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Ophthalmol Glaucoma. 2021 Jan-Feb;4(1):5-9. doi: 10.1016/j.ogla.2020.08.006. Epub 2020 Aug 15.
2
Association of an Electronic Health Record Add-on App for Neonatal Bilirubin Management With Physician Efficiency and Care Quality.电子病历附加应用程序对新生儿胆红素管理与医生效率和护理质量的关联。
JAMA Netw Open. 2019 Nov 1;2(11):e1915343. doi: 10.1001/jamanetworkopen.2019.15343.
3
Glaucoma management in the era of artificial intelligence.人工智能时代的青光眼管理。
Br J Ophthalmol. 2020 Mar;104(3):301-311. doi: 10.1136/bjophthalmol-2019-315016. Epub 2019 Oct 22.
4
The impact of artificial intelligence in the diagnosis and management of glaucoma.人工智能在青光眼诊断和管理中的影响。
Eye (Lond). 2020 Jan;34(1):1-11. doi: 10.1038/s41433-019-0577-x. Epub 2019 Sep 20.
5
A Pragmatic Guide to Establishing Clinical Decision Support Governance and Addressing Decision Support Fatigue: a Case Study.建立临床决策支持治理及应对决策支持疲劳实用指南:一项案例研究
AMIA Annu Symp Proc. 2018 Dec 5;2018:624-633. eCollection 2018.
6
Artificial intelligence and deep learning in ophthalmology.人工智能和深度学习在眼科学中的应用。
Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25.
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A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.一项系统评价试验,评估具有计算机临床决策支持的干预措施的成功因素。
Implement Sci. 2018 Aug 20;13(1):114. doi: 10.1186/s13012-018-0790-1.
8
Provider Agreement in the Assessment of Glaucoma Progression Within a Team Model.在团队模式下评估青光眼进展中的提供者协议。
J Glaucoma. 2018 Aug;27(8):691-698. doi: 10.1097/IJG.0000000000000994.
9
Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.界面、信息、交互:临床决策支持的设计和功能需求的叙述性综述。
J Am Med Inform Assoc. 2018 May 1;25(5):585-592. doi: 10.1093/jamia/ocx118.
10
Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.计算机化决策支持系统实施对住院患者治疗结局的影响:系统评价。
J Am Med Inform Assoc. 2018 May 1;25(5):593-602. doi: 10.1093/jamia/ocx100.

青光眼临床决策支持中眼科护理提供者的兴趣和需求。

Interests and needs of eye care providers in clinical decision support for glaucoma.

作者信息

Stagg Brian, Stein Joshua D, Medeiros Felipe A, Cummins Mollie, Kawamoto Kensaku, Hess Rachel

机构信息

Ophthalmology and Visual Sciences, University of Utah Health John A Moran Eye Center, Salt Lake City, Utah, USA.

Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA.

出版信息

BMJ Open Ophthalmol. 2021 Jan 15;6(1):e000639. doi: 10.1136/bmjophth-2020-000639. eCollection 2021.

DOI:10.1136/bmjophth-2020-000639
PMID:33501378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7813287/
Abstract

OBJECTIVE

To study whether clinicians who treat glaucoma are interested in using clinical decision support (CDS) tools for glaucoma, what glaucoma clinical decisions they feel would benefit from CDS, and what characteristics of CDS design they feel would be important in glaucoma clinical practice.

METHODS AND ANALYSIS

Working with the American Glaucoma Society, the Utah Ophthalmology Society and the Utah Optometric Association, we identified a group of clinicians who care for patients with glaucoma. We asked these clinicians about interest in CDS, what glaucoma clinical decisions would benefit from CDS, and what characteristics of CDS tool design would be important in glaucoma clinical practice.

RESULTS

Of the 105 clinicians (31 optometrists, 10 general ophthalmologists and 64 glaucoma specialists), 93 (88.6%) were either 'definitely' or 'probably' interested in using CDS for glaucoma. There were no statistically significant differences in interest between clinical specialties (p=0.12), years in practice (p=0.85) or numbers of patients seen daily (p=0.99). Identifying progression of glaucoma was the clinical decision the largest number of clinicians felt would benefit from CDS (104/105, 99.1%). An easy to use interface was the CDS characteristic the largest number of clinicians felt would be 'very important' (93/105, 88.6%).

CONCLUSION

Of this group of clinicians who treat glaucoma, 88.6% were interested in using CDS for glaucoma and 99.1% felt that identification of glaucomatous progression could benefit from CDS. This level of interest supports future work to develop CDS for glaucoma.

摘要

目的

研究治疗青光眼的临床医生是否有兴趣使用青光眼临床决策支持(CDS)工具,他们认为哪些青光眼临床决策将从CDS中受益,以及他们认为CDS设计的哪些特征在青光眼临床实践中很重要。

方法与分析

我们与美国青光眼协会、犹他州眼科学会和犹他州验光师协会合作,确定了一组诊治青光眼患者的临床医生。我们询问这些临床医生对CDS的兴趣、哪些青光眼临床决策将从CDS中受益,以及CDS工具设计的哪些特征在青光眼临床实践中很重要。

结果

在105名临床医生(31名验光师、10名普通眼科医生和64名青光眼专科医生)中,93名(88.6%)“肯定”或“可能”有兴趣使用CDS来治疗青光眼。不同临床专科(p = 0.12)、从业年限(p = 0.85)或每日接诊患者数量(p = 0.99)之间在兴趣方面无统计学显著差异。确定青光眼进展是大多数临床医生认为将从CDS中受益的临床决策(104/105,99.1%)。易于使用的界面是大多数临床医生认为“非常重要”的CDS特征(93/105,88.6%)。

结论

在这组治疗青光眼的临床医生中,88.6%有兴趣使用CDS来治疗青光眼,99.1%认为青光眼进展的识别可从CDS中受益。这种兴趣水平支持未来开展针对青光眼的CDS开发工作。