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Showing 2 results for Key Performance Indicator

Reza Safdari, Abdorreza Naser Moghadasi, Sahar Khenarinezhad, Ehsan Ghazanfarisavadkoohi,
Volume 14, Issue 5 (1-2021)
Abstract

Background and Aim: Taking a wide range of medications in Multiple sclerosis (MS) patients can lead to side effects and drug interactions. Therefore, the use of intelligent systems such as drug monitoring systems can help in the effective and timely treatment of MS disease. In this regard, the present study was conducted to design, development, and evaluation of the drug monitoring system for multiple sclerosis patients.
Materials and Methods: The present descriptive-developmental study was performed in four stages. In the first stage, by searching the library resources and valid guidelines, the minimum data set was determined and provided to neurologists and MS fellowships in the form of checklists for validation. Then the software was designed logically and coded based on the opinion of experts. In the last stage, the software was evaluated by end-users.
Results: The information elements in the software design were categorized into patient demographic information, medical history, clinical signs, imaging procedures, laboratory tests for ocrelizumab and fingolimod drugs, counseling, and treatment data. Finally, the performance of the drug monitoring system was evaluated with an average of 7.9 and was approved by users.
Conclusion: The results of software evaluation showed that the drug monitoring system can help general practitioners, neurologists, and MS fellowships in monitoring and follow-up of patients and lead to increased patient safety.

Saber Yazdani Damavandi, Tayebeh Baniasadi, Mohammad Ali Molavi, Farid Khorrami,
Volume 19, Issue 5 (12-2025)
Abstract

Background and Aim: Cancer has been recognized as the second leading cause of child mortality in recent years. Due to the increasing amount of healthcare data for cancer patients, healthcare providers need a tool to monitor patients for immediate intervention. An intelligent and dynamic information management dashboard is capable of compiling and displaying data using charts and tables. In the present study, a management dashboard was designed for the oncology department of a children’s hospital, and its usability was evaluated.
Materials and Methods: This developmental–applied research was conducted in 2024 at the Educational, Medical, and Research Center for Children in Bandar Abbas. In order to create a management dashboard for the pediatric oncology department, three stages were carried out. In the first stage, all necessary content to be displayed on the dashboard was extracted based on a review of literature and documents from the oncology department of Bandar Abbas Children’s Hospital. This content was then validated by experts using the Delphi method in two rounds. In the second stage, a prototype of dashboard for the oncology ward was designed using Power BI Desktop software. Finally, its usability was evaluated using a SUS questionnaire by 20 users. The data were analyzed using descriptive statistics with SPSS software.
Results: Following the screening of 3,435 initial records and a review of 22 articles alongside 38 patient files, a preliminary set of 104 managerial and 67 clinical indicators was extracted. These indicators were validated through a tworound Delphi process with 12 experts, resulting in the final selection of 105 managerial and 71 clinical indicators for dashboard inclusion. Based on this validated set, a tenpage managerial dashboard was developed to present key performance metrics. Usability assessment using the System Usability Scale (SUS) yielded a mean score of 75.87, which, according to the Bangor scale, is classified as “acceptable” and corresponds to a grade of “excellent.” User feedback informed subsequent refinements to the dashboard’s data visualizations and interface. In summary, the developed dashboard represents an effective and userfriendly tool for monitoring and managing information within a pediatric oncology department.
Conclusion: The pediatric oncology management dashboard facilitates the integration and summarization of essential data for healthcare providers, thereby assisting them in making timely diagnoses and interventions for children with cancer. Additionally, the present dashboard demonstrates appropriate usability, which enhances users’ understanding of health information and leads to more accurate decision-making.


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