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'Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare
'Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare
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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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The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world
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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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Mobile Health Technology Evaluation: The mHealth Evidence Workshop
Mobile Health Technology Evaluation: The mHealth Evidence Workshop
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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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4
The NASSS framework for ex post theorisation of technology-supported change in healthcare: worked example of the TORPEDO programme
The NASSS framework for ex post theorisation of technology-supported change in healthcare: worked example of the TORPEDO programme
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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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5
Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing
Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing
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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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6
Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?
Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?
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Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?

Wang, Fei ; Kaushal, Rainu ; Khullar, Dhruv

Annals of internal medicine, 2020-01, Vol.172 (1), p.59-60 [Periódico revisado por pares]

United States: American College of Physicians

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7
Convergence of Implementation Science, Precision Medicine, and the Learning Health Care System: A New Model for Biomedical Research
Convergence of Implementation Science, Precision Medicine, and the Learning Health Care System: A New Model for Biomedical Research
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Convergence of Implementation Science, Precision Medicine, and the Learning Health Care System: A New Model for Biomedical Research

Chambers, David A ; Feero, W. Gregory ; Khoury, Muin J

JAMA : the journal of the American Medical Association, 2016-05, Vol.315 (18), p.1941-1942 [Periódico revisado por pares]

United States: American Medical Association

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8
Acquired Resistance to Bedaquiline and Delamanid in Therapy for Tuberculosis
Acquired Resistance to Bedaquiline and Delamanid in Therapy for Tuberculosis
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Acquired Resistance to Bedaquiline and Delamanid in Therapy for Tuberculosis

Bloemberg, Guido V. ; Keller, Peter M. ; Stucki, David ; Trauner, Andrej ; Borrell, Sonia ; Latshang, Tsogyal ; Coscolla, Mireia ; Rothe, Thomas ; Hömke, Rico ; Ritter, Claudia ; Feldmann, Julia ; Schulthess, Bettina ; Gagneux, Sebastien ; Böttger, Erik C.

The New England journal of medicine, 2015-11, Vol.373 (20), p.1986-1988 [Periódico revisado por pares]

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9
Trends and Predictors of Use of Digital Health Technology in the United States
Trends and Predictors of Use of Digital Health Technology in the United States
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Trends and Predictors of Use of Digital Health Technology in the United States

Mahajan, Shiwani ; Lu, Yuan ; Spatz, Erica S. ; Nasir, Khurram ; Krumholz, Harlan M.

The American journal of medicine, 2021-01, Vol.134 (1), p.129-134 [Periódico revisado por pares]

United States: Elsevier Inc

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10
Unintended Consequences of Machine Learning in Medicine
Unintended Consequences of Machine Learning in Medicine
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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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