Abstract Background: Difficult airway is a clinical situation in which a trained anesthesiologist experiences trouble with facemask ventilation and/or laryngoscopy and/or intubation. Poor identification of at-risk patients has been identified as one of the causes of difficult airway management. Objectives: We aimed to review the literature regarding the use of wristbands to identify adult patients with known or predicted difficult airway in hospitals. Methods: We searched Web of Science (WoS), Scopus, MEDLINE and OVID following the stages described by the PRISMA Extension for Scoping Reviews (PRISMA-ScR). We used a combination of MeSH terms and non-controlled vocabulary regarding the use of difficult airway wristbands in adults. Three researchers independently reviewed the full texts and selected the papers to be included based on the inclusion criteria. Results: Our search generated 334 articles after removing duplicates. After reviewing full text articles, only seven studies were included. Here we found that most were from the United States, in which the authors report the use of in-patients’ wristbands in adults. According to the authors, the use of wristbands is being implemented as a measure of improved quality and safety of in-patients with difficult airway either known or suspected. Conclusions: The identification with wristbands of a difficult airway at an appropriate time is an identification strategy can have a low cost but a high impact on morbidity. It is pertinent to develop a methodology such as the use of wristbands, that allows a good classification and identification of patients with difficult airway in hospitals from Latin America.

Resumen Introducción: En la era de la seguridad en la atención en salud, la de atención. La tecnología aplicada a esta problemática, al igual que adherencia a las listas de verificación y el seguimiento de tiempos otros escenarios, podrá contribuir a solucionar un problema que en el área de cirugía, continúan siendo puntos grises en los procesos de atención. La tecnología aplicada a esta problemática, al igual que otros escenarios, podrá contribuir a solucionar un problema que impacta el bienestar y la economía en el sector salud. Objetivo: Presentar el diseño y construcción del software MyCheckTime® que incorpora la metodología Lean de Toyota, bajo el concepto Bundles. Materiales y métodos: Mediante un mapa conceptual se incorporaron cinco medidas al paquete y se construyó una plataforma llamada MyCheckTime® con un código de software desarrollado en Java8, PHP, Javascript, HTML5, Angular4, bases de datos MongoDB-MySQL y tecnologías implementadas Docker, Ionic, VertX, Laravel. Resultados: Se construyó un software (MyCheckTime® ), compuesto por una App disponible para tabletas y móviles con sistema IOS o Android; una plataforma en la web y una base de datos. El software captura en tiempo real el circuito del paciente en el área de cirugía y registra los momentos en que se realizaron las listas de verificación. Conclusión: MyCheckTime® es un software basado en la Metodología Lean que potencialmente permitirá al equipo quirúrgico brindar una atención más eficiente, segura, y oportuna, permitiendo el registro en tiempo real del circuito que el paciente hace en el área de cirugía.

Abstract Introduction: In the age of healthcare safety, compliance with checklists and time tracking in surgery continue to be a gray zone in care processes. The technology applied to approach this issue and other scenarios, may contribute to solve a problem that impacts welfare and the healthcare sector economics. Objective: To introduce the design and construction of the MyCheckTime® software that incorporates Toyota's Lean methodology under the concept of Bundles. Materials and methods: Using a conceptual map, 5 measures were incorporated into the bundle; the MyCheckTime® platform was built based on a software code developed in Java8, PHP, Javascript, HTML5, Angular4, MongoDB-MySQL databases, and Docker, Ionic, VertX, Laravel-implemented technologies. Results: A software (MyCheckTime®) was constructed based on an App available for tablets and IOS and Android system-based mobile devices; a web-based platform and a database. The software captures the patient's circuit in the surgical area in real time, and records the times in which the checklists were conducted. Conclusion: MyCheckTime® is a Lean Methodology-based software that potentially enables the surgical team to deliver more efficient, safer, and timely care, allowing real time recording of the patient's circuit in the surgery area.