Literature DB >> 32414724

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

Haroldas Petkus1, Jan Hoogewerf2, Jeremy C Wyatt3.   

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. © Royal College of Physicians 2020. All rights reserved.

Keywords:  Professional concerns; artificial intelligence; decision support systems; evaluation; regulation

Mesh:

Year:  2020        PMID: 32414724      PMCID: PMC7354034          DOI: 10.7861/clinmed.2019-0317

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  11 in total

Review 1.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 2.  Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings.

Authors:  Monique W M Jaspers; Marian Smeulers; Hester Vermeulen; Linda W Peute
Journal:  J Am Med Inform Assoc       Date:  2011-03-21       Impact factor: 4.497

3.  Decision aids and the law.

Authors:  D Brahams; J Wyatt
Journal:  Lancet       Date:  1989-09-09       Impact factor: 79.321

4.  Unintended adverse consequences of a clinical decision support system: two cases.

Authors:  Erin G Stone
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

5.  Nervous about artificial neural networks?

Authors:  J Wyatt
Journal:  Lancet       Date:  1995-11-04       Impact factor: 79.321

6.  Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials.

Authors:  Pavel S Roshanov; Natasha Fernandes; Jeff M Wilczynski; Brian J Hemens; John J You; Steven M Handler; Robby Nieuwlaat; Nathan M Souza; Joseph Beyene; Harriette G C Van Spall; Amit X Garg; R Brian Haynes
Journal:  BMJ       Date:  2013-02-14

Review 7.  Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.

Authors:  Sumant R Ranji; Stephanie Rennke; Robert M Wachter
Journal:  BMJ Qual Saf       Date:  2014-04-12       Impact factor: 7.035

8.  The Effects of Clinical Decision Support Systems on Medication Safety: An Overview.

Authors:  Pengli Jia; Longhao Zhang; Jingjing Chen; Pujing Zhao; Mingming Zhang
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

9.  The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis.

Authors:  T Katrien J Groenhof; Folkert W Asselbergs; Rolf H H Groenwold; Diederick E Grobbee; Frank L J Visseren; Michiel L Bots
Journal:  BMC Med Inform Decis Mak       Date:  2019-06-10       Impact factor: 2.796

10.  What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist.

Authors:  Jeremy C Wyatt; Harold Thimbleby; Paul Rastall; Jan Hoogewerf; Darren Wooldridge; John Williams
Journal:  Clin Med (Lond)       Date:  2015-12       Impact factor: 2.659

View more
  3 in total

1.  Examining the effect of explanation on satisfaction and trust in AI diagnostic systems.

Authors:  Lamia Alam; Shane Mueller
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-03       Impact factor: 2.796

2.  Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey.

Authors:  Mingyang Chen; Bo Zhang; Ziting Cai; Samuel Seery; Maria J Gonzalez; Nasra M Ali; Ran Ren; Youlin Qiao; Peng Xue; Yu Jiang
Journal:  Front Med (Lausanne)       Date:  2022-08-31

3.  Artificial intelligence in breast cancer screening: primary care provider preferences.

Authors:  Nathaniel Hendrix; Brett Hauber; Christoph I Lee; Aasthaa Bansal; David L Veenstra
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.