Design and evaluation of collaborative decision‐making application for patient care in the emergency department

Abstract

AbstractBackground and AimsCollaboration has become a crucial element of effective healthcare delivery in the emergency department (ED). In high‐pressure environments, healthcare providers can prioritize patients by consulting with other specialists to gain diverse perspectives and arrive at a shared understanding of the best course of action. It was conducted for the purpose of designing and evaluating the collaborative decision‐making application for patient care in the ED.MethodsThe present applied research study was conducted between April 1, 2021 and May 31, 2023 at Imam Reza Hospital of Tabriz University of Medical Sciences. The study was conducted in three phases: exploration, development, and evaluation, utilizing modern technologies such as Flutter and Node.js to design and program the application. The effectiveness of the system was evaluated using established measures, including the think‐aloud protocol, user experience questionnaire, and Likert‐scale questionnaires developed by Ghadri et al.ResultsThe average scale for attractiveness was 2.03, perspicuity was 2.90, efficiency was 2.40, dependability was 1.93, stimulation was 2.48, and novelty was 2.78. Additionally, 71% of physicians gave a very good rating to the accessibility of necessary information at any time, motivation to use the system for accessing information, usefulness of the system compared to the time spent using it throughout the day. Furthermore, 57% of physicians gave a very positive rating to sharing information and knowledge, ease of using the search function and accessing the system, user control and monitoring, free access to the system, and support from colleagues and system users.ConclusionThe study suggests that introducing Information and Communication Technology such as medical apps can improve healthcare delivery by streamlining patient care, promoting effective teamwork, and reducing medical errors and treatment delays.