Manter a produtividade do laboratório sem comprometer prazo de entrega e qualidade está diretamente associado ao quanto a gestão entende e se compromete com isso. Importante gerenciar o tempo de forma produtiva aliando sistema informatizados para execução de trabalhos que demandariam mais tempo se fossem feitos de forma manual. Garantir que a rotina das análises sejam consolidadas em bateladas, alinhando tempo do analista com o prazo de resposta. O time line deve ser bem ajustado e refletir de forma integral o quanto o laboratório quer entregar de resultado e qualidade.

If you are using Intel architecture a good idea is to use parallel SIMD instructions such as avx y sse. If you are using ARM architecture you can use NEON instructions. With those instructions you can improve the speed of processing samples.

To save time without compromising accuracy, we can streamline sample processing by optimizing our workflows, improving equipment maintenance to ensure peak performance, and leveraging automation where applicable. Additionally, training the team to identify and address bottlenecks promptly, along with implementing standardized protocols, can help improve efficiency while maintaining the quality and accuracy of results.

Automate Repetitive Tasks: Use automated sample preparation systems to reduce manual handling. Streamline Workflow: Evaluate and reorganize workflow processes to minimize bottlenecks. Batch Processing: Process samples in batches to maximize equipment efficiency. Staff Training: Ensure staff are fully trained on protocols to reduce errors and rework. Upgrade Equipment: Invest in faster, more accurate lab equipment if budget allows. Data Management Systems: Use a Laboratory Information Management System (LIMS) to manage samples and reduce administrative delays.

There is no taking too long in sample processing, there is a fixed estimated time. Like a production line you need to test and take then monitor time to create data. As in lean manufacturing and six sigma, you can use that information to create a sample processing system, to control and set fixed parameters. Only when you have all the baseline information available will you be able to make decisions on how to improve the process.

Streamlining sample processing without sacrificing accuracy is like shaving seconds off a recipe while keeping the flavor intact. Start by examining bottlenecks—are your tools outdated, workflows clunky, or steps redundant? Automate repetitive tasks where possible, but don’t let a machine replace a sharp human eye. Optimize batching to reduce downtime between runs, and consider parallel processing if your setup allows. Train your team to standardize techniques, so variability doesn’t sneak in disguised as creativity. And above all, track results meticulously—saving time is pointless if accuracy goes out the window.

Streamline workflows by automating repetitive tasks, optimizing equipment usage, and training staff for efficiency to save time in sample processing without losing accuracy. Prioritize sample preparation and implement batch processing to reduce delays while maintaining quality.