Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-019-1160-5/fulltext.html
Reference19 articles.
1. Gordon, T., Paul, S., Lyles, A., and Fountain, J., Surgical unit time utilization review: Resource utilization and management implications. J. Med. Syst. 12(3):169–179, 1988.
2. Peltokorpi, A., How do strategic decisions and operative practices affect operating room productivity? Health Care Manag. Sci. 14(4):370–382, 2011.
3. Gabriel, R. A., Wu, A., Huang, C. C., Dutton, R. P., and Urman, R. D., National incidences and predictors of inefficiencies in perioperative care. J. Clin. Anesth. 31:238–246, 2016.
4. May, J. H., Spangler, W. E., Strum, D. P., and Vargas, L. G., The surgical scheduling problem: Current research and future opportunities. Prod. Oper. Manag. 20(3):392–405, 2011.
5. Tankard, K., Acciavatti, T. D., Vacanti, J. C. et al., Contributors to operating room underutilization and implications for hospital administrators. Health Care Manag. (Frederick). 37(2):118–128, 2018.
Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improving preoperative prediction of surgery duration;BMC Health Services Research;2023-12-02
2. Machine learning models to predict surgical case duration compared to current industry standards: scoping review;BJS Open;2023-11-01
3. Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study;JMIR AI;2023-09-08
4. Which patient-specific parameters correlate with operation time for total hip arthroplasty? — A retrospective analysis of the direct anterior approach;International Orthopaedics;2023-06-03
5. Development, Deployment, and Implementation of a Machine Learning Surgical Case Length Prediction Model and Prospective Evaluation;Annals of Surgery;2023-06-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3