埃森哲：2018年数字医疗科技的5大趋势.pdf

DIGITAL HEALTH TECH VISION 2018Intelligent Enterprise UnleashedAccenture ConsultingIntroductionTHE WORLD HAS REACHED A POINTwhere technology is deeply embedded in our livesand the lines between business and personal are blurred more than ever.Healthcare organizations are increasingly unleashing the power of intelligent technologies,using them to deliver personalized,efficient and informed care.However,with such innovation comes responsibility.For people to get the full benefits of digitally enabled healthcare services,providers and health plans must prioritize trust and responsibility.The Accenture Digital Health Technology Vision 2018 explores five trends that underscore the importance of building a foundation of trust as technology has a greater impact on our lives:Citizen AI,Extended Reality,Data Veracity,Frictionless Business and Internet of Thinking.We see these trends in two categoriesthe enablers of an intelligent healthcare enterprise,and the consequences.The technology enablers Extended Reality,Frictionless Business and Internet of Thinking demonstrate how integration and personalization can help people in new ways.Citizen AI and Data Veracity reveal the consequences when technology is deeply intertwined in our lives and in our care.2 DIGITAL HEALTH TECHNOLOGY VISION leaders have great potential to apply emerging technologies to create deeper,more meaningful relationships with peoplebut there are choices to be made on that journey.How will we apply technology,govern it and ensure that it does no harm?Now more than ever,these choices must be made with great caution and care.More on this topicMeet Todays Healthcare Team:Patients+Doctors+MachinesIn Hot Pursuit of Healthcare InnovationFind Out What Our Health Leaders Thinkof health executives believe that treating customers as partners is important or very important to gain consumer trust.of health executives agree that through technology,businesses are weaving themselves seamlessly into the fabric of how people live today.of health executives believe that ensuring the security of consumer data is important or very important to gain trust of customers.94%84%92%3 DIGITAL HEALTH TECHNOLOGY VISION intelligence(AI)now has a deeper touch in healthcare.It is much more than a technological toolit is part of the workforce.AI is using algorithms to diagnose patient wounds via smartphone.1 It is allowing caretakers and doctors to remotely monitor the elderly so that they may safely live independently.2 AI is helping health systems to digitally verify a patients insurance information.3 More and more,AI touches the end-to-end care experienceand it will only grow in scale.A majority of health executives(85 percent)surveyed agree that every human will be directly impacted on a daily basis by an AI-based decision within the next three years.Meanwhile,AI is growing up.Just as a child begins to learn to be responsible on his or her own,AI is gaining knowledge without simply being programmed.Learning-based AIs build models based on vast amounts of training data.They spot patterns and self-check against test data for success across a variety of factors.And the more data an AI is given,the better its predictions become.The power of AI in healthcare is both awesome and alarming,considering the potential implications of one bad decision.Healthcare organizations must recognize this impact and build AI with responsibility,fairness and transparencybut many arent there yet.Eighty-one percent of health executives agree that organizations are not prepared to face the societal and liability issues that will require them to explain their AI-based actions and decisions,should issues arise.CITIZEN AI Raising AI to Benefit Providers,Plans and PatientsTrend 14 DIGITAL HEALTH TECHNOLOGY VISION AI is“raised”successfully,it can begin to do more to help the healthcare enterprise.For instance,AI might support human decision making in a wider variety of areas,such as providing a recommended treatment plan or accepting or rejecting medical claims.In healthcare,this is life or death business.Healthcare leaders must ensure that the data used to inform AI solutions are created without any embedded bias.Bias can be harmful to people.For instance,if a healthcare organization builds a model around heart disease detection,and the model is full of data about older white males,it may yield incorrect results such as a denied claim,or cause harm such as an inaccurate diagnosis,for a young African American.For this reason,companies using AI must be very mindful of what is in the data used to train their AI.They must continuously test for and mitigate biases to minimize risk,error and potential harm.See Decoding AI.Raising it rightDECODING AIExplainable AI In healthcare,being able to explain the process used to arrive at a decision can be critical to trust,safety and compliance.Given that an AI system is fundamentally designed to collaborate with people,healthcare organizations must build and train their AIs to provide clear explanations for the actions the AI systems decide to take,in a format that people understand.Responsible AI Healthcare organizations must raise AI systems to act responsibly as AI represents the business in every action that it takes.Companies using the technology must think carefully about the responsibility and liability of the actions their AI takes on their behalf.Trend 1 Citizen AI DIGITAL HEALTH TECHNOLOGY VISION 2018Raising explainable and responsible AI is essential to earning trust with those interacting with the technology.And trust is the only way to foster adoption.For healthcare to realize AIs full potential,each organization must be transparent about its motives for using data,as well as consistent with the motives of consumers.That means understanding what the consumer believes the business has the right to do with their information.Health plans likely have more trust-related issues to overcome than providers.For instance,consumers perceive medical information shared by health plans to be biased.An Accenture survey found that when researching treatments,69 percent of consumers believe health plan sources are steering them in a preferred direction.4 As health plans start to use AI to augment employees for core transaction processing,such as claims processing,this insight and path to decisions must be transparent so that it is explainable to consumersnot hidden in a black box.Whats more,regulators are often involved in reviewing a consumer appeal or grievance on a claim denial and expect a clear and explainable answer for a determination.Lack of trust.Lack of adoption.Organizations might consider being abundantly clear about how they will use patient data by sharing a public statement around responsible and explainable AI and AI governance.In addition to earning trust with consumers,clinicians must trust AI to adopt it.When clinicians are using AI to make decisions,they need to believe the technology is trustworthy and dependable.But how dependable must the technology be before making it available to clinicians?As reliable as a medical student?A nurse?A physicians assistant?Proving outcomes is one way to earn clinicians trust in AI.Jvion is using an Eigen-based cognitive computing engine to help healthcare organizations identify patient-specific risk of adverse events and recommend individualized actions to help mitigate those risks.By using Jvions solution to reduce readmissions,Health First has avoided more than 800 unnecessary inpatient length of stay days and realized about$2 million in material savings.Trend 1 Citizen AI6 DIGITAL HEALTH TECHNOLOGY VISION solutions will allow healthcare organizations to be more transparent in how AI models make decisions,thus providing the evidence that analytical thinkers,such as doctors and regulators,are seeking to validate decisions and eliminate bias.For example,Pegasystems created a customer decision hub that has a“T-Switch”feature which allows an organization to set transparency thresholds for AI.This gives customers a choice:Some models are opaque and some are more transparent and,therefore,explainable.Such solutions allow userswhether clinicians,administrators or consumers to see the inner workings of an AI model,including contributing factors to why a decision was made.With the T-switch,AI becomes a consultative companion for decision making.A feature like this is especially important for compliant AI in light of the European Unions General Data Protection Regulation,which includes the“right to explanation of decisions made by automated systems.”Trend 1 Citizen AI7 DIGITAL HEALTH TECHNOLOGY VISION is changing every dayand health executives(80 percent)believe it is advancing faster than their organizations pace of adoption.As AI capabilities in healthcare continue to evolve,leaders must quickly take on the challenge of raising AI in a way that acknowledges its new roles and impact in healthcare.Keeping up with AITrend 1 Citizen AIof health executives are planning to develop internal ethical standards related to the use of AI to ensure their AI systems are designed to act responsibly.of health executives agree that organizations are not prepared to face the societal and liability issues that will require them to explain their AI-based actions and decisions,should issues arise.of health executives agree that within the next two years,AI will work next to humans in their organization,as a coworker,collaborator and trusted advisor.73%81%80%8 DIGITAL HEALTH TECHNOLOGY VISION INSIGHT INTO DISEASE PREDICTIONS Researchers at New Yorks Icahn School of Medicine at Mt.Sinai have a unique collaborator in the hospital:their in-house AI system,affectionately known as Deep Patient.Armed with an analysis of electronic health records from 700,000 patients,Deep Patient taught itself to predict risk factors for 78 different diseasesand doctors now turn to the system to aid in diagnoses.Deep Patient may not be a person,but its more than just a program.Artificially intelligent systems learn,make autonomous decisions,and have grown from a technological tool to a partner among people,coordinating and collaborating with humans in the workforce and society.With increasing autonomy and sophisticated capabilities,AI now often has as much influence as the people putting it to use.More on this topicMeet Todays Healthcare Team:Patients+Doctors+MachinesHealthcare:Walking the AI Talk AI Explained:A Guide for Executives9 DIGITAL HEALTH TECHNOLOGY VISION reality technologies provide a bridge that connects people,places and information.And as the technology evolves,it has greater potential to close the gaps of distance,addressing significant pain points in health and healthcare,transforming the ways people work and live.Virtual and augmented reality technologies comprise“extended reality”or XRwhich blurs the lines across physical and simulated worlds.XR technology makes immersive experiences commonplace,it solves for distance,minimizing its relevance.In healthcare,this has important implications.Imagine an elderly patient in a rural setting has a consult with a world-class expert without ever leaving his or her own home.A surgical resident practices surgery in a virtual setting at home,rather than operating on cadavers in a medical facility.A nurse uses a vein finder to insert an IV on the first try.A war veteran rebounds from PTSD through cognitive therapy in a virtual environment.EXTENDED REALITY Trend 2 The End of Distance 10 DIGITAL HEALTH TECHNOLOGY VISION actions in healthcare require quick access to information.XR brings it all closer together,such as overlaying digital information during a physical task like surgery.In fact,82 percent of health executives agree that extended reality is removing the hurdle of distance in access to people,information and experiences.Trend 2 Extended RealityVirtual Reality(VR)VR visually takes the user out of their real-world environment and into a virtual environment,typically using a headset for viewing coupled with hand-held controllers to navigate virtual space.Augmented Reality(AR)AR overlays digital objects(information,graphics,sounds)on the real world,allowing the user to experience the relationship between digital and physical worlds.Extended Reality(XR)XR refers to the spectrum of experiences that blurs the line between real world and the simulated world.The technology immerses the user through visuals,audio,and potentially olfactory and haptic cues.The two major types of XR are virtual reality and augmented reality.XR has tremendous potential to close gaps between employees,patients and providers.For employees,XR allows training scenarios to be set up anywhere,run,replicated and adjusted to give a firsthand experience of a variety of situations.To close distance for patients,Florida Hospital Tampa is using virtual reality models to allow neurosurgeons,patients and their Distance to peoplefamilies to see inside the anatomy of a patients brain tumor or aneurysm.Patients can better understand their situation and make more informed medical decisions,and doctors can create detailed surgical plans and share those models so that other clinicians may learn these complex procedures.511 DIGITAL HEALTH TECHNOLOGY VISION 2 Extended RealityXR is helping to eliminate the distance between consumers and cliniciansand also the information providers need to get work done.It places a rich level of detail at a clinicians fingertips,removing potential barriers to decisions.For instance,a surgeon can wear XR glasses to see real-time digital content overlaid on the physical world without their attention being drawn away from the patient on the operating table.When information is superimposed on top of a physical action,doctors may have better precision and achieve outcomes that werent possible in the past.XR is not only closing the distance to information,but also the distance to new insights.Emerging XR tools express data in 3D environments,closer to the way humans actually see and imagine Distance to informationscenarios.This clears the way for new types of visualizationsand new discoveries in healthcare.For instance,surgeons in Texas are using 3D mapping and imagery as a“GPS system”to better navigate complex anatomy,making surgical procedures more precise.Doctors recently used the technology to perform a minimally invasive sinus procedure.The system records the surgery and the surgical planning,which can be used to train other surgeons on this complex procedure.6 The Body VR creates interactive 3D builds of traditionally 2D medical imaging,like CT scans and MRIs,to provide a more intuitive view of medical conditions.7 Similarly,Oxford researchers have created VR models of genetic data to better visualize what happens within living cells.8XR can close the distance between concept and practice for healthcare providers and their students.For instance,a world-renowned sub-specialist can be training a medical resident in another country on