The vital system that is designed to oversee the operations of the laboratory, most especially pertaining to the management, storage, and processing of patient data, is attributed to a Laboratory Information System (LIS) (Orchard Software, 2023). As a healthcare software, LIS involves the integration of computers and information technology to interactively manipulate and completely coordinate all work processes in different sections of the clinical laboratory in a structured, organized manner. It contributes to better patient care and boosts efficiency in the workplace it is assimilated in.Â
 Uses of LIS
A LIS utilizes computer systems to its advantage by easing the workload and decluttering the processes by which each section interacts with each other to produce precise patient data for improved healthcare (DelVecchio, 2015). Specifically, as it is a system designed to collaboratively facilitate the different functions of the laboratory, it serves as a comprehensive database that simplifies the process of requesting a test, adds to the efficient production of specimen collection sheets/result entries, and contributes to the anonymity of identification labels with regards to patient demographics. Similarly, it also sustains the easy tracking and archiving of patient data which can be referenced for future health outcomes.
 What is the implication of AI in your future work?
I do believe that the prospering use and gradual integration of AI in a myriad of fields for various purposes has indeed paved the way for more efficient and effective work outcomes, easing the burdens of relatively difficult tasks, and especially compressing the duration of arduous methods/processes. Making routine procedures far easier and more methodological, the implications of AI in my future work would surely boost morale within the workplace such that, with proper programming and maintenance, can be used as a supplement for decision-making and quality assurance. Notably, AIs should never be seen as far superior to humans (who have years of experience and training in the field) as they, too, may be subject to certain lapses. In many areas our innate cognitive abilities must always be used as an anchor in the formulation of conclusions and that AIs should always be administered with great responsibility.Â
Processes, procedures, and policies are essential and must be adhered to to ensure that it is a secure and effective manner. At the top of the pyramid is the policy, a set of rules that must be followed to achieve certain long-term objectives. Second is the process that gives an idea of what to do. A process is a workflow that turns inputs into…[Read more]
Laboratory processes, workflow, and procedures are all important aspects of laboratory operations. However, they differ in their specific meanings and applications. Here are the definitions and differences between these terms:
Laboratory processes: Laboratory processes refer to the series of steps or activities that are carried out to achieve a…[Read more]
What is the difference between Policy, Processes, Procedures.
Policy – refers to a certain group that cumulatively agreed on implementing a set plan to conduct on to a specific situation.(Cambridge University Press, n.d.)
Procedure – this is basically a step-by-step manual or text that tells you how to do a certain activity. (Merriam-Webster…[Read more]
Policy- are the principles or rules that was proposed by an organization or individual to followed during the procedure or doing a certain action.
Process- a series of steps or actions that is done to obtain a particular result.
Procedure- an official way of doing a action or process.
What is the difference between policy, processes, and procedures?
Policy, processes, and procedures are all essential elements of organizational management and are mutually exclusive. While these terms are frequently used interchangeably, there are some important distinctions between them.
A policy is a high-level statement that describes an…[Read more]
🔬 Laboratory Information Systems
MT14-CC’s Docs ▸ 🔬 Laboratory Information Systems
Margarita S. Resuelo
MT 14 – CCÂ
What is LIS?
The vital system that is designed to oversee the operations of the laboratory, most especially pertaining to the management, storage, and processing of patient data, is attributed to a Laboratory Information System (LIS) (Orchard Software, 2023). As a healthcare software, LIS involves the integration of computers and information technology to interactively manipulate and completely coordinate all work processes in different sections of the clinical laboratory in a structured, organized manner. It contributes to better patient care and boosts efficiency in the workplace it is assimilated in.Â
 Uses of LIS
A LIS utilizes computer systems to its advantage by easing the workload and decluttering the processes by which each section interacts with each other to produce precise patient data for improved healthcare (DelVecchio, 2015). Specifically, as it is a system designed to collaboratively facilitate the different functions of the laboratory, it serves as a comprehensive database that simplifies the process of requesting a test, adds to the efficient production of specimen collection sheets/result entries, and contributes to the anonymity of identification labels with regards to patient demographics. Similarly, it also sustains the easy tracking and archiving of patient data which can be referenced for future health outcomes.
 What is the implication of AI in your future work?
I do believe that the prospering use and gradual integration of AI in a myriad of fields for various purposes has indeed paved the way for more efficient and effective work outcomes, easing the burdens of relatively difficult tasks, and especially compressing the duration of arduous methods/processes. Making routine procedures far easier and more methodological, the implications of AI in my future work would surely boost morale within the workplace such that, with proper programming and maintenance, can be used as a supplement for decision-making and quality assurance. Notably, AIs should never be seen as far superior to humans (who have years of experience and training in the field) as they, too, may be subject to certain lapses. In many areas our innate cognitive abilities must always be used as an anchor in the formulation of conclusions and that AIs should always be administered with great responsibility.Â
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