing physician burnoutHospital journeyHome health optimizationAmbient AlGen AI could solve major workforce issues for HCPs and clinicians and provide value by:Saving time Automating data synthesis lets clinicians focus

31、 more on patient care.Improving patient outcomes Quick access to comprehensive information helps clinicians make more informed decisions.Reducing errors Well-organized,relevant information reduces the risk of diagnostic and treatment errors.Enhancing operational efficiency Improved data summarizatio

32、n improves the efficiency of healthcare delivery.Outpatient clinicsInpatient hospital careHome health1.EHR navigation2.Data retrieval3.EHR documentation4.Virtual assistant1.Monitoring of activities of daily living2.Prevention of fall/fall detection3.Home rehabilitationI.ICU:Prevent data fatigueInfec

33、tion controlMonitoring of patient mobilization 2.Operating rooms:Surgical countSurgical trainingADDRESS WORKFORCE ISSUES WITH GEN AIReportTackling Healthcares Labor Crisis with AI Solutions7HOSPITAL AI DOMAINS AND EXAMPLE USE CASESAI has many high-potential uses to alleviate workload pressures,suppo

34、rt overburdened staff,and improve job satisfaction.For example,the most promising use cases in clinical operations could improve operating room capacity,save clinical staff time,and optimize supply chains.This obviously would give physicians and staff more time to focus on patient care.When companie

35、s focus only on financial factors,they may overlook the broader strategic value of AI in helping to reduce the hours spent in administration,and the benefits of a happier and more stable workforce.When they consider the total mission value including experience,process efficiency,and improvements acr

36、oss the administrative landscape the case for adopting AI becomes stronger.Source:The National Bureau of Economic Research Working Paper:The Potential Impact of Artificial Intelligence on Healthcare Spending“Oct.2023 ReportTackling Healthcares Labor Crisis with AI Solutions8RESULTS FROM 2024 GLOBAL

37、STUDYFindings from a 2024 commissioned global study conducted by Forrester Consulting on behalf of SoftServe show how AI is expected to be an important agent of change,especially in operational efficiency.Improving operational efficiency ranks among the top three goals for Gen AI.Sixty percent of he

38、althcare respondents say its their top priority.Looking ahead,91%believe that the need for Gen AI to improve operational efficiency will grow in the next 12 to 18 months.The Most Important Gen Al Goals in Healthcare TODAYImproving research and development62%Improving software development60%Improving

39、 operational efficiency60%Improving business strategy57%Improving risk management/regulation compliance53%Improving customer engagement53%Improving employee experience41%Improving sales38%60%91%Gen Al Goals in 12-18 MonthsImproving operational efficiencyImproving customer engagementImproving softwar

40、e developmentImproving employee experienceImproving research and developmentImproving risk management/regulation complianceImproving business strategyImproving sales37%54%42%44%42%40%37%51%37%48%43%44%47%46%31%41%More importantMuch more importantReportTackling Healthcares Labor Crisis with AI Soluti

41、ons9IMPROVING THE EMPLOYEE EXPERIENCE IS ALSO A GROWING GOALImproving the employee experience is not a top priority for Gen AI right now,with only 41%listing it as a main goal.However,a change is expected in the next 12 to 18 months.About 86%of respondents believe its importance will rise.This likel

42、y comes from a growing awareness that positive employee experiences are vital for the success of any healthcare organization,and that Gen AI can help improve employee experiences,leading to higher retention and morale.Priorities vary by industry.For example,in life sciences,51%of respondents identif

43、ied improving employee experience as a top goal today,compared to an average of 44%in all industries.Improving research and developmentImproving software developmentImproving operational efficiencyImproving business strategyImproving risk management/regulation complianceImproving customer engagement

44、Improving employee experienceImproving sales62%57%57%54%51%51%54%55%52%53%53%53%53%42%42%41%38%38%30%43%44%46%60%60%HealthcareLife sciencesAverage for all industriesReportTackling Healthcares Labor Crisis with AI Solutions10Value HarvestingOperationsSupply chainOffice of the CEOResearch and developm

45、entCustomer experience/customer serviceIT/software development Legal and complianceMarketing and salesFinanceEmployee experience/HREcosystem management13%35%39%40%53%52%48%48%49%47%40%44%42%41%43%43%45%51%27%40%39%35%42%9%12%12%9%14%17%17%16%20%21%LowSignificantModerateTODAYS VALUE In the 2024 study

46、,the questions shifted to the value generated from Gen AI in healthcare companies.Heres what stood out:Surprisingly,employee experience is one area where companies see the least value.Only 35%of respondents found significant value in their Gen AI employee experience initiatives,while 20%felt they ga

47、ined little value.This reveals a missed opportunity.Using Gen AI to enhance the employee experience can simultaneously improve daily operations,but this is not always considered in the value.Whats holding companies back?It often comes down to a few issues:lack of training in the tools,poor integrati

48、on with current workflows,unclear communication about the benefits,or a gap between technology and what employees need.Operations and supply chain departments saw the highest return on investment.of respondents reported significant value in operations,while 52%noted similar benefits in supply chain

49、management.of respondents reported significant value in R&D.53%48%ReportTackling Healthcares Labor Crisis with AI Solutions11In todays job market,companies must compete to attract the best people.A modern work environment with efficient operations is important for both recruitment and retention.In o

50、ur healthcare environments,these factors and employee satisfaction may be important to the creation of positive patient outcomes as well.RESPONDENTS IDENTIFY GREATEST AI RISKSPrivacy and data concerns/finesUse of unsanctioned Gen Al leading to security risksInability to realize value from Gen Al inv

51、estments over the short termInability to realize value from Gen Al investments over the long termGen Al hallucinationDecreased employee satisfactionDecreased employee productivityFalling behind competitorsLoss of revenue opportunitiesDisplacement of jobsMy organization doesnt face any implications a

52、s a result of not addressing these concerns47%40%37%30%28%25%25%25%16%15%0%HealthcareLife sciencesAverage for all industriesImplementing Gen AI in the tightly regulated healthcare sector is a challenge.Patient information is sensitive,so data security is essential.Survey responses reflect this conce

53、rn.Respondents pinpointed privacy and data security risks as their primary worries,indicative of the higher need for data security than in other industries.Lets take a closer look at the 2024 study:Other top concerns include how to gain long-term value from Gen AI investments(30%are concerned)and Ge

54、n AI hallucinations(28%are concerned).These hallucinations may lead to inaccurate diagnoses,inappropriate treatment recommendations,and potential harm to patients,all of which quickly represent an unacceptable level of risk.Notably,no respondent reported feeling completely at ease with implementing

55、Gen AI.47%40%of respondents are worried about privacy,data protection,and potential fines.of respondents noted that using unsanctioned Gen AI may bring security risks.ReportTackling Healthcares Labor Crisis with AI Solutions12A call for cautionIn clinical settings,use cases expose clinicians to regu

56、latory or legal risks.The Federal Trade Commission warned it will take action against companies that relax data policies to access more patient information.As an example,the FTC accused a genetic testing company of deceptive or unfair practices based on changes to its privacy policy.The updated poli

57、cy allowed them to share consumers data with more third parties without notifying or gaining consent from the consumers whose information was previously in the dataset.Technology gives healthcare organizations the tools needed,but people truly drive results and long-term success.The 2024 study shows

58、 that 51%of respondents from healthcare companies think nurturing internal talent is the best way to speed up Gen AI adoption.Completing the top three:To effectively implement Gen AI initiatives and increase the confidence level of the other 59%,a vendor will likely have to represent strong R&D capa

59、bilities,experienced AI implementation specialists,and alignment with the goals of the implementing organization.WHAT ARE THE DRIVERS OF GEN AI SUCCESS?Invest in developing internal talentImprove data strategyInvest in research and developmentImprove ability to optimize/refine Gen Al language model

60、being usedMy organization does not plan on accelerating Gen Al adoptionFind external partners with greater ability to implement and execute Gen AlIncrease investment in Gen AlPromote internal culture of innovationRefine vision/strategyPilot additional use cases51%42%42%41%41%38%36%32%31%0%42%42%41%t

61、hink enhancing their data strategy will speed up adoption.believe investing in R&D is crucial for success.believe that finding external partners who can effectively implement Gen AI initiatives will accelerate adoption.ReportTackling Healthcares Labor Crisis with AI Solutions13EXPERIENCE EARLY SUCCE

62、SS WITH OPERATIONAL USE CASESSoftServe believes leaders will quickly see benefits by starting with practical,operational use cases and ensuring the right data infrastructure is in place with proper security and privacy.More tips for success:Build trust with a solid foundation:High-quality data is es

63、sential for successful AI applications.Focus on practical uses to improve data management and build confidence in AI.Reduce risks and simplify integration:Adopt practical applications to lower the risks of modern technology and make it easier to fit into existing workflows.Achieve quick wins:Start w

64、ith small,manageable goals like task automation and workflow improvements for faster results.This sparks excitement and support for broader AI adoption.Learn and improve:Early projects offer valuable lessons about data quality,user needs,and ethical considerations.These insights will help create bet

65、ter Gen AI tools in the future.ReportTackling Healthcares Labor Crisis with AI Solutions14Here are a few use cases to consider:Patient summaries:Healthcare administrative processes are onerous and put a significant burden on professionals.But Gen AI simplifies them.Current EHR technologies automatic

66、ally generate notes from a patients visit.Future advancements will improve the systems ability to recognize relevant clinical details,add health specifics to medical records,and translate health issues into diagnoses and billing codes.These improvements lighten the administrative load on healthcare

67、staff and improve interactions between providers and patients.Regulatory compliance:Gen AI streamlines regulatory compliance in healthcare.The industrys complex and changing regulations make it perfect for AI monitoring.It finds changes in the regulatory environment,analyzes new requirements,and int

68、erprets internal documents to make the appropriate updates to internal policies and procedures.Gen AI can even provide materials to help with employee change management.This greatly reduces the manual work required to maintain compliance.Care management:Gen AI simplifies care management workflows.Pa

69、yers and providers analyze data to find useful tests or preventive actions.AI makes it easier to organize and interpret patient data.As conclusions are drawn from the data,Gen AI interprets patient preferences and creates personalized outreach to encourage patients to take charge of their health.Vir

70、tual agents:Gen AI improves online customer support with friendly virtual assistants.It simplifies product selection using smart,personalized recommendations and transforms customer service with interactive digital avatar kiosks.Content creation:Gen AI speeds up software development by automatically

71、 generating code from natural language prompts.It reduces ideation and drafting time for content creators and generates personalized product looks and descriptions based on customer preferences.ReportTackling Healthcares Labor Crisis with AI Solutions15TURN TO AN EXPERIENCED TECHNOLOGY PARTNER Integ

72、rating Gen AI into the healthcare system offers a chance to save billions of dollars each year.However,high costs and complex implementation make widespread AI adoption a challenge.Privacy and security are major concerns and require strong data protection measures.Strategic implementation must focus

73、 on high-value,low-risk use cases.It needs to align with organizational goals and involve partnerships with experienced technology providers to ensure successful integration and maximize benefits.Choosing the right technology partner is important.Look for a partner with proven abilities and methodol

74、ogies,along with a deep understanding of AIs potential and limitations.A partner must know the industry and have the experience needed to help you:SoftServe is uniquely qualified to implement Gen AI and related technologies.We bring technical expertise,an industry understanding,and a skilled team of

75、 data scientists to make the technology work for you.Our engineers benefit from R&D support and keep us ahead of new advancements.We have strong vendor relationships,including strategic partnerships with Amazon,Google Cloud,Microsoft,and NVIDIA.13245Focus on specific,high-value,low-risk use cases th

76、at deliver business value Align the organization around the incorporation of the innovative technology Clean and organize your data Integrate data sources before feeding them to the Gen AI model Adhere to regulatory standards,including HIPAA If you need a trusted AI consulting and technology partner

77、 to help integrate Gen AI into your organization,contact SoftServe today.CONTACT USReportTackling Healthcares Labor Crisis with AI Solutions16METHODOLOGYIn this 2024 study,Forrester Consulting conducted a global online survey involving 777 decision-makers across various industries,including those in

78、 the healthcare industry,who are engaged in technology purchasing related to Gen AI.The goal was to assess the effectiveness of their current adoption strategies.Participants were questioned about their organizations Gen AI technology,infrastructure,skill development,governance strategies,and the va

79、lue derived from their existing use of Gen AI.As a token of appreciation for their time,respondents received a small incentive.The study began in January and concluded in February 2024.Please note that percentages may not add up to 100 due to rounding.NORTH AMERICAN HQ201 W.5th Street,Suite 1550 Aus

80、tin,TX 78701+1 866 687 3588(USA)+1 647 948 7638(Canada)EUROPEAN HQ30 Cannon StreetLondon EC4 6XHUnited Kingdom+44 333 006 4341 ABOUT USSoftServe is a premier IT consulting and digital services provider.We expand the horizon of new technologies to solve todays complex business challenges and achieve

81、meaningful outcomes for our clients.Our boundless curiosity drives us to explore and reimagine the art of the possible.Clients confidently rely on SoftServe to architect and execute mature and innovative capabilities,such as digital engineering,data and analytics,cloud,and AI/ML.Our global reputatio

82、n is gained from more than 30 years of experience delivering superior digital solutions at exceptional speed by top-tier engineering talent to enterprise industries,including high tech,financial services,healthcare,life sciences,retail,energy,and manufacturing.Visit our website,blog,LinkedIn,Facebook,and X(Twitter)pages for more information.