StrokeClock 3 vs CSF

The StrokeClock App offered by the StrokeCenter Bern, Switzerland, allows continuous monitoring of the stroke treatment workflow in Stroke Centers and Stroke Units. The time points measured (i.e. hospital arrival, start IVT) are adjustable which allows perfect adaption to local needs. The statistical tool included in the app can be used to identify critical time-consuming processes within the stroke treatment workflow. The StrokeClock App can be used in two modes: - Local mode: In local mode data is stored locally and send to a pre-specified email address (CSV file). - Dashboard mode (activated by entering user data from www.strokeclock.ch within the settings). In Dashboard Mode Data is transferred real-time to a password-protected internet accessible database: o The dashboard gives overview on the current treated patients and the actual time point within the workflow. o A statistical tool can be used to identify critical time-consuming processes within the stroke treatment workflow. o Dashboard mode allows a multiuser usage for large Stroke Centers. o Database can be exported (CSV file).

The CSF App is providing a competent crash course in CSF data interpretation for neurologists, psyciatrists and clinical chemists. The disease-related data patterns in Reibergrams allow the differential diagnosis of bacterial, viral, parasitic, oncological, chronic inflammatory, autoimmunological and psychiatric diseases. A corresponding commentary to each disease pattern extends the knowledge base. A bed side interpretation software allows data presentation in Reibergrams for IgG,IgA,IgM and in a quotient diagram for free light chain kaqppa. The calculator for antibody Index (AI-) values allows also the interpretation of the combined MRZ - Antibody reactions. The corresponding knowledge bases are published in Reiber H. (2024) Cerebrospinal fluid in Neurology. Paradigm change in brain barriers, immune system and chronic diseases. Essentials Series, Springer (the German version appeared 2023). Reiber H (2016). Cerebrospinal fluid data compilation and knowledge-based interpretation of bacterial, viral, parasitic, oncological, chronic inflammatory and demyelinating diseases: Diagnostic patterns not to be missed in Neurology and Psychiatry. Arq Neuropsiquiatr. 74:337-350