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How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?

BMC medicine, 2018-12, Vol.16 (1), p.225-225, Article 225

Wyatt, Jeremy C

2018

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Correction to: How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?

BMC medicine, 2019-07, Vol.17 (1), p.144-144, Article 144

Wyatt, Jeremy C

2019

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Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map

Trials, 2020-06, Vol.21 (1), p.478-23, Article 478

2020

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Independent validation of the PREDICT breast cancer prognosis prediction tool in 45,789 patients using Scottish Cancer Registry data

British journal of cancer, 2018-10, Vol.119 (7), p.808-814

2018

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Automation bias: Empirical results assessing influencing factors

International journal of medical informatics (Shannon, Ireland), 2014-05, Vol.83 (5), p.368-375

2014

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Peer review of health research funding proposals: A systematic map and systematic review of innovations for effectiveness and efficiency

PloS one, 2018-05, Vol.13 (5), p.e0196914-e0196914

2018

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Acceptance and barriers pertaining to a general practice decision support system for multiple clinical conditions: A mixed methods evaluation

PloS one, 2018-04, Vol.13 (4), p.e0193187-e0193187

2018

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Chemotherapy effectiveness in trial-underrepresented groups with early breast cancer: A retrospective cohort study

PLoS medicine, 2019-12, Vol.16 (12), p.e1003006

2019

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Evaluation Methods in Biomedical and Health Informatics

Third edition, 2022

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Enhancing trust in clinical decision support systems: a framework for developers

BMJ health & care informatics, 2021-06, Vol.28 (1), p.e100247

2021

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mHealth and mobile medical Apps: a framework to assess risk and promote safer use

Journal of medical Internet research, 2014-09, Vol.16 (9), p.e210-e210

2014

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Automation bias: a systematic review of frequency, effect mediators, and mitigators

Journal of the American Medical Informatics Association : JAMIA, 2012-01, Vol.19 (1), p.121-127

2012

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Using digital tools in the recruitment and retention in randomised controlled trials: survey of UK Clinical Trial Units and a qualitative study

Trials, 2020-04, Vol.21 (1), p.304-304, Article 304

2020

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Evaluating Digital Health Interventions: Key Questions and Approaches

American journal of preventive medicine, 2016-11, Vol.51 (5), p.843-851

2016

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Preserving the Open Access Benefits Pioneered by the Journal of Medical Internet Research and Discouraging Fraudulent Journals

Journal of medical Internet research, 2019-12, Vol.21 (12), p.e16532-e16532

Wyatt, Jeremy C

2019

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Artificial intelligence and clinical decision support: clinicians’ perspectives on trust, trustworthiness, and liability

Medical law review, 2023-11, Vol.31 (4), p.501-520

2023

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Fifty million people use computerised self triage

BMJ (Online), 2015-07, Vol.351, p.h3727

Wyatt, Jeremy C

2015

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What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies

Clinical medicine (London, England), 2020-05, Vol.20 (3), p.324-328

2020

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Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis

Systematic reviews, 2017-10, Vol.6 (1), p.193-193, Article 193

2017

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Accuracy of musculoskeletal imaging for the diagnosis of polymyalgia rheumatica: systematic review

Rheumatic & musculoskeletal diseases open, 2015-01, Vol.1 (1), p.e000100-e000100

2015

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High-potency statin and ezetimibe use and mortality in survivors of an acute myocardial infarction: a population-based study

Heart (British Cardiac Society), 2014-06, Vol.100 (11), p.867-872

2014

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In Memoriam. Safe, Sound and Profound: A Tribute to Prof. John Fox, PhD, FACMI, FIAHSI (1948–2021)

Journal of biomedical informatics, 2021-11, Vol.123, p.103933, Article 103933

2021

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Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide

BMJ (Online), 2014-03, Vol.348 (mar07 3), p.g1687-g1687

2014

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How standards and user involvement can improve app quality: A lifecycle approach

International journal of medical informatics (Shannon, Ireland), 2018-10, Vol.118, p.54-57

2018

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Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes

Cochrane database of systematic reviews, 2012-12, Vol.12, p.CD001175

2012

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How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?

Correction to: How can clinicians, specialty societies and others evaluate and improve the quality of apps for patient use?

Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map

Independent validation of the PREDICT breast cancer prognosis prediction tool in 45,789 patients using Scottish Cancer Registry data

Automation bias: Empirical results assessing influencing factors

Peer review of health research funding proposals: A systematic map and systematic review of innovations for effectiveness and efficiency

Acceptance and barriers pertaining to a general practice decision support system for multiple clinical conditions: A mixed methods evaluation

Chemotherapy effectiveness in trial-underrepresented groups with early breast cancer: A retrospective cohort study

Evaluation Methods in Biomedical and Health Informatics

Enhancing trust in clinical decision support systems: a framework for developers

mHealth and mobile medical Apps: a framework to assess risk and promote safer use

Automation bias: a systematic review of frequency, effect mediators, and mitigators

Using digital tools in the recruitment and retention in randomised controlled trials: survey of UK Clinical Trial Units and a qualitative study

Evaluating Digital Health Interventions: Key Questions and Approaches

Preserving the Open Access Benefits Pioneered by the Journal of Medical Internet Research and Discouraging Fraudulent Journals

Artificial intelligence and clinical decision support: clinicians’ perspectives on trust, trustworthiness, and liability

Fifty million people use computerised self triage

What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies

Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis

Accuracy of musculoskeletal imaging for the diagnosis of polymyalgia rheumatica: systematic review

High-potency statin and ezetimibe use and mortality in survivors of an acute myocardial infarction: a population-based study

In Memoriam. Safe, Sound and Profound: A Tribute to Prof. John Fox, PhD, FACMI, FIAHSI (1948–2021)

Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide

How standards and user involvement can improve app quality: A lifecycle approach

Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes

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