Process Analysis in Laboratory Analytics
01 Evaluation
Assess current performance and identify areas for improvements.
02 Data Upload
Monthly upload of relevant data to shared folders.
03 Data Analytics
Analyze data to gain insights and patterns.
04 Reporting
Summarize results and present them.
05 Improvements
Implement changes bases on insights to enhance performance
The optimal design of a comprehensive process analysis requires careful coordination between the professional groups involved across the boundaries of care. This is the only way to ensure efficient and high-quality analysis and reporting.
Your project with salvevita
Project InquiryIndication-Specific Laboratory Requirements
At the beginning of the process, the clinical need defines the requirements for the lab analysis. This includes the medical indication, the parameters to be tested, and any timing constraints. Clear and precise formulation of these requirements is essential to ensure that the subsequent analysis is both efficient and accurate.
Laboratory Analytics and Automation
The analytical process must follow standardized and well-defined steps to ensure consistent, high-quality results. Automation plays a key role in enhancing efficiency, minimizing errors, and increasing throughput—especially as testing volumes and complexity grow.
Quality-Assured & AI-Supported Reporting
Reporting builds on the analysis results, supported by AI and intelligent algorithms that accelerate and enhance interpretation. To maintain quality and trust, these systems must be routinely validated and monitored to ensure accuracy, reliability, and compliance with medical standards.
Management
Laboratory request control using key performance indicators (KPIs).
Hygiene Management
Development and implementation of prevention and optimisation measures.
Infectiology
Development and implementation of guidelines on antibiotic administration.
Lab Concepts
Comprehensive process analysis from the laboratory request to the evaluation of findings and billing.