A User-Centered, SMART-on-FHIR-Based Dashboard Prototype for Diabetic Macular Edema
- 1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany
Abstract
IntroductionDiabetic macular edema (DME) management requires integration of ophthalmic and systemic data, yet clinical decision-making remains limited by fragmented information systems and insufficient interoperability. This study aims to design a user-centered, interoperable dashboard prototype to support integrated clinical decision-making in DME care.
MethodsThe prototype was developed using an agile, user-centered approach and implemented within a SMART-on-FHIR-compatible layered architecture. FHIR-based data standardization, including ophthalmology-specific profiling, enabled interoperable integration and visualization of structured clinical and imaging data within a modular web-based dashboard prototype.
ResultsThe resulting prototype provides a patient-centered dashboard integrating ophthalmic imaging findings and systemic risk factors, such as long-term glycemic markers, inflammatory markers, and blood pressure, within a unified interface. Built on standardized FHIR resources and SMART-on-FHIR authorization, the system demonstrates how user-centered dashboards can be implemented within interoperable, vendor-neutral healthcare IT infrastructures.
ConclusionThe presented design case illustrates how user-centered interface design and standards-based interoperability can jointly support the translation of clinical decision support tools into routine care environments. Establishing such interoperable infrastructures represents a key prerequisite for the sustainable deployment of future model-based clinical decision support systems.
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BibTeX
@misc{hoffmann2026usercentered,
title = {{A User-Centered, SMART-on-FHIR-Based Dashboard Prototype for Diabetic Macular Edema}},
author = {K. Hoffmann and S. Grummt and H. Mishian and M. Nussbaumer and M. Wolfien and G. Stolze and K. Engelmann and M. Sedlmayr},
howpublished = {medRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.15.26362892},
url = {https://www.medrxiv.org/content/10.64898/2026.09.15.26362892v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - A User-Centered, SMART-on-FHIR-Based Dashboard Prototype for Diabetic Macular Edema
AU - K. Hoffmann
AU - S. Grummt
AU - H. Mishian
AU - M. Nussbaumer
AU - M. Wolfien
AU - G. Stolze
AU - K. Engelmann
AU - M. Sedlmayr
PY - 2026
DA - 2026/09/15
PB - medRxiv
DO - 10.64898/2026.09.15.26362892
UR - https://www.medrxiv.org/content/10.64898/2026.09.15.26362892v1
AB - IntroductionDiabetic macular edema (DME) management requires integration of ophthalmic and systemic data, yet clinical decision-making remains limited by fragmented information systems and insufficient interoperability. This study aims to design a user-centered, interoperable dashboard prototype to support integrated clinical decision-making in DME care. MethodsThe prototype was developed using an agile, user-centered approach and implemented within a SMART-on-FHIR-compatible layered architecture. FHIR-based data standardization, including ophthalmology-specific profiling, enabled interoperable integration and visualization of structured clinical and imaging data within a modular web-based dashboard prototype. ResultsThe resulting prototype provides a patient-centered dashboard integrating ophthalmic imaging findings and systemic risk factors, such as long-term glycemic markers, inflammatory markers, and blood pressure, within a unified interface. Built on standardized FHIR resources and SMART-on-FHIR authorization, the system demonstrates how user-centered dashboards can be implemented within interoperable, vendor-neutral healthcare IT infrastructures. ConclusionThe presented design case illustrates how user-centered interface design and standards-based interoperability can jointly support the translation of clinical decision support tools into routine care environments. Establishing such interoperable infrastructures represents a key prerequisite for the sustainable deployment of future model-based clinical decision support systems.
ER -