Literature DB >> 26171077

Point-of-Care Knowledge-Based Resource Needs of Clinicians: A Survey from a Large Academic Medical Center.

M A Ellsworth1, J M Homan2, J J Cimino3, S G Peters4, B W Pickering5, V Herasevich5.   

Abstract

OBJECTIVE: To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques.
MATERIALS AND METHODS: A survey regarding literature searching preferences was sent to 1862 unique clinical providers throughout Mayo Clinic. The survey consisted of 25 items asking respondents to select which clinical scenarios most often prompt literature searches as well as identify their most preferred knowledge resources.
RESULTS: A total of 450 completed surveys were returned and analyzed (24% response rate). 48% of respondents perform literature searches for more than half of their patient interactions with 91% of all searches occurring either before or within 3 hours of the patient interaction. When a search is performed 57% of respondents prefer synthesized information sources as compared to only 13% who prefer original research. 82% of knowledge searches are performed on a workstation or office computer while just 10% occur on a mobile device or at home.
CONCLUSION: Providers in our survey demonstrate a need to answer clinical questions on a regular basis, especially in the diagnosis and therapy domains. Responses suggest that most of these searches occur using synthesized knowledge sources in the patient care setting within a very short time from the patient interaction.

Entities:  

Keywords:  Electronic health records; evidence-based medicine; information storage and retrieval; point of care technology; user-computer interface

Mesh:

Year:  2015        PMID: 26171077      PMCID: PMC4493332          DOI: 10.4338/ACI-2014-11-RA-0104

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  36 in total

1.  Speed, accuracy, and confidence in Google, Ovid, PubMed, and UpToDate: results of a randomised trial.

Authors:  Robert H Thiele; Nathan C Poiro; David C Scalzo; Edward C Nemergut
Journal:  Postgrad Med J       Date:  2010-08       Impact factor: 2.401

2.  Integrating knowledge resources at the point of care: opportunities for librarians.

Authors:  S S Fuller; D S Ketchell; P Tarczy-Hornoch; D Masuda
Journal:  Bull Med Libr Assoc       Date:  1999-10

3.  Of studies, syntheses, synopses, summaries, and systems: the "5S" evolution of information services for evidence-based healthcare decisions.

Authors:  R Brian Haynes
Journal:  Evid Based Med       Date:  2006-12

4.  Infobuttons at Intermountain Healthcare: utilization and infrastructure.

Authors:  Guilherme Del Fiol; Roberto A Rocha; Paul D Clayton
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 6.  Clinical questions raised by clinicians at the point of care: a systematic review.

Authors:  Guilherme Del Fiol; T Elizabeth Workman; Paul N Gorman
Journal:  JAMA Intern Med       Date:  2014-05       Impact factor: 21.873

7.  Implementations of the HL7 Context-Aware Knowledge Retrieval ("Infobutton") Standard: challenges, strengths, limitations, and uptake.

Authors:  Guilherme Del Fiol; Vojtech Huser; Howard R Strasberg; Saverio M Maviglia; Clayton Curtis; James J Cimino
Journal:  J Biomed Inform       Date:  2012-01-02       Impact factor: 6.317

8.  KnowledgeLink: impact of context-sensitive information retrieval on clinicians' information needs.

Authors:  Saverio M Maviglia; Catherine S Yoon; David W Bates; Gilad Kuperman
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

9.  Leading a horse to water: using automated reminders to increase use of online decision support.

Authors:  James J Cimino; Dmitriy V Borovtsov
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

10.  Information needs and information-seeking behavior of primary care physicians.

Authors:  Ana I González-González; Martin Dawes; José Sánchez-Mateos; Rosario Riesgo-Fuertes; Esperanza Escortell-Mayor; Teresa Sanz-Cuesta; Tomás Hernández-Fernández
Journal:  Ann Fam Med       Date:  2007 Jul-Aug       Impact factor: 5.166

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  5 in total

1.  Comparing the Use of DynaMed and UpToDate by Physician Trainees in Clinical Decision-Making: A Randomized Crossover Trial.

Authors:  Sally L Baxter; Lina Lander; Brian Clay; John Bell; Kristen Hansen; Amanda Walker; Ming Tai-Seale
Journal:  Appl Clin Inform       Date:  2022-02-02       Impact factor: 2.342

2.  Clinicians' perceptions of usefulness of the PubMed4Hh mobile device application for clinical decision making at the point of care: a pilot study.

Authors:  Kyungsook Gartrell; Caitlin W Brennan; Gwenyth R Wallen; Fang Liu; Karen G Smith; Paul Fontelo
Journal:  BMC Med Inform Decis Mak       Date:  2018-05-08       Impact factor: 2.796

3.  Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country- Malaysia.

Authors:  Nurul Aqilah Mohd Nor; Nur Aishah Taib; Marniza Saad; Hana Salwani Zaini; Zahir Ahmad; Yamin Ahmad; Sarinder Kaur Dhillon
Journal:  BMC Bioinformatics       Date:  2019-02-04       Impact factor: 3.169

4.  Artificial intelligence behind the scenes: PubMed's Best Match algorithm.

Authors:  Lucy Kiester; Clara Turp
Journal:  J Med Libr Assoc       Date:  2022-01-01

5.  How searching under time pressure impacts clinical decision making.

Authors:  Anton van der Vegt; Guido Zuccon; Bevan Koopman; Anthony Deacon
Journal:  J Med Libr Assoc       Date:  2020-10-01
  5 in total

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