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„Smart eye data“

Entwicklung eines Fundaments für medizinische Forschung mittels Smart-Data-Applikationen

Smart eye data

Development of a foundation for medical research using Smart Data applications

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Zusammenfassung

Hintergrund

Unter Smart Data versteht man die intelligente Sammelplanung, Umsetzung und Evaluation großer Datenmengen. Dies trifft auch auf die Augenheilkunde zu, da mehr und mehr Daten digital anfallen. Einen zusätzlichen Erkenntnisgewinn sowie Möglichkeiten der personalisierten Therapie erwartet man sich aus der Kombination der Messdaten mit klinischen Werten aus einer digitalen Akte.

Ziel der Arbeit

Im Rahmen dieser Arbeit soll gezeigt werden, wie man die Daten aus Messgeräten sowie einer digitalen Akte in einem „Data Warehouse“ (DW) zusammenführen kann.

Material und Methoden

Es wurde eine Erweiterung des klinischen Informationssystems (Krankenhausinformationssystem [KIS]) um Eingabemasken für die Augenheilkunde durchgeführt, sowie Arztbriefe wurden exportiert. Diese Daten werden nächtlich in ein DW importiert. Die Anbindung von Diagnostikgerät an das KIS per HL7-Schnittstelle erfolgte über ein Bildarchivsystem. Der Export von Messdaten in das DW geschah über selbst entwickelte Programme. Zur Datenanalyse wurde eine Software für augenärztliche Bedürfnisse modifiziert.

Ergebnisse

Es wurden 12 Eingabemasken innerhalb des KIS geschaffen sowie der Inhalt von 32.234 Arztbriefen importiert. Es konnten 23 Diagnostikgeräte an das Bildverwaltungssystem angeschlossen werden und 85.114 OCT (optische Kohärenztomographie)-Datensätze, 19.098 IOLMaster-Datensätze sowie 5425 Pentacam-Datensätze in das DW mit über 300.000 Patienten importiert werden. Zur Datenanalyse wurde eine Auswertungssoftware entwickelt, die Filtermöglichkeiten bietet.

Diskussion

Durch den Aufbau eines DW steht eine Grundlage für klinische und epidemiologische Auswertungen zur Verfügung. In Zukunft kann der Datenbestand genutzt werden, um Entscheidungsfindungssysteme sowie Anwendungen für personalisierte Medizin zu entwickeln.

Abstract

Background

Smart Data means intelligent data accumulation and the evaluation of large data sets. This is particularly important in ophthalmology as more and more data are being created. Increasing knowledge and personalized therapies are expected by combining clinical data from electronic health records (EHR) with measurement data.

Objective

In this study we investigated the possibilities to consolidate data from measurement devices and clinical data in a data warehouse (DW).

Material and methods

An EHR was adjusted to the needs of ophthalmology and the contents of referral letters were extracted. The data were imported into a DW overnight. Measuring devices were connected to the EHR by an HL7 standard interface and the use of a picture archiving and communications system (PACS). Data were exported from the review software using a self-developed software. For data analysis the software was modified to the specific requirements of ophthalmology.

Results

In the EHR 12 graphical user interfaces were created and the data from 32,234 referral letters were extracted. A total of 23 diagnostic devices could be linked to the PACS and 85,114 optical coherence tomography (OCT) scans, 19,098 measurements from IOLMaster as well as 5,425 pentacam examinations were imported into the DW including over 300,000 patients. Data discovery software was modified providing filtering methods.

Conclusion

By building a DW a foundation for clinical and epidemiological studies could be implemented. In the future, decision support systems and strategies for personalized therapies can be based on such a database.

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Authors and Affiliations

  1. Augenklinik, Universität München, Mathildenstr. 8, 80336, München, Deutschland

    K. Kortüm, M. Müller, C. Hirneiß, A. Babenko, C. Kern, A. Kampik, S. Priglinger & T. C. Kreutzer

  2. Institut für Biometrie und Epidemiologie in der Medizin, Universität München, München, Deutschland

    D. Nasseh

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  1. K. Kortüm
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  2. M. Müller
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  6. C. Kern
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  7. A. Kampik
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  9. T. C. Kreutzer
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Correspondence to K. Kortüm.

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Interessenkonflikt

K. Kortüm, M. Müller, C. Hirneiß, A. Babenko, D. Nasseh, C. Kern, A. Kampik, S. Priglinger und T.C. Kreutzer geben an, dass kein Interessenkonflikt besteht.

Dieser Beitrag beinhaltet keine von den Autoren durchgeführten Studien an Menschen oder Tieren.

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Kortüm, K., Müller, M., Hirneiß, C. et al. „Smart eye data“. Ophthalmologe 113, 469–477 (2016). https://doi.org/10.1007/s00347-016-0272-2

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