第 3 章 重新思考醫(yī)學(xué)專(zhuān)業(yè)知識(shí)“人生一大挑戰(zhàn)在于:所知足以讓你認(rèn)為自己是對(duì)的,卻不足以讓你意識(shí)到自己是錯(cuò)的?!薄?尼爾?德格拉斯?泰森(Neil deGrasse Tyson) 泰森博士的這一洞見(jiàn),在我們第 2 章描述的一場(chǎng)醫(yī)患診療對(duì)話中體現(xiàn)得淋漓盡致:一位胃腸病學(xué)專(zhuān)家否定了 “無(wú)奶飲食可能對(duì)克羅恩病患者有幫助” 這一可能性。這位資深臨床醫(yī)生對(duì)自己的認(rèn)知深信不疑,卻未能意識(shí)到自己或許存在疏漏。正如我們?cè)谏弦徽轮兴赋龅?,基于?zhuān)家經(jīng)驗(yàn)的醫(yī)療服務(wù)存在局限性,我們需要更重視循證醫(yī)學(xué)及其對(duì)臨床試驗(yàn)的依賴。但這位資深醫(yī)生的思維模式也引發(fā)了一系列問(wèn)題:應(yīng)如何衡量專(zhuān)業(yè)能力?專(zhuān)業(yè)能力在患者護(hù)理中應(yīng)扮演何種角色?在頂尖大學(xué)、科學(xué)協(xié)會(huì)與專(zhuān)業(yè)學(xué)會(huì)中,專(zhuān)業(yè)能力的核心應(yīng)落在何處?在這樣的體系中,獨(dú)立學(xué)術(shù)研究是否有立足之地?同行評(píng)審在界定 “誰(shuí)是專(zhuān)家、誰(shuí)不是專(zhuān)家” 時(shí)應(yīng)發(fā)揮怎樣的作用?患者是否應(yīng)被視為自身健康護(hù)理的 “專(zhuān)家”? 專(zhuān)業(yè)能力:醫(yī)療實(shí)踐中不可或缺的部分若沒(méi)有專(zhuān)業(yè)人士的支持,患者在面對(duì)復(fù)雜醫(yī)療問(wèn)題時(shí)將不得不獨(dú)自應(yīng)對(duì);初級(jí)保健醫(yī)生與護(hù)士將被迫處理超出其執(zhí)業(yè)范圍的復(fù)雜診斷難題;無(wú)數(shù)政府官員與企業(yè)高管在制定日常決策時(shí),也會(huì)缺失亟需的專(zhuān)業(yè)信息支持。同樣重要的是,決策者將更難區(qū)分科學(xué)結(jié)論的優(yōu)劣。遺憾的是,這些令人擔(dān)憂的場(chǎng)景正逐漸成為日常現(xiàn)實(shí)。當(dāng)前醫(yī)療領(lǐng)域面臨的困境之一,便是醫(yī)學(xué)專(zhuān)家在公眾心中的崇高地位已不如往昔。蓋洛普民意調(diào)查顯示,1975 年有 80% 的美國(guó)人對(duì)醫(yī)療體系抱有信心,但到 2015 年,這一比例已驟降至 37%。無(wú)獨(dú)有偶,《綜合社會(huì)調(diào)查》(General Social Survey)發(fā)現(xiàn),公眾對(duì)醫(yī)療機(jī)構(gòu)的信心從 1974 年的 60% 下降至 2016 年的 36%[1]。毫無(wú)疑問(wèn),公眾對(duì)醫(yī)學(xué)專(zhuān)家信心的喪失,在一定程度上導(dǎo)致了針對(duì)各類(lèi)健康問(wèn)題的 “未經(jīng)證實(shí)且 / 或存在風(fēng)險(xiǎn)的療法” 泛濫。 盡管公眾對(duì)醫(yī)學(xué)專(zhuān)業(yè)能力的價(jià)值存在疑慮,但毋庸置疑的是,專(zhuān)業(yè)能力在患者護(hù)理中仍發(fā)揮著至關(guān)重要的作用。當(dāng)然,這種專(zhuān)業(yè)能力需要通過(guò)多年的醫(yī)學(xué)教育與臨床實(shí)踐經(jīng)驗(yàn)來(lái)培養(yǎng)和積累。然而,即便接受了相同的教育、擁有相似的經(jīng)驗(yàn),并非每位臨床醫(yī)生都能達(dá)到同等的專(zhuān)業(yè)水平 —— 這需要一種關(guān)鍵技能:在 1 型思維與 2 型思維之間找到巧妙平衡。 正如我們?cè)凇吨厮芘R床決策支持》(Reinventing Clinical Decision Support)[2] 一書(shū)中所闡釋的,大多數(shù)經(jīng)驗(yàn)豐富的臨床醫(yī)生會(huì)運(yùn)用 1 型思維,因?yàn)樗?“模式識(shí)別” 過(guò)程的核心環(huán)節(jié)。這種直覺(jué)式思維借助啟發(fā)法與歸納捷徑,幫助醫(yī)生快速判斷患者一系列癥狀背后的病因。當(dāng)患者癥狀與常見(jiàn)疾病的典型模式高度吻合時(shí),1 型思維能發(fā)揮顯著作用。例如,醫(yī)生若識(shí)別出急性心肌梗死(MI)的典型癥狀,便能迅速采取行動(dòng)應(yīng)對(duì)潛在病變。 醫(yī)生與護(hù)士的記憶中儲(chǔ)存著數(shù)百種此類(lèi) “疾病腳本”(disease scripts),在繁忙的臨床場(chǎng)景中,這些腳本能即時(shí)浮現(xiàn)。但這種直覺(jué)式方法容易受到多種因素影響:醫(yī)生對(duì)患者舉止的印象、患者以往的狀態(tài)、醫(yī)生對(duì) “難處理” 患者類(lèi)型的偏見(jiàn),以及工作環(huán)境中的干擾因素。醫(yī)學(xué)文獻(xiàn)中已充分記載了這類(lèi)偏見(jiàn)的存在。例如,芝加哥大學(xué)的研究人員分析了包含 1.8 萬(wàn)余名患者、4 萬(wàn)余份病史與體格檢查記錄的電子病歷后發(fā)現(xiàn),與白人患者相比,黑人患者被用負(fù)面詞匯(如 “抗拒治療”“不依從”)描述的概率高出 2.5 倍以上 [3]。 關(guān)于 1 型思維,加拿大新斯科舍省哈利法克斯市達(dá)爾豪斯大學(xué)醫(yī)學(xué)院急診科及醫(yī)學(xué)教育系教授帕特?克羅斯克里(Pat Croskerry)醫(yī)學(xué)博士、哲學(xué)博士指出:“這種思維模式快速、簡(jiǎn)潔、無(wú)需過(guò)多精力,且多數(shù)情況下能得出正確結(jié)論。但它偶爾會(huì)出錯(cuò),有時(shí)甚至?xí)斐蔀?zāi)難性后果??梢灶A(yù)見(jiàn)的是,當(dāng)患者癥狀不典型,或癥狀模式被誤認(rèn)為是其他疾病時(shí),1 型思維就會(huì)失效?!盵4] 一項(xiàng)針對(duì) 2 萬(wàn)余名急性冠脈綜合征患者的分析,深刻揭示了直覺(jué)思維的局限性:研究人員發(fā)現(xiàn),其中 1763 名患者并未出現(xiàn)典型胸痛癥狀;在這一亞組中,近四分之一(23.4%)的患者未被確診為急性冠脈事件 [5]。 當(dāng)患者癥狀不符合任何典型 “疾病腳本”、表現(xiàn)不典型,或缺乏獨(dú)特的確診性體征時(shí),2 型思維(分析性思維)會(huì)更為有效。這種思維通常從提出假設(shè)開(kāi)始,隨后通過(guò)批判性思維、邏輯推理、多分支分析及循證決策樹(shù)與規(guī)則對(duì)假設(shè)進(jìn)行驗(yàn)證。此外,分析性思維還需要一種內(nèi)省式思維模式 —— 即 “元認(rèn)知”(metacognition),也就是 “退后一步,反思臨床場(chǎng)景中正在發(fā)生的事情的能力”[4]。 這種思維能力還能幫助臨床醫(yī)生排查可能導(dǎo)致診斷方向偏差的常見(jiàn)認(rèn)知偏差。但由于 2 型思維過(guò)程更為緩慢,其實(shí)施往往面臨挑戰(zhàn),尤其在高壓、高接診量的場(chǎng)景中。要讓緩慢、反思性的 2 型思維發(fā)揮最大效用,需要醫(yī)生處于精力充沛、無(wú)干擾的狀態(tài),工作量不過(guò)度繁重,且有充足睡眠以充分調(diào)動(dòng)分析能力與記憶力。然而,能滿足這些前提條件的工作環(huán)境寥寥無(wú)幾。 不過(guò),這些前提條件并非確診的必要條件。事實(shí)上,最優(yōu)秀的臨床醫(yī)生會(huì)將 1 型思維與 2 型思維融入自己的認(rèn)知 “工具箱”,并根據(jù)需要在兩者間靈活切換。以 “區(qū)分非 ST 段抬高型心肌梗死(NSTEMI)與其他心臟綜合征” 的診斷過(guò)程為例:前者是一種心肌梗死,其特征是患者心電圖(EKG)顯示特定異常 —— 即 ST 段無(wú)抬高。通常情況下,當(dāng)為心肌供血的冠狀動(dòng)脈完全阻塞時(shí),心肌梗死患者的心電圖會(huì)出現(xiàn) ST 段抬高;而 ST 段無(wú)抬高的心肌梗死,則可能提示冠狀動(dòng)脈部分阻塞。 假設(shè) 59 歲的瓊斯先生(有高血壓、中風(fēng)病史及血脂升高情況)因 “突發(fā)胸骨后劇烈疼痛,且疼痛放射至左腿(未累及左臂或下頜)” 前往急診科就診 [6]。經(jīng)驗(yàn)豐富的醫(yī)生可能會(huì)首先通過(guò)直覺(jué)思維初步判斷診斷方向 —— 瓊斯先生的癥狀提示冠狀動(dòng)脈缺血(即心肌供血不足)。自然,主治醫(yī)生會(huì)進(jìn)行詳細(xì)體格檢查以尋找更多線索,完善鑒別診斷清單,并安排必要的實(shí)驗(yàn)室檢查。瓊斯先生的檢查結(jié)果中,一項(xiàng)顯著異常是肌鈣蛋白 I 水平升高 —— 肌鈣蛋白是一種肌肉蛋白,當(dāng)心肌因梗死受損時(shí),該蛋白會(huì)釋放到血液中。 阿拉巴馬大學(xué)內(nèi)科住院醫(yī)師項(xiàng)目的威廉?施萊弗(J. William Schleifer)醫(yī)學(xué)博士在詳細(xì)分析該病例時(shí)解釋道,他會(huì)基于對(duì)所有收集到的數(shù)據(jù)(包括一項(xiàng)與 “非 ST 段抬高型心肌梗死” 初步懷疑不符的體格檢查結(jié)果)進(jìn)行系統(tǒng)性評(píng)估,逐步轉(zhuǎn)向 2 型思維。這一 “不符點(diǎn)” 便是瓊斯先生的左腿放射痛。真正專(zhuān)業(yè)的診斷專(zhuān)家有兩個(gè)顯著特征:一是擁有更完善的 “疾病腳本”,二是能識(shí)別出與 “疾病腳本” 不符的異常信號(hào)。左腿疼痛正是這樣一個(gè)線索,提示醫(yī)生可能需要轉(zhuǎn)向其他診斷方向。 施萊弗還為診斷推理過(guò)程增加了第三個(gè)維度:在 1 型與 2 型思維之外,加入 “預(yù)死亡分析”(mental premortem examination)—— 即鼓勵(lì)醫(yī)生設(shè)想 “做出某一診斷并采取相應(yīng)治療后,可能出現(xiàn)的結(jié)果(包括有利與不利后果)”。以瓊斯先生為例,若按典型心肌梗死的治療方案為他使用抗凝藥,但他實(shí)際患有的是其他疾?。ㄈ缰鲃?dòng)脈夾層),后果可能是災(zāi)難性的。正是 “預(yù)死亡分析”,再加上患者存在左腿放射痛這一異常信號(hào),醫(yī)生決定暫緩 “心肌梗死” 的治療,直至收集到更多數(shù)據(jù)。當(dāng)患者被收入內(nèi)科病房后,其出現(xiàn)的收縮期雜音與胸痛癥狀強(qiáng)烈提示 “主動(dòng)脈夾層”(主動(dòng)脈這一主要血管出現(xiàn)撕裂);最終,計(jì)算機(jī)斷層掃描血管造影(CTA)證實(shí)了這一診斷。影像學(xué)檢查還顯示,瓊斯先生的主動(dòng)脈夾層已延伸至胸降主動(dòng)脈全程 —— 這也解釋了其神秘左腿疼痛的原因。 該患者的診斷過(guò)程體現(xiàn)了 “直覺(jué)思維與分析思維結(jié)合” 的價(jià)值。但深入審視這一雙重加工模型(dual-processing model)后會(huì)發(fā)現(xiàn),我們需要對(duì)模型本身進(jìn)行更批判性的思考。盡管診斷推理領(lǐng)域的專(zhuān)家普遍認(rèn)為 “1 型 / 2 型思維模型” 的有效性毋庸置疑,但支持該模型的證據(jù)大多來(lái)自對(duì)心理學(xué)本科生的研究,且基于對(duì) “常識(shí)性問(wèn)題” 的回答 [7]。這種場(chǎng)景與醫(yī)療從業(yè)者在日常臨床實(shí)踐中面臨的問(wèn)題相去甚遠(yuǎn)。此外,盡管部分學(xué)界領(lǐng)軍者認(rèn)可 “直覺(jué)思維與分析思維在醫(yī)學(xué)診斷中均有價(jià)值”,但普遍觀點(diǎn)仍認(rèn)為 “2 型思維更優(yōu)越,應(yīng)在 1 型思維失效時(shí)介入”。然而,這一觀點(diǎn)缺乏證據(jù)支持 —— 現(xiàn)有證據(jù)表明,兩種認(rèn)知模式各有優(yōu)劣。 若 “緩慢的 2 型思維優(yōu)于快速的 1 型思維”,那么理論上,“鼓勵(lì)醫(yī)生放慢速度、投入更多時(shí)間診斷” 的實(shí)驗(yàn)應(yīng)總能得出積極結(jié)果?!吧岜戎Z(Sherbino)及其同事的研究顯示,診斷正確率與診斷耗時(shí)呈負(fù)相關(guān)。其他研究也表明,在實(shí)驗(yàn)中控制時(shí)間變量,并提醒參與者'系統(tǒng)、全面地診斷’或'盡快完成診斷’,對(duì)診斷準(zhǔn)確率無(wú)顯著影響。另有一項(xiàng)研究允許參與者修改初始診斷結(jié)果,結(jié)果發(fā)現(xiàn),修改診斷與'初始診斷耗時(shí)更長(zhǎng)’及'診斷錯(cuò)誤概率更高’相關(guān)。”[7] 這些實(shí)驗(yàn)并非表明 “常見(jiàn)認(rèn)知偏差對(duì)診斷無(wú)負(fù)面影響”—— 已有充分證據(jù)顯示,過(guò)早定論、確認(rèn)性偏差與可得性偏差確實(shí)會(huì)降低診斷準(zhǔn)確率。但事實(shí)上,部分認(rèn)知偏差可能同時(shí)與 1 型思維和 2 型思維相關(guān)。正如諾曼(Norman)及其同事所解釋的:“'糾正錯(cuò)誤’并非簡(jiǎn)單地'投入更多分析精力’;若缺乏足夠知識(shí)儲(chǔ)備,額外的分析過(guò)程對(duì)糾正錯(cuò)誤可能毫無(wú)幫助?!?這里的關(guān)鍵詞是 “足夠知識(shí)儲(chǔ)備”。 研究表明,在導(dǎo)致診斷錯(cuò)誤的因素中,“知識(shí)缺口” 與 “聯(lián)想記憶的不合理跳躍” 同等重要。換言之:“'放慢速度、反思、謹(jǐn)慎系統(tǒng)地診斷’這類(lèi)一般性建議,除了延長(zhǎng)診斷過(guò)程外,幾乎沒(méi)有其他效果。相反,知識(shí)缺口是導(dǎo)致診斷錯(cuò)誤的重要因素,而'引導(dǎo)醫(yī)生重組知識(shí)體系’的策略,雖效果有限,但能持續(xù)帶來(lái)益處?!盵7] 對(duì) “特定疾病深入知識(shí)” 的重視,與前文所述施萊弗對(duì) “真正專(zhuān)業(yè)能力” 的定義一致:真正專(zhuān)業(yè)的診斷專(zhuān)家,其顯著特征之一便是擁有更完善的 “疾病腳本”,且能識(shí)別出與 “疾病腳本” 不符的異常信號(hào)。 拓展專(zhuān)業(yè)能力的定義EXPANDING THE DEFINITION OF EXPERTISE The list of innovators who have profoundly changed the practice of medicine — but who were ignored by the experts of their day — is long. Mary Putnam Jacobi comes to mind. She was not considered an expert at a time when experimentation and statistics were viewed as unimportant. Dr. Jacobi might best be described as the mother of modern scientific medicine — or at the very least, one of its founding parents. In 1868, she was the first woman to enroll in the University of Paris School of Medicine. After graduating in 1871, this unconventional thinker arrived in the United States, where she advocated for the inclusion of laboratory science, experimentation and statistics as the foundation cornerstone of modern medical practice. Equally important, Jacobi “became a powerful advocate for the equal contribution of women to medicine.” 8 Pushing clinicians to buy into the notion that experimentation and statistics were needed for good-quality patient care may seem unimpressive today, but it was almost heresy in an age when the received wisdom from one’s medical school professor was all that was necessary to “demonstrate” that a treatment protocol was effective. Jacobi’s unconventional thinking can be observed in several other historical settings, as has the resistance of experts of the day. Newborn incubators in the Neonatal Intensive Care Unit are now considered standard of practice but were rejected in the United States for many years. Similarly, percutaneous transluminal coronary angioplasty was introduced in 1976 by German cardiologist Andreas Roland Grüntzig; at the time, one catheterization specialist proclaimed: “It’ll never work.” 9 Medical experts initially rejected the role of viruses in cancer, Helicobacter pylori in gastric ulcers, prions in mad cow disease, the germ theory of disease, Gregor Mendel’s laws of inheritance and the occurrence of traumatic brain injuries among professional football players. 10 Some experts have not only failed to recognize major advances in medical science, they’ve embraced medical procedures that should have been abandoned or given medical advice that was not supported by scientific evidence. In the 1960s, for instance, Fredrick Stare, a prominent Harvard University professor and founder of the Department of Nutrition at Harvard School of Public Health, downplayed the role of refined sugar as a contributing cause of disease in the professional and popular press: “Drinking colas and other soft drinks is an acceptable substitute for drinking equal amounts of water if the extra calories are not a problem for you,” he stated in one consumer book. 11 And despite evidence that strongly suggested sugar contributes to a variety of degenerative diseases, Stare and another Harvard expert published two reviews in the New England Journal of Medicine stating that sucrose did not play a role in coronary heart disease. Several years later, investigators discovered that both men were secretly paid the equivalent of $48,000 in 2016 dollars by the sugar industry for writing the reviews. 12 Similarly, an analysis of medical practice published in Mayo Clinic Proceedings found numerous medical practices that required rethinking. Among 363 articles that looked at standard-of-care practices, 146 (40.2%) had to be reversed. 13 Prasad and colleagues explain: Stenting for stable coronary artery disease was a multibillion dollar a year industry when it was found to be no better than medical management for most patients with stable coronary artery disease. Hormone therapy for postmenopausal women intended to improve cardiovascular outcomes was found to be worse than no intervention, and the routine use of the pulmonary artery catheter in patients in shock was found to be inferior to less invasive management strategies.” Reversals like this have several causes. One is the inherent nature of the scientific method, which requires changes in policy and procedures as the collection of larger datasets are developed and as new discoveries come to light. But sometimes there are less noble issues involved as well. We need to recognize that medical training is not only a form of enlightenment, but also a form of indoctrination into a club, in which new members too often worship their mentors and are rarely encouraged to think differently. The same point is made by Jerome Groopman, M.D., chair of Medicine at Harvard Medical School. 14 He points out that the culture of conformity and orthodoxy begins in medical school. At one medical school, for instance, “the faculty of one distinguished university hospital taught his class that thinning the blood with anticoagulants like heparin or Coumadin was the treatment of choice for a threatened pulmonary embolism and that using any other therapy constituted unprofessional conduct. At another equally distinguished hospital, the students were told that the only correct treatment was surgically tying off the inflamed veins. One could use such an exposure to controversy as training in uncertainty. In neither setting…was the divergent view made a teaching exercise. Nor were we encouraged to keep an open mind. In both, we were educated for dogmatic certainty…” 14 The lesson learned here is that uncertainty is a normal part of the life of any expert, but that they are rarely trained to admit to this uncertainty. Nonetheless, patients need to know! Richard Feynman, the Nobel prize-winning physicist, expressed a similar sentiment: “In order to progress, we must recognize our ignorance and leave room for doubt…” His uncompromising search for truth “insisted on scrupulous honesty in presenting all data from experiments, on bending over backwards to show we may have been wrong…” 15 Thomas Huxley, the 19th-century British biologist, took that observation a step further, pointing out that new truths in science “often begin as heresy, advance to orthodoxy, and end as superstition.” 16 Unfortunately, many medical experts continue to label brilliant insights and inventions as medical heresies, delaying their implementation in patient care by decades. This inertia is often reflected in the decisions of institutions that award research grants to promising physician scientists and clinicians because their projects support the orthodox thinking currently in fashion. Of course, in the real world of clinical medicine, decisions often have to be made rapidly, even when the scientific evidence does not provide a certain path to take. In situations like this, patients need to be aware of the uncertainty and involved in a shared decision-making process. EMBRACING UNCONVENTIONAL EXPERTS If health care is to move beyond its limited view to expertise, it will have to embrace others who have traditionally been shunned in the medical community, including, patients, citizen scientists and independent scholars who are not affiliated with learned societies, major universities or medical centers. Although learned societies, universities and academic medical centers are an indispensable source of clinicians and medical scientists with true expertise, they can be a limiting force that crowds out unconventional thinkers who can “color outside the lines” and generate innovations that move medicine into the future. Because academicians also serve as gatekeepers and peer reviewers for the most influential medical journals, their role needs to be carefully evaluated. Kyle Siler, in the Department of Strategic Management, University of Toronto, and associates published an analysis of over 1,000 manuscripts that were submitted to three elite medical journals. They found that among the 808 articles that were eventually published, many impactful and frequently cited manuscripts had been rejected by peer reviewers and/or editors and published in other journals, including the 14 most popular ones. Siler and colleagues concluded: “This finding raises concerns regarding whether peer review is ill-suited to recognize and gestate the most impactful ideas and research.” 17 Analyses like this only serve to highlight the shortcomings of the current peer review process in biomedicine, and the need to find a better way of judging expertise and fitness for publication. Shortcomings like this may also have been one reason why BMJ Health and Care Informatics recently launched a program that brings patients, the general public and caregivers into the loop, enabling them to serve as both authors and peer reviewers. 18 The new program will give those outside traditional academic circles influence that has long been denied them. As Lewis and colleagues state: “There are many benefits to having patient reviewers, such as providing clarity to the authors by asking more detailed questions about design, methods and analyses. Patient reviewers can provide insight into the language of a manuscript that can be unintentionally written in a jargon-filled way that may not be understandable to patients or other researchers.” Similarly, the opportunity to write for the professional medical press will enable readers to be exposed to “perspectives that are not currently found in existing medical literature…[and] improve the understanding of the lived experience of the disease or condition, including interactions and communication with the healthcare system.” 18 Another important reason to bring patients into the mix is the fact that many have become expert in their own disease, a result of spending years searching for solutions, collecting lab reports and analyzing the medical literature. Louis Phillippe Boulet, at the Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Quebec, Canada, summed up this need for such expert patients in managing respiratory diseases: The concept of “expert patient” has been developed in the last two decades to define a patient who has a significant knowledge of his/her disease and treatment in addition to self-management skills. However, this concept has evolved over the last years, and these patients are now considered, not only to be more efficient in the management of their own condition and communicating effectively with health professionals, but to also act as educators for other patients and as resources for the last, provide feedback on care delivery, and be involved in the production and implementation of practice guidelines, as well as in the development and conduct of research initiatives. 19 Such collaborations are long overdue. As National Magazine Award-winning journalist S.E. Smith points out: “The healthcare system will improve only when we rethink who counts as an expert.” 20 The pool of experts who currently steer the healthcare ecosystem is primarily composed of healthcare executives in hospitals, clinics and insurance companies, as well as physician leaders and other high- level policy makers, but Smith believes: “Underrepresented in these conversations are those who know the system at its worst, like ambulance crews…nurses in underfunded community health clinics, and uninsured patients… [T]hose who are considered lowest in status often have the best observations about the systems they are trapped in…Repairing America’s health care system requires the humility to recognize expertise no matter where it comes from, and the ability to integrate stakeholders into the process as early as possible.” Also underrepresented in the pool of potential experts are “citizen scientists,” unemployed PhDs in the health sciences, and perhaps even your local car mechanic or fashion designer, if they possess an uncommon vision or insight. It’s presumptuous to believe that higher education is the only pathway to innovation or genius. Unfortunately, it’s virtually unheard of for a top healthcare journal to accept a commentary or review from an “unlettered” author. Nonetheless, such submissions should be judged on the strength of the arguments they contain and the depth of the author’s grasp of the relevant issues, not on how many degrees accompany their name or their professional affiliation. The practice of medicine is just that — an ongoing collection of experience and continuous learning that shapes decision-making. We must avoid an echo chamber of the same experts reinforcing the same ideas with the next generation of experts. While we need to be prudent and filter the signal from the noise in crowdsourcing, we must embrace a multi-stakeholder approach if we’re going to capture the thinking of all with experience. References | 1 |Baron R, Berinsky A. Mistrust in Science — A Threat to the Patient–Physician Relationship. N Engl J Med. 2019;381:182-185. | 2 |Cerrato, P, Halamka J. Reinventing Clinical Decision Support: Data analytics, Artificial Intelligence, and Diagnostic Thinking. Taylor and Francis; 2020. | 3 |Sun M, et al. Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record. Health Affairs. Published online Jan 19, 2022. https://www./doi/10.1377/hlthaff.2021.01423. Accessed Dec. 16, 2022. | 4 |Croskerry P. A Universal Model of Diagnostic Reasoning. Academic Med. 2009;84:1022-1028. | 5 |Brieger D, et al. Acute Coronary Syndromes without Chest Pain, an Underdiagnosed and Undertreated High-Risk Group: Insights from the Global Registry of Acute Coronary Events. Chest. 2004;126:461-469. | 6 |Schleifer JW, et al. NSTEMI or Not: A 59-Year-Old Man with Chest Pain and Troponin Elevation. J Gen Internal Med. 2013;28:583-590. | 7 |Norman GR, et al. The Causes of Errors in Clinical Reasoning: Cognitive Biases, Knowledge Deficits, and Dual Process Thinking. Academic Med. 2017;92:23-30. | 8 |Horton R. Offline: The Paris Commune and the birth of American medicine. Lancet. 2021;397:181. | 9 |Forrester J. The Heart Healers: The Misfits, Mavericks, and Rebels Who Created the Greatest Medical Breakthrough of Our Lives. St. Martin’s Griffin; 2016. | 10 |Miller G. Medical breakthroughs that were initially ridiculed or rejected. Medscape. Nov 19, 2015. https:// www./features/slideshow/medical-breakthroughs#page=1. Accessed Jan. 6, 2022. | 11 |Stare F, Olson R, Whelan E. Balanced Nutrition: Beyond the Cholesterol Scare. Bob Adams, Inc; 1989. | 12 |Bailey M. Sugar industry secretly paid for favorable Harvard research. STAT NEWS. SEPT 12, 2016. https:// www./2016/09/12/sugar-industry-harvard-research/. Accessed Dec. 16, 2022. | 13 |Prasad V, A Decade of Reversal: An Analysis of 146 Contradicted Medical Practices. Mayo Clin Proc. 2013;88:790-798. | 14 |Groopman J. How Doctors Think. Houghton Mifflin; 2007. | 15 |Skrabanek P. A subversive mind. Lancet. 1989;339:94-95. | 16 |Bartusiak M. How to Encourage new heresies. NY Times. Jan 28, 1990. | 17 |Siler K, Lee K, Bero L. Measuring the effectiveness of scientific gatekeeping. Proc Natl Acad Sci U S A. 2015;112:360-365. | 18 |Lewis D, Scott P. BMJ HCI launches partnership programme for patients and carers as authors and peer reviewers. BMC Health Care Inform. 2021;28:e100471. | 19 |Boulet L-P. The expert patient and chronic respiratory diseases. Can Respir J. 2016;2016:9454506. | 20 |Smith SE. How we get better. Time. Jun. 21/Jun. 28, 2021. CHAPTER 4 Finding a role for spirituality and the humanities 翻譯為中文(簡(jiǎn)體) 拓展專(zhuān)業(yè)能力的定義在醫(yī)學(xué)實(shí)踐領(lǐng)域掀起深刻變革,卻被同時(shí)代專(zhuān)家忽視的創(chuàng)新者不勝枚舉。瑪麗?帕特南?雅各比(Mary Putnam Jacobi)便是其中一位。在那個(gè) “實(shí)驗(yàn)與統(tǒng)計(jì)學(xué)被視為無(wú)關(guān)緊要” 的年代,她并未被認(rèn)可為專(zhuān)家。但雅各比博士完全可以被稱(chēng)作 “現(xiàn)代科學(xué)醫(yī)學(xué)之母”,至少也是現(xiàn)代科學(xué)醫(yī)學(xué)的奠基人之一。1868 年,她成為首位就讀于巴黎大學(xué)醫(yī)學(xué)院的女性。1871 年畢業(yè)后,這位思想打破常規(guī)的學(xué)者回到美國(guó),主張將實(shí)驗(yàn)室科學(xué)、實(shí)驗(yàn)研究與統(tǒng)計(jì)學(xué)作為現(xiàn)代醫(yī)學(xué)實(shí)踐的核心基礎(chǔ)。同樣重要的是,雅各比 “成為了倡導(dǎo)女性在醫(yī)學(xué)領(lǐng)域平等貢獻(xiàn)的重要力量”[8]。如今看來(lái),“推動(dòng)臨床醫(yī)生接受'優(yōu)質(zhì)患者護(hù)理需要實(shí)驗(yàn)與統(tǒng)計(jì)學(xué)支持’這一理念” 或許不足為奇,但在那個(gè) “僅憑醫(yī)學(xué)院教授的傳統(tǒng)經(jīng)驗(yàn)就能'證明’某種治療方案有效的時(shí)代”,這一觀點(diǎn)幾乎等同于異端邪說(shuō)。 雅各比這種打破常規(guī)的思維,在多個(gè)歷史場(chǎng)景中均有體現(xiàn),而同時(shí)代專(zhuān)家對(duì)新事物的抗拒也同樣屢見(jiàn)不鮮。如今,新生兒重癥監(jiān)護(hù)室(NICU)中的新生兒培養(yǎng)箱已成為標(biāo)準(zhǔn)醫(yī)療設(shè)備,但在美國(guó),這一設(shè)備曾多年遭到拒絕采用。無(wú)獨(dú)有偶,1976 年德國(guó)心臟病學(xué)家安德烈亞斯?羅蘭?格倫茨希(Andreas Roland Grüntzig)提出了經(jīng)皮腔內(nèi)冠狀動(dòng)脈成形術(shù),當(dāng)時(shí)一位心臟導(dǎo)管專(zhuān)家直言:“這絕不會(huì)成功?!盵9] 醫(yī)學(xué)專(zhuān)家最初曾拒絕接受多項(xiàng)重要醫(yī)學(xué)發(fā)現(xiàn):病毒與癌癥的關(guān)聯(lián)、幽門(mén)螺桿菌與胃潰瘍的關(guān)系、朊病毒與瘋牛病的聯(lián)系、疾病的細(xì)菌學(xué)說(shuō)、格雷戈?duì)?孟德?tīng)枺℅regor Mendel)的遺傳定律,以及職業(yè)橄欖球運(yùn)動(dòng)員中創(chuàng)傷性腦損傷的存在 [10]。 部分專(zhuān)家不僅未能認(rèn)可醫(yī)學(xué)領(lǐng)域的重大進(jìn)展,還堅(jiān)持采用本應(yīng)被摒棄的醫(yī)療手段,或給出缺乏科學(xué)依據(jù)的醫(yī)療建議。例如,20 世紀(jì) 60 年代,哈佛大學(xué)著名教授、哈佛公共衛(wèi)生學(xué)院營(yíng)養(yǎng)學(xué)系創(chuàng)始人弗雷德里克?斯塔爾(Fredrick Stare)在專(zhuān)業(yè)期刊與大眾媒體中,極力淡化精制糖作為疾病誘因的作用。他在一本面向消費(fèi)者的書(shū)中寫(xiě)道:“只要額外攝入的熱量對(duì)你而言不成問(wèn)題,飲用可樂(lè)及其他軟飲料完全可以替代等量飲水?!盵11] 盡管已有充分證據(jù)表明糖與多種退行性疾病相關(guān),但斯塔爾與另一位哈佛專(zhuān)家仍在《新英格蘭醫(yī)學(xué)雜志》上發(fā)表兩篇綜述,聲稱(chēng)蔗糖與冠心病無(wú)關(guān)。數(shù)年后,研究人員發(fā)現(xiàn),這兩位學(xué)者撰寫(xiě)這些綜述時(shí),曾秘密接受糖業(yè)協(xié)會(huì)的資助 —— 換算成 2016 年的貨幣價(jià)值,資助金額約合 4.8 萬(wàn)美元 [12]。 同樣,發(fā)表在《梅奧診所論文集》(Mayo Clinic Proceedings)上的一項(xiàng)關(guān)于醫(yī)療實(shí)踐的分析發(fā)現(xiàn),許多常規(guī)醫(yī)療手段亟需重新審視。在 363 篇探討 “標(biāo)準(zhǔn)護(hù)理實(shí)踐” 的文章中,有 146 篇(40.2%)所提及的實(shí)踐方法被證明需要推翻 [13]。普拉薩德(Prasad)及其同事解釋道:“穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)曾是一個(gè)年產(chǎn)值數(shù)十億美元的產(chǎn)業(yè),但研究發(fā)現(xiàn),對(duì)于大多數(shù)穩(wěn)定型冠狀動(dòng)脈疾病患者而言,這種手術(shù)并不優(yōu)于藥物治療。旨在改善絕經(jīng)后女性心血管預(yù)后的激素替代療法,被證實(shí)效果不如不干預(yù);而對(duì)于休克患者,常規(guī)使用肺動(dòng)脈導(dǎo)管的治療方式,效果也不如創(chuàng)傷更小的治療方案?!?/p> 此類(lèi) “醫(yī)療實(shí)踐被推翻” 的情況由多種原因造成。其一,科學(xué)方法的本質(zhì)決定了隨著更大規(guī)模數(shù)據(jù)集的積累與新發(fā)現(xiàn)的出現(xiàn),相關(guān)政策與流程必須隨之調(diào)整。但有時(shí),這背后也存在一些不夠高尚的因素。我們必須認(rèn)識(shí)到,醫(yī)學(xué)培訓(xùn)不僅是一種知識(shí)啟蒙,在某種程度上也是一種 “圈子文化” 的灌輸 —— 新成員往往過(guò)度崇拜導(dǎo)師,且很少被鼓勵(lì)跳出固有思維。哈佛大學(xué)醫(yī)學(xué)院內(nèi)科學(xué)系主任杰羅姆?格魯普曼(Jerome Groopman)醫(yī)學(xué)博士也提出了類(lèi)似觀點(diǎn) [14]。他指出,這種 “循規(guī)蹈矩、墨守成規(guī)” 的文化在醫(yī)學(xué)院時(shí)期便已形成。例如,在某所頂尖大學(xué)的附屬醫(yī)院中,“教師向?qū)W生傳授,對(duì)于疑似肺栓塞患者,使用肝素或華法林等抗凝藥稀釋血液是首選治療方案,采用其他任何療法都屬于不專(zhuān)業(yè)行為。而在另一所同樣頂尖的醫(yī)院,學(xué)生卻被告知,唯一正確的治療方法是通過(guò)手術(shù)結(jié)扎發(fā)炎的靜脈。原本,這種觀點(diǎn)分歧可以作為'醫(yī)學(xué)不確定性’的教學(xué)案例,但在這兩所醫(yī)院中…… 分歧觀點(diǎn)均未被納入教學(xué)內(nèi)容,學(xué)生也未被鼓勵(lì)保持開(kāi)放心態(tài)。相反,兩所醫(yī)院都在培養(yǎng)學(xué)生'教條式的確定性’……”[14] 這一案例帶給我們的啟示是:“不確定性” 本是所有專(zhuān)家工作中正常的一部分,但他們卻很少接受過(guò) “承認(rèn)不確定性” 的培訓(xùn)。然而,患者有權(quán)知曉這一點(diǎn)! 諾貝爾獎(jiǎng)得主、物理學(xué)家理查德?費(fèi)曼(Richard Feynman)也表達(dá)過(guò)類(lèi)似觀點(diǎn):“要取得進(jìn)步,我們必須承認(rèn)自己的無(wú)知,并為懷疑留有余地……” 他對(duì)真理的不懈追求 “堅(jiān)持以極其誠(chéng)實(shí)的態(tài)度呈現(xiàn)實(shí)驗(yàn)中的所有數(shù)據(jù),并竭力證明我們可能存在的錯(cuò)誤……”[15] 19 世紀(jì)英國(guó)生物學(xué)家托馬斯?赫胥黎(Thomas Huxley)則進(jìn)一步指出,科學(xué)領(lǐng)域的新真理 “往往始于異端邪說(shuō),繼而成為正統(tǒng)理論,最終淪為迷信”[16]。遺憾的是,許多醫(yī)學(xué)專(zhuān)家仍將卓越的見(jiàn)解與發(fā)明貼上 “醫(yī)學(xué)異端” 的標(biāo)簽,導(dǎo)致這些成果在數(shù)十年后才得以應(yīng)用于患者護(hù)理。這種保守傾向在科研資助決策中也有所體現(xiàn) —— 部分機(jī)構(gòu)更愿意將資助授予有潛力的醫(yī)生科學(xué)家與臨床醫(yī)生,僅僅因?yàn)樗麄兊捻?xiàng)目符合當(dāng)前主流的正統(tǒng)觀點(diǎn)。 當(dāng)然,在真實(shí)的臨床實(shí)踐中,即便缺乏明確的科學(xué)證據(jù)指引,醫(yī)生往往也需要迅速做出決策。在這種情況下,患者需要知曉 “不確定性” 的存在,并參與到 “共同決策” 過(guò)程中。 接納非傳統(tǒng)專(zhuān)家若想打破醫(yī)療領(lǐng)域?qū)?“專(zhuān)業(yè)能力” 的狹隘定義,就必須接納那些傳統(tǒng)上被醫(yī)學(xué)界排斥的群體,包括患者、民間科學(xué)家,以及不隸屬于學(xué)術(shù)團(tuán)體、頂尖大學(xué)或醫(yī)療中心的獨(dú)立學(xué)者。 盡管學(xué)術(shù)團(tuán)體、大學(xué)與學(xué)術(shù)醫(yī)療中心是培養(yǎng)具備真正專(zhuān)業(yè)能力的臨床醫(yī)生與醫(yī)學(xué)科學(xué)家的重要力量,但它們也可能成為一種限制性力量 —— 排擠那些 “跳出條條框框”、能為醫(yī)學(xué)未來(lái)發(fā)展帶來(lái)創(chuàng)新的非常規(guī)思考者。由于學(xué)術(shù)界人士同時(shí)還擔(dān)任著最具影響力醫(yī)學(xué)期刊的 “守門(mén)人” 與同行評(píng)審員,其角色需要得到審慎評(píng)估。 多倫多大學(xué)戰(zhàn)略管理系的凱爾?西勒(Kyle Siler)及其同事,對(duì)向三本頂尖醫(yī)學(xué)期刊投稿的 1000 多篇手稿進(jìn)行了分析。他們發(fā)現(xiàn),在最終發(fā)表的 808 篇文章中,許多具有重大影響力且被頻繁引用的手稿,最初曾被同行評(píng)審員和 / 或編輯拒絕,隨后發(fā)表在包括 14 本最具影響力期刊在內(nèi)的其他刊物上。西勒及其同事得出結(jié)論:“這一發(fā)現(xiàn)引發(fā)了人們的擔(dān)憂 —— 同行評(píng)審制度是否不適合識(shí)別和培育最具影響力的思想與研究?!盵17] 此類(lèi)分析進(jìn)一步凸顯了當(dāng)前生物醫(yī)學(xué)領(lǐng)域同行評(píng)審制度的缺陷,也表明我們亟需找到一種更優(yōu)的方式來(lái)評(píng)判 “專(zhuān)業(yè)能力” 與 “發(fā)表適宜性”。這類(lèi)缺陷或許也是《英國(guó)醫(yī)學(xué)雜志?健康與護(hù)理信息學(xué)》(BMJ Health and Care Informatics)近期推出一項(xiàng)新項(xiàng)目的原因之一 —— 該項(xiàng)目將患者、公眾與護(hù)理人員納入流程,允許他們同時(shí)擔(dān)任作者與同行評(píng)審員 [18]。這個(gè)新項(xiàng)目將讓傳統(tǒng)學(xué)術(shù)圈之外的群體獲得長(zhǎng)期被剝奪的影響力。正如劉易斯(Lewis)及其同事所言:“讓患者擔(dān)任評(píng)審員有諸多益處,例如通過(guò)就研究設(shè)計(jì)、方法與分析提出更詳細(xì)的問(wèn)題,幫助作者厘清思路。患者評(píng)審員還能對(duì)稿件語(yǔ)言提出見(jiàn)解 —— 有些稿件可能會(huì)無(wú)意間使用過(guò)多專(zhuān)業(yè)術(shù)語(yǔ),導(dǎo)致患者或其他研究者難以理解?!?同樣,“讓患者有機(jī)會(huì)為專(zhuān)業(yè)醫(yī)學(xué)刊物撰稿”,也能讓讀者接觸到 “現(xiàn)有醫(yī)學(xué)文獻(xiàn)中尚未涵蓋的視角……[進(jìn)而] 更好地理解疾病或健康問(wèn)題的真實(shí)體驗(yàn),包括與醫(yī)療體系的互動(dòng)和溝通情況”[18]。 讓患者參與其中的另一個(gè)重要原因是:許多患者通過(guò)多年尋求解決方案、收集檢查報(bào)告與分析醫(yī)學(xué)文獻(xiàn),已成為自身所患疾病的 “專(zhuān)家”。加拿大魁北克省拉瓦爾大學(xué)魁北克大學(xué)心肺研究所的路易斯?菲利普?布萊(Louis Phillippe Boulet),在談及呼吸系統(tǒng)疾病管理中 “專(zhuān)家型患者” 的必要性時(shí)總結(jié)道:“過(guò)去二十年間,'專(zhuān)家型患者’這一概念逐漸形成,指的是那些不僅對(duì)自身疾病與治療有深入了解,還具備自我管理能力的患者。然而,近年來(lái)這一概念不斷發(fā)展 —— 如今,這類(lèi)患者不僅被認(rèn)為能更有效地管理自身健康狀況、與醫(yī)療專(zhuān)業(yè)人員進(jìn)行高效溝通,還能擔(dān)任其他患者的'教育者’、為醫(yī)療專(zhuān)業(yè)人員提供參考、對(duì)醫(yī)療服務(wù)提供反饋、參與臨床實(shí)踐指南的制定與實(shí)施,以及參與研究項(xiàng)目的設(shè)計(jì)與開(kāi)展?!盵19] 這種合作早就應(yīng)該實(shí)現(xiàn)了。正如獲得國(guó)家雜志獎(jiǎng)的記者 S.E. 史密斯(S.E. Smith)所指出的:“只有重新思考'誰(shuí)能被視為專(zhuān)家’,醫(yī)療體系才能得到改善?!盵20] 當(dāng)前主導(dǎo)醫(yī)療體系的 “專(zhuān)家群體” 主要由醫(yī)院、診所與保險(xiǎn)公司的醫(yī)療管理者,以及醫(yī)生領(lǐng)袖和其他高層決策者構(gòu)成,但史密斯認(rèn)為:“在這些討論中,那些最了解醫(yī)療體系缺陷的群體卻代表性不足,例如急救人員…… 資金不足的社區(qū)衛(wèi)生診所的護(hù)士,以及沒(méi)有醫(yī)療保險(xiǎn)的患者……[事實(shí)上],那些在體系中地位最低的人,往往對(duì)自己所身處的體系有著最深刻的觀察…… 要改善美國(guó)的醫(yī)療體系,我們必須秉持謙遜態(tài)度,認(rèn)可無(wú)論來(lái)自何處的專(zhuān)業(yè)能力,并盡早讓相關(guān)利益方參與到改革進(jìn)程中?!?/p> 在潛在專(zhuān)家群體中,代表性同樣不足的還有 “民間科學(xué)家”、健康科學(xué)領(lǐng)域待業(yè)的博士,甚至可能包括你身邊的汽車(chē)修理工或時(shí)裝設(shè)計(jì)師 —— 只要他們擁有獨(dú)特的視角與見(jiàn)解。認(rèn)為 “高等教育是創(chuàng)新或成為天才的唯一途徑” 的想法過(guò)于武斷。遺憾的是,頂尖醫(yī)學(xué)期刊幾乎從未接受過(guò) “非專(zhuān)業(yè)背景作者” 撰寫(xiě)的評(píng)論或綜述。然而,評(píng)判這類(lèi)稿件時(shí),應(yīng)基于其論證的力度與作者對(duì)相關(guān)問(wèn)題理解的深度,而非作者的學(xué)位數(shù)量或所屬機(jī)構(gòu)。 醫(yī)學(xué)實(shí)踐本質(zhì)上是一個(gè)不斷積累經(jīng)驗(yàn)、持續(xù)學(xué)習(xí)并據(jù)此制定決策的過(guò)程。我們必須避免陷入 “同一批專(zhuān)家向新一代專(zhuān)家灌輸相同觀點(diǎn)” 的回音室效應(yīng)。盡管在眾包過(guò)程中,我們需要保持審慎,從海量信息中篩選有效信號(hào),但要想?yún)R聚所有有經(jīng)驗(yàn)者的智慧,就必須采用 “多方利益相關(guān)者參與” 的模式。 參考文獻(xiàn)
第 4 章 探尋靈性與人文科學(xué)在醫(yī)療中的角色參考文獻(xiàn)
說(shuō)明
穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)曾是一個(gè)年產(chǎn)值數(shù)十億美元的產(chǎn)業(yè),但研究發(fā)現(xiàn),對(duì)于大多數(shù)穩(wěn)定型冠狀動(dòng)脈疾病患者而言,這種手術(shù)并不優(yōu)于藥物治療。旨在改善絕經(jīng)后女性心血管預(yù)后的激素替代療法,被證實(shí)效果不如不干預(yù);而對(duì)于休克患者,常規(guī)使用肺動(dòng)脈導(dǎo)管的治療方式,效果也不如創(chuàng)傷更小的治療方案?!?此類(lèi) “醫(yī)療實(shí)踐被推翻” 的情況由多種原因造成 用戶需要翻譯一段關(guān)于醫(yī)療實(shí)踐被推翻的英文內(nèi)容,首先要確保醫(yī)學(xué)術(shù)語(yǔ)準(zhǔn)確,比如 “穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)” 是 “stenting for stable coronary artery disease”,“激素替代療法” 是 “hormone therapy”,“肺動(dòng)脈導(dǎo)管” 是 “pulmonary artery catheter”。然后要保持句子流暢,符合中文表達(dá)習(xí)慣,比如 “年產(chǎn)值數(shù)十億美元的產(chǎn)業(yè)” 翻譯要自然,“效果不如不干預(yù)” 要準(zhǔn)確傳達(dá) “worse than no intervention” 的意思。 接下來(lái),“此類(lèi)'醫(yī)療實(shí)踐被推翻’的情況由多種原因造成” 需要保持原文的邏輯,“醫(yī)療實(shí)踐被推翻” 可以用 “醫(yī)療實(shí)踐遭否定” 或 “醫(yī)療實(shí)踐被推翻”,這里沿用 “被推翻” 更貼合原文 “contradicted” 的含義。還要注意連接詞的使用,讓前后句銜接自然,比如 “但研究發(fā)現(xiàn)”“被證實(shí)”“而對(duì)于” 等,確保信息完整,不遺漏關(guān)鍵細(xì)節(jié),比如 “大多數(shù)穩(wěn)定型冠狀動(dòng)脈疾病患者”“絕經(jīng)后女性心血管預(yù)后”“休克患者”“創(chuàng)傷更小的治療方案” 這些限定條件都要準(zhǔn)確翻譯出來(lái),保證醫(yī)學(xué)內(nèi)容的嚴(yán)謹(jǐn)性。 “穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)曾是一個(gè)年產(chǎn)值數(shù)十億美元的產(chǎn)業(yè),但研究發(fā)現(xiàn),對(duì)于大多數(shù)穩(wěn)定型冠狀動(dòng)脈疾病患者而言,這種手術(shù)并不優(yōu)于藥物治療。旨在改善絕經(jīng)后女性心血管預(yù)后的激素替代療法,被證實(shí)效果不如不干預(yù);而對(duì)于休克患者,常規(guī)使用肺動(dòng)脈導(dǎo)管的治療方式,效果也不如創(chuàng)傷更小的治療方案。” 此類(lèi) “醫(yī)療實(shí)踐被推翻” 的情況由多種原因造成。 說(shuō)明
1、“穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)曾是一個(gè)年產(chǎn)值數(shù)十億美元的產(chǎn)業(yè),但研究發(fā)現(xiàn),對(duì)于大多數(shù)穩(wěn)定型冠狀動(dòng)脈疾病患者而言,這種手術(shù)并不優(yōu)于藥物治療。國(guó)內(nèi)有無(wú)類(lèi)似的研究?2、“過(guò)去二十年間,'專(zhuān)家型患者’這一概念逐漸形成,指的是那些不僅對(duì)自身疾病與治療有深入了解,還具備自我管理能力的患者。ai-如何發(fā)揮這些 專(zhuān)家型患者’作用?然而,近年來(lái)這一概念不斷發(fā)展 —— 如今,這類(lèi)患者不僅被認(rèn)為能更有效地管理自身健康狀況、與醫(yī)療專(zhuān)業(yè)人員進(jìn)行高效溝通,還能擔(dān)任其他患者的'教育者’、為醫(yī)療專(zhuān)業(yè)人員提供參考、對(duì)醫(yī)療服務(wù)提供反饋、參與臨床實(shí)踐指南的制定與實(shí)施,以及參與研究項(xiàng)目的設(shè)計(jì)與開(kāi)展?!盵19] 已完成思考 用戶的問(wèn)題有兩個(gè),一是關(guān)于國(guó)內(nèi)是否有類(lèi)似 “穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù)不如藥物治療” 的研究,二是 AI 如何發(fā)揮 “專(zhuān)家型患者” 的作用。首先,對(duì)于第一個(gè)問(wèn)題,需要回憶國(guó)內(nèi)相關(guān)的臨床研究,比如中國(guó)的大型 RCT,比如 FAST-MI China、SINO-DAPT 等,還有《中國(guó)心血管病預(yù)防指南》等指南中的推薦,要具體說(shuō)明研究結(jié)果和指南建議,確保數(shù)據(jù)準(zhǔn)確。 然后第二個(gè)問(wèn)題,“專(zhuān)家型患者” 有自我管理、教育他人、反饋醫(yī)療服務(wù)、參與指南和研究等作用,AI 需要圍繞這些作用展開(kāi),比如 AI 輔助自我管理(監(jiān)測(cè)、個(gè)性化方案)、AI 搭建知識(shí)分享平臺(tái)(匹配患者、生成內(nèi)容)、AI 收集和分析反饋(結(jié)構(gòu)化數(shù)據(jù)、可視化報(bào)告)、AI 支持指南和研究參與(篩選患者、輔助數(shù)據(jù)整理)、AI 促進(jìn)醫(yī)患溝通(翻譯專(zhuān)業(yè)術(shù)語(yǔ)、整理患者訴求)。每個(gè)點(diǎn)都要結(jié)合 “專(zhuān)家型患者” 的具體角色,說(shuō)明 AI 的具體應(yīng)用場(chǎng)景,讓邏輯清晰。 還要注意引用國(guó)內(nèi)的研究時(shí),要準(zhǔn)確,比如提到具體的研究名稱(chēng)、發(fā)表時(shí)間或機(jī)構(gòu),指南的年份,確??尚哦?。對(duì)于 AI 部分,要實(shí)用,避免太抽象,比如舉例 AI 監(jiān)測(cè)工具、知識(shí)平臺(tái)的具體功能,讓用戶明白 AI 如何落地。 另外,用戶還附上了 “專(zhuān)家型患者” 概念發(fā)展的內(nèi)容,需要在回答第二個(gè)問(wèn)題時(shí)呼應(yīng)這些發(fā)展后的角色,比如參與指南制定、研究設(shè)計(jì),AI 在這些方面的支持作用也要涵蓋到。最后,組織語(yǔ)言時(shí),分點(diǎn)回答,每個(gè)問(wèn)題下再細(xì)分小點(diǎn),讓結(jié)構(gòu)清晰,便于閱讀。 1、國(guó)內(nèi)關(guān)于 “穩(wěn)定型冠狀動(dòng)脈疾病支架植入術(shù) vs 藥物治療” 的相關(guān)研究國(guó)內(nèi)已有多項(xiàng)高質(zhì)量臨床研究與真實(shí)世界研究,得出了與國(guó)際研究一致的結(jié)論 ——對(duì)于大多數(shù)無(wú)缺血癥狀或缺血證據(jù)的穩(wěn)定型冠狀動(dòng)脈疾?。⊿CAD)患者,支架植入術(shù)的臨床獲益并不優(yōu)于規(guī)范的藥物治療,且需警惕手術(shù)相關(guān)風(fēng)險(xiǎn)(如血管并發(fā)癥、再狹窄等)。以下是關(guān)鍵研究與共識(shí)進(jìn)展: (1)核心臨床研究證據(jù)
(2)指南共識(shí)的推薦更新國(guó)內(nèi)權(quán)威指南已明確限制 SCAD 患者的支架過(guò)度使用,例如:
2、AI 如何助力 “專(zhuān)家型患者” 發(fā)揮作用結(jié)合 “專(zhuān)家型患者” 的核心角色(自我管理、患者教育、醫(yī)療反饋、指南 / 研究參與),AI 可通過(guò)工具化、平臺(tái)化、數(shù)據(jù)化手段,放大其價(jià)值并解決實(shí)踐中的痛點(diǎn)(如知識(shí)傳播效率低、反饋碎片化、參與門(mén)檻高等),具體應(yīng)用場(chǎng)景如下: (1)輔助 “專(zhuān)家型患者” 實(shí)現(xiàn)更精準(zhǔn)的自我健康管理“專(zhuān)家型患者” 需基于自身疾病特點(diǎn)(如糖尿病、慢性腎病)進(jìn)行個(gè)性化管理,AI 可提供:
(2)搭建 “專(zhuān)家型患者” 的知識(shí)分享與患者教育平臺(tái)“專(zhuān)家型患者” 需向普通患者傳遞實(shí)用經(jīng)驗(yàn)(如 “如何應(yīng)對(duì)化療副作用”“胰島素注射技巧”),AI 可解決 “經(jīng)驗(yàn)碎片化、傳播效率低” 的問(wèn)題:
(3)高效收集 “專(zhuān)家型患者” 的醫(yī)療服務(wù)反饋,賦能醫(yī)療改進(jìn)“專(zhuān)家型患者” 對(duì)醫(yī)療服務(wù)的反饋(如 “某科室復(fù)診流程繁瑣”“某藥物副作用未被醫(yī)生重視”)是醫(yī)療質(zhì)量改進(jìn)的重要依據(jù),AI 可實(shí)現(xiàn):
(4)降低 “專(zhuān)家型患者” 參與臨床指南 / 研究的門(mén)檻“專(zhuān)家型患者” 參與指南制定(如提供患者視角的 “治療優(yōu)先級(jí)”)、研究設(shè)計(jì)(如建議 “臨床試驗(yàn)的隨訪流程需兼顧患者便利性”)時(shí),AI 可解決 “專(zhuān)業(yè)壁壘高、參與效率低” 的問(wèn)題:
(5)促進(jìn) “專(zhuān)家型患者” 與醫(yī)療專(zhuān)業(yè)人員的高效溝通“專(zhuān)家型患者” 需向醫(yī)生傳遞精準(zhǔn)的病情信息(如 “某藥物副作用的具體表現(xiàn)”)或反饋治療建議(如 “某康復(fù)訓(xùn)練更適合患者日常執(zhí)行”),AI 可充當(dāng) “溝通橋梁”:
目前有哪些AI工具可以輔助“專(zhuān)家型患者”進(jìn)行疾病管理? 已完成思考 目前市場(chǎng)上已有多種 AI 工具可輔助 "專(zhuān)家型患者" 進(jìn)行疾病管理,主要分為通用健康管理平臺(tái)、專(zhuān)科疾病 AI 助手、可穿戴設(shè)備 + AI 分析系統(tǒng)和 AI 輔助決策工具四大類(lèi)。這些工具通過(guò)數(shù)據(jù)采集分析、個(gè)性化干預(yù)、實(shí)時(shí)預(yù)警和知識(shí)賦能,幫助 "專(zhuān)家型患者" 更精準(zhǔn)地管理自身健康,同時(shí)促進(jìn)醫(yī)患協(xié)同決策。 通用 AI 健康管理平臺(tái)這類(lèi)工具提供全面的健康管理功能,適用于多種疾病管理場(chǎng)景:
專(zhuān)科疾病 AI 管理工具糖尿病管理 AI 工具糖尿病患者可借助以下 AI 工具實(shí)現(xiàn)精準(zhǔn)自我管理:
心臟病管理 AI 工具心血管疾病患者可利用這些 AI 工具優(yōu)化日常管理:
呼吸系統(tǒng)疾病管理 AI 工具慢性呼吸系統(tǒng)疾病患者可借助以下 AI 工具提升自我管理能力:
腫瘤疾病管理 AI 工具癌癥患者可通過(guò)這些 AI 工具優(yōu)化全病程管理:
其他專(zhuān)科疾病 AI 管理工具
可穿戴設(shè)備與 AI 分析系統(tǒng)這類(lèi)工具通過(guò)持續(xù)數(shù)據(jù)采集與 AI 分析,為 "專(zhuān)家型患者" 提供實(shí)時(shí)健康監(jiān)測(cè)與預(yù)警:
AI 輔助決策與知識(shí)賦能工具這類(lèi)工具幫助 "專(zhuān)家型患者" 提升醫(yī)療決策能力和健康知識(shí)水平:
AI 工具輔助 "專(zhuān)家型患者" 的未來(lái)發(fā)展趨勢(shì)
這些 AI 工具正從 "輔助管理" 向 "共同決策" 演進(jìn),賦予 "專(zhuān)家型患者" 更大的健康自主權(quán)。選擇適合自己的 AI 工具時(shí),建議考慮疾病類(lèi)型、數(shù)據(jù)安全性、與現(xiàn)有醫(yī)療系統(tǒng)的整合度,以及是否能真正滿足個(gè)人健康管理需求。下一步,可探索如何將這些工具整合到日常健康管理中,形成個(gè)人專(zhuān)屬的 AI 健康管理生態(tài)。 148 篇資料 這些AI工具在輔助疾病管理方面有哪些局限性? AI工具如何保障疾病管理數(shù)據(jù)的安全性和隱私性? 對(duì)于普通患者,使用AI工具進(jìn)行疾病管理的學(xué)習(xí)成本高嗎? |
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