Clinician Data Scientists-Preparing for the Future of Medicine in the Digital World.
作者信息
Wang Fulin, Ma Lin, Moulton Georgina, Wang Mai, Zhang Luxia
机构信息
National Institute of Health Data Science at Peking University, Beijing, China.
Institute of Medical Technology, Peking University Health Science Center, Beijing, China.
出版信息
Health Data Sci. 2022 Sep 27;2022:9832564. doi: 10.34133/2022/9832564. eCollection 2022.
Abstract
摘要
相似文献
1
Clinician Data Scientists-Preparing for the Future of Medicine in the Digital World.临床医生数据科学家——为数字世界中的医学未来做准备。
Health Data Sci. 2022 Sep 27;2022:9832564. doi: 10.34133/2022/9832564. eCollection 2022.
2
What are the chances? Clinician scientist` career pathways in Germany.在德国，临床科学家的职业道路有哪些？
BMC Med Educ. 2023 Sep 7;23(1):642. doi: 10.1186/s12909-023-04584-8.
3
Reflections on the current and future roles of clinician-scientists.对临床科学家当前及未来角色的思考。
Isr Med Assoc J. 2014 Aug;16(8):475-8.
4
Ethical, legal, and social implications of digital health: A needs assessment from the Society of Behavioral Medicine to inform capacity building for behavioral scientists.数字健康的伦理、法律和社会影响：来自行为医学学会的需求评估，以告知行为科学家的能力建设。
Transl Behav Med. 2024 Feb 23;14(3):189-196. doi: 10.1093/tbm/ibad076.
5
Clinician-Scientist Faculty Mentoring Program (FAME) - A New Inclusive Training Model at Penn State Increases Scholarly Productivity and Extramural Grant Funding.临床医生-科学家教师指导计划（FAME）——宾夕法尼亚州立大学一种全新的包容性培训模式提高了学术生产力和校外科研经费资助。
Adv Med Educ Pract. 2022 Sep 12;13:1039-1050. doi: 10.2147/AMEP.S365953. eCollection 2022.
6
Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges.行为科学在数字健康不断发展的世界中：对预期机遇和挑战的思考。
Transl Behav Med. 2021 Mar 16;11(2):495-503. doi: 10.1093/tbm/ibaa034.
7
Critical Gaps in Understanding the Clinician-Scientist Workforce: Results of an International Expert Meeting.理解临床科学家劳动力的关键差距：国际专家会议的结果。
Acad Med. 2019 Oct;94(10):1448-1454. doi: 10.1097/ACM.0000000000002802.
8
Ensuring the survival of the clinician-scientist.确保临床科学家的生存。
Acad Med. 1997 Jul;72(7):589-94. doi: 10.1097/00001888-199707000-00010.
9
"Walking on both sides of the fence": A qualitative exploration of the challenges and opportunities facing emergent clinician-scientists in child health.“脚踏两条船”：对儿童健康领域新兴临床科学家所面临挑战与机遇的质性探索
J Eval Clin Pract. 2023 Feb;29(1):59-68. doi: 10.1111/jep.13719. Epub 2022 Jun 14.
10
Training the next generation of Canadian Clinician-Scientists: charting a path to success.培养加拿大下一代临床医生科学家：规划成功之路。
Clin Invest Med. 2017 Apr 26;40(2):E95-E101. doi: 10.25011/cim.v40i2.28200.
本文引用的文献
1
Securing the future of the clinician-scientist.确保临床科学家的未来。
Nat Cancer. 2020 Feb;1(2):139-141. doi: 10.1038/s43018-019-0005-y.
2
Development of a core competency framework for clinical informatics.临床信息学核心能力框架的构建。
BMJ Health Care Inform. 2021 Jul;28(1). doi: 10.1136/bmjhci-2021-100356.
3
Training digitally competent clinicians.培养具备数字能力的临床医生。
BMJ. 2021 Mar 25;372:n757. doi: 10.1136/bmj.n757.
4
Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records.临床风险预测工具的应用因缺乏与电子健康记录的整合而受到限制。
BMJ Health Care Inform. 2021 Feb;28(1). doi: 10.1136/bmjhci-2020-100253.
5
Core competencies for clinical informaticians: A systematic review.临床信息学家的核心能力：系统评价。
Int J Med Inform. 2020 Sep;141:104237. doi: 10.1016/j.ijmedinf.2020.104237. Epub 2020 Jul 24.
6
Health informatics: a required skill for 21st century clinicians.健康信息学：21世纪临床医生的必备技能。
BMJ. 2018 Jul 12;362:k3043. doi: 10.1136/bmj.k3043.
7
Data Science in Healthcare: Implications for Early Career Investigators.医疗保健领域的数据科学：对早期职业研究人员的影响。
Circ Cardiovasc Qual Outcomes. 2016 Nov;9(6):683-687. doi: 10.1161/CIRCOUTCOMES.116.003081. Epub 2016 Nov 8.
8
Big Data, Health Informatics, and the Future of Cardiovascular Medicine.大数据、健康信息学与心血管医学的未来
J Am Coll Cardiol. 2017 Feb 21;69(7):899-902. doi: 10.1016/j.jacc.2017.01.006.
Zotero 插件