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The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis.计算机化决策支持系统对心血管风险因素的影响:系统评价和荟萃分析。
BMC Med Inform Decis Mak. 2019 Jun 10;19(1):108. doi: 10.1186/s12911-019-0824-x.
2
Unintended adverse consequences of a clinical decision support system: two cases.临床决策支持系统的意外不良后果:两例。
J Am Med Inform Assoc. 2018 May 1;25(5):564-567. doi: 10.1093/jamia/ocx096.
3
The Effects of Clinical Decision Support Systems on Medication Safety: An Overview.临床决策支持系统对用药安全的影响:综述
PLoS One. 2016 Dec 15;11(12):e0167683. doi: 10.1371/journal.pone.0167683. eCollection 2016.
4
What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist.怎样才算一款优秀的临床应用程序?介绍皇家内科医师学会健康信息学部门的检查表。
Clin Med (Lond). 2015 Dec;15(6):519-21. doi: 10.7861/clinmedicine.15-6-519.
5
Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.计算机化医嘱录入与临床决策支持系统相结合以提高用药安全性:叙述性综述。
BMJ Qual Saf. 2014 Sep;23(9):773-80. doi: 10.1136/bmjqs-2013-002165. Epub 2014 Apr 12.
6
Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials.有效计算机化临床决策支持系统的特征:162 项随机试验的荟萃回归分析。
BMJ. 2013 Feb 14;346:f657. doi: 10.1136/bmj.f657.
7
Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings.临床决策支持系统对医师表现和患者结局的影响:高质量系统评价结果的综合分析。
J Am Med Inform Assoc. 2011 May 1;18(3):327-34. doi: 10.1136/amiajnl-2011-000094. Epub 2011 Mar 21.
8
Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.计算机化临床决策支持系统对从业者表现和患者结局的影响:一项系统综述。
JAMA. 2005 Mar 9;293(10):1223-38. doi: 10.1001/jama.293.10.1223.
9
Nervous about artificial neural networks?对人工神经网络感到担心?
Lancet. 1995 Nov 4;346(8984):1175-7. doi: 10.1016/s0140-6736(95)92893-6.
10
An analysis of physician attitudes regarding computer-based clinical consultation systems.关于基于计算机的临床咨询系统的医生态度分析。
Comput Biomed Res. 1981 Dec;14(6):542-58. doi: 10.1016/0010-4809(81)90012-4.

资深医师对人工智能和临床决策支持系统的看法:来自专业学会的数据的定量和定性分析。

What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies.

机构信息

Lithuania.

Faculty of Clinical Informatics, London, UK.

出版信息

Clin Med (Lond). 2020 May;20(3):324-328. doi: 10.7861/clinmed.2019-0317.

DOI:10.7861/clinmed.2019-0317
PMID:32414724
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7354034/
Abstract

AIMS

The aim was to help physicians engage with NHS and other policymakers about the use, procurement and regulation of artificial intelligence, algorithms and clinical decision support systems (CDSS) in the NHS by identifying the professional benefits of and concerns about these systems.

METHODS

We piloted a three-page survey instrument with closed and open-ended questions on SurveyMonkey, then circulated it to specialty societies via email. Both quantitative and qualitative methods were used to analyse responses.

RESULTS

The results include the current usage of CDSS; identified benefits; concerns about quality; concerns about regulation, professional practice, ethics and liability, as well as actions being taken by the specialty societies to address these; and aspects of CDSS quality that need to be tested.

CONCLUSION

While results confirm many expected benefits and concerns about CDSS, they raise new professional concerns and suggest further actions to explore with partners on behalf of the physician community.

摘要

目的

通过确定医生对这些系统的专业益处和担忧,帮助医生就 NHS 以及其他政策制定者关于在 NHS 中使用、采购和监管人工智能、算法和临床决策支持系统(CDSS)进行沟通。

方法

我们在 SurveyMonkey 上试用了一个带有封闭式和开放式问题的三页调查问卷,然后通过电子邮件将其分发给专业协会。我们使用定量和定性方法来分析回复。

结果

结果包括 CDSS 的当前使用情况;确定的益处;对质量的担忧;对监管、专业实践、道德和责任的担忧,以及专业协会为解决这些问题而采取的行动;以及需要测试的 CDSS 质量方面。

结论

虽然结果证实了 CDSS 的许多预期益处和担忧,但它们也引发了新的专业担忧,并建议代表医生社区与合作伙伴进一步采取行动进行探索。