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Showing 8 results for Dashboard
Mahtab Karami, Reza Safdari,
Volume 10, Issue 4 (9-2016)
Volume 10, Issue 4 (9-2016)
Abstract
Background and Aim: Hospital is a complex ecosystem in terms of diversity of services, clients, personnel, equipment, technologies, data and information which are generated. Since the ultimate goal of a hospital is to improve quality of care along with reducing cost, using intellectual tool such as dashboard can create strategic value.
Materials and Methods: This review article was performed based on a literature review and internet search through such scientific databases as PubMed, EBSCO host research, Proquest, Emerald, Web of science and search engine such as Google, Google Scholar. In this study, the articles about intellectual capitals as well as the application of dashboard in healthcare between year 2009 and 2013 were reviewed.
Conclusion: Application of dashboard in hospital can create strategic values such as respond to environmental changes rapidly, identify new market opportunities, become a learning organization by discovering new patterns and relationship among data, achieve best practices by analyzing patterns of treatment and results and achieve the highest efficiency.
Reza Safdari, Mahboubeh Mirzaee, Mahni Mehdibagli,
Volume 12, Issue 2 (7-2018)
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.
Reza Safdari, Abdorreza Naser Moghadasi, Sahar Khenarinezhad, Ehsan Ghazanfarisavadkoohi,
Volume 14, Issue 5 (1-2021)
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.
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.
Eng. Meisam Fallahnezhad, Reza Safdari,
Volume 15, Issue 3 (8-2021)
Volume 15, Issue 3 (8-2021)
Abstract
Background and Aim: Large amounts of hospital costs are not reimbursed annually by health insurance as deductions. Therefore, reducing deductions is very important for the hospital. In the study of design and implementation of analytical dashboard of insurance deductions based on medical intelligence business, to improve financial management with the aim of focusing on assessing the level of satisfaction and its applicability has been done.
Materials and Methods: To design the questionnaire, first 27 questions were prepared through library studies and interviews with members of the hospital board of directors, and the validity and consistency of its items were determined through content validity and Cronbach’s alpha coefficient. Data were analyzed in SPSS software and the results were used to design and implement the dashboard.
Results: The study is of development-applied type. In the first phase, to determine Content Validity Ratio CVI (Content Validity Index), and CVR (Content Validity Ratio) a researcher-made questionnaire was provided to 20 experts. In the second phase, by building a data warehouse in SQL (Structured Query Language), the information of the tables related to the deductions of the hospital HIS system was transferred to it and the operational information of the organization was extracted and converted into DW format and the map information was tested. OLAP (Online Analytical Processing) services were then loaded on the created analytics database. In the last step, Power BI tool was selected and used to create business intelligence mechanisms, display and visualize information. In the third phase, using the QUIS (Questionnaire for User Interface Satisfaction) standard questionnaire, the level of satisfaction and usability of the dashboard was evaluated by 15 experts.
Conclusion: In this study, two questionnaires were used. CVR was measured in all items of the first questionnaire, more than 0.50 and CVI was measured in the upper areas of 0.90 and Cronbach’s alpha coefficient was obtained between 0.8 and 0.9, which indicated a good level. The second questionnaire was to evaluate the level of satisfaction and usability of the dashboard that the average of the total evaluation based on the indicators of the QUIS questionnaire is equal to 85.40. Therefore, the level of satisfaction and usability of the dashboard was “very good” for the evaluators.
Materials and Methods: To design the questionnaire, first 27 questions were prepared through library studies and interviews with members of the hospital board of directors, and the validity and consistency of its items were determined through content validity and Cronbach’s alpha coefficient. Data were analyzed in SPSS software and the results were used to design and implement the dashboard.
Results: The study is of development-applied type. In the first phase, to determine Content Validity Ratio CVI (Content Validity Index), and CVR (Content Validity Ratio) a researcher-made questionnaire was provided to 20 experts. In the second phase, by building a data warehouse in SQL (Structured Query Language), the information of the tables related to the deductions of the hospital HIS system was transferred to it and the operational information of the organization was extracted and converted into DW format and the map information was tested. OLAP (Online Analytical Processing) services were then loaded on the created analytics database. In the last step, Power BI tool was selected and used to create business intelligence mechanisms, display and visualize information. In the third phase, using the QUIS (Questionnaire for User Interface Satisfaction) standard questionnaire, the level of satisfaction and usability of the dashboard was evaluated by 15 experts.
Conclusion: In this study, two questionnaires were used. CVR was measured in all items of the first questionnaire, more than 0.50 and CVI was measured in the upper areas of 0.90 and Cronbach’s alpha coefficient was obtained between 0.8 and 0.9, which indicated a good level. The second questionnaire was to evaluate the level of satisfaction and usability of the dashboard that the average of the total evaluation based on the indicators of the QUIS questionnaire is equal to 85.40. Therefore, the level of satisfaction and usability of the dashboard was “very good” for the evaluators.
Mrs Fatemeh Rangraz Jeddi, Ehsan Nabovati, Shima Anvari Tafti, Parisa Yousefi Konjdar,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: A medication dashboard could provide executive directors and managers with the ability to manage medication resources in hospitals. This study aimed to design, implement, and evaluate a medication resources management dashboard for general hospitals.
Materials and Methods: This study was of the development-applied type conducted in an academic therapeutic community center. Based on scientific sources, the dashboard’s key performance indicators (KPIs) and functional requirements were identified. The data collection tool was a questionnaire comprising demographic information, KPIs, and functional requirements. The dashboard conceptual model was designed using Rational Rose software, and then POWER BI software was used to develop the system. The usability of the dashboard was evaluated using the standard questionnaire for End User Computing Satisfaction by 10 users. The data were analyzed in SPSS software using descriptive statistics.
Results: The most important KPIs determined for a medication resources management dashboard in general hospitals were “the ratio of antibiotic consumption to total number of drugs”, “the ratio of the antibiotic prescribed by general practitioners to total number of drugs”, “the ratio of patients for whom antibiotics were prescribed to all patients”, and “the ratio of the number of drug items prescribed by specialists to all physicians”. The most important functional requirements determined were “updating information at specific intervals “, “checking the dashboard at different time intervals”, “defining access levels to view the information”, and “choosing between graphical and tabular displays”. Usability evaluation showed that users’ satisfaction with the dashboard content variable was “very high” and for the other variables was at a “high” level.
Conclusion: The KPIs associated with antibiotics and drug costs within the medication dashboard of general hospitals are high priority. Future studies should evaluate the impact of using a medication dashboard on hospital executive directors’ and managers’ decision-making.
Malihe Ghanaatjoo, Nader Jahanmehr, Dr. Hamed Dehnavi, Aida Samadi,
Volume 18, Issue 2 (5-2024)
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: The increase in the amount of information and the need for their daily monitoring have led to the development of tools called management dashboards that have the ability to analyze graphical data. In addition to preparing quick reports in different time frames and user-specific format, the dashboard can be useful for providing dynamic updated information for accurate decision-making and quick response to changes.
Materials and Methods: The current research was carried out in the form of qualitative studies and participatory action research method in 9 steps. In this applied and developmental research that was conducted cross-sectionally using the data of the first half of 2022, 11 members of the leadership team of a super-specialized children’s hospital were selected as research participants. The data collection tool was an interview using a questionnaire to determine the importance of indicators and a usability questionnaire (usability) of the dashboard based on three independent variables (usefulness, ease of use and satisfaction). The Excel file of data needed for the dashboard was collected from the HIS system of the hospital, and the dashboard was designed with Power BI software, and the capabilities and access levels of users were determined based on their duties. Data analysis was done using descriptive statistics and Excel software version 2016.
Results: In the stage of determining key performance indicators, out of 39 indicators selected by the research team, 22 indicators scored an average score of 4 or higher (from 5 points) and 21 indicators were able to be implemented. The data repository in Excel format was used as an intermediate environment. The dashboard was displayed on six pages (indicators related to the performance of inpatient beds, mortality, emergency and other indicators) and the capabilities of each page were determined. After implementing the dashboard and determining the access levels of users, obtaining a high score from the questions of the usability questionnaire (5 out of 7 points) and obtaining an average score of 71.8 out of 5 questions related to usefulness variables, 70.5 out of 8 questions related to ease of use. And 71 out of 3 questions related to the satisfaction variable showed that the dashboard designed for the hospital had high usability.
Conclusion: Hospital management dashboard information can be a basis for informed decision-making to achieve benefits such as identifying the best performance, improving performance quality, making faster decisions, reducing errors, improving capacity management and work flow, allocating resources and planning for growth and development.
Materials and Methods: The current research was carried out in the form of qualitative studies and participatory action research method in 9 steps. In this applied and developmental research that was conducted cross-sectionally using the data of the first half of 2022, 11 members of the leadership team of a super-specialized children’s hospital were selected as research participants. The data collection tool was an interview using a questionnaire to determine the importance of indicators and a usability questionnaire (usability) of the dashboard based on three independent variables (usefulness, ease of use and satisfaction). The Excel file of data needed for the dashboard was collected from the HIS system of the hospital, and the dashboard was designed with Power BI software, and the capabilities and access levels of users were determined based on their duties. Data analysis was done using descriptive statistics and Excel software version 2016.
Results: In the stage of determining key performance indicators, out of 39 indicators selected by the research team, 22 indicators scored an average score of 4 or higher (from 5 points) and 21 indicators were able to be implemented. The data repository in Excel format was used as an intermediate environment. The dashboard was displayed on six pages (indicators related to the performance of inpatient beds, mortality, emergency and other indicators) and the capabilities of each page were determined. After implementing the dashboard and determining the access levels of users, obtaining a high score from the questions of the usability questionnaire (5 out of 7 points) and obtaining an average score of 71.8 out of 5 questions related to usefulness variables, 70.5 out of 8 questions related to ease of use. And 71 out of 3 questions related to the satisfaction variable showed that the dashboard designed for the hospital had high usability.
Conclusion: Hospital management dashboard information can be a basis for informed decision-making to achieve benefits such as identifying the best performance, improving performance quality, making faster decisions, reducing errors, improving capacity management and work flow, allocating resources and planning for growth and development.
Somayyeh Zakerabasali, Farnaz Salehian,
Volume 18, Issue 3 (7-2024)
Volume 18, Issue 3 (7-2024)
Abstract
Background and Aim: Today, information dashboards are the main tools for understanding and extracting knowledge from large data sets and can be used in various forms by healthcare providers. At the same time as the COVID-19 epidemic, several information dashboards were designed and developed. Still, due to the speed of the spread of this virus, there was no opportunity to evaluate them. Therefore, this research was conducted to evaluate the usability of the Covid-19 management dashboard.
Materials and Methods: This descriptive-cross-sectional study was conducted on the management dashboard of Shiraz University of Medical Sciences. The dashboard was evaluated using an exploratory evaluation method with the participation of three medical informatics experts. Each of the evaluators evaluated the system independently and identified its problems by using thirteen principle checklist. Then, with the presence of all evaluators, the list of identified problems was combined, repeated problems were removed from the list and a single list was prepared. In this joint meeting, any disagreements about the problems found by the evaluators were discussed and reached a common opinion. Finally, the evaluators determined and reported the severity of the problems.
Results: In this evaluation, a total of 79 usability problems were identified. The highest number of problems was related to the feature “Help and Documentation” (12 problems), and the lowest number of problems was related to the features “Aesthetic and Minimalist Design” (2 problems) and “Privacy” (1 problem). 45.58% of the identified problems were in the category of major problems. The average degree of severity of the problems was from 2.05 (minor problem) related to the feature of “Pleasurable and Respectful Interaction with the User” to 2.99 (major problem) related to the feature of “User Control and Freedom”. Also, the average severity of problems was calculated as 2.5, classified in the range of minor problems.
Conclusion: The heuristic evaluation method identifies user interface problems of information systems and dashboards using predetermined standards. If these problems are not resolved, they will cause users’ time wasted, errors to increase, information quality to decrease, and users’ dissatisfaction and confusion.
Materials and Methods: This descriptive-cross-sectional study was conducted on the management dashboard of Shiraz University of Medical Sciences. The dashboard was evaluated using an exploratory evaluation method with the participation of three medical informatics experts. Each of the evaluators evaluated the system independently and identified its problems by using thirteen principle checklist. Then, with the presence of all evaluators, the list of identified problems was combined, repeated problems were removed from the list and a single list was prepared. In this joint meeting, any disagreements about the problems found by the evaluators were discussed and reached a common opinion. Finally, the evaluators determined and reported the severity of the problems.
Results: In this evaluation, a total of 79 usability problems were identified. The highest number of problems was related to the feature “Help and Documentation” (12 problems), and the lowest number of problems was related to the features “Aesthetic and Minimalist Design” (2 problems) and “Privacy” (1 problem). 45.58% of the identified problems were in the category of major problems. The average degree of severity of the problems was from 2.05 (minor problem) related to the feature of “Pleasurable and Respectful Interaction with the User” to 2.99 (major problem) related to the feature of “User Control and Freedom”. Also, the average severity of problems was calculated as 2.5, classified in the range of minor problems.
Conclusion: The heuristic evaluation method identifies user interface problems of information systems and dashboards using predetermined standards. If these problems are not resolved, they will cause users’ time wasted, errors to increase, information quality to decrease, and users’ dissatisfaction and confusion.
Creating a Management Dashboard for the Oncology Ward to Monitor Health Data of Children with Cancer
Saber Yazdani Damavandi, Tayebeh Baniasadi, Mohammad Ali Molavi, Farid Khorrami,
Volume 19, Issue 5 (12-2025)
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.
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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