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Recent advancements in natural language processing facilitate the development of clinical systems, automating some time-consuming record-keeping tasks. However, it remains unclear what automation tasks would benefit clinicians most, what features such automation should exhibit, and how clinicians will interact with the automation. We conducted semi-structured interviews with General Practitioners uncovering their views and attitudes toward text automation. The main emerging theme was doctor-AI collaboration, addressing a reciprocal clinician-technology relationship that does not threaten to substitute clinicians, but rather establishes a constructive synergistic relationship. Other themes included: (i) desired features for clinical text automation; (ii) concerns around clinical text automation; and (iii) the consultation of the future. Our findings will inform the design of future natural language processing systems, to be implemented in general practice.<\/jats:p>","DOI":"10.1145\/3569893","type":"journal-article","created":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T12:54:13Z","timestamp":1666875253000},"page":"1-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["Collaboration, not Confrontation: Understanding General Practitioners\u2019 Attitudes Towards Natural Language and Text Automation in Clinical Practice"],"prefix":"10.1145","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1108-7071","authenticated-orcid":false,"given":"David","family":"Fraile Navarro","sequence":"first","affiliation":[{"name":"Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8328-5317","authenticated-orcid":false,"given":"A. 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