患者數(shù)據(jù)安全的重要性:谷歌Deep mind和英國(guó)NHS合作數(shù)據(jù)不合法

https://m.firstwordpharma.com/google-deepmind-royal-free-nhs-trial-failed-comply-uk-privacy-law

Royal Free NHS Foundation Trust提供了160萬(wàn)患者病歷數(shù)據(jù)給谷歌Deepmind夫椭,作為急性腎衰竭檢測(cè)APP Streams的測(cè)試的一部分,英國(guó)信息專員辦公室( UK's Information Commissioner's Office)判定Royal Free NHS Foundation Trust這個(gè)行為違反了數(shù)據(jù)保護(hù)法案栋艳。這給英國(guó)人工智能公司以沉重打擊,沒(méi)有數(shù)據(jù),所有AI都不行胡嘿。在這一點(diǎn)上匀谣,美國(guó)看起來(lái)更開(kāi)放些,IBM科贬、Flatiron等公司都獲取過(guò)不等數(shù)量的病歷數(shù)據(jù)泳梆,還沒(méi)有哪個(gè)政府部門(mén)指控它們。

原文如下:

Google DeepMind, Royal Free NHS trial failed to comply with UK privacy law

Ref: ICO;BBC News;The Verge;CNBC;The INQUIRER;Sky News;London South East;Business Insider

The UK's Information Commissioner's Office (ICO) ruled Monday that Royal Free NHS Foundation Trust violated the Data Protection Act when it provided personal data of around 1.6 million patients to Google DeepMind as part of a trial testing the Streams app designed to detect acute kidney injury. Elizabeth Denham, the ICO's information commissioner, remarked that "there's no doubt the huge potential that creative use of data could have on patient care and clinical improvements, but the price of innovation does not need to be the erosion of fundamental privacy rights."

In May 2016, a report indicated that information on 1.6 million patients at London hospitals had been passed on to DeepMind as part of a formerly undisclosed data-sharing agreement between the artificial intelligence company and the NHS. Last November, the parties announced that they expanded their collaboration to improve patient outcomes with the Streams app. According to the ICO, the app was moved to live deployment in February this year, "and it is now in active use by Royal Free clinicians."

Denham noted that "our investigation found a number of shortcomings in the way patient records were shared for this trial. Patients would not have reasonably expected their information to have been used in this way, and the Trust could and should have been far more transparent with patients as to what was happening." She added "we've asked the Trust to commit to making changes that will address those shortcomings."

FirstWord Reports: Providing insight, analysis and expert opinion on important Pharma trends and challenging issues

The UK data regulator will not issue any fines in the case, but has asked the Trust to establish a "proper legal basis" for the Google DeepMind project and for any future studies, as well as to outline "how it will comply with its duty of confidence to patients in any future trial involving personal data." The ICO added that the Trust has also been asked to complete a privacy impact assessment, including specific steps to ensure transparency, and to assign an audit of the trial, "the results of which will be shared with the Information Commissioner, and which the Commissioner will have the right to publish as she sees appropriate."

DeepMind said it welcomes the ICO's "thoughtful resolution" of the case, and acknowledged that it made several mistakes during its original deal. The company added that it should have better explained the agreement to both patients and the public, and that it "underestimated the complexity of the NHS and of the rules around patient data."

In May, the National Data Guardian, the most senior data protection adviser to the NHS, said that Google DeepMind had received the personally identifying medical records of 1.6 million NHS patients on an "inappropriate legal basis."

最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
  • 序言:七十年代末榜掌,一起剝皮案震驚了整個(gè)濱河市优妙,隨后出現(xiàn)的幾起案子,更是在濱河造成了極大的恐慌憎账,老刑警劉巖套硼,帶你破解...
    沈念sama閱讀 218,941評(píng)論 6 508
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件,死亡現(xiàn)場(chǎng)離奇詭異鼠哥,居然都是意外死亡熟菲,警方通過(guò)查閱死者的電腦和手機(jī),發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 93,397評(píng)論 3 395
  • 文/潘曉璐 我一進(jìn)店門(mén)朴恳,熙熙樓的掌柜王于貴愁眉苦臉地迎上來(lái)抄罕,“玉大人,你說(shuō)我怎么就攤上這事于颖〈艋撸” “怎么了?”我有些...
    開(kāi)封第一講書(shū)人閱讀 165,345評(píng)論 0 356
  • 文/不壞的土叔 我叫張陵,是天一觀的道長(zhǎng)做入。 經(jīng)常有香客問(wèn)我冒晰,道長(zhǎng),這世上最難降的妖魔是什么竟块? 我笑而不...
    開(kāi)封第一講書(shū)人閱讀 58,851評(píng)論 1 295
  • 正文 為了忘掉前任壶运,我火速辦了婚禮,結(jié)果婚禮上浪秘,老公的妹妹穿的比我還像新娘蒋情。我一直安慰自己,他們只是感情好耸携,可當(dāng)我...
    茶點(diǎn)故事閱讀 67,868評(píng)論 6 392
  • 文/花漫 我一把揭開(kāi)白布棵癣。 她就那樣靜靜地躺著,像睡著了一般夺衍。 火紅的嫁衣襯著肌膚如雪狈谊。 梳的紋絲不亂的頭發(fā)上,一...
    開(kāi)封第一講書(shū)人閱讀 51,688評(píng)論 1 305
  • 那天沟沙,我揣著相機(jī)與錄音河劝,去河邊找鬼。 笑死尝胆,一個(gè)胖子當(dāng)著我的面吹牛丧裁,可吹牛的內(nèi)容都是我干的。 我是一名探鬼主播含衔,決...
    沈念sama閱讀 40,414評(píng)論 3 418
  • 文/蒼蘭香墨 我猛地睜開(kāi)眼,長(zhǎng)吁一口氣:“原來(lái)是場(chǎng)噩夢(mèng)啊……” “哼二庵!你這毒婦竟也來(lái)了贪染?” 一聲冷哼從身側(cè)響起,我...
    開(kāi)封第一講書(shū)人閱讀 39,319評(píng)論 0 276
  • 序言:老撾萬(wàn)榮一對(duì)情侶失蹤催享,失蹤者是張志新(化名)和其女友劉穎杭隙,沒(méi)想到半個(gè)月后,有當(dāng)?shù)厝嗽跇?shù)林里發(fā)現(xiàn)了一具尸體因妙,經(jīng)...
    沈念sama閱讀 45,775評(píng)論 1 315
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡痰憎,尸身上長(zhǎng)有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 37,945評(píng)論 3 336
  • 正文 我和宋清朗相戀三年,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了攀涵。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片铣耘。...
    茶點(diǎn)故事閱讀 40,096評(píng)論 1 350
  • 序言:一個(gè)原本活蹦亂跳的男人離奇死亡,死狀恐怖以故,靈堂內(nèi)的尸體忽然破棺而出蜗细,到底是詐尸還是另有隱情,我是刑警寧澤,帶...
    沈念sama閱讀 35,789評(píng)論 5 346
  • 正文 年R本政府宣布炉媒,位于F島的核電站踪区,受9級(jí)特大地震影響,放射性物質(zhì)發(fā)生泄漏吊骤。R本人自食惡果不足惜缎岗,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 41,437評(píng)論 3 331
  • 文/蒙蒙 一、第九天 我趴在偏房一處隱蔽的房頂上張望白粉。 院中可真熱鬧传泊,春花似錦、人聲如沸蜗元。這莊子的主人今日做“春日...
    開(kāi)封第一講書(shū)人閱讀 31,993評(píng)論 0 22
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽(yáng)奕扣。三九已至薪鹦,卻和暖如春,著一層夾襖步出監(jiān)牢的瞬間惯豆,已是汗流浹背池磁。 一陣腳步聲響...
    開(kāi)封第一講書(shū)人閱讀 33,107評(píng)論 1 271
  • 我被黑心中介騙來(lái)泰國(guó)打工, 沒(méi)想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留楷兽,地道東北人地熄。 一個(gè)月前我還...
    沈念sama閱讀 48,308評(píng)論 3 372
  • 正文 我出身青樓,卻偏偏與公主長(zhǎng)得像芯杀,于是被迫代替她去往敵國(guó)和親端考。 傳聞我的和親對(duì)象是個(gè)殘疾皇子,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 45,037評(píng)論 2 355

推薦閱讀更多精彩內(nèi)容