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1
'Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare
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Artigo
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'Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare

Mackey, Tim K ; Kuo, Tsung-Ting ; Gummadi, Basker ; Clauson, Kevin A ; Church, George ; Grishin, Dennis ; Obbad, Kamal ; Barkovich, Robert ; Palombini, Maria

BMC medicine, 2019-03, Vol.17 (1), p.68-68, Article 68 [Periódico revisado por pares]

England: BioMed Central Ltd

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2
Mobile Health Technology Evaluation: The mHealth Evidence Workshop
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Artigo
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Mobile Health Technology Evaluation: The mHealth Evidence Workshop

KUMAR, Santosh ; NILSEN, Wendy J ; HEDEKER, Donald ; HONAVAR, Vasant ; KRAVITZ, Richard ; LEFEBVRE, R. Craig ; MOHR, David C ; MURPHY, Susan A ; QUINN, Charlene ; SHUSTERMAN, Vladimir ; SWENDEMAN, Dallas ; ABERNETHY, Amy ; ATIENZA, Audie ; PATRICK, Kevin ; PAVEL, Misha ; RILEY, William T ; SHAR, Albert ; SPRING, Bonnie ; SPRUIJT-METZ, Donna

American journal of preventive medicine, 2013-08, Vol.45 (2), p.228-236 [Periódico revisado por pares]

New York, NY: Elsevier

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3
The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
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Artigo
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The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world

Kickbusch, Ilona ; Piselli, Dario ; Agrawal, Anurag ; Balicer, Ran ; Banner, Olivia ; Adelhardt, Michael ; Capobianco, Emanuele ; Fabian, Christopher ; Singh Gill, Amandeep ; Lupton, Deborah ; Medhora, Rohinton P ; Ndili, Njide ; Ryś, Andrzej ; Sambuli, Nanjira ; Settle, Dykki ; Swaminathan, Soumya ; Morales, Jeanette Vega ; Wolpert, Miranda ; Wyckoff, Andrew W ; Xue, Lan ; Bytyqi, Aferdita ; Franz, Christian ; Gray, Whitney ; Holly, Louise ; Neumann, Micaela ; Panda, Lipsa ; Smith, Robert D ; Georges Stevens, Enow Awah ; Wong, Brian Li Han

The Lancet (British edition), 2021-11, Vol.398 (10312), p.1727-1776 [Periódico revisado por pares]

England: Elsevier Ltd

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4
Unintended Consequences of Machine Learning in Medicine
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Artigo
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Unintended Consequences of Machine Learning in Medicine

Cabitza, Federico ; Rasoini, Raffaele ; Gensini, Gian Franco

JAMA : the journal of the American Medical Association, 2017-08, Vol.318 (6), p.517-518 [Periódico revisado por pares]

United States: American Medical Association

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5
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
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Artificial Intelligence and Machine Learning in Clinical Medicine, 2023

Haug, Charlotte J. ; Drazen, Jeffrey M. Drazen, Jeffrey M. ; Leong, Tze-Yun ; Kohane, Isaac S.

The New England journal of medicine, 2023-03, Vol.388 (13), p.1201-1208 [Periódico revisado por pares]

United States: Massachusetts Medical Society

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6
The NASSS framework for ex post theorisation of technology-supported change in healthcare: worked example of the TORPEDO programme
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Artigo
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The NASSS framework for ex post theorisation of technology-supported change in healthcare: worked example of the TORPEDO programme

Abimbola, Seye ; Patel, Bindu ; Peiris, David ; Patel, Anushka ; Harris, Mark ; Usherwood, Tim ; Greenhalgh, Trisha

BMC medicine, 2019-12, Vol.17 (1), p.233-233, Article 233 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
A Decade of Health Information Technology Usability Challenges and the Path Forward
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A Decade of Health Information Technology Usability Challenges and the Path Forward

Ratwani, Raj M ; Reider, Jacob ; Singh, Hardeep

JAMA : the journal of the American Medical Association, 2019-02, Vol.321 (8), p.743-744 [Periódico revisado por pares]

United States: American Medical Association

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8
The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0
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Artigo
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The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0

Nichols, Erin K ; Byass, Peter ; Chandramohan, Daniel ; Clark, Samuel J ; Flaxman, Abraham D ; Jakob, Robert ; Leitao, Jordana ; Maire, Nicolas ; Rao, Chalapati ; Riley, Ian ; Setel, Philip W

PLoS medicine, 2018-01, Vol.15 (1), p.e1002486-e1002486 [Periódico revisado por pares]

United States: Public Library of Science

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9
Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing
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Artigo
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Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

Wang, C. Jason ; Ng, Chun Y ; Brook, Robert H

JAMA : the journal of the American Medical Association, 2020-04, Vol.323 (14), p.1341-1342 [Periódico revisado por pares]

United States: American Medical Association

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10
Deep Learning—A Technology With the Potential to Transform Health Care
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Deep Learning—A Technology With the Potential to Transform Health Care

Hinton, Geoffrey

JAMA : the journal of the American Medical Association, 2018-09, Vol.320 (11), p.1101-1102 [Periódico revisado por pares]

United States: American Medical Association

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