This paper is in the following e-collection/theme issue:

mHealth in Medical Education and Training (67) Quality Improvement (226) Continuing Medical Education (CME) for Doctors (120) Simulation (96) Specialist Training for Doctors (42) Innovations in Cardiopulmonary Resuscitation (31)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15762, first published .
Mobile App to Improve House Officers’ Adherence to Advanced Cardiac Life Support Guidelines: Quality Improvement Study

Mobile App to Improve House Officers’ Adherence to Advanced Cardiac Life Support Guidelines: Quality Improvement Study

Mobile App to Improve House Officers’ Adherence to Advanced Cardiac Life Support Guidelines: Quality Improvement Study

Authors of this article:

Vittal Hejjaji1 Author Orcid Image ;   Ali O Malik1 Author Orcid Image ;   Poghni A Peri-Okonny1 Author Orcid Image ;   Merrill Thomas1 Author Orcid Image ;   Yuanyuan Tang1 Author Orcid Image ;   David Wooldridge2 Author Orcid Image ;   John A Spertus1 Author Orcid Image ;   Paul S Chan1 Author Orcid Image
Article Authors Cited by (6) Tweetations (14) Metrics

Journals

  1. Matthews S, Atkins B, Walton N, Mitchell J, Jennings G, Buttery A. Development and Use of a Cardiac Clinical Guideline Mobile App in Australia: Acceptability and Multi-Methods Study. JMIR Formative Research 2022;6(8):e35599 View
  2. Corazza F, Fiorese E, Arpone M, Tardini G, Frigo A, Cheng A, Da Dalt L, Bressan S. The impact of cognitive aids on resuscitation performance in in-hospital cardiac arrest scenarios: a systematic review and meta-analysis. Internal and Emergency Medicine 2022;17(7):2143 View
  3. Corazza F, Arpone M, Tardini G, Stritoni V, Mormando G, Graziano A, Navalesi P, Fiorese E, Portalone S, De Luca M, Binotti M, Tortorolo L, Salvadei S, Nucci A, Monzani A, Genoni G, Bazo M, Cheng A, Frigo A, Da Dalt L, Bressan S. Effectiveness of a Novel Tablet Application in Reducing Guideline Deviations During Pediatric Cardiac Arrest. JAMA Network Open 2023;6(8):e2327272 View
  4. Pham C, Govender R, Tehami S, Chavez S, Adepoju O, Liaw W. ChatGPT’s Performance in Cardiac Arrest and Bradycardia Simulations Using the American Heart Association's Advanced Cardiovascular Life Support Guidelines: Exploratory Study. Journal of Medical Internet Research 2024;26:e55037 View
  5. Nabecker S, Nation K, Gilfoyle E, Abelairas-Gomez C, Koota E, Lin Y, Greif R, Anderson N, Bhanji F, Breckwoldt J, Cheng A, Cortegiani A, Donoghue A, Eastwood K, Farquharson B, Hiseih M, Chih Ko Y, Lauridsen K, Lin Y, Lockey A, Mastsuyama T, Olaussen A, Sawyer T, Schnaubelt S, Yang C, Yeung J. Cognitive aids used in simulated resuscitation: A systematic review. Resuscitation Plus 2024;19:100675 View
  6. Tawfik M, Schiff E, Mosavian R, Campisi C, Shen A, Lin J, Windsor A, Weingarten‐Arams J, Soshnick S, Nishisaki A, Je S, Maa T, Harwayne‐Gidansky I, Fortunov R, Yang C. Validation of a Novel Mobile Application for Assessing Pediatric Tracheostomy Emergency Simulations. OTO Open 2024;8(3) View