Posters

A computer-based cataract surgery planning tool: automatic big data feed from electronic health record, biometry and keratometry

Poster Details

First Author: K.Kortüm GERMANY

Co Author(s):    B. Ahlborn   A. Babenko   M. Mueller   A. Kampik   T. Kreutzer        

Abstract Details

Purpose:

To develop a computer based planning tool for cataract surgeons, which incorporates all relevant data from different sources for pre-operative assessment in cataract surgery. Additional features include ability to track patients after surgery and inform surgeons of follow-up visits by email.

Setting:

The tool was implemented at the University Eye Hospital of Ludwig-Maximilians University, Munich – a tertiary reference centre - with more than 65,000 outpatient cases per year and more than 12,000 intraocular procedures.

Methods:

Customized user interfaces for pre- and post-operative examination documentation within “i.s.h.med” electronic health record (EHR) (Cerner GmbH, Germany) system were created. All clinical data is exported automatically into our Smart Eye Database (SMEYEDAT) (MSSQL Database, Microsoft, USA) and complemented automatically by data from Biometry (IOL Master, Zeiss Meditec, Germany), Keratometry (Pentacam, Oculus, Germany) and Optical coherence tomography (Spectralis OCT, Heidelberg Engineering, Germany) using the unique patient’s EHR Patient ID. The cataract surgery planning and follow-up tool was developed on a webserver, accessing the SMEYEDAT Database. Imaging Data is stored in an ophthalmological picture archiving system (PACS) (Forum, Zeiss, Germany).

Results:

A web interface was developed, where patients can be looked up and their data from the database is shown. From EHR visual acuity, intraocular pressure, diagnoses, plans and clinical findings are displayed. IOL calculations and measurement values from IOL Master (anterior chamber depth, axial length etc.) are visible. All relevant Keratometry values like K1 and K2 are as well as central retinal thickness from OCT are presented, if available. There is a button, which allows opening the PACS viewer for image or map review. Furthermore, an option to be notified by email, if the patient visits the hospital again, is offered.

Conclusions:

A valuable tool for cataract surgeons in large university hospitals using i.s.h. med could be developed. As there is also an option to follow a patient, trainees can benefit from this system, as they became aware of their personal performance and measure their outcomes. A future export to EUREQUO is intended. Further possibilities are consecutive studies on cataract patients as all data is linked by a unique patient ID.

Financial Disclosure:

NONE