Abstract
The integration of administrative and clinical data offers valuable insights into healthcare delivery and enables the optimization of care processes. Given growing demands on the healthcare system, transparent and accessible data are becoming key to enhancing the efficiency of care processes.
To support data-informed decision-making in clinical practice, we developed an interactive dashboard utilizing patient data from hospitals in Upper Austria.
The tool combines two complementary datasets from the “Nursing Documentation” (NUDOCU)” and “Leistungsvergleich Medizin” (LeiVMed) projects. Its primary aim is to enhance operational transparency and to support planning as well as continuous improvement processes in nursing and medical teams.
The dashboard is designed for use by nurses as well as physicians and enables visualization of key patient metrics. These include demographic variables (e.g., age, gender, ASA classification, BMI, type of surgery etc.), the type and volume of diagnostic services (radiological and laboratory) delivered per patient and per nurse across various departments, as well as the estimated time for nursing activities, rates and types of complications. Moreover, it presents patient risk-adjusted comparisons between departments, covering nursing service volume, radiological and laboratory utilization, and complication rates. Additionally, the system allows patient-level data to be accessed and displayed, enabling case-specific insights. All dashboard components are interactive, enabling detailed subgroup analyses.
By enabling a fast and intuitive exploration of complex patient characteristics, the dashboard may contribute to improved care processes.
To support data-informed decision-making in clinical practice, we developed an interactive dashboard utilizing patient data from hospitals in Upper Austria.
The tool combines two complementary datasets from the “Nursing Documentation” (NUDOCU)” and “Leistungsvergleich Medizin” (LeiVMed) projects. Its primary aim is to enhance operational transparency and to support planning as well as continuous improvement processes in nursing and medical teams.
The dashboard is designed for use by nurses as well as physicians and enables visualization of key patient metrics. These include demographic variables (e.g., age, gender, ASA classification, BMI, type of surgery etc.), the type and volume of diagnostic services (radiological and laboratory) delivered per patient and per nurse across various departments, as well as the estimated time for nursing activities, rates and types of complications. Moreover, it presents patient risk-adjusted comparisons between departments, covering nursing service volume, radiological and laboratory utilization, and complication rates. Additionally, the system allows patient-level data to be accessed and displayed, enabling case-specific insights. All dashboard components are interactive, enabling detailed subgroup analyses.
By enabling a fast and intuitive exploration of complex patient characteristics, the dashboard may contribute to improved care processes.
| Translated title of the contribution | Practice Analytics: Development of an Interactive Dashboard for Clinical Use |
|---|---|
| Original language | English |
| Pages | 1-2 |
| Number of pages | 2 |
| Publication status | Accepted/In press - 31 Jul 2025 |
| Event | 2nd Euro Nursing Congress - Mercure Roma west, Rom, Italy Duration: 15 Sept 2025 → 16 Sept 2025 https://www.scitechseries.com/euronursing |
Conference
| Conference | 2nd Euro Nursing Congress |
|---|---|
| Country/Territory | Italy |
| City | Rom |
| Period | 15.09.2025 → 16.09.2025 |
| Internet address |
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