metricas

Acta Colombiana de Cuidado Intensivo

Sugerencias
Acta Colombiana de Cuidado Intensivo Enseñando bajo presión: los retos de educar en cuidado intensivo
Información de la revista
Vol. 25. Núm. 3.
Páginas 451-578 (Julio - Septiembre 2025)
Cita
Cita
Compartir
Descargar PDF
Más opciones de artículo
Visitas
1357
Vol. 25. Núm. 3.
Páginas 451-578 (Julio - Septiembre 2025)
Revisión

Enseñando bajo presión: los retos de educar en cuidado intensivo

Teaching under pressure: The challenges of education in intensive care
Visitas
1357
Andres Felipe Yepes-Velasco
Autor para correspondencia
andres.yepes@urosario.edu.co

Autor para correspondencia.
, Lorena Moreno-Araque, Manuel Castaño
Hospital Universitario de la Fundación Santa Fe de Bogotá, Bogotá, Colombia
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Resumen

La docencia en la unidad de cuidados intensivos (UCI) representa un desafío multifacético que va más allá de la mera transmisión de conocimiento médico. Este entorno único requiere desarrollar competencias tanto técnicas como interpersonales en un contexto de alta complejidad. La naturaleza crítica de los pacientes, combinada con las exigencias asistenciales, crea un escenario donde los educadores deben equilibrar cuidadosamente las necesidades educativas con la seguridad del paciente. Frecuentemente, esta balanza se inclina hacia la atención clínica inmediata, lo que puede reducir las oportunidades de aprendizaje práctico para los residentes. En esta revisión se engloba gran parte de los desafíos que enfrentan los docentes clínicos durante el proceso de enseñar en ambientes de alta carga asistencial como la UCI.

Palabras clave:
UCI
Educación médica
Carga cognitiva
Inteligencia artificial
Ronda médica
Abstract

Teaching in the intensive care unit (ICU) represents a multifaceted challenge that goes beyond the mere transmission of medical knowledge. This unique environment requires developing both technical and interpersonal competencies in a highly complex context. The critical nature of patients, combined with healthcare demands, creates a scenario where educators must carefully balance educational needs with patient safety. Frequently, this balance tips toward immediate clinical care, which can reduce practical learning opportunities for residents. This review explores the key challenges that clinical teachers encounter while educating in high-workload environments such as the ICU.

Keywords:
ICU
Medical education
Cognitive load
Artificial intelligence
Medical round

Artículo

Opciones para acceder a los textos completos de la publicación Acta Colombiana de Cuidado Intensivo
Suscriptor
Suscriptor de la revista

Si ya tiene sus datos de acceso, clique aquí.

Si olvidó su clave de acceso puede recuperarla clicando aquí y seleccionando la opción "He olvidado mi contraseña".
Comprar
Comprar acceso al artículo

Comprando el artículo el PDF del mismo podrá ser descargado

Comprar ahora
Contactar
Teléfono para suscripciones e incidencias
De lunes a viernes de 9h a 18h (GMT+1) excepto los meses de julio y agosto que será de 9 a 15h
Llamadas desde España
932 415 960
Llamadas desde fuera de España
+34 932 415 960
E-mail
Referencias
[1]
N. Robillard, C. Vincelette.
Barriers to workplace-based learning in the intensive care unit: A qualitative description of internal medicine residents’ and intensivists’ perspectives.
Med Teach., 44 (2022), pp. 629-635
[2]
J.Q. Young, J. van Merrienboer, S. Durning, O. Ten Cate.
Cognitive Load Theory: Implications for medical education: AMEE Guide No 86.
Med Teach., 36 (2014), pp. 371-384
[3]
J.L. Sewell.
Cognitive Load in the ICU.
Chest., 165 (2024), pp. 1286-1287
[4]
P.A. Bergl, R.S. Nanchal, H. Singh.
Diagnostic error in the critically ill: Defining the problem and exploring next steps to advance intensive care unit safety.
Ann Am Thorac Soc., 15 (2018), pp. 903-907
[5]
J. Vittorelli, J. Cacchillo, M. McCool, A. McCague.
Cognitive bias in the management of a critically ill 29-year-old patient.
Cureus., 15 (2023), pp. e39314
[6]
I.E. Beldhuis, R.S. Marapin, Y.Y. Jiang, N. Simoes de Sousa, A. Georgiu, T. Kaufman, et al.
Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review.
J Crit Care., 64 (2021), pp. 144-153
[7]
J.H. Flavell.
Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry.
Am Psychol., 34 (1979), pp. 906-911
[8]
P. Croskerry.
The Importance of cognitive errors in diagnosis and strategies to minimize them.
[9]
L. Santhosh, W. Brown, J. Ferreira, A. Niroula, W.G. Carlos.
Practical tips for ICU bedside teaching.
[10]
S.M. Chudgar, C.E. Cox, L.G. Que, K. Andolsek, N.W. Knudsen, A.S. Clay.
Current teaching and evaluation methods in critical care medicine: Has the Accreditation Council for Graduate Medical Education affected how we practice and teach in the intensive care unit?.
Crit Care Med., 37 (2009), pp. 49-60
[11]
J.T. Ratelle, C.N. Gallagher, A.P. Sawatsky, D.T. Kashiwagi, W.M. Schouten, J.D. Gonzalo, et al.
The effect of bedside rounds on learning outcomes in medical education: A systematic review.
Acad Med., 97 (2022), pp. 923-930
[12]
A.F. Yepes, L. Gomez, D.D. Barrios.
An approach to intensive care unit rounds utilizing 5, 10, and 15-minute strategies.
[13]
L. Santhosh, S. Jain, A. Brady, M. Sharp, W.G. Carlos.
Intensive care unit educators: A multicenter evaluation of behaviors residents value in attending physicians.
Ann Am Thorac Soc., 14 (2017), pp. 513-516
[14]
L. Papazian, S. Hraiech, A. Loundou, M.S. Herridge, L. Boyer.
High-level burnout in physicians and nurses working in adult ICUs: A systematic review and meta-analysis.
Intensive Care Med., 49 (2023), pp. 387-400
[15]
H.B. Gershengorn, D.A. Harrison, A. Garland, M.E. Wilcox, K.M. Rowan, H. Wunsch.
Association of intensive care unit patient-to-intensivist ratios with hospital mortality.
JAMA Intern Med., 177 (2017), pp. 388
[16]
M.P. Kerlin, J. McPeake, M.E. Mikkelsen.
Burnout and joy in the profession of critical care medicine.
[17]
C.R. Petri, C.P. Beltran, A.M. Sullivan, A. Anandaiah.
Who is teaching residents in the intensive care unit? Perceptions of interprofessional teaching at an academic medical center.
[18]
D.R. Bridges, R.A. Davidson, P. Soule Odegard, I.V. Maki, J. Tomkowiak, Interprofessional collaboration: Three best practice models of interprofessional education.
Med Educ Online., 16 (2011), pp. 6035
[19]
M. Salvagno, F.S. Taccone, A.G. Gerli.
Can artificial intelligence help for scientific writing?.
[20]
D. Shillan, J.A.C. Sterne, A. Champneys, B. Gibbison.
Use of machine learning to analyse routinely collected intensive care unit data: A systematic review.
Crit Care., 23 (2019), pp. 284
[21]
M.M. Civaner, Y. Uncu, F. Bulut, E.G. Chalil, A. Tatli.
Artificial intelligence in medical education: A cross-sectional needs assessment.
BMC Med Educ., 22 (2022), pp. 772
[22]
A. Ravi, A. Neinstein, S.G. Murray.
Large language models and medical education: Preparing for a rapid transformation in how trainees will learn to be doctors.
[23]
M.I. Monge García, D. García-López, É. Gayat, M. Sander, P. Bramlage, E. Cerutti, et al.
Hypotension prediction index software to prevent intraoperative hypotension during major non-cardiac surgery: Protocol for a European Multicenter Prospective Observational Registry (EU-HYPROTECT).
J Clin Med., 11 (2022), pp. 5585
[24]
K. Maheshwari, T. Shimada, J. Fang, S. Khanna, J.B. Cywinski, S.A. Irefin, et al.
Hypotension Prediction Index software for management of hypotension during moderate- to high-risk noncardiac surgery: Protocol for a randomized trial.
[25]
A. Castellanos-Ortega, M.J. Broch, D. Palacios-Castañeda, V. Gómez-Tello, M. Valdivia, C. Vicent, et al.
Competency assessment of residents of Intensive Care Medicine through a simulation-based objective structured clinical evaluation (OSCE). A multicenter observational study.
Med Intensiva (Engl Ed)., 46 (2022), pp. 491-500
[26]
J. Sweller.
Cognitive load during problem solving: Effects on learning.
Cogn Sci., 12 (1988), pp. 257-285
[27]
M.A. Abdool, D. Bradley.
Twelve tips to improve medical teaching rounds.
Med Teach., 35 (2013), pp. 895-899
[28]
T.W. Reader, B.H. Cuthbertson.
Teamwork and team training in the ICU: Where do the similarities with aviation end?.
Crit Care., 15 (2011), pp. 313
[29]
J. Weile, M.A. Nebsbjerg, S.H. Ovesen, C. Paltved, M.L. Ingeman.
Simulation-based team training in time-critical clinical presentations in emergency medicine and critical care: A review of the literature.
[30]
X.M. Low, D. Horrigan, D.J. Brewster.
The effects of team-training in intensive care medicine: A narrative review.
J Crit Care., 48 (2018), pp. 283-289
[31]
L. Aronson.
Twelve tips for teaching reflection at all levels of medical education.
Med Teach., 33 (2011), pp. 200-205
[32]
A.F. Winkel, S. Yingling, A.A. Jones, J. Nicholson.
Reflection as a learning tool in graduate medical education: A systematic review.
J Grad Med Educ., 9 (2017), pp. 430-439
[33]
S. Razieh, G. Somayeh, H. Fariba.
Effects of reflection on clinical decision-making of intensive care unit nurses.
Nurse Educ Today., 66 (2018), pp. 10-14
[34]
A. Burgess, C. van Diggele, C. Roberts, C. Mellis.
Feedback in the clinical setting.
BMC Med Educ., 20 (2020), pp. 460
[35]
R. Castro, N. Nin, F. Ríos, L. Alegría, A. Estenssoro, G. Murias, Latin-American Intensive Care Network - LIVEN (www.redliven.org), et al.
The practice of intensive care in Latin America: A survey of academic intensivists.
asdasdasd
Opciones de artículo
Herramientas