Q1: What is LIS?

A: According to R. McCudden et al. (2020),  the core of managing clinical laboratory information is the Laboratory Information System (LIS), which encompasses software, operating systems, and hardware tailored to the specific needs of a laboratory. The configuration of the LIS can be highly customized to support the operational processes of the laboratory. They added that the LIS plays a crucial role in every stage of laboratory testing, facilitating the flow of information to and from the system throughout the process of coming up with a result.

Reference:

321. McCudden, C., Henderson, M., & Jackson, B. (2020). Laboratory Information Management. Www.sciencedirect.com, 301–321. https://doi.org/10.1016/B978-0-12-815499-1.00018-1

Q2: Uses of LIS?

A: According to Muin (2017), the uses of LIS are the following: sample/specimen management, patient demographics, order management, management and quality control of instruments and analyzers, results management, integration with HIS and other systems, etc. It also helps in reducing the use of paper since all the information is placed in the system. Additionally, patient safety is enhanced as a result of faster turnaround times, improved access to results, and comprehensive quality checks which is made possible by the use of LIS.

Reference:

Muin, M. (2017, April 23). What are the Uses and Benefits of a Laboratory Information System? | MedProjects. MedProjects. https://medprojects.com/2017/04/what-are-the-uses-and-benefits-of-a-laboratory-information-system/

Q3: What is the implication of AI in your future work?

A: I believe that the use of AI would make it easier, faster and more efficient for me to go around with my work. We all know that artificial intelligence has its own negative impact but as long as it is used responsibly, then there is nothing wrong with it. It’s important to remember that AI’s  must not displace us from the workplace, instead, it will automate mundane and repetitive tasks which would allow us to engage in more intricate and complex operations. It will also be beneficial in medical diagnosis, scientific research, data analysis, and process automation.