[Smart eye data : Development of a foundation for medical research using Smart Data applications]

A Systematic Review of Digital Ophthalmoscopes in Medicine

Purpose

Recent advances in telemedicine have led to increased use of digital ophthalmoscopes (DO) in clinical settings. This review aims to assess commercially available DOs, including smartphone (SP), desktop, and handheld ophthalmoscopes, and evaluate their applications.

Methods

A literature review was performed by searching PubMed (pubmed.ncbi.nlm.nih.gov), Web of Science (webofknowledge.com), and Science Direct (sciencedirect.com). All English-language papers that resulted from the search terms "digital ophthalmoscope", "screening tool", "glaucoma screening", "diabetic retinopathy screening", "cataract screening", and "papilledema screening" were reviewed. Studies that contained randomized clinical trials with human participants between January 2010 and December 2020 were included. The Risk of Bias in Systematic Reviews (ROBIS) tool was used to assess the methodological quality of each included paper.

Results

Of the 1307 studies identified, 35 met inclusion and exclusion criteria. The ROBIS tool determined that 29/35 studies (82.8%) had a low risk of bias, 3/35 (8.5%) had a moderate risk of bias, and 3/35 (8.5%) had a high risk of bias.

Conclusion

The continued adoption of DOs remains uncertain because of concerns about the image quality for non-mydriatic eyes and the confidence in data captured from the device. Likewise, there is a lack of guidelines for the use of DOs, which makes it difficult for providers to determine the best device for their practice and to ensure appropriate use. Even so, DOs continue to gain acceptance as technology and practice integration improve, especially in underserved areas with limited access to ophthalmologists.

Evaluation of Automated Measurement of Macular Ischemic Changes in Retinal Vein Occlusion With Optical Coherence Tomography Angiography

OBJECTIVE

The foveal avascular zone (FAZ) is altered in patients with retinal vein occlusion (RVO) and correlates inversely with visual acuity. Optical coherence tomography angiography (OCTA) is an imaging tool to visualize FAZ safely and easily. Automated measurements can facilitate interpretation of OCTA images. In this comparative cross-sectional study, we compare the results of manual measurement of the FAZ with automated measurement by built-in application (Metrix).

METHODS

The study included patients with RVO who underwent OCTA. Manual measurement was compared with automated evaluation by Metrix in 3 mm x 3 mm and 6 mm x 6 mm scan sizes and correlations of the circularity, circumference, and size of the FAZ were calculated.

RESULTS

Forty-seven eyes were included in the study. A reliable measurement result in both Metrix 3 mm x 3 mm and 6 mm x 6 mm was found in only 25 of 47 eyes. The mean FAZ in these eyes by manual measurement was 0.50 mm2 compared with 0.20 mm2 and 0.24 mm2, respectively, by automated measurement. A statistically significant inverse correlation was found in both the automated 3 mm x 3 mm and 6 mm x 6 mm measurements for FAZ circumference with FAZ circularity but not FAZ area.

CONCLUSION

The two automated measurements showed no significant bias regarding the size of the FAZ, but the plausibility of the data should be checked on a case-by-case basis. The manual measurements were higher, indicating limited agreement of manual and automated measurements. The information on circularity can point to ischemic maculopathy early in the course of the disease. [Ophthalmic Surg Lasers Imaging Retina 2023;54:462-469.].

Phototherapeutische Keratektomie bei rezidivierenden Hornhauterosionen verschiedener epithelialer Genese: Einfluss der Ablationstiefe auf Pachymetrie und Refraktion

Einführung

Die phototherapeutische Keratektomie gilt heute als etabliertes Therapieverfahren für Patienten, welche unter therapierefraktären genetisch bedingten Hornhautdystrophien oder rezidivierenden Erosiones ohne zugrunde liegende Basalmembrandystrophie leiden.

Ziel der Arbeit

Ziel der Arbeit war es, Änderungen der Refraktion und der Pachymetrie nach phototherapeutischer Keratektomie bei Patienten, welche eine epitheliale Basalmembrandystrophie oder rezidivierende Erosiones ohne zugrunde liegende Basalmembrandystrophie (traumatisch/nichttraumatisch bedingt) aufweisen, zu analysieren.

Material und Methoden

Die Patientendaten wurden retrospektiv aus dem Smart-Eye-Data-Datenbank-System der Augenklinik der LMU in den Jahren 2014 bis 2020 zusammen mit diagnostischen Daten aus Pentacam HR und Autorefraktometer ausgewertet. Als festes Therapieregime wurde eine Photoablation von 10 μm für epitheliale Basalmembrandystrophie und 6 μm für Patienten ohne Basalmembrandystrophie gewählt.

Ergebnisse

In beiden Kollektiven konnte eine Abnahme der Pachymetrie am Apex nachgewiesen werden (epitheliale Basalmembrandystrophie: Abnahme 25,8 μm, ±19,6 μm SD, Bandbreite −12–97 μm; keine Basalmembrandystrophie: Abnahme 12,3 μm, ±17,6 μm SD, Bandbreite −39–68 μm). Es kam zu keiner signifikanten Zu- oder Abnahme der „total corneal refractive power“ im epitheliale Basalmembrandystrophie-Kollektiv, im Kollektiv der rezidivierenden Erosiones ohne Basalmembrandystrophie zu einer signifikanten Zunahme von 42,3 dpt auf 42,6 dpt (Veränderung ±0,8 dpt SD, p < 0,05). Das sphärische Äquivalent zeigte keine Veränderung im Follow-up-Intervall für das epitheliale Basalmembrandystrophie Kollektiv. Hingegen zeigte das Kollektiv ohne Basalmembrandystrophie eine statistisch signifikante Abnahme des SE um 0,4 dpt (±0,7 dpt SD, p < 0,05). Das mittlere Follow-up-Intervall betrug 126 Tage (CI 95 %: 104 bis 147 Tage).

Schlussfolgerung

Ein signifikanter Einfluss auf die Refraktion konnte in der durchgeführten Studie in Bezug auf die „total corneal refractive power“ für beide Kollektive nur in geringem Maße festgestellt werden. Der finale Abtrag anhand der Pachymetrie am Apex hingegen kann auf das 2,3- bis 2,6-Fache der ursprünglichen Ablationstiefe geschätzt werden. Ursachen hierfür sind einerseits der Laserabtrag selbst sowie der Einfluss der reaktiven Wundheilung des kornealen Epithels.

[Automated data extraction into a cataract surgery registry : Automatic investigation of results in the registry on ophthalmological analysis (ROPHA)]

BACKGROUND

Medical data should be evaluated with respect to quality management, for scientific and research purposes on the basis of registries. These data are stored in the EMR in an unstructured way and are not suitable for automatic evaluation.

METHOD

The EMR tomedo (Zollsoft/Jena) and the PACS of FORUM (Zeiss/Oberkochen) manage personal, medical and image data for cataract surgery. New developed input masks gather data from diagnostic tools direct in a structured way. These data are automatically extracted by an ETL process and are stored in our data warehouse. Via Excel specific data can be selected and displayed in the dashboard. All medical data are structured and stored electronically. Few data are entered manually and most of the data are entered by pull-down menus or taken over directly from diagnostic equipment.

RESULTS

A total of 2816 cataract surgeries of 1844 patients were selected for a first analysis. Results of IOL type distribution in relation to the patients and to the surgeons are displayed as well as prediction error of refraction for the 4 different groups of IOLs.

DISCUSSION

Structured data input into the EMR (electronic medical record) makes data for automatic extraction available thus reducing input errors or confounding data. The result is a high quality of data sets. Input of epidemiological and general medical data also helps to perform health services research. These registry data represent better information for real live data than data from clinical trials. Bureaucratic hurdles in Germany prevent the use of registry data.

Big data simulations for capacity improvement in a general ophthalmology clinic

Purpose

Long total waiting times (TWT) experienced by patients during a clinic visit have a significant adverse effect on patient’s satisfaction. Our aim was to use big data simulations of a patient scheduling calendar and its effect on TWT in a general ophthalmology clinic. Based on the simulation, we implemented changes to the calendar and verified their effect on TWT in clinical practice.

Design and methods

For this retrospective simulation study, we generated a discrete event simulation (DES) model based on clinical timepoints of 4.401 visits to our clinic. All data points were exported from our clinical warehouse for further processing. If not available from the electronic health record, manual time measurements of the process were used. Various patient scheduling models were simulated and evaluated based on their reduction of TWT. The most promising model was implemented into clinical practice in 2017.

Results

During validation of our simulation model, we achieved a high agreement of mean TWT between the real data (229 ± 100 min) and the corresponding simulated data (225 ± 112 min). This indicates a high quality of the simulation model. Following the simulations, a patient scheduling calendar was introduced, which, compared with the old calendar, provided block intervals and extended time windows for patients. The simulated TWT of this model was 153 min. After implementation in clinical practice, TWT per patient in our general ophthalmology clinic has been reduced from 229 ± 100 to 183 ± 89 min.

Conclusion

By implementing a big data simulation model, we have achieved a cost-neutral reduction of the mean TWT by 21%. Big data simulation enables users to evaluate variations to an existing system before implementation into clinical practice. Various models for improving patient flow or reducing capacity loads can be evaluated cost-effectively.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00417-020-05040-9.

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Background

Many comprehensive cancer centers incorporate tumor documentation software supplying structured information from the associated centers’ oncology patients for internal and external audit purposes. However, much of the documentation data included in these systems often remain unused and unknown by most of the clinicians at the sites.

Objective

To improve access to such data for analytical purposes, a prerollout of an analysis layer based on the business intelligence software QlikView was implemented. This software allows for the real-time analysis and inspection of oncology-related data. The system is meant to increase access to the data while simultaneously providing tools for user-friendly real-time analytics.

Methods

The system combines in-memory capabilities (based on QlikView software) with innovative techniques that compress the complexity of the data, consequently improving its readability as well as its accessibility for designated end users. Aside from the technical and conceptual components, the software’s implementation necessitated a complex system of permission and governance.

Results

A continuously running system including daily updates with a user-friendly Web interface and real-time usage was established. This paper introduces its main components and major design ideas. A commented video summarizing and presenting the work can be found within the Multimedia Appendix.

Conclusions

The system has been well-received by a focus group of physicians within an initial prerollout. Aside from improving data transparency, the system’s main benefits are its quality and process control capabilities, knowledge discovery, and hypothesis generation. Limitations such as run time, governance, or misinterpretation of data are considered.

Modern Corneal Eye-Banking Using a Software-Based IT Management Solution

Background

Increasing government legislation and regulations in manufacturing have led to additional documentation regarding the pharmaceutical product requirements of corneal grafts in the European Union. The aim of this project was to develop a software within a hospital information system (HIS) to support the documentation process, to improve the management of the patient waiting list and to increase informational flow between the clinic and eye bank.

Materials and Methods

After an analysis of the current documentation process, a new workflow and software were implemented in our electronic health record (EHR) system.

Results

The software takes over most of the documentation and reduces the time required for record keeping. It guarantees real-time tracing of all steps during human corneal tissue processing from the start of production until allocation during surgery and includes follow-up within the HIS. Moreover, listing of the patient for surgery as well as waiting list management takes place in the same system.

Conclusion

The new software for corneal eye banking supports the whole process chain by taking over both most of the required documentation and the management of the transplant waiting list. It may provide a standardized IT-based solution for German eye banks working within the same HIS.