{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T02:50:17Z","timestamp":1788576617595,"version":"build-2803163510"},"reference-count":24,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["apjon.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Asia-Pacific Journal of Oncology Nursing"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.apjon.2025.100737","type":"journal-article","created":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T12:32:34Z","timestamp":1748953954000},"page":"100737","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Reclaiming clinical time: The promise and challenges of ambient AI for oncology nurses in the Asia\u2013Pacific region"],"prefix":"10.1016","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3970-588X","authenticated-orcid":false,"given":"Karthik","family":"Adapa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanju","family":"Rajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anjali Yellapuntula","family":"Venketa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukasz","family":"Mazur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.apjon.2025.100737_bib1","doi-asserted-by":"crossref","first-page":"e13","DOI":"10.1016\/j.ejim.2017.06.017","article-title":"The rise of artificial intelligence and the uncertain future for physicians","volume":"48","author":"Krittanawong","year":"2018","journal-title":"Eur J Intern Med"},{"key":"10.1016\/j.apjon.2025.100737_bib2","doi-asserted-by":"crossref","DOI":"10.7717\/peerj.18039","article-title":"Burnout experience among healthcare workers post third COVID-19 wave in India: findings of a cross-sectional study","volume":"12","author":"Sidiq","year":"2024","journal-title":"PeerJ"},{"issue":"1","key":"10.1016\/j.apjon.2025.100737_bib3","doi-asserted-by":"crossref","first-page":"111","DOI":"10.4103\/ijmpo.ijmpo_168_17","article-title":"Emotional exhaustion in cancer clinicians: a mixed methods exploration","volume":"40","author":"Daruvala","year":"2019","journal-title":"Indian J Med Paediatr Oncol"},{"key":"10.1016\/j.apjon.2025.100737_bib4","doi-asserted-by":"crossref","DOI":"10.1155\/2024\/5579322","article-title":"Moral distress, burnout, turnover intention, and coping strategies among Korean nurses during the late stage of the COVID-19 pandemic: a mixed-method study","volume":"2024","author":"Lee","year":"2024","journal-title":"J Nurs Manag"},{"key":"10.1016\/j.apjon.2025.100737_bib5","doi-asserted-by":"crossref","first-page":"3251","DOI":"10.1038\/s41598-025-87677-2","article-title":"Suicidality, resilience and burnout in a population of oncology nurses","volume":"15","author":"Despotovi\u0107","year":"2025","journal-title":"Sci Rep"},{"issue":"9","key":"10.1016\/j.apjon.2025.100737_bib6","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2024.32460","article-title":"AI-powered clinical documentation and clinicians' electronic health record experience: a nonrandomized clinical trial","volume":"7","author":"Liu","year":"2024","journal-title":"JAMA Netw Open"},{"issue":"11","key":"10.1016\/j.apjon.2025.100737_bib7","doi-asserted-by":"crossref","first-page":"1695","DOI":"10.1093\/jamia\/ocaa131","article-title":"Envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners","volume":"27","author":"Kocaballi","year":"2020","journal-title":"J Am Med Inf Assoc"},{"issue":"3","key":"10.1016\/j.apjon.2025.100737_bib8","first-page":"CAT","article-title":"Ambient artificial intelligence scribes to alleviate the burden of clinical documentation","volume":"5","author":"Tierney","year":"2024","journal-title":"NEJM Catalyst Innov Care Deliv"},{"key":"10.1016\/j.apjon.2025.100737_bib9","article-title":"Clinician perspectives on ambient AI scribes in healthcare","author":"Afshar","year":"2024","journal-title":"medRxiv"},{"issue":"2","key":"10.1016\/j.apjon.2025.100737_bib10","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2024.60637","article-title":"Clinician experiences with ambient scribe technology to assist with documentation burden and efficiency","volume":"8","author":"Duggan","year":"2025","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.apjon.2025.100737_bib11","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1007\/s10916-025-02157-4","article-title":"Artificial intelligence (AI)-powered documentation systems in healthcare: a systematic review","volume":"49","author":"Bracken","year":"2025","journal-title":"J Med Syst"},{"key":"10.1016\/j.apjon.2025.100737_bib13","article-title":"Improving equity across cancer care continuum in Asia Pacific","volume":"9","author":"Martina","year":"2023","journal-title":"JCO Glob Oncol"},{"key":"10.1016\/j.apjon.2025.100737_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2023.102487","article-title":"Automatic documentation of professional health interactions: a systematic review","volume":"137","author":"Falcetta","year":"2023","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.apjon.2025.100737_bib15","doi-asserted-by":"crossref","DOI":"10.2196\/58329","article-title":"Evaluation framework of large language models in medical documentation: development and usability study","volume":"26","author":"Seo","year":"2024","journal-title":"J Med Internet Res"},{"key":"10.1016\/j.apjon.2025.100737_bib16","series-title":"Adoption of AI in Healthcare Delivery Systems: Early Applications & Impacts","year":"2025"},{"key":"10.1016\/j.apjon.2025.100737_bib17","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/s41746-025-01534-0","article-title":"Transforming healthcare through just, equitable and quality-driven artificial intelligence solutions in South Asia","volume":"8","author":"Adhikari","year":"2025","journal-title":"npj Digit Med"},{"key":"10.1016\/j.apjon.2025.100737_bib18","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1038\/s41746-022-00700-y","article-title":"Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review","volume":"5","author":"Ciecierski-Holmes","year":"2022","journal-title":"npj Digit Med"},{"key":"10.1016\/j.apjon.2025.100737_bib19","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.puhe.2024.05.029","article-title":"Use of artificial intelligence to address health disparities in low- and middle-income countries: a thematic analysis of ethical issues","volume":"234","author":"Yu","year":"2024","journal-title":"Public Health"},{"key":"10.1016\/j.apjon.2025.100737_bib20","article-title":"ChatGPT: promise and challenges for deployment in low- and middle-income countries","volume":"41","author":"Wang","year":"2023","journal-title":"Lancet Reg Health West Pac"},{"key":"10.1016\/j.apjon.2025.100737_bib21","series-title":"Artificial Intelligence and Society in Asia","article-title":"Technological readiness of Asia's social sector for the adoption and use of artificial intelligence","author":"Hewage","year":"2024"},{"key":"10.1016\/j.apjon.2025.100737_bib22","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.1186\/s12889-024-18949-1","article-title":"Differential impacts of health systems and sociocultural environment on vulnerable populations during the COVID-19 pandemic: lessons from four Asia-Pacific countries","volume":"24","author":"Lee","year":"2024","journal-title":"BMC Public Health"},{"key":"10.1016\/j.apjon.2025.100737_bib23","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ijmedinf.2016.05.005","article-title":"Incidence of speech recognition errors in the emergency department","volume":"93","author":"Kleiner","year":"2016","journal-title":"Int J Med Inf"},{"key":"10.1016\/j.apjon.2025.100737_bib24","series-title":"Ethics and Governance of Artificial Intelligence for Health: WHO Guidance","year":"2021"},{"key":"10.1016\/j.apjon.2025.100737_bib25","series-title":"Guidance on Large Multi-Modal Models","year":"2024"}],"container-title":["Asia-Pacific Journal of Oncology Nursing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S234756252500085X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S234756252500085X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T21:50:39Z","timestamp":1766440239000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S234756252500085X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":24,"alternative-id":["S234756252500085X"],"URL":"https:\/\/doi.org\/10.1016\/j.apjon.2025.100737","relation":{},"ISSN":["2347-5625"],"issn-type":[{"value":"2347-5625","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Reclaiming clinical time: The promise and challenges of ambient AI for oncology nurses in the Asia\u2013Pacific region","name":"articletitle","label":"Article Title"},{"value":"Asia-Pacific Journal of Oncology Nursing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.apjon.2025.100737","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier Inc. on behalf of Asian Oncology Nursing Society.","name":"copyright","label":"Copyright"}],"article-number":"100737"}}