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(Articles published in 2023 and downloaded in 2023) Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis White BM, Melton C, Zareie P, et al 10.1136/bmjhci-2022-100665 Keep it simple: designing a user-centred digital information system to support chronic disease management in low/middle-income countries Burka D, Gupta R, Moran AE, et al 10.1136/bmjhci-2022-100641 Validation framework for the use of AI in healthcare: overview of the new British standard BS30440 Sujan M, Smith-Frazer C, Malamateniou C, et al 10.1136/bmjhci-2023-100749 Accuracy of a tool to prioritise patients awaiting elective surgery: an implementation report Sharma V, Pritchard-Jones R, Scott S, et al 10.1136/bmjhci-2022-100687 Survival and health economic outcomes in heart failure diagnosed at hospital admission versus community settings: a propensity-matched analysis achtiger P, Kelshiker MA, Petri CF, et al 10.1136/bmjhci-2022-100718 Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review Woldemariam MT, Jimma W 10.1136/bmjhci-2022-100704 Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only Watson H, Gallifant J, Lai Y, et al 10.1136/bmjhci-2023-100771 Quantifying digital health inequality across a national healthcare system Zhang J, Gallifant J, Pierce RL, et al 10.1136/bmjhci-2023-100809 Organizational and health professional readiness for the implementation of electronic medical record system: an implication for the current EMR implementation in northwest Ethiopia Yilma TM, Tilahun B, Mamuye A, et al 10.1136/bmjhci-2022-100723 Health professionals routine practice documentation and its associated factors in a resource-limited setting: a cross-sectional study Demsash AW, Kassie SY, Dubale AT, et al 10.1136/bmjhci-2022-100699


(Articles published in 2022 and downloaded in 2022) Conceptualising fairness: three pillars for medical algorithms and health equity Laura Sikstrom, Marta M Maslej, Katrina Hui, et al 10.1136/bmjhci-2021-100459 Eight human factors and ergonomics principles for healthcare artificial intelligence Mark Sujan, Rachel Pool, Paul Salmon, et al 10.1136/bmjhci-2021-100516 Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter Davy van de Sande, Michel E Van Genderen, Jim M. Smit, et al 10.1136/bmjhci-2021-100495 Global disparity bias in ophthalmology artificial intelligence applications Luis Filipe Nakayama, Ashley Kras, Lucas Zago Ribeiro et al 10.1136/bmjhci-2021-100470 Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation Jacqueline K Kueper, Amanda Terry, Ravninder Bahniwal et al 10.1136/bmjhci-2021-100493 'Improving smart medication management: an online expert discussion David W Bates, Hsiang-Yin Cheng, NT Cheung et al 10.1136/bmjhci-2021-100540 Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction Isabel Straw, Honghan Wu 10.1136/bmjhci-2021-100457 Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland Charlotte Blease, Anna Kharko, Michael Bernstein et al 10.1136/bmjhci-2021-100480 Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation Agata Foryciarz, Stephen R Pfohl, Birju Patel, Nigam Shah 10.1136/bmjhci-2021-100460 A proposal for developing a platform that evaluates algorithmic equity and accuracy Paul Cerrato, John Halamka, Michael Pencina 10.1136/bmjhci-2021-100423


(Articles published in 2021 and downloaded in 2021) Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study Mansab F, Bhatti S, Goyal D 10.1136/bmjhci-2020-100187 A step-by-step guide to peer review: a template for patients and novice reviewers Salmi L, Blease C 10.1136/bmjhci-2021-100392 Clinician checklist for assessing suitability of machine learning applications in healthcare Scott I, Carter S, Coiera E 10.1136/bmjhci-2020-100251 COVID-19 and beyond: virtual consultations in primary care—reflecting on the evidence base for implementation and ensuring reach: commentary article Mold F, Cooke D, Ip A, et al 10.1136/bmjhci-2020-100256 Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review Khanbhai M, Anyadi P, Symons J, et al 10.1136/bmjhci-2020-100262 How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices Lyell D, Coiera E, Chen J, et al 10.1136/bmjhci-2020-100301 Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment Wilson A, Saeed H, Pringle C, et al 10.1136/bmjhci-2021-100323 Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding Levi R, Carli F, Arévalo AR, et al 10.1136/bmjhci-2020-100245 Development of a core competency framework for clinical informatics Davies A, Mueller J, Hassey A, et al 10.1136/bmjhci-2021-100356 Development of a data utility framework to support effective health data curation Gordon B, Barrett J, Fennessy C, et al 10.1136/bmjhci-2020-100303