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  3. (1) Our recent research indicates that patients are reluctant to use health care provided by medical artificial intelligence eve

(1) Our recent research indicates that patients are reluctant to use health care provided by medical artificial intelligence eve

admin2022-07-27  154
问题     (1) Our recent research indicates that patients are reluctant to use health care provided by medical artificial intelligence even when it outperforms human doctors.  Why?  Because patients believe that their medical needs are unique and cannot be adequately addressed by algorithms. To realize the many advantages and cost savings that medical artificial intelligence (AI) promises, care providers must find ways to overcome these misgivings.
    (2) Medical AI can perform with expert-level accuracy and deliver cost-effective care at scale. IBM’s Watson diagnoses heart disease better than cardiologists do. Chatbots dispense medical advice for the United Kingdom’s National Health Service in lieu of nurses. Smartphone apps now detect skin cancer with expert accuracy. Algorithms identify eye diseases just as wee as specialized physicians. Some forecast that medical AI will pervade 90% of hospitals and replace as much as 80% of what doctors currently do. But for that to come about, the health care system will have to overcome patients’ distrust of AI.
    (3) We explored patients’ receptivity to medical AI in a series of experiments conducted with our colleague Andrea Bonezzi of New York University. The results, reported in a paper forthcoming in the Journal of Consumer Research, showed a strong reluctance across procedures ranging from a skin cancer screening to pacemaker implant surgery. We found that when health care was provided by AI rather than by a human care provider, patients were less likely to utilize the service and wanted to pay less for it. They also preferred having a human provider perform the service even if that meant there would be a greater risk of an inaccurate diagnosis or a surgical complication.
    (4) The reason, we found, is not the belief that AI provides inferior care. Nor is it that patients think that AI is more costly, less convenient, or less informative. Rather, resistance to medical AI seems to stem from a belief that AI does not take into account one’s own characteristics and circumstances. People view themselves as unique, and we find that this belief includes their health other people experience a cold; "my" cold, however, is a unique illness that afflicts "me" in a distinct way. By contrast, people see medical care delivered by AI providers as inflexible and standardized—suited to treat an average patient but inadequate to account for the unique circumstances that apply to an individual.
    (5) Consider the results of a study we conducted. We offered more than 200 business school students at Boston University and at New York University the opportunity to take a free assessment that would provide them with a diagnosis of their stress level and a recommended course of action to help manage it. The results: 40% signed up when they were told that a doctor was to perform the diagnosis, but only 26% signed up when a computer was to perform the diagnosis.
    (6) In another study, we surveyed over 700 Americans from an online panel to test whether patients would choose AI providers when AI’s performance was clearly superior to that of human providers. We asked research participants to review information about the performance of two health care providers (called provider X and provider Y) in terms of their accuracy in diagnosing skin cancer or making triage (患者鉴别分类) decisions for medical emergencies, or the rate of complications associated with pacemaker implant surgeries that these providers had performed in the past.
    (7) We then asked participants to indicate their preference between the two providers on a 7-point scale with endpoints, 1 (prefer provider X), 4 (no preference), and 7 (prefer provider Y). When participants chose between two human doctors varying in their performance, all participants preferred the human doctor with the higher performance. But when choosing between a human doctor and an AI provider, participants’ preference for the higher-performing AI provider was significantly weaker. In other words, participants were willing to forego better health care to have a human, rather than an AI, care provider.
    (8) There are a number of steps that care providers can take to overcome patients’ resistance to medical AI. For example, providers can assuage concerns about being treated as an average or a statistic by taking actions that increase the perceived personalization of the care delivered by AI. When we explicitly described an AI provider as capable of tailoring its recommendation for whether to undergo coronary bypass surgery to each patient’s unique characteristics and medical history, study participants reported that they would be as likely to follow the treatment recommendations of the AI provider as they would be to follow the treatment recommendations of a human physician.
    (9) Toward that end, for purely Al-based health care services (e.g., chatbot diagnoses, algorithm-based predictive modeling, app-based treatments, feedback from wearable devices), providers could emphasize the information gathered about patients to generate their unique profile, including their lifestyle, family history, genetic and genomic profiles, and details about their environment. Patients might then feel that the AI provider will take into account the kind of information that would be considered by a human provider such as their general practitioner who has access to their history.
    (10) Exclusively Al-based services could also include cues—like "based on your unique profile"—that suggest personalization. In addition, health care organizations could make a special effort to spread the word that AI providers do deliver personal and individualized health care—for example, by sharing evidence with the media, explaining how the algorithms work, and sharing patients reviews of the service.
    (11) Al-based health care technologies are being developed and deployed at an impressive rate. AI-assisted surgery could guide a surgeon’s instrument during an operation and use data from past operations to inform new surgical techniques. Al-based telemedicine could provide primary care support to remote areas without easy access to health care. Virtual nursing assistants could interact with patients 24/7, offer round-the-clock monitoring, and answer questions. But harnessing the full potential of these and other consumer-facing medical AI services will require that we first overcome patients’ skepticism of having an algorithm, rather than a person, making decisions about their care.
Medical AI has many advantages, but for now it CANNOT ________.
选项 A、perform accurately at a specialized level
B、give medical advice just like nurses
C、identify skin cancer precisely
D、replace 80% workload for doctors
答案D
解析 根据题干中的Medical AJ和advantages定位到第1段第1段最后一句提到，医疗人工智能有很多优点。第2段则是顺承前文，进一步阐述医疗人工智能的优点，其中，倒数第2句指出，有人预计，医疗人工智能将承担起医生目前80％的工作量，换句话说，这就是医疗人工智能目前尚未能实现的优势，故选D项“承担医生80％的工作量”。
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