Capgemini-健康与人工智能的现在和未来（英）-2022.11-108正式版

Health&AI:Now and Next 2022 edition3HEALTH&AINOW AND NEXT4Health&AI:Now and Next 2022 editionForewordIn 2022,we are celebrating the 5th edition of the AI for Health Summit.5-years is quite young,but old enough to see changes in this fast-evolving industry that is catching up at such a speedy pace.After the success of the two first editions,we come back this year even stronger to report on where healthcare organizations stand in their data and AI journey.We have extended our scope and we now cover Pharmas,MedTechs,Tech providers,Startups,Hospitals,Research labs,Insurance,Patients and Regulators.As part of the“AI for Health Global Conference”,held on November 16,2022,this report gathers a large panel of 140+respondents into an online survey,along with 22 deep-dive interviews with field change makers that bring their expertise in the domain.We have reached some statistical significance and international stature.We would like to thank our panel for their precious insights.Similar to 2021,the ambition of this work is to help stakeholders get more familiar with data AI strategic stakes and main applications,get a grasp of the industrys level of maturity,while providing them with insights on the main roadblocks,ethical considerations,and operating choices they may face in their journey to implement data and AI use cases.This year,we also provide an“how to guide”to reach the next level of data and AI literacy depending on your profile.We take away from this edition that healthcare stakeholders are mid-way in their data and AI journey,at the crossroads of their ambition.They are getting their hands dirty with concrete use case delivery,sometimes meeting success and often facing challenges.Since 2016,tech leaders are developing their collaborations with healthcare institutions:Google launched 12 projects,Microsoft 7 and Amazon 5.More recently,COVID paved the way for a massive interest in data and AI domain,stakeholders are now fully embracing it,learning and sometimes succeeding on their way.Health&AI:Now and Next 2022 edition5We built this report as a reference but also as a mind shaker of this rich ecosystem,that works more and more all together around an overarching common goal:delivering the best possible care to individual patients in their diversity and to society as a whole,at an affordable and sustainable cost.We reiterate our ambition to have this report fully leveraged to ensure patients,practitioners and authorities get the most out of the on-going revolution of data and AI in healthcare.More than ever,we are on a mission to democratize a topic that every player can have a role in,either coming from a business background,a technical background or simply as a citizen.Make no mistake!The wind of change is now blowing everywhere across this industry.We hope you will enjoy reading and using this report as much as we appreciated working on it.Join us in shaping the future of AI for Health!We would like to give a special thanks to the partners of DamienGromierFounder&CEO AI for HealthCharlottePierron PerlsEVP Global Head of Insightsfor Intelligent IndustryCapgemini Invent GlobalStphanieTrangVice President Europe AI for Health BarnabLecouteuxSenior Director Insights for Intelligent Industry,Life SciencesCapgemini Invent France6Health&AI:Now and Next 2022 editionTable of contentsExecutive summary P.8-10Objectives,methodology and panel P.11-17Study Objectives P.11-12Methodology P.13-15Study Panel P.16-17Health&AI:Now and Next 2022 edition7Key Learnings P.18-75Key AI topics:a panorama P.76-97Contributors and acknowledgements P.98-103AI Strategy and Operating Model P.18-35AI Maturity and Use cases P.36-57Technological choices P.58-67Ethics and privacy P.68-75Patient centricity:getting there?P.79-80Next healthcare system paradigm P.81-82Future of R&D P.83-85Next generation engagement P.86-87Connected Health P.88-89Data foundations P.90-93AI/Data acculturation P.94-95Regulators viewpoint P.96-978Health&AI:Now and Next 2022 editionExecutive SummaryFirst,we notice a continuity of the trends observed back in 2021.Data and AI are still considered as key by organizations,although employee acculturation is lagging behind.While dedicated units to address the matter are being deployed,they are still too far away from decision to drive the necessary impact.Offering the best patient care in terms of outcome and journey remains the top priority especially for Hospitals.Resource-wise,data scientists and data engineers are still the most requested profiles on the marketplace.On maturity,the overall perception of the panel remains a feeling of a medium maturity level.Data availability-data not always complete nor made accessible-and data quality-data not perceived reliable enough-still prevail as the key barriers for use cases industrialization.Organizations are still on their way towards more robust data foundations.Data transformation and most importantly data interoperability(in and out)especially when working in ecosystem,show g