QS2 is a platform that hosts applications for the uniform collection, storage and evaluation of process data from different areas – e.g. in cardiac surgery, thoracic surgery and vascular surgery.
In contrast to browser-based web applications with a central database, QS2 consists of decentralized “satellite” systems that are operated as independent applications within the user’s respective domain. With a push from the satellites, a central station receives the data (on request or if necessary in a completely anonymous form) and can thus take over system-wide control and evaluation functions. The advantage of this system design, in addition to the complete self-sufficiency of the satellites, is 100% compliance with the strictest data protection guidelines without any restriction of functionality. This means that no data is transmitted or stored outside of the own domain boundaries that would make it possible to identify the individual.
The user interface (UI) and the application control (UX) are uniform for all products, which ensures users will quickly learn how to use it. The screen for collecting process data is displayed in three controllable levels: Procedure -> Chapter -> Area. This enables a clear grouping and arrangement of up to 2000 possible parameters, depending on the application. An intelligent control in the background ensures that only those parameters, that can be meaningfully filled in at the respective time, are displayed with possible values. This reduces the complexity for the user considerably.
Security and traceability are an essential basis for a successful register. Therefore, a detailed rights control based on user groups is integrated in QS2. The local administrator can adapt the rights control to the respective needs (role and confidence level of the users). In addition, it is ensured that the users are only allowed to see and analyse those areas (procedures / chapter 7 fields) for which they have received authorization.
Security also includes full logging of every user activity, including a log for changing each individual parameter with the value “before/after”. This ensures that valuable data can be protected from manipulation by unauthorized third parties and the trust of users can be maintained in the long term.
The recorded data is evaluated in QS2 on the basis of statistical principles (different scoring models) and presented and compared with risk stratification wherever possible. For this purpose, an integrated report generator based on the internal calculation engine is used, which creates predefined reports at the push of a button. By using a uniform data model with precise parameter definition (when does which parameter have which characteristics and how is it to be recorded), almost 100% comparability of the data from different centres is achieved.
On the same basis, users can also create individual evaluations that can be exported in different formats or used as a basis for the integrated OLAP-based evaluation engine. With this engine, OLAP slices can be created easily and without any prior knowledge, which provide a significant insight into the relationships between the parameters and the outcome.
QS2 uses a relational database (Microsoft SQL Server) for data storage. The database structure is multi-client capable, so that several houses, departments or products can be operated in one database within a group.