Clear communication within the team and streamlined workflows will be implemented to ensure timely test result delivery. Data entry can be automated, and training sessions and feedbacks will also help maintain efficiency, keeping everyone on track and focused on deadlines.

En tiempos en que es clara la tendencia al aumento de requerimientos, al mismo tiempo que disminuye la planta laboral, es más necesario que nunca apuntar a una correcta y eficiente priorización de tareas. Este proceso requiere de un flujo de comunicación eficiente de todas las áreas involucradas que solicitan resultados, y es la base para cumplir con los plazos. De ahí en más, la automatización de tareas, la reducción del "scrap" analítico y documental, son áreas que cada equipo debe optimizar según su especialidad.

One of the first things I teach any lab professional is the importance of monitoring the pending results list. No matter how much effort you put in, if results aren’t delivered on time, the job isn’t done. Real-time workflow monitoring tools help anticipate and prevent delays, rather than just fixing them later. If I had to choose one Key Performance Indicator, it would be compliance with announced TAT. Achieving this requires collaboration between IT, Medical, Technical, and Quality teams. Start simple to ensure visibility, then refine over time. Keeping an eye on results ensures patients receive the best care.

After experiencing lab life from both aspects (in lab and then from the commercial side), it is clear that staff workloads are increasing but staffing levels are decreasing. Automating tedious tasks allows your scientists to free up valuable time to focus on important things like instrument uptime, QC, patient testing, result interpretation and reporting. When skilled staff are doing tasks that add no value to the patient journey, your lab becomes inefficient and allows error to creep in to your process.

Here are the 10 tips to increase productivity in a lab. 1. Stay Organized: Keep your lab clean and organized for efficient work. 2. Set Priorities: Prioritize tasks and work accordingly. 3. Take Breaks: Take regular breaks to refresh your mind. 4. Collaborate: Work with your team to achieve better results. 5. Leverage Technology: Utilize lab technology for faster and efficient work. 6. Follow Safety Protocols: Adhere to lab safety guideline - Use time management tools - Minimize distractions - Stay updated with industry developments - Encourage open communication - Recognize and reward achievements By implementing these tips, you can significantly boost productivity in your lab.

I think autoverification in core lab with implementation of Delta check has a great impact on improving lab outcome by avoiding human errors and delay of results approval

-sop -automation and technology. -staff training and cross training. -effective communication and coordination. -sample prioritization. -inventory and equipment management.

Here are several strategies that can help achieve these goals: 1. Streamlined Processes. 2. Automation and Technology. 3. Effective Resource Management. 4. Quality Control Measures. 5. Prioritization and Scheduling. 6. Effective Communication. 7. Performance Monitoring. 8. Collaborative Environment. 9. Inventory Management. 10. Data Management and Reporting. 11. Flexible Testing Strategies. 12. Stakeholder Engagement. 13. Crisis Management Plans. 14. Regular Review and Improvement. 15. Emphasizing a Positive Work Culture. 16. Utilizing Performance Metrics. 17. Incorporating Feedback Mechanisms. 18. Integration with Clinical and Research Teams. 19. Training and Development 20. Efficient Sample Management

I would find ways to incorporate automation and highthroughput methods. Automation is a broad term that can mean robotics like liquid handlers. At Johnson & Johnson we incorporated liquid handlers and autosamplers in our methods which streamlined them. At Merck we did almost everything with liquid handlers and automated extractors. However, automation can also include data automation through AI and ML as well as data structuring. I wrote apps to incorporate these into our data analysis. However, if you want to validate the applications, it is much like validating methods in R&D. You will have many guidelines to follow and ot will be a tedious task. At Merck we also used highthroughput analysis including using Unchained Labs technology.