AppsFromResearch
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EFM

Evidence Tier:DOCUMENTED

Published in academic literature

For:Clinicians & Healthcare Professionals

App Summary

EFM is an educational application for healthcare providers that simulates electronic fetal monitoring, providing training on how to interpret fetal heart rate patterns using the NCHHD algorithm. The associated design paper describes its development as an accessible, low-cost educational tool to overcome the limitations of traditional training methods like live patients or high-fidelity manikins. The authors conclude that the technology provides an opportunity for learners and instructors to simulate obstetric cases and practice live interpretation of EFM strips.

App Screenshots

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Detailed Description

Functionality & Mechanism

EFM is an instructional application designed to simulate electronic fetal monitoring for educational purposes. The system leverages the National Institute of Child Health and Human Development (NICHD) algorithm and nomenclature to generate realistic fetal heart rate tracings and uterine contraction patterns. The interface enables learners and instructors to conduct live interpretation of EFM strips within simulated obstetric cases. It is engineered for integration into training scenarios, including those with standardized patient actors, providing a cost-effective alternative to high-fidelity manikins.

Evidence & Research Context

  • The app's design and development are detailed in a protocol paper that establishes its utility as an educational healthcare technology.
  • The system was engineered to address documented limitations in EFM training, including the high cost of simulation manikins and the constraints of training on live patients.
  • The application's pedagogical framework is grounded in the standardized NICHD nomenclature for fetal heart rate pattern interpretation.
  • As noted by the developers, formal evaluation of the application's effectiveness and acceptability among learners is ongoing.

Intended Use & Scope

This application is intended for healthcare learners and instructors, including medical and nursing students, for educational and simulation-based training. Its primary utility is as an adjunct instructional tool within a formal curriculum. The system is not designed for direct clinical use, patient diagnosis, or as a substitute for supervised clinical judgment and practice.

Studies & Publications

1 publication

Peer-reviewed research associated with this app.

Development/Design Paper

Design and Development of an Electronic Fetal Monitoring App

Li et al. (2015) · Industrial and Systems Engineering Research Conference

Describes the research-driven development of this app
Training healthcare providers to recognize fetal heart patterns and correlations with contractions or other conditions within the womb is a crucial and complex task. Currently, there are only two methods available to provide hands-on learning with the Electronic Fetal Monitoring (EFM) in real-time fetal monitoring: one is in the clinical setting with live patients, and the other is to use high fidelity maternal manikins. Both have limitations which hinder the learning effectiveness and experience. In this study, we design and develop an EFM App, an educational healthcare technology designed to simulate an EFM, which not only enables the simulation of an obstetric case using standardized patient actors, but also provides learners and instructors live interpretation of EFM strips without exorbitant costs.
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EFM

Free