Medical exam data is spread across several devices, and there is no easy way to access all exams
within an unique application.
Clinicians have to handle printed exam results or to waste time going to the equipment. Resources are also wasted with physical archive and related logistics.
OphthalSuite is an integration platform for Ophthalmology that connects all devices to a centralized database,
regardless of the manufacturer.
It connects to the existing medical records management system of the hospital and it is compatible with several devices and exam types, such as Retinography, Angiography, among others.
Clinicians can access exam results in real time, navigate easily through the patient
exams, view all images with full quality, access all acquired numerical values and view graphical evolution of numeric values.
They can also compare exams taken in different periods, side by side or in mosaic, and thus assess patient evolution.
OphthalSuite organizes the performed exams chronologically for each patient on the several Ophthalmology appointments. It allows reviewing all the diagnostic exams in real time, in the appointment room, regardless the equipment where it was performed.
Several exams can be reviewed simultaneously in mosaic or side by side views.
It includes a Business Intelligence Module that facilitates accessing and handling numerical data that is acquired from each piece of equipment, facilitating customized queries and clinical research.
The imageCore Module allows clinicians to quickly access all clinical exams information, navigate in the patient exams, view images, videos, numerical results.
During the first 9 years, 120,000 images were saved. During the last 4 years, 1,480,000 of a total of 1,600,000 images were saved using OphthalSuite, avoiding the same amont of paper prints!
County Durham and Darlington NHS Foundation Trust is one of the largest integrated care providers in England, serving a population of around 600,000 people. Their ophthalmology department provides a wide range of in-patient and outpatient treatment for eye conditions, emergency treatment and elective surgery across three sites.
Images are not the only relevant output for Ophthalmic exams, but most devices don't make it an easy task to retrieve the relevant numeric data. We have developed a large array of tools that allow us to retrieve and extract to spreadsheets:
Some devices (e.g. OCTs) do not have streamlined and automated ways of exporting data acquired (B-Scans) as full quality images to organized folders.
Our software tools allow to automate the organized export of full quality images and metadata, which is especially relevant for image processing research.
Patient demographics on each capture devices do not always perfectly match to patient demographics on the Hospital main Database.
This can be due to human error while inserting data, but also caused by the natural patient information lifecycle, where the Hospital might change rules for patient IDs, patients will marry and change their surname, etc.
We have the ability to extract all demographics from several devices, match them against extracts of the main Hospital database, and highlight data quality issues that may be clinical risks.
BlueWorks - Ophthalmic Imaging Management Solutions is a technological start-up which envisions an empirical medicine, based on evidences, and supported by ICT tools that simplify the gathering and analysis of data for objective decision-taking.
Founded in 2007, it’s the result of a joint-initiative from companies with different fields of expertise – engineering, healthcare providers, and electrophysiology – and has developed several innovative systems for diagnosis and therapy support, with a special focus in Ophthalmology.
BlueWorks intends to become a global supplier of excellence technological solutions to support clinical practice, research, and clinical trials.
BlueWorks develops technology from scratch. BlueWorks can customize the mechanisms of interaction of clinicians with technology formats for fast, intuitive, and comfortable use, even providing their solution algorithms and data presentation mechanisms apply not only to Ophthalmology, like other medical specialties.
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