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The Design of a Quality Improvement Dashboard for Monitoring Spinal Cord and Column Injuries Publisher



Azadmanjir Z1, 2 ; Sadeghinaini M3 ; Dashtkoohi M2, 4 ; Moradilakeh M5, 6, 7 ; Arabkheradmand J8, 9 ; Harrop JS10 ; Rahimimovaghar V2, 11, 12, 13
Authors
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Authors Affiliations
  1. 1. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Neurosurgery, Lorestan University of Medical Sciences, Khoram-Abad, Iran
  4. 4. Students Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Community and Family Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
  7. 7. Institute for Health Metrics and Evaluation: Seattle, WA, United States
  8. 8. Ahya Neuroscience Research Center, Tehran, Iran
  9. 9. Defense Health Research Center, Tehran, Iran
  10. 10. Department of Neurological and Orthopedic Surgery, Thomas Jefferson University, Philadelphia, United States
  11. 11. Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. Universal Scientific Education and Research Network (USERN), Tehran, Iran
  13. 13. Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran

Source: Informatics in Medicine Unlocked Published:2024


Abstract

Background: Interactive dashboards are a powerful tool for dynamic visualization and monitoring of patient performance and serve as a useful to for optimal decision-making. The National Spinal Column and Cord Injury Registry of Iran (NSCIR-IR) was designed to efficiently display and broadcast important patient care data. This has been achieved through an electronic dashboard display (graph and visual displays), rather than traditional static paper reports (text). Objectives: The objective of this study was to design and develop an electronic visual dashboard as a display system to monitor the quality of care in the NSCIR-IR collaborating centers. Methods: The indicators chosen were 20 pre-hospital and in-hospital quality of care (QoC) assessment tool indicators. A structured query was created from the NSCIR-IR system database to create the dashboard database. The Microsoft Power BI software was used. After data cleaning, filtering of erroneous records, and modeling, visual displays were designed and evaluated. Results: The dashboard reported on quality of care (QoC) for 2,745 patients registered in NSCIR-IR. 17% of registered cases had at least one data error in the quality of care indicators. These errors were automatically filtered by the system. The two most prominent weaknesses in (QoC indicators were delay in patient transfer by EMS (Mean and SD were 9.54 ± 13.8 h) and timing of surgical spinal cord decompression (114.5 ± 45.3 h). Conclusions: Electronic dashboards provide efficient and concise data summaries “at a glance”. However, their value and accuracy are dependent on the entered data quality. Identifying data source errors and correcting them continuously led to improved quality of data. © 2024 The Authors
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