Literature DB >> 12729430

Training and competency evaluation for interpretation of 12-lead electrocardiograms: recommendations from the American College of Physicians.

Stephen M Salerno1, Patrick C Alguire, Herbert S Waxman.   

Abstract

This paper is part 1 of a 2-part series on interpretation of 12-lead resting electrocardiograms (ECGs). Part 1 is a position paper that presents recommendations for initial competency, competency assessment, and maintenance of competency on ECG interpretation, as well as recommendations for the role of computer-assisted ECG interpretation. Part 2 is a systematic review of detailed supporting evidence for the recommendations. Despite several earlier consensus-based recommendations on ECG interpretation, substantive evidence on the training needed to obtain and maintain ECG interpretation skills is not available. Some studies show that noncardiologist physicians have more ECG interpretation errors than do cardiologists, but the rate of adverse patient outcomes from ECG interpretation errors is low. Computers may decrease the time needed to interpret ECGs and can reduce ECG interpretation errors. However, they have shown less accuracy than physician interpreters and must be relied on only as an adjunct interpretation tool for a trained provider. Interpretation of ECGs varies greatly, even among expert electrocardiographers. Noncardiologists seem to be more influenced by patient history in interpreting ECGs than are cardiologists. Cardiologists also perform better than other specialists on standardized ECG examinations when minimal patient history is provided. Pending more definitive research, residency training in internal medicine with Advanced Cardiac Life Support instruction should continue to be sufficient for bedside interpretation of resting 12-lead ECGs in routine and emergency situations. Additional experience or training in ECG interpretation when the patient's clinical condition is unknown may be useful but requires further study.

Entities:  

Mesh:

Year:  2003        PMID: 12729430     DOI: 10.7326/0003-4819-138-9-200305060-00012

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  13 in total

1.  [Position paper to the taking of quality controls for resting, exercise, and long-term-ECG].

Authors:  G Sauer; D Andresen; R Cierpka; B Lemke; F Mibach; Ch Perings; R Vaerst
Journal:  Z Kardiol       Date:  2005-12

2.  High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning.

Authors:  Mohammed Baydoun; Lise Safatly; Ossama K Abou Hassan; Hassan Ghaziri; Ali El Hajj; Hussain Isma'eel
Journal:  IEEE J Transl Eng Health Med       Date:  2019-11-07       Impact factor: 3.316

3.  The effect of erroneous computer interpretation of ECGs on resident decision making.

Authors:  William N Southern; Julia Hope Arnsten
Journal:  Med Decis Making       Date:  2009-05-21       Impact factor: 2.583

4.  A brief review: history to understand fundamentals of electrocardiography.

Authors:  Majd AlGhatrif; Joseph Lindsay
Journal:  J Community Hosp Intern Med Perspect       Date:  2012-04-30

5.  Does individual learning styles influence the choice to use a web-based ECG learning programme in a blended learning setting?

Authors:  Mikael Nilsson; Jan Östergren; Uno Fors; Anette Rickenlund; Lennart Jorfeldt; Kenneth Caidahl; Gunilla Bolinder
Journal:  BMC Med Educ       Date:  2012-01-16       Impact factor: 2.463

6.  Evaluation of a web-based ECG-interpretation programme for undergraduate medical students.

Authors:  Mikael Nilsson; Gunilla Bolinder; Claes Held; Bo-Lennart Johansson; Uno Fors; Jan Ostergren
Journal:  BMC Med Educ       Date:  2008-04-23       Impact factor: 2.463

7.  New ideas for teaching electrocardiogram interpretation and improving classroom teaching content.

Authors:  Rui Zeng; Rong-Zheng Yue; Chun-Yu Tan; Qin Wang; Pu Kuang; Pan-Wen Tian; Chuan Zuo
Journal:  Adv Med Educ Pract       Date:  2015-02-10

8.  Puzzle based teaching versus traditional instruction in electrocardiogram interpretation for medical students--a pilot study.

Authors:  Jack Rubinstein; Abhijeet Dhoble; Gary Ferenchick
Journal:  BMC Med Educ       Date:  2009-01-13       Impact factor: 2.463

9.  A cloud computing based 12-lead ECG telemedicine service.

Authors:  Jui-Chien Hsieh; Meng-Wei Hsu
Journal:  BMC Med Inform Decis Mak       Date:  2012-07-28       Impact factor: 2.796

10.  Unrecognised myocardial infarction and its relationship to outcome in critically ill patients with cardiovascular disease.

Authors:  Annemarie B Docherty; Shirjel Alam; Anoop S Shah; Alastair Moss; David E Newby; Nicholas L Mills; Simon J Stanworth; Nazir I Lone; Timothy S Walsh
Journal:  Intensive Care Med       Date:  2018-10-29       Impact factor: 17.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.